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Review

Health-Related Quality of Life in Psoriasis: Literature Review

by
Gioele Ghezzi
1,2,
Antonio Costanzo
2,3 and
Riccardo G. Borroni
2,3,*
1
Humanitas University, 20072 Pieve Emanuele, MI, Italy
2
Dermatology Unit, Humanitas Research Hospital—IRCCS, 20089 Rozzano, MI, Italy
3
Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, MI, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(16), 4623; https://doi.org/10.3390/jcm13164623
Submission received: 19 July 2024 / Revised: 3 August 2024 / Accepted: 5 August 2024 / Published: 7 August 2024

Abstract

:
The assessment of quality of life (QoL) in patients with psoriasis plays a crucial role in understanding the impact of the disease and evaluating treatment outcomes. We provide an overview of the key measures used to assess QoL in psoriasis patients, including both generic and psoriasis-specific instruments. The limitations and strengths of instruments such as the Dermatology Life Quality Index (DLQI), Skindex, and Psoriasis Disability Index (PDI) are discussed, highlighting their psychometric properties and areas for improvement. Furthermore, this review examines the potential of disease-specific QoL measures in providing greater sensitivity to disease-related burden and change compared to generic instruments. However, most of the available psoriasis-specific patient-reported outcome measures need further validation. We aim to provide valuable insights into the importance of using validated QoL measures in clinical practice and research, ultimately contributing to a more comprehensive assessment of the impact of psoriasis on patients’ lives and enhancing the evaluation of treatment interventions.

1. Introduction

The skin is the most visible organ on the body’s surface and acts as a sensory organ, providing information about pain, pleasure, temperature, and pressure. Furthermore, the skin is where important events and processes that are essential for our thoughts, emotions, and social interactions take place [1]. It has been theorized that the skin is a crucial component of the mind’s structures and functions [2]. The World Health Organization (WHO) defines quality of life (QoL) as “an individual’s perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns” [3]. Skin changes have a significant impact on how we view ourselves and how others perceive us, as well as our overall physical and mental health. Skin conditions are collectively ranked as the fourth most common cause of non-fatal disease burden worldwide [4]. Healthcare providers and scientists have long recognized the influence of skin conditions on various facets of patients’ lives and the potential for successful treatment to enhance patients’ quality of life. Health-related quality of life (HRQoL) is a complex and multidimensional construct that reflects an individual’s quality of life as it relates to their health or disease status [5,6].
Psoriasis, a chronic, inflammatory disease of the skin and joints affecting about 3% of the global population, is associated with disability levels comparable to those of other significant conditions, such as cancer, hypertension, arthritis, diabetes, and heart disease [6,7]. The lesions of psoriasis can cause itching [8,9], pain, and soreness [9,10,11], and in certain instances, the skin may fissure and bleed [8,9]. In addition, individuals with psoriasis experience remarkable psychological distress such as social embarrassment, reduced body satisfaction, anxiety, and depression [8,10,12,13,14,15,16,17], including increased likelihood of suicidal behaviors [18]. Patients must actively manage their psoriasis; however, excessive psychological distress can disrupt effective self-management [19]. Topical treatments are the mainstay of the majority of patients, but the time required for treatment is associated with reduced QoL [20]. Topical treatments’ smell, formulation, or cosmetics and their side effects such as itching, burning, and dryness also hamper their use, eventually leading to dissatisfaction [21]. The literature indicates that individuals suffering from psoriasis might adopt unhealthy coping mechanisms [22], such as excessive alcohol consumption [13,23], overeating [24], and smoking [24,25]. Interestingly, a study showed that significantly more patients with visible lesions have a drinking history compared to those without visible lesions; those with exposed lesions also have a significantly higher percentage of smoking history [26]. Impairment of HRQoL correlates not only with psoriasis severity as measured by clinician-reported outcomes (CROs) but may also be influenced by younger age, female gender [27], scalp or nail involvement, skin lesions on visible areas such as head/neck, and involvement of genitals/groin or hands and feet [28,29,30,31,32] (Figure 1).
Healthcare choices and research on health services rely on standards assessing disease severity and treatment course [33]. The Psoriasis Area Severity Index (PASI) is a clinician-reported outcome (CRO) measure that calculates the skin area extent and lesion appearance (score range, 0–72, with higher scores indicating more severe disease). Body surface area (BSA) can be classified as less than 3% for mild psoriasis, 3% to 10% for moderate disease, and 11% or greater for severe disease. PASI and BSA are the most commonly used CRO measures in psoriasis [34]. The definition of severe psoriasis is important in clinical practice not only for adequate management but also for reimbursement by healthcare providers. In addition to objective evaluation, the severity of psoriasis can be assessed by its impact on social life, self-perception, and physical discomfort. These parameters may all be evaluated by QoL questionnaires. Health-related QoL outcomes are relevant in psoriasis for therapeutic decision making, particularly for systemic therapies [28,35,36]. Remarkably, clinicians often differ with patients’ perceptions on HRQoL. For this, careful and close patient–physician communication is needed to identify fields of risk for QoL impairment efficiently. A literature search was performed through the PubMed database using the keywords “psoriasis”, “questionnaire”, “quality of life”, and “patient reported outcome”. Age (<18), language (only articles written in English were included), psoriatic arthritis, and psoriasis types other than chronic plaque psoriasis were exclusion criteria. In order to find relevant studies, the articles were first assessed, and additional pertinent research was discovered by examining the citations referenced in each included article. This review aims to summarize the current literature on the most validated tools available in English for assessing HRQoL and disease-related QoL in adult patients with psoriasis vulgaris (chronic plaque psoriasis) and discuss future directions for efficiently implementing these tools into clinical practice and research.

2. Generic and Dermatology-Specific Health-Related Quality of Life (HRQoL) Measures

Patient-reported outcome (PRO) measures offer patients and healthcare providers a means to evaluate physical and mental functioning, aid in treatment decision making, recognize coping strategies from the patient’s viewpoint in clinical assessments [37,38,39], and enhance communication between patient and clinician [38,40]. Among the generic HRQoL questionnaires, the Short Form 36-Item Health Survey (SF-36) has cross-cultural validation [41] and is widely used in clinical trials. Since its focus consists essentially in the physical dimension, it is inadequate for assessing the psychological sphere of patients. Therefore, it might be useful to associate SF-36 with other tools.
In 1972, Dahl and Comaish stated that psoriasis treatment was “good” if it reduced the extent of lesions or scaling, leading to a noticeable improvement in the patient’s social or professional life [42]. In 1994, Finlay and Khan created the Dermatology Life Quality Index (DLQI) [43], the first tool specifically designed for assessing quality of life in dermatology. This development enabled numerous studies on the effects of skin conditions on patients’ quality of life [44]. The DLQI comprises ten inquiries that delve into various aspects of a patient’s life, including physical functioning, well-being, and social functioning. DLQI scores range from 0 to 30, whereby 0–1 = “no effect”; 2–5 = “small effect”; 6–10 = “moderate effect”; 11–20 = “very large effect”; 21–30 = “extremely large effect”. The DLQI gathers particular details not covered by general HRQoL tools like the SF-36, supporting the necessity for dermatology-focused surveys. The DLQI provides a succinct measurement of certain facets of patient functioning and is generally sensitive to changes at different stages of this disease [45]. A change of four points in the DLQI correlates with the minimum clinically meaningful change in a person’s HRQoL, defined as the smallest difference in the score of a domain of interest that patients consider as beneficial and which would justify a change in patients’ management, in the absence of worrisome side effects and excessive cost [46]. Indeed, DLQI is also an instrument to evaluate treatment success, with treatment goals currently set for DLQI < 2 [47]. The DLQI has been extensively validated, owing to its simplicity and brevity [48]. It has emerged as the most frequently utilized PRO tool in dermatology, with translations available in various languages. Both PASI and DLQI reflect disease burden [49] and predict socioeconomic stress [50]. The correlation between absolute PASI and absolute DLQI, however, is weak [51,52], although there seems to be a correlation between an improvement in PASI and an improvement in the DLQI [53]. Studies reported female gender and higher PASI score as factors impacting DLQI negatively [54,55,56], with younger age showing an association with lower quality of life [56,57]. Disease duration was also linked to quality of life, with the highest HRQoL impairment in patients with long-standing disease [26,54,57].
These instruments are crucial for determining treatment objectives for psoriasis. Along with PASI, DLQI has also been used for outcomes measurement in clinical trials [58,59], patient registries [60,61,62,63], and real-world observations [53,54] as well as in health services research on the quality of care [51,64,65,66]. The impact on HRQoL as measured by DLQI is taken into account also in the definition of psoriasis severity. Following Finlay’s “rule of tens”, severe psoriasis is defined as either PASI > 10 OR BSA > 10 OR DLQI > 10 [67]. The 2011 European consensus definition of moderate-to-severe disease is “(PASI > 10 or BSA > 10) AND DLQI > 10” [68], but this approach might exclude from systemic treatment up to 5.9% of patients who exclusively have a subjective feeling of severity (DLQI > 10 but PASI < 10). In addition, according to the same criteria, treatment efficiency could be somewhat overestimated in 4.1% of patients under systemic therapy whose DLQI is >10, albeit with PASI < 10 [69]. A more recent definition of severe psoriasis is >10% BSA or special areas affected or BSA 5–10% and DLQI > 10 [30]. Higher PASI responders tend to achieve greater improvement in DLQI [70,71], and some studies [72,73] have shown a correlation between changes in PASI and improvements in DLQI.
While its classical psychometric properties (including test–retest reliability, internal consistency, and construct validity) have generally been found to be adequate, more in-depth studies using Rasch analysis (see below) have highlighted that using the DLQI as a unidimensional instrument may not be acceptable, since its total score might not reflect the different domains explored by the questionnaire [74,75]. In addition, the item responses of more than half of the questions are affected by external factors such as age, gender, diagnosis [74,75,76], and nationality [76,77], not solely by the level of HRQoL impairment. This might have implications when using the DLQI to assess the impact of psoriasis in heterogeneous patient populations, or as an outcome measure in large international clinical trials, or in older adults, in which QoL has different focuses than middle-aged adults. Even in the case of equal total QoL scores in patients from different countries, the difference between separate QoL item scores may be significant [78].
The Skindex-29 questionnaire comprises 29 questions examining three areas: symptoms, emotions, and function. It produces domain-specific scores ranging from 0 to 100, with higher scores indicating a more significant impact of skin disease on QoL and functioning. Various studies have validated its applicability to common skin disorders, making it a valuable tool for establishing treatment baseline and assessing QoL [79]. When the Rasch model was initially applied to the Skindex-29, it was discovered that the 29 items did not conform to the model. After 12 items were removed and the response categories were regrouped, resulting in two scales instead of three, the Skindex-17, as it was renamed, finally conformed to the model [76]. The first scale examines a subject’s psychosocial functioning, while the second addresses symptoms [80]. The Skindex-17 exhibits significantly less item bias related to age, gender, diagnosis, and nationality, affirming the feasibility of attaining these desirable measurement properties [76,77]. This refinement process was crucial in developing the Skindex-17 and underscores the commitment to creating a robust and accurate tool for assessing QoL in patients with skin diseases. The Skindex-16, a versatile tool derived from the Skindex-29, is one of the most widely used dermatology-specific HRQoL questionnaires [81]. In a comparative study, it was found that the Skindex-16 is more sensitive than DLQI in identifying mild impairment in HRQoL [82].

3. Psoriasis-Specific Health-Related Quality of Life (HRQoL) Measures

The potential of disease-specific QoL measures is promising, as they can provide greater sensitivity to disease-related burden and change compared to generic instruments [83]. Therefore, they enable the detection of small changes in psoriasis-specific QoL and are suitable both in daily practice and in clinical trials. In addition, they could be helpful in identifying what aspects of psoriasis-related QoL are most important to individual patients. Recently, the measurement properties of some dermatology-specific and psoriasis-specific HRQoL measures used in dermatology have been evaluated according to the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) criteria, which are the current “gold-standard” [84,85]. We review here the most relevant self-reported psoriasis-specific HRQoL measures available in English for psoriasis vulgaris (chronic plaque psoriasis). Data are summarized in Table 1.

3.1. Psoriasis Disability Index

One of the first and the most studied PROs specific to psoriasis vulgaris is the Psoriasis Disability Index (PDI), developed by Finlay and Kelly in 1987. The PDI comprises 15 questions that focus on assessing the QoL of adult psoriatic patients [86]. There are two possible scoring systems (visual analog scale from 1 to 7 or tick box with questions answered as either 0 (“not at all”), 1 (“a little”), 2 (“a lot”), or 3 (“very much”). It measures the impact of psoriasis on various aspects of a patient’s life, including daily activities, leisure, occupational/school functioning, and relationships. While the PDI demonstrates psychometric strength as validated by several studies [41], it does not evaluate emotional or psychological well-being in relation to psoriasis, being rather focused on disability. This limitation may hinder its ability to provide a comprehensive assessment of the impact of psoriasis in clinical practice unless it is used alongside an additional measure. Additionally, the PDI has been shown to have poor reproducibility [41], making it unsuitable for clinical trials. Although it exhibits good construct validity, content validity, internal consistency, respondent burden (acceptability), and responsiveness [87], its dimensionality and differential item functioning are poor [41].

3.2. Psoriasis Life Stress Inventory

The Psoriasis Life Stress Inventory (PLSI) [88] is a 15-item measure that evaluates the effect of daily stressors, including psoriasis-related experiences and the degree of associated stress, aimed at measuring the social impact of psoriasis. Each item is scored on a four-point scale, ranging from 0 (“not at all”) to 1 (“slight degree”), 2 (“moderate degree”), and 3 (“a great deal”). The total score varies from 0 to 45, with higher scores indicating greater levels of daily stress [88]. There is not sufficient published evidence to determine full face and content validity of the PLSI. Structural validity was rated insufficient [87]. The PLSI has a high degree of internal consistency. It demonstrates comparability with PASI scores. Specifically, patients with a PLSI score of 10 or greater have been found to have greater overall psoriasis severity.

3.3. Salford Psoriasis Index

The Salford Psoriasis Index (SPI) [89] is made up of three individually scored measures: (1) signs, (2) psychosocial disability, and (3) intervention. The signs measure converts the PASI score into a number ranging from 0 to 10. The psychosocial impact measure evaluates the effect of psoriasis on daily life, using a visual analog scale of 0 (“not at all affected”) to 10 (“completely affected”). The intervention measure reflects historical disease severity, where extra points are given for the need for systemic treatment, admission to the hospital, and number of episodes of erythroderma [89]. The psychosocial impact measure is strongly associated with the PDI, but it is poorly correlated with PASI [89]. The current psychosocial impact components of the Salford Psoriasis Index showed significant correlation with DLQI [89].

3.4. Self-Assessed Simplified Psoriasis Index

The Self-Assessed Simplified Psoriasis Index (SaSPI) is a 13-item measure of psoriasis symptom severity that allows patients to document the areas of their body affected by psoriasis. The SaSPI includes a single item to assess psychosocial impact using a 0–10 visual analog scale; this may not capture the full impact of psoriasis on the emotional well-being and daily functioning of patients. The SaSPI is based on the SPI [89]; however, there is no published evidence of qualitative research to support the content of the SaSPI. Construct validity was demonstrated through a strong correlation with the DLQI, and adequate reliability was also shown [90]. The three SaSPI components include separate indicators of current severity, psychosocial impact, and historical course.

3.5. Psoriasis Quality of Life 12-Items

The Psoriasis Quality of Life 12-items (PQoL-12) is a part of the Koo–Menter Psoriasis Instrument (KMPI) [91,92], which was originally developed to assist dermatology providers in the indication of systemic (including biologic) therapies for reimbursement purposes [93]. The PQoL-12 consists of 12 items completed by the patient before the physical examination. The score ranges between 0 (best QoL score) and 120 (worst QoL score), with a statistically significant cut-off threshold separating patients with substantial QoL impairment set to a score of 50 points. The PQoL-12 instrument is valid and reliable and was found to be predictive of PASI [91,92].

3.6. Psoriasis Symptom Inventory

The Psoriasis Symptom Inventory (PSI) [94] is an eight-item measure that assesses signs and symptoms of itching, redness, scaling, burning, stinging, cracking, flaking, and pain. The severity of each item/sign or symptom is scored on a scale of 0 (“not at all”) to 4 (“very severe”); the eight items are summed for a total score (range 0–32). The psychometric properties of both the 7-day and the 24 h recall versions [95,96] were tested in patients with moderate-to-severe psoriasis, and construct validity was determined through correlations with the DLQI and SF-36 [96]. The PSI showed evidence of adequate reliability [96] and an ability to detect improvement [97], although there is no published data regarding its responsiveness to deterioration.

3.7. Impact of Psoriasis Questionnaire

The Impact of Psoriasis Questionnaire (IPSO) is a questionnaire used to measure the impact of psoriasis, consisting of 16 items with clear scoring and completion instructions [98]. Its reliability has been well demonstrated through various techniques, such as classical test theory and Rasch analysis [87]. However, the four-week recall period may not be the most effective for patient recall and detecting frequent changes. Despite this, both the reproducibility and item bias of the IPSO have been deemed good [41]. A recent systematic review indicated that only the IPSO-11 Rasch version [87] had sufficient evidence for a strong recommendation for use according to the COSMIN guidelines [84,85,99].

3.8. Psoriasis Index of Quality of Life

The Psoriasis Index of Quality of Life (PSORIQoL) [100] is a 25-item questionnaire developed from the responses of 62 patients with psoriasis in the United Kingdom, Italy, and The Netherlands that evaluates the impact of psoriasis on quality of life, covering social difficulties, embarrassment, and limitations in daily functioning. The PSORIQoL includes items related to fear of negative reactions from others, self-consciousness and poor self-confidence, problems with socialization, physical contact and intimacy, limitations on personal freedom and impaired relaxation, and sleep and emotional stability. It uses a yes/no response scale, which may not capture smaller changes important to patients and clinicians. Patients receive one point for each item for every negative statement with which they agree. The final scores range from 0 to 25, with higher scores indicating worse psychosocial impact. The questionnaire has shown good psychometric properties, including reliability and validity by Rasch analysis [101]. The PSORIQoL construct validity and content validity, unidimensionality, and reproducibility are good, and respondent burden is acceptable [41]. Of note, the internal consistency of the PSORIQoL is higher than that of DLQI. The PSORIQoL is also thought to be a useful tool in clinical trials [102].

3.9. Pictorial Representation of Illness and Self Measure

The Pictorial Representation of Illness and Self Measure (PRISM) [103] is a visual tool consisting of a yellow circular disk and a smaller red disk to represent the respondent’s life and psoriasis, respectively. The patient is asked “Where would you put the illness in your life at this moment?” The main outcome measure is the distance between the two circles, i.e., the self-illness separation score. The PRISM task has been tested in patients with psoriasis but requires a trained administrator and detailed discussion to identify particular difficulties. The resources required mean it is unlikely feasible for routine clinical use.
Table 1. Summary of the main features of selected psoriasis-specific HRQoL PRO measures. Modified from [87].
Table 1. Summary of the main features of selected psoriasis-specific HRQoL PRO measures. Modified from [87].
Patient-Reported Outcome MeasureConstructRecall Period(Sub)scale(s)
(Number of Items)
Response OptionsScore RangeLimitsAdvantages
Psoriasis Disability Index (PDI) [86]Psoriasis disability4 weeksDaily activities (5), work or school (3), if not at work/school (3), personal relationships (2), leisure (4), treatment (1)4-Point adjectival scale0–45Does not evaluate emotional or psychological well-being, it requires use alongside additional measures, poor reproducibilityGood psychometric properties, except for differential item functioning and dimensionality
Psoriasis Life Stress Inventory (PLSI) [88]Psoriasis-related stress4 weeks1 scale (15)4-Point adjectival scale0–45No sufficient published evidence to determine content validity, insufficient structural validityHigh internal degree of internal consistency, comparability with PASI scores
Salford Psoriasis Index (SPI) [89]Signs, psychosocial disability, and treatment historyThe whole disease history of the patientSigns, psychological disability, and interventions10-point score for each subscale0–30Poor correlation of the psychosocial impact measure with PASIGood correlation with PDI, holistic approach
Psoriasis Quality of Life 12-items (PQoL-12) [91,92]Psoriasis-related QoL and symptoms4 weeksQuality of life (8) and symptoms (4)10-point scale0–120Only partial correlation with PASIValidity and reliability
Self-Assessed Simplified Psoriasis Index (SaSPI) [89]Psoriasis signs and symptoms severityThe whole disease history of the patientCurrent severity, psychosocial impact, and historical course50-point scale (current severity);
10-point scale (psychosocial impact);
10-point scale (historical course and interventions)
0–70Does not include separate components for different symptoms, includes a single item to assess psychosocial impact of psoriasisStrong correlation with PASI, adequate reliability, reflects the functional and psychological impact of psoriasis extent
Psoriasis Symptom Inventory (PSI) [94]Psoriasis sign and symptom severityTwo versions: 7-day and 24 hItching, redness, scaling, burning, stinging, cracking, flaking, and pain4-point scale for each symptom/item0–32No published data regarding its responsiveness to deteriorationAdequate reliability, able to detect improvement
Impact of Psoriasis Questionnaire (IPSO) [87,98]Psychosocial effect of psoriasisSpecified in item: daily, last monthPhysical (3), psychological (8), social components (5)5-Point adjectival scale0–64Short recall periodWell-demonstrated reliability; the IPSO-11 Rasch version [87] had sufficient evidence for a strong recommendation for use according to the COSMIN guidelines [84,85,99].
Psoriasis Index of Quality of Life (PSORIQoL) [100]Psoriasis-related needs-based quality of lifeNot reported1 Scale (25)True/false0–25The yes/no response scale might lack sensitivity, especially with small changesHigh test–retest reliability; good psychometric properties
Pictorial Representation of Illness and Self Measure (PRISM) [103]Self-illness separation score (SIS)Present time2 discs, representing the respondent and psoriasisPositioning of a red disk on a board 0–27 cmIt is difficult to say what PRISM exactly measures, requires a trained administrator, unlikely to be feasible for routine clinical useAllows a non-verbal definition of global suffering due to illness, demonstrated validity in many studies assessing other diseases

4. Future Directions

Regulatory bodies and guidelines now encourage clinicians and researchers to include validated PRO tools to assess psoriasis-related physical, psychological, and social well-being for endpoint analyses in clinical trials and routine care, in addition to objective severity measurement [104,105]. Even so, clinical decisions on systemic treatment in patients with moderate-to-severe psoriasis are still more frequently based on PASI than DLQI [106]. It has been reported that healthcare providers face obstacles in using patient-reported outcomes (PROs) in clinical practice due to concerns about time constraints during consultations and doubts about the usefulness of PROs in guiding treatment plans [39,40]. In addition to representing the patient’s perspective, participating in PRO measures should not be overly difficult, time-consuming, or stressful (so-called respondent burden) [107]; PROs should offer swift, easily understandable scoring and interpretation for clinicians, be able to capture changes resulting from treatment or interventions [38], and reflect patient satisfaction with their treatment [108]. To be truly effective in clinical settings, PRO measures should have validated descriptors for the scores, akin to what is available for certain existing measures such as DLQI, Skindex, and SPI [109]. However, descriptors for most psoriasis-specific PRO measures are not yet available. Furthermore, information about the minimal important clinical difference [46] is also beneficial for clinical interpretation. A variety of specific instruments now exist for measuring quality of life in psoriasis, but as their numbers grow, it becomes more challenging to interpret and use the data collected [110]. Therefore, it is advisable to clearly define the need for developing additional quality-of-life instruments in dermatology before creating any new questionnaires [111]. Rasch analysis [112] is considered the preferred method for developing and enhancing questionnaires, as it offers several advantages over traditional test theory approaches like factor analysis [75,101,113,114,115,116,117]. Although numerous PRO measures are used in psoriasis, only the US English version of the IPSO-11 Rasch questionnaire has recently demonstrated sufficient evidence to be recommended for use [87]. Despite various documented criticisms [62,98] and questions about its usefulness [118], the DLQI maintains its status as a valuable measurement tool in dermatology due to its intentional design for simplicity and ease of interpretation [119].
The highly effective and safe profile of biologics now makes complete “clearance” of psoriasis lesions a realistic goal, facilitating dermatologists’ intervention on psoriasis comorbidities and HRQoL. Several areas of interventions should be addressed in order to improve treatment effectiveness and alleviate psoriasis burden. Severity scores to be considered for reimbursement of treatment with biologic drugs may vary across different countries. For example, in the UK, PASI ≥ 10 and DLQI > 10; in Hungary, PASI > 15 and DLQI > 10; in Poland, PASI > 18 and DLQI > 10; or in Croatia, PASI >15 and/or BSA > 15 and/or DLQI > 15 are required to receive reimbursement [120,121]. It is of note, however, that healthcare providers in several countries do not consider QoL information at the moment for treatment reimbursement purposes, and, in practice, severe psoriasis is considered for PASI > 10 or involvement of “critical” anatomical sites. Harmonization in implementing international guidelines into local reimbursement criteria for systemic therapy that includes PRO measures is desirable. Although psoriasis is associated with such physical and psychological burden, adherence to prescribed treatments is often low, and surprisingly, adherence rates are lowest among patients with the most severe disease [122]. Thus, it is relevant to improve patient adherence to topical therapies [123]. Psychological factors have repeatedly been shown to be associated with non-adherence; particularly addressing depression as a frequent comorbidity may be a currently neglected opportunity to improve care [124]. Similarly, dermatologists should be able to capture possible discrepancies between CRO and depression or other psychological conditions that do not seem to be entirely or clearly traceable to the patient’s psoriasis, addressing psychosocial impact for appropriate counselling [125]. On the other hand, the management of physical comorbidities of psoriasis may also improve HRQoL through interventions on lifestyle. For instance, a low-caloric diet may positively impact the severity of psoriasis and QoL of patients with psoriasis [126]. Patient educational programs were shown to significantly reduce DLQI [127] and PDI [127,128].

5. Conclusions

When deciding on systemic treatment for moderate-to-severe psoriasis, it is crucial to consider a broad definition of severity that includes disease burden. Dermatologists should be able to engage in an open dialogue with their patients to understand their needs and expectations regarding their condition and treatment. Consistent validation and enhancement of psoriasis-specific PRO measures should provide healthcare professionals with more accurate tools for effectively and comprehensively assessing the impact of psoriasis in everyday practice in the future. Dermatologists, being able to address the patients’ psychological well-being, can now play an even more crucial role in taking care of psoriatic patients as a whole. Patients with psoriasis are not only meant to be treated but may also become aware of how to improve their QOL thanks to safer, effective medications.

Funding

This research received no external funding.

Data Availability Statement

Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Morrison, I.; Löken, L.S.; Olausson, H. The skin as a social organ. Exp. Brain Res. 2010, 204, 305–314. [Google Scholar] [CrossRef] [PubMed]
  2. Anzieu, D. Le Moi-Peau. Nouv. Rev. Psychanal. 1974, 9, 195–203. [Google Scholar]
  3. World Health Organization. WHOQOL: Measuring Quality of Life. Available online: https://www.who.int/tools/whoqol (accessed on 28 June 2024).
  4. Hollestein, L.M.; Nijsten, T. An insight into the global burden of skin diseases. J. Investig. Dermatol. 2014, 134, 1499–1501. [Google Scholar] [CrossRef]
  5. Till, J.E. Measuring quality of life: Apparent benefits, potential concerns. Can. J. Oncol. 1994, 4, 243–248. [Google Scholar] [PubMed]
  6. McKenna, S.P. Measuring patient-reported outcomes: Moving beyond misplaced common sense to hard science. BMC Med. 2011, 9, 86. [Google Scholar] [CrossRef] [PubMed]
  7. Rapp, S.R.; Feldman, S.R.; Exum, M.L.; Fleischer, A.B., Jr.; Reboussin, D.M. Psoriasis causes as much disability as other major medical diseases. J. Am. Acad. Dermatol. 1999, 41, 401–407. [Google Scholar] [CrossRef] [PubMed]
  8. Globe, D.; Bayliss, M.S.; Harrison, D.J. The impact of itch symptoms in psoriasis: Results from physician interviews and patient focus groups. Health Qual. Life Outcomes 2009, 7, 62. [Google Scholar] [CrossRef] [PubMed]
  9. Sampogna, F.; Gisondi, P.; Melchi, C.F.; Amerio, P.; Girolomoni, G.; Abeni, D. Prevalence of symptoms experienced by patients with different clinical types of psoriasis. Br. J. Dermatol. 2004, 151, 594–599. [Google Scholar] [CrossRef] [PubMed]
  10. Choi, J.; Koo, J.Y. Quality of life issues in psoriasis. J. Am. Acad. Dermatol. 2003, 49, S57–S61. [Google Scholar] [CrossRef]
  11. Ljosaa, T.M.; Rustoen, T.; Mörk, C.; Stubhaug, A.; Miaskowski, C.; Paul, S.M.; Wahl, A.K. Skin pain and discomfort in psoriasis: An exploratory study of symptom prevalence and characteristics. Acta Derm. Venereol. 2010, 90, 39–45. [Google Scholar] [CrossRef]
  12. Sampogna, F.; Tabolli, S.; Abeni, D. Living with psoriasis: Prevalence of shame, anger, worry, and problems in daily activities and social life. Acta Derm. Venereol. 2012, 92, 299–303. [Google Scholar] [CrossRef] [PubMed]
  13. Kirby, B.; Richards, H.L.; Mason, D.L.; Fortune, D.G.; Main, C.J.; Griffiths, C.E. Alcohol consumption and psychological distress in patients with psoriasis. Br. J. Dermatol. 2008, 158, 138–140. [Google Scholar] [CrossRef] [PubMed]
  14. Russo, P.A.; Ilchef, R.; Cooper, A.J. Psychiatric morbidity in psoriasis: A review. Australas. J. Dermatol. 2004, 45, 155–159, quiz 160–151. [Google Scholar] [CrossRef] [PubMed]
  15. Sahi, F.M.; Masood, A.; Danawar, N.A.; Mekaiel, A.; Malik, B.H. Association Between Psoriasis and Depression: A Traditional Review. Cureus 2020, 12, e9708. [Google Scholar] [CrossRef] [PubMed]
  16. Weiss, S.C.; Kimball, A.B.; Liewehr, D.J.; Blauvelt, A.; Turner, M.L.; Emanuel, E.J. Quantifying the harmful effect of psoriasis on health-related quality of life. J. Am. Acad. Dermatol. 2002, 47, 512–518. [Google Scholar] [CrossRef] [PubMed]
  17. Hassani, F.; Koraei, A.; Yaghoobi, R.; Zarea, K. An evaluating of the relationship between body image, body satisfaction, depression, marital quality, and self-esteem in patients with psoriasis. Psychol. Health Med. 2021, 26, 467–477. [Google Scholar] [CrossRef]
  18. Singh, S.; Taylor, C.; Kornmehl, H.; Armstrong, A.W. Psoriasis and suicidality: A systematic review and meta-analysis. J. Am. Acad. Dermatol. 2017, 77, 425–440.e422. [Google Scholar] [CrossRef] [PubMed]
  19. Renzi, C.; Picardi, A.; Abeni, D.; Agostini, E.; Baliva, G.; Pasquini, P.; Puddu, P.; Braga, M. Association of dissatisfaction with care and psychiatric morbidity with poor treatment compliance. Arch. Dermatol. 2002, 138, 337–342. [Google Scholar] [CrossRef]
  20. Blome, C.; Simianer, S.; Purwins, S.; Laass, A.; Rustenbach, S.J.; Schaefer, I.; Radtke, M.; Augustin, M. Time needed for treatment is the major predictor of quality of life in psoriasis. Dermatology 2010, 221, 154–159. [Google Scholar] [CrossRef]
  21. Tan, X.; Feldman, S.R.; Chang, J.; Balkrishnan, R. Topical drug delivery systems in dermatology: A review of patient adherence issues. Expert. Opin. Drug Deliv. 2012, 9, 1263–1271. [Google Scholar] [CrossRef]
  22. Rapp, S.R.; Cottrell, C.A.; Leary, M.R. Social coping strategies associated with quality of life decrements among psoriasis patients. Br. J. Dermatol. 2001, 145, 610–616. [Google Scholar] [CrossRef] [PubMed]
  23. Ginsburg, I.H.; Link, B.G. Psychosocial consequences of rejection and stigma feelings in psoriasis patients. Int. J. Dermatol. 1993, 32, 587–591. [Google Scholar] [CrossRef] [PubMed]
  24. Herron, M.D.; Hinckley, M.; Hoffman, M.S.; Papenfuss, J.; Hansen, C.B.; Callis, K.P.; Krueger, G.G. Impact of obesity and smoking on psoriasis presentation and management. Arch. Dermatol. 2005, 141, 1527–1534. [Google Scholar] [CrossRef] [PubMed]
  25. Favato, G. High incidence of smoking habit in psoriatic patients. Am. J. Med. 2008, 121, e17. [Google Scholar] [CrossRef] [PubMed]
  26. Youn, S.W.; Lee, J.H.; Yu, D.Y.; Kim, Y.; Kim, B.S.; Seo, S.J.; Choe, Y.B.; Yun, S.K.; Park, J.; Kim, N.I.; et al. The relationship between clinical characteristics including presence of exposed lesions and health-related quality of life (HRQoL) in patients with psoriasis: Analysis from the nationwide epidemiologic study for psoriasis in Korea (EPI-PSODE study). J. Eur. Acad. Dermatol. Venereol. 2018, 32, 1499–1506. [Google Scholar] [CrossRef] [PubMed]
  27. Picardi, A.; Abeni, D.; Renzi, C.; Braga, M.; Puddu, P.; Pasquini, P. Increased psychiatric morbidity in female outpatients with skin lesions on visible parts of the body. Acta Derm. Venereol. 2001, 81, 410–414. [Google Scholar] [CrossRef] [PubMed]
  28. Gelfand, J.M.; Feldman, S.R.; Stern, R.S.; Thomas, J.; Rolstad, T.; Margolis, D.J. Determinants of quality of life in patients with psoriasis: A study from the US population. J. Am. Acad. Dermatol. 2004, 51, 704–708. [Google Scholar] [CrossRef] [PubMed]
  29. Young, M. The psychological and social burdens of psoriasis. Dermatol. Nurs. 2005, 17, 15–19. [Google Scholar]
  30. Strober, B.; Ryan, C.; van de Kerkhof, P.; van der Walt, J.; Kimball, A.B.; Barker, J.; Blauvelt, A. Recategorization of psoriasis severity: Delphi consensus from the International Psoriasis Council. J. Am. Acad. Dermatol. 2020, 82, 117–122. [Google Scholar] [CrossRef]
  31. Sojević Timotijević, Z.; Janković, S.; Trajković, G.; Majcan, P.; Perišić, S.; Dostanić, N.; Janićijević Hudomal, S.; Janković, J. Identification of psoriatic patients at risk of high quality of life impairment. J. Dermatol. 2013, 40, 797–804. [Google Scholar] [CrossRef]
  32. Nabieva, K.; Vender, R. Quality of Life and Body Region Affected by Psoriasis: A Systematic Review. Actas Dermosifiliogr. 2023, 114, 33–38. [Google Scholar] [CrossRef] [PubMed]
  33. Augustin, M.; Eissing, L.; Langenbruch, A.; Enk, A.; Luger, T.; Maaßen, D.; Mrowietz, U.; Reich, K.; Reusch, M.; Strömer, K.; et al. The German National Program on Psoriasis Health Care 2005–2015: Results and experiences. Arch. Dermatol. Res. 2016, 308, 389–400. [Google Scholar] [CrossRef] [PubMed]
  34. Naldi, L.; Svensson, A.; Zenoni, D.; Diepgen, T.; Elsner, P.; Grob, J.J.; Coenraads, P.J.; Bouwes Bavinck, J.N.; Maccagni, A.; Linder, D.; et al. Comparators, study duration, outcome measures and sponsorship in therapeutic trials of psoriasis: Update of the EDEN Psoriasis Survey 2001–2006. Br. J. Dermatol. 2010, 162, 384–389. [Google Scholar] [CrossRef] [PubMed]
  35. Grob, J.J. Why are quality of life instruments not recognized as reference measures in therapeutic trials of chronic skin disorders? J. Investig. Dermatol. 2007, 127, 2299–2301. [Google Scholar] [CrossRef] [PubMed]
  36. Mukhtar, R.; Choi, J.; Koo, J.Y. Quality-of-life issues in psoriasis. Dermatol. Clin. 2004, 22, 389–395,viii. [Google Scholar] [CrossRef] [PubMed]
  37. Snyder, C.F.; Aaronson, N.K. Use of patient-reported outcomes in clinical practice. Lancet 2009, 374, 369–370. [Google Scholar] [CrossRef] [PubMed]
  38. Snyder, C.F.; Aaronson, N.K.; Choucair, A.K.; Elliott, T.E.; Greenhalgh, J.; Halyard, M.Y.; Hess, R.; Miller, D.M.; Reeve, B.B.; Santana, M. Implementing patient-reported outcomes assessment in clinical practice: A review of the options and considerations. Qual. Life Res. 2012, 21, 1305–1314. [Google Scholar] [CrossRef] [PubMed]
  39. Black, N. Patient reported outcome measures could help transform healthcare. BMJ 2013, 346, f167. [Google Scholar] [CrossRef] [PubMed]
  40. Fung, C.H.; Hays, R.D. Prospects and challenges in using patient-reported outcomes in clinical practice. Qual. Life Res. 2008, 17, 1297–1302. [Google Scholar] [CrossRef]
  41. Bronsard, V.; Paul, C.; Prey, S.; Puzenat, E.; Gourraud, P.A.; Aractingi, S.; Aubin, F.; Bagot, M.; Cribier, B.; Joly, P.; et al. What are the best outcome measures for assessing quality of life in plaque type psoriasis? A systematic review of the literature. J. Eur. Acad. Dermatol. Venereol. 2010, 24 (Suppl. S2), 17–22. [Google Scholar] [CrossRef]
  42. Dahl, M.G.; Comaish, J.S. Long-term effects of hydroxyurea in psoriases. Br. Med. J. 1972, 4, 585–587. [Google Scholar] [CrossRef]
  43. Finlay, A.Y.; Khan, G.K. Dermatology Life Quality Index (DLQI)--a simple practical measure for routine clinical use. Clin. Exp. Dermatol. 1994, 19, 210–216. [Google Scholar] [CrossRef] [PubMed]
  44. Lewis, V.; Finlay, A.Y. 10 years experience of the Dermatology Life Quality Index (DLQI). J. Investig. Dermatol. Symp. Proc. 2004, 9, 169–180. [Google Scholar] [CrossRef] [PubMed]
  45. Poór, A.K.; Brodszky, V.; Péntek, M.; Gulácsi, L.; Ruzsa, G.; Hidvégi, B.; Holló, P.; Kárpáti, S.; Sárdy, M.; Rencz, F. Is the DLQI appropriate for medical decision-making in psoriasis patients? Arch. Dermatol. Res. 2018, 310, 47–55. [Google Scholar] [CrossRef]
  46. Basra, M.K.; Salek, M.S.; Camilleri, L.; Sturkey, R.; Finlay, A.Y. Determining the minimal clinically important difference and responsiveness of the Dermatology Life Quality Index (DLQI): Further data. Dermatology 2015, 230, 27–33. [Google Scholar] [CrossRef]
  47. Nast, A.; Smith, C.; Spuls, P.I.; Avila Valle, G.; Bata-Csörgö, Z.; Boonen, H.; De Jong, E.; Garcia-Doval, I.; Gisondi, P.; Kaur-Knudsen, D.; et al. EuroGuiDerm Guideline on the systemic treatment of Psoriasis vulgaris—Part 1: Treatment and monitoring recommendations. J. Eur. Acad. Dermatol. Venereol. 2020, 34, 2461–2498. [Google Scholar] [CrossRef] [PubMed]
  48. Madrigal-Cadavid, J.; Estrada-Acevedo, J.; Maria Jaramillo, A.; Jaramillo-Santacoloma, L.; Guarin, S.; Londoño, A.; Rojas-Gualdron, D. Rasch analysis of the dermatology life quality index (DLQI) in patients with mild to moderate-severe psoriasis. Indian. J. Dermatol. Venereol. Leprol. 2024, 1–7. [Google Scholar] [CrossRef]
  49. Shikiar, R.; Willian, M.K.; Okun, M.M.; Thompson, C.S.; Revicki, D.A. The validity and responsiveness of three quality of life measures in the assessment of psoriasis patients: Results of a phase II study. Health Qual. Life Outcomes 2006, 4, 71. [Google Scholar] [CrossRef]
  50. Lewis-Beck, C.; Abouzaid, S.; Xie, L.; Baser, O.; Kim, E. Analysis of the relationship between psoriasis symptom severity and quality of life, work productivity, and activity impairment among patients with moderate-to-severe psoriasis using structural equation modeling. Patient Prefer. Adherence 2013, 7, 199–205. [Google Scholar] [CrossRef]
  51. Augustin, M.; Krüger, K.; Radtke, M.A.; Schwippl, I.; Reich, K. Disease severity, quality of life and health care in plaque-type psoriasis: A multicenter cross-sectional study in Germany. Dermatology 2008, 216, 366–372. [Google Scholar] [CrossRef]
  52. Perrott, S.B.; Murray, A.H.; Lowe, J.; Mathieson, C.M. The psychosocial impact of psoriasis: Physical severity, quality of life, and stigmatization. Physiol. Behav. 2000, 70, 567–571. [Google Scholar] [CrossRef] [PubMed]
  53. Katugampola, R.P.; Lewis, V.J.; Finlay, A.Y. The Dermatology Life Quality Index: Assessing the efficacy of biological therapies for psoriasis. Br. J. Dermatol. 2007, 156, 945–950. [Google Scholar] [CrossRef] [PubMed]
  54. Fernández-Torres, R.M.; Pita-Fernández, S.; Fonseca, E. Quality of life and related factors in a cohort of plaque-type psoriasis patients in La Coruña, Spain. Int. J. Dermatol. 2014, 53, e507–e511. [Google Scholar] [CrossRef]
  55. Petraškienė, R.; Valiukevičienė, S.; Macijauskienė, J. Associations of the quality of life and psychoemotional state with sociodemographic factors in patients with psoriasis. Medicina 2016, 52, 238–243. [Google Scholar] [CrossRef] [PubMed]
  56. Lin, T.Y.; See, L.C.; Shen, Y.M.; Liang, C.Y.; Chang, H.N.; Lin, Y.K. Quality of life in patients with psoriasis in northern Taiwan. Chang. Gung Med. J. 2011, 34, 186–196. [Google Scholar] [PubMed]
  57. Cozzani, E.; Borrini, V.; Pennella, A.; Burlando, M.; Cardo, P.; Rebora, A.; Parodi, A. The quality of life in Italian psoriatic patients treated with biological drugs. G. Ital. Dermatol. Venereol. 2010, 145, 709–712. [Google Scholar]
  58. Guenther, L.; Han, C.; Szapary, P.; Schenkel, B.; Poulin, Y.; Bourcier, M.; Ortonne, J.P.; Sofen, H.L. Impact of ustekinumab on health-related quality of life and sexual difficulties associated with psoriasis: Results from two phase III clinical trials. J. Eur. Acad. Dermatol. Venereol. 2011, 25, 851–857. [Google Scholar] [CrossRef] [PubMed]
  59. Lebwohl, M.; Papp, K.; Han, C.; Schenkel, B.; Yeilding, N.; Wang, Y.; Krueger, G.G. Ustekinumab improves health-related quality of life in patients with moderate-to-severe psoriasis: Results from the PHOENIX 1 trial. Br. J. Dermatol. 2010, 162, 137–146. [Google Scholar] [CrossRef] [PubMed]
  60. Eissing, L.; Rustenbach, S.J.; Krensel, M.; Zander, N.; Spehr, C.; Radtke, M.A.; Naldi, L.; Augustin, M. Psoriasis registries worldwide: Systematic overview on registry publications. J. Eur. Acad. Dermatol. Venereol. 2016, 30, 1100–1106. [Google Scholar] [CrossRef]
  61. Ormerod, A.D.; Augustin, M.; Baker, C.; Chosidow, O.; Cohen, A.D.; Dam, T.N.; Garcia-Doval, I.; Lecluse, L.L.; Schmitt-Egenolf, M.; Spuls, P.I.; et al. Challenges for synthesising data in a network of registries for systemic psoriasis therapies. Dermatology 2012, 224, 236–243. [Google Scholar] [CrossRef]
  62. Papp, K.A.; Strober, B.; Augustin, M.; Calabro, S.; Londhe, A.; Chevrier, M. PSOLAR: Design, utility, and preliminary results of a prospective, international, disease-based registry of patients with psoriasis who are receiving, or are candidates for, conventional systemic treatments or biologic agents. J. Drugs Dermatol. 2012, 11, 1210–1217. [Google Scholar] [PubMed]
  63. Augustin, M.; Spehr, C.; Radtke, M.A.; Boehncke, W.H.; Luger, T.; Mrowietz, U.; Reusch, M.; Strömer, K.; Wozel, G.; von Kiedrowski, R.; et al. German psoriasis registry PsoBest: Objectives, methodology and baseline data. J. Dtsch. Dermatol. Ges. 2014, 12, 48–57. [Google Scholar] [CrossRef] [PubMed]
  64. Radtke, M.A.; Reich, K.; Blome, C.; Kopp, I.; Rustenbach, S.J.; Schäfer, I.; Augustin, M. Evaluation of quality of care and guideline-compliant treatment in psoriasis. Development of a new system of quality indicators. Dermatology 2009, 219, 54–58. [Google Scholar] [CrossRef] [PubMed]
  65. Langenbruch, A.; Radtke, M.A.; Jacobi, A.; Purwins, S.; Haack, K.; Reich, K.; Stroemer, K.; Mrowietz, U.; Augustin, M. Quality of psoriasis care in Germany: Results of the national health care study “PsoHealth3”. Arch. Dermatol. Res. 2016, 308, 401–408. [Google Scholar] [CrossRef]
  66. Lebwohl, M.G.; Bachelez, H.; Barker, J.; Girolomoni, G.; Kavanaugh, A.; Langley, R.G.; Paul, C.F.; Puig, L.; Reich, K.; van de Kerkhof, P.C. Patient perspectives in the management of psoriasis: Results from the population-based Multinational Assessment of Psoriasis and Psoriatic Arthritis Survey. J. Am. Acad. Dermatol. 2014, 70, 871–881.e871-830. [Google Scholar] [CrossRef]
  67. Finlay, A.Y. Current severe psoriasis and the rule of tens. Br. J. Dermatol. 2005, 152, 861–867. [Google Scholar] [CrossRef]
  68. Mrowietz, U.; Kragballe, K.; Reich, K.; Spuls, P.; Griffiths, C.E.; Nast, A.; Franke, J.; Antoniou, C.; Arenberger, P.; Balieva, F.; et al. Definition of treatment goals for moderate to severe psoriasis: A European consensus. Arch. Dermatol. Res. 2011, 303, 1–10. [Google Scholar] [CrossRef]
  69. Augustin, M.; Langenbruch, A.; Gutknecht, M.; Reich, K.; Körber, A.; Maaßen, D.; Mrowietz, U.; Thaçi, D.; von Kiedrowski, R.; Radtke, M.A. Definition of psoriasis severity in routine clinical care: Current guidelines fail to capture the complexity of long-term psoriasis management. Br. J. Dermatol. 2018, 179, 1385–1391. [Google Scholar] [CrossRef]
  70. Puig, L.; Thom, H.; Mollon, P.; Tian, H.; Ramakrishna, G.S. Clear or almost clear skin improves the quality of life in patients with moderate-to-severe psoriasis: A systematic review and meta-analysis. J. Eur. Acad. Dermatol. Venereol. 2017, 31, 213–220. [Google Scholar] [CrossRef]
  71. Revicki, D.A.; Willian, M.K.; Menter, A.; Saurat, J.H.; Harnam, N.; Kaul, M. Relationship between clinical response to therapy and health-related quality of life outcomes in patients with moderate to severe plaque psoriasis. Dermatology 2008, 216, 260–270. [Google Scholar] [CrossRef]
  72. Ali, F.M.; Cueva, A.C.; Vyas, J.; Atwan, A.A.; Salek, M.S.; Finlay, A.Y.; Piguet, V. A systematic review of the use of quality-of-life instruments in randomized controlled trials for psoriasis. Br. J. Dermatol. 2017, 176, 577–593. [Google Scholar] [CrossRef] [PubMed]
  73. Krenzer, S.; Radtke, M.; Schmitt-Rau, K.; Augustin, M. Characterization of patient-reported outcomes in moderate to severe psoriasis. Dermatology 2011, 223, 80–86. [Google Scholar] [CrossRef] [PubMed]
  74. Twiss, J.; Meads, D.M.; Preston, E.P.; Crawford, S.R.; McKenna, S.P. Can we rely on the Dermatology Life Quality Index as a measure of the impact of psoriasis or atopic dermatitis? J. Investig. Dermatol. 2012, 132, 76–84. [Google Scholar] [CrossRef]
  75. Nijsten, T.; Meads, D.M.; McKenna, S.P. Dimensionality of the dermatology life quality index (DLQI): A commentary. Acta Derm. Venereol. 2006, 86, 284–285, author reply 285–286. [Google Scholar] [CrossRef] [PubMed]
  76. Nijsten, T.; Meads, D.M.; de Korte, J.; Sampogna, F.; Gelfand, J.M.; Ongenae, K.; Evers, A.W.; Augustin, M. Cross-cultural inequivalence of dermatology-specific health-related quality of life instruments in psoriasis patients. J. Investig. Dermatol. 2007, 127, 2315–2322. [Google Scholar] [CrossRef]
  77. Nijsten, T.E.; Sampogna, F.; Chren, M.M.; Abeni, D.D. Testing and reducing skindex-29 using Rasch analysis: Skindex-17. J. Investig. Dermatol. 2006, 126, 1244–1250. [Google Scholar] [CrossRef] [PubMed]
  78. Chernyshov, P.V.; Jiráková, A.; Hercogová, J. Comparative study of the quality of life of children with atopic dermatitis from Ukraine and the Czech Republic. J. Eur. Acad. Dermatol. Venereol. 2011, 25, 1483–1484. [Google Scholar] [CrossRef]
  79. Chren, M.M. The Skindex instruments to measure the effects of skin disease on quality of life. Dermatol. Clin. 2012, 30, 231–236,xiii. [Google Scholar] [CrossRef]
  80. Jorge, M.F.S.; Mourão, I.B.; Pollo, C.F.; Sousa, T.D.; Meneguin, S.; Miot, H.A. Validation of the Skindex-17 quality of life assessment instrument for a Brazilian population. Bras. Dermatol. 2021, 96, 51–58. [Google Scholar] [CrossRef]
  81. Chren, M.M.; Lasek, R.J.; Sahay, A.P.; Sands, L.P. Measurement properties of Skindex-16: A brief quality-of-life measure for patients with skin diseases. J. Cutan. Med. Surg. 2001, 5, 105–110. [Google Scholar] [CrossRef]
  82. Szabó, Á.; Brodszky, V.; Rencz, F. A comparative study on the measurement properties of Dermatology Life Quality Index (DLQI), DLQI-Relevant and Skindex-16. Br. J. Dermatol. 2022, 186, 485–495. [Google Scholar] [CrossRef] [PubMed]
  83. Bullinger, M.; Hasford, J. Evaluating quality-of-life measures for clinical trials in Germany. Control Clin. Trials 1991, 12, 91s–105s. [Google Scholar] [CrossRef]
  84. Prinsen, C.A.C.; Mokkink, L.B.; Bouter, L.M.; Alonso, J.; Patrick, D.L.; de Vet, H.C.W.; Terwee, C.B. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual. Life Res. 2018, 27, 1147–1157. [Google Scholar] [CrossRef]
  85. Mokkink, L.B.; de Vet, H.C.W.; Prinsen, C.A.C.; Patrick, D.L.; Alonso, J.; Bouter, L.M.; Terwee, C.B. COSMIN Risk of Bias checklist for systematic reviews of Patient-Reported Outcome Measures. Qual. Life Res. 2018, 27, 1171–1179. [Google Scholar] [CrossRef]
  86. Finlay, A.Y.; Kelly, S.E. Psoriasis--an index of disability. Clin. Exp. Dermatol. 1987, 12, 8–11. [Google Scholar] [CrossRef]
  87. Pérez-Chada, L.M.; Hopkins, Z.H.; Balak, D.M.W.; Rashid, S.; Creadore, A.; Chu, B.; Villa, C.; Woodbury, M.J.; Armstrong, A.W.; Strand, V.; et al. Patient-Reported Outcome Measures for Health-Related Quality of Life in Patients With Psoriasis: A Systematic Review. JAMA Dermatol. 2024, 160, 550–563. [Google Scholar] [CrossRef] [PubMed]
  88. Gupta, M.A.; Gupta, A.K. The Psoriasis Life Stress Inventory: A preliminary index of psoriasis-related stress. Acta Derm. Venereol. 1995, 75, 240–243. [Google Scholar] [CrossRef]
  89. Kirby, B.; Fortune, D.G.; Bhushan, M.; Chalmers, R.J.; Griffiths, C.E. The Salford Psoriasis Index: An holistic measure of psoriasis severity. Br. J. Dermatol. 2000, 142, 728–732. [Google Scholar] [CrossRef] [PubMed]
  90. Chularojanamontri, L.; Griffiths, C.E.; Chalmers, R.J. The Simplified Psoriasis Index (SPI): A practical tool for assessing psoriasis. J. Investig. Dermatol. 2013, 133, 1956–1962. [Google Scholar] [CrossRef]
  91. Koo, J.; Kozma, C.; Reinke, K. The development of a disease-specific questionnaire to assess quality of life for psoriasis patients: An analysis of the reliability, validity, and responsiveness of the psoriasis quality of life questionnaire. Dermatol. Psychosom. Dermatol. Psychosom. 2002, 3, 171–179. [Google Scholar] [CrossRef]
  92. Koo, J.; Kozma, C.; Menter, A.; Lebwohl, M. Development of a disease specific quality of life questionnaire: The 12-item Psoriasis Quality of Life Questionnaire (PQOL-12). In Proceedings of the 61st Annual Meeting of the American Academy of Dermatology, San Francisco, CA, USA, 21–26 March 2003; pp. 21–26. [Google Scholar]
  93. Heller, M.M.; Wong, J.W.; Nguyen, T.V.; Lee, E.S.; Bhutani, T.; Menter, A.; Koo, J.Y.M. Quality-of-Life Instruments: Evaluation of the Impact of Psoriasis on Patients. Dermatol. Clin. 2012, 30, 281–291. [Google Scholar] [CrossRef] [PubMed]
  94. Martin, M.L.; McCarrier, K.P.; Chiou, C.F.; Gordon, K.; Kimball, A.B.; Van Voorhees, A.S.; Gottlieb, A.B.; Huang, X.; Globe, D.; Chau, D.; et al. Early development and qualitative evidence of content validity for the Psoriasis Symptom Inventory (PSI), a patient-reported outcome measure of psoriasis symptom severity. J. Dermatol. Treat. 2013, 24, 255–260. [Google Scholar] [CrossRef]
  95. Viswanathan, H.N.; Mutebi, A.; Milmont, C.E.; Gordon, K.; Wilson, H.; Zhang, H.; Klekotka, P.A.; Revicki, D.A.; Augustin, M.; Kricorian, G. Measurement properties of the psoriasis symptom inventory electronic daily diary in patients with moderate to severe plaque psoriasis. Value Health 2017, 20, 1174–1179. [Google Scholar] [CrossRef] [PubMed]
  96. Bushnell, D.M.; Martin, M.L.; McCarrier, K.; Gordon, K.; Chiou, C.F.; Huang, X.; Ortmeier, B.; Kricorian, G. Validation of the Psoriasis Symptom Inventory (PSI), a patient-reported outcome measure to assess psoriasis symptom severity. J. Dermatol. Treat. 2013, 24, 356–360. [Google Scholar] [CrossRef]
  97. Gordon, K.; Kimball, A.; Chau, D.; Viswanathan, H.; Li, J.; Revicki, D.; Kricorian, G.; Ortmeier, B. Impact of brodalumab treatment on psoriasis symptoms and health-related quality of life: Use of a novel patient-reported outcome measure, the Psoriasis Symptom Inventory. Br. J. Dermatol. 2014, 170, 705–715. [Google Scholar] [CrossRef] [PubMed]
  98. Nijsten, T.; Unaeze, J.; Stern, R.S. Refinement and reduction of the Impact of Psoriasis Questionnaire: Classical test theory vs. Rasch analysis. Br. J. Dermatol. 2006, 154, 692–700. [Google Scholar] [CrossRef] [PubMed]
  99. Terwee, C.B.; Prinsen, C.A.C.; Chiarotto, A.; Westerman, M.J.; Patrick, D.L.; Alonso, J.; Bouter, L.M.; de Vet, H.C.W.; Mokkink, L.B. COSMIN methodology for evaluating the content validity of patient-reported outcome measures: A Delphi study. Qual. Life Res. 2018, 27, 1159–1170. [Google Scholar] [CrossRef]
  100. McKenna, S.P.; Cook, S.A.; Whalley, D.; Doward, L.C.; Richards, H.L.; Griffiths, C.E.; Van Assche, D. Development of the PSORIQoL, a psoriasis-specific measure of quality of life designed for use in clinical practice and trials. Br. J. Dermatol. 2003, 149, 323–331. [Google Scholar] [CrossRef] [PubMed]
  101. Tennant, A.; McKenna, S.P.; Hagell, P. Application of Rasch analysis in the development and application of quality of life instruments. Value Health 2004, 7 (Suppl. S1), S22–S26. [Google Scholar] [CrossRef]
  102. Lewis, V.J.; Finlay, A.Y. A critical review of Quality-of-Life Scales for Psoriasis. Dermatol. Clin. 2005, 23, 707–716. [Google Scholar] [CrossRef]
  103. Mühleisen, B.; Büchi, S.; Schmidhauser, S.; Jenewein, J.; French, L.E.; Hofbauer, G.F. Pictorial Representation of Illness and Self Measure (PRISM): A novel visual instrument to measure quality of life in dermatological inpatients. Arch. Dermatol. 2009, 145, 774–780. [Google Scholar] [CrossRef] [PubMed]
  104. EMEA/EMA. The Regulatory Guidance for the Use of Health-Related Quality of Life (HRQL) Measures in the Evaluation of Medicinal Products. Reflection Paper. CPMP/EWP/139391/04. Available online: https://www.ema.europa.eu/en/documents/scientific-guideline/reflection-paper-regulatory-guidance-use-health-related-quality-life-hrql-measures-evaluation-medicinal-products_en.pdf (accessed on 28 June 2024).
  105. World Health Organization. WHO Global Report on Psoriasis. Available online: http://apps.who.int/iris/bitstream/10665/204417/1/9789241565189_eng.pdf (accessed on 28 June 2024).
  106. Hägg, D.; Sundström, A.; Eriksson, M.; Schmitt-Egenolf, M. Decision for biological treatment in real life is more strongly associated with the Psoriasis Area and Severity Index (PASI) than with the Dermatology Life Quality Index (DLQI). J. Eur. Acad. Dermatol. Venereol. 2015, 29, 452–456. [Google Scholar] [CrossRef] [PubMed]
  107. Lavrakas, P.J. Encyclopedia of Survey Research Methods; Sage Publications: Thousand Oaks, CA, USA, 2008. [Google Scholar]
  108. Callis Duffin, K.; Merola, J.F.; Christensen, R.; Latella, J.; Garg, A.; Gottlieb, A.B.; Armstrong, A.W. Identifying a Core Domain Set to Assess Psoriasis in Clinical Trials. JAMA Dermatol. 2018, 154, 1137–1144. [Google Scholar] [CrossRef] [PubMed]
  109. Hongbo, Y.; Thomas, C.L.; Harrison, M.A.; Salek, M.S.; Finlay, A.Y. Translating the science of quality of life into practice: What do dermatology life quality index scores mean? J. Investig. Dermatol. 2005, 125, 659–664. [Google Scholar] [CrossRef] [PubMed]
  110. Pattinson, R.L.; Trialonis-Suthakharan, N.; Gupta, S.; Henry, A.L.; Lavallée, J.F.; Otten, M.; Pickles, T.; Courtier, N.; Austin, J.; Janus, C.; et al. Patient-Reported Outcome Measures in Dermatology: A Systematic Review. Acta Derm. Venereol. 2021, 101, adv00559. [Google Scholar] [CrossRef]
  111. Rzany, B. Too many instruments for measuring Quality of Life in Atopic Dermatitis. J. Eur. Acad. Dermatol. Venereol. 2017, 31, 574. [Google Scholar] [CrossRef]
  112. Rasch, G. Probabilistic Models for Some Intelligence and Attainment Tests; University of Chicago Press: Chicago, IL, USA, 1980. [Google Scholar]
  113. Wright, B.D. Comparing Rasch measurement and factor analysis. Struct. Equ. Model. A Multidiscip. J. 1996, 3, 3–24. [Google Scholar] [CrossRef]
  114. Wright, B.D.; Tennant, A. Sample Size Again. Available online: https://www.rasch.org/rmt/rmt94h.htm (accessed on 28 June 2024).
  115. Luquet, C.; Chau, N.; Guillemin, F.; Nadif, M.; Moreau, T.; Gavillot, C.; Pétry, D. A method for shortening instruments using the Rasch model. Validation on a hand functional measure. Rev. Epidemiol. Sante Publique 2001, 49, 273–286. [Google Scholar]
  116. Prieto, L.; Alonso, J.; Lamarca, R. Classical Test Theory versus Rasch analysis for quality of life questionnaire reduction. Health Qual. Life Outcomes 2003, 1, 27. [Google Scholar] [CrossRef]
  117. Waugh, R.F.; Chapman, E.S. An analysis of dimensionality using factor analysis (true-score theory) and Rasch measurement: What is the difference? Which method is better? J. Appl. Meas. 2005, 6, 80–99. [Google Scholar]
  118. Nijsten, T. Dermatology life quality index: Time to move forward. J. Investig. Dermatol. 2012, 132, 11–13. [Google Scholar] [CrossRef]
  119. Finlay, A.Y.; Basra, M.K.A.; Piguet, V.; Salek, M.S. Dermatology life quality index (DLQI): A paradigm shift to patient-centered outcomes. J. Investig. Dermatol. 2012, 132, 2464–2465. [Google Scholar] [CrossRef]
  120. Wakkee, M.; Thio, H.B.; Spuls, P.I.; de Jong, E.M.; Nijsten, T. Evaluation of the reimbursement criteria for biological therapies for psoriasis in the Netherlands. Br. J. Dermatol. 2008, 158, 1159–1161. [Google Scholar] [CrossRef] [PubMed]
  121. Rencz, F.; Kemény, L.; Gajdácsi, J.Z.; Owczarek, W.; Arenberger, P.; Tiplica, G.S.; Stanimirović, A.; Niewada, M.; Petrova, G.; Marinov, L.T.; et al. Use of biologics for psoriasis in Central and Eastern European countries. J. Eur. Acad. Dermatol. Venereol. 2015, 29, 2222–2230. [Google Scholar] [CrossRef] [PubMed]
  122. Richards, H.L.; Fortune, D.G.; Griffiths, C.E. Adherence to treatment in patients with psoriasis. J. Eur. Acad. Dermatol. Venereol. 2006, 20, 370–379. [Google Scholar] [CrossRef] [PubMed]
  123. Alinia, H.; Moradi Tuchayi, S.; Smith, J.A.; Richardson, I.M.; Bahrami, N.; Jaros, S.C.; Sandoval, L.F.; Farhangian, M.E.; Anderson, K.L.; Huang, K.E.; et al. Long-term adherence to topical psoriasis treatment can be abysmal: A 1-year randomized intervention study using objective electronic adherence monitoring. Br. J. Dermatol. 2017, 176, 759–764. [Google Scholar] [CrossRef]
  124. Schmieder, A.; Schaarschmidt, M.L.; Umar, N.; Terris, D.D.; Goebeler, M.; Goerdt, S.; Peitsch, W.K. Comorbidities significantly impact patients’ preferences for psoriasis treatments. J. Am. Acad. Dermatol. 2012, 67, 363–372. [Google Scholar] [CrossRef] [PubMed]
  125. Nelson, P.A.; Chew-Graham, C.A.; Griffiths, C.E.; Cordingley, L. Recognition of need in health care consultations: A qualitative study of people with psoriasis. Br. J. Dermatol. 2013, 168, 354–361. [Google Scholar] [CrossRef] [PubMed]
  126. Ko, S.H.; Chi, C.C.; Yeh, M.L.; Wang, S.H.; Tsai, Y.S.; Hsu, M.Y. Lifestyle changes for treating psoriasis. Cochrane Database Syst. Rev. 2019, 7, Cd011972. [Google Scholar] [CrossRef]
  127. Bostoen, J.; Bracke, S.; De Keyser, S.; Lambert, J. An educational programme for patients with psoriasis and atopic dermatitis: A prospective randomized controlled trial. Br. J. Dermatol. 2012, 167, 1025–1031. [Google Scholar] [CrossRef]
  128. Nagarajan, P.; Thappa, D.M. Effect of an Educational and Psychological Intervention on Knowledge and Quality of Life among Patients with Psoriasis. Indian. Dermatol. Online J. 2018, 9, 27–32. [Google Scholar] [CrossRef] [PubMed]
Figure 1. These two women affected by chronic plaque psoriasis (A,B, respectively) have different extents of body surface area (BSA) affected by skin lesions (A, 18 and B, 4). However, the impact of psoriasis on quality of life is comparable (DLQI 21) because of different anatomical localization involving the hands in patient (B).
Figure 1. These two women affected by chronic plaque psoriasis (A,B, respectively) have different extents of body surface area (BSA) affected by skin lesions (A, 18 and B, 4). However, the impact of psoriasis on quality of life is comparable (DLQI 21) because of different anatomical localization involving the hands in patient (B).
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Ghezzi, G.; Costanzo, A.; Borroni, R.G. Health-Related Quality of Life in Psoriasis: Literature Review. J. Clin. Med. 2024, 13, 4623. https://doi.org/10.3390/jcm13164623

AMA Style

Ghezzi G, Costanzo A, Borroni RG. Health-Related Quality of Life in Psoriasis: Literature Review. Journal of Clinical Medicine. 2024; 13(16):4623. https://doi.org/10.3390/jcm13164623

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Ghezzi, Gioele, Antonio Costanzo, and Riccardo G. Borroni. 2024. "Health-Related Quality of Life in Psoriasis: Literature Review" Journal of Clinical Medicine 13, no. 16: 4623. https://doi.org/10.3390/jcm13164623

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