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Article

The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction

by
Ludwig Matrisch
1,2,*,
Yannick Rau
2,3,
Hendrik Karsten
4,
Hanna Graßhoff
1 and
Gabriela Riemekasten
1
1
Department of Rheumatology and Clinical Immunology, Universität zu Lübeck, 23562 Lübeck, Germany
2
Faculty of Medicine, Universität zu Lübeck, 23562 Lübeck, Germany
3
BG Klinikum Hamburg, 21033 Hamburg, Germany
4
Medical Faculty, University of Hamburg, 20251 Hamburg, Germany
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2023, 13(3), 505; https://doi.org/10.3390/jpm13030505
Submission received: 17 January 2023 / Revised: 23 February 2023 / Accepted: 9 March 2023 / Published: 10 March 2023
(This article belongs to the Section Methodology, Drug and Device Discovery)
Browse Figure
Versions Notes

Abstract

:
Background: Therapy satisfaction is widely considered an important aspect of clinical care. Still, there are currently no freely available questionnaires for its measurement. We developed the Lübeck Medication Satisfaction Questionnaire (LMSQ) for that purpose. Here, we present its content and psychometric properties. Methods: The LMSQ was validated on 86 patients in a single center study. The Kaiser-Meyer-Olkin test, confirmatory factor analysis, covariance analysis, and a test of exact fit were performed. Reliability was tested using Cronbach’s α and McDonald’s ω. The relationship to other patient-reported outcomes was tested using Pearson’s correlation. Results: Confirmatory factors analysis yielded moderate factor loadings with p < 0.001 in all subscales. Reliability was adequate (α = 0.857 and ω = 0.872). Model fitness was excellent in all tests. The LMSQ was positively correlated with medication adherence (r = 0.603, p < 0.001) and most dimensions of health literacy. Conclusions: The LMSQ possesses adequate psychometric properties for its purpose. We recommend further validation in a more diverse patient collective.

1. Introduction

We currently live in an era of increasingly personalized medical care [1]. The term refers to a philosophy of healthcare in which healthcare professionals take characteristics unique to their patients into account. This often refers to individualized therapy approaches guided by precise diagnostics on a molecular level [2]. However, personalized medical care can also take the patients’ values, goals, and their personal life situation into account [3]. This creates the basis for a trustful doctor-patient relationship. The quality of this relationship is associated with improved medication adherence and thereby improved therapy outcome [4].
Therapy satisfaction is defined as the degree to which the patients perceive that the treatment fulfills their health needs [5]. On one hand, therapy satisfaction can strengthen the trust between a patient and their healthcare providers [6], which can possibly lead to better health outcomes [7]. On the other hand, good therapy outcome can improve therapy satisfaction [8].
Therefore, improving therapy satisfaction is widely considered an important goal in healthcare [9]. Despite this importance, there is a lack of tools for the quantification of therapy satisfaction. The currently most widely used questionnaire—the Treatment Satisfaction Questionnaire for Medication (TSQM)—is a well validated tool available in several versions, but it lacks accessibility due to its licensing structure [10,11,12]. Healthcare providers or researchers in developing countries lacking sufficient funds might be unable to pay for it, hindering research as well as individualized treatment strategies.
This lack of adequate diagnostic tools for therapy satisfaction reflects the minor role it has played in the concept of personalized medicine so far. In psychology, it is well known that the experiences that shape the traits, values, and personal preferences are unique to the individual [13,14,15]. Taking those experiences into consideration therefore reflects the approach and aspiration of personalized medicine. To fulfill this task, there is a need for further research in that field as well as for a cultural shift in clinical practice.

1.1. Measurement of Therapy Satisfaction

Therapy satisfaction is a highly individual and subjective modality. Therefore, it is impossible to measure objectively [16]. Researchers as well as healthcare providers have to rely on patients’ reports. This can be performed in the form of an interview. Although interviews are an essential tool in qualitative research, they often lack the properties needed for quantitative analysis [17]. Furthermore, they rely on trained interviewers to minimize interviewer bias and thereby bind personnel capacities that often are not available in everyday clinical practice [18]. Therefore, self-reported questionnaires are often used to address these issues. Well-designed questionnaires give the opportunity to not only quickly and accurately quantify self-reported patient outcomes but to also assess multiple dimensions of said outcomes. Our goal was to develop an easily applicable questionnaire for the quantification of therapy satisfaction that could accurately differentiate between its dimensions.

1.2. The Lübeck Medication Satisfaction Questionnaire

The Lübeck Medication Satisfaction Questionnaire (LMSQ) is a self-administered questionnaire consisting of 18 statements concerning patients’ satisfaction with their medication. The patients can state their degree of agreement on a four-point Likert scale. The questionnaire was developed after an extensive literature review on therapy satisfaction and the factors influencing it. Adequate phrasing and intelligibility were ensured through a pilot survey consisting of a series of patient interviews as well as expert interviews before the study. The questionnaire consists of six subscales reflecting the dimensions of therapy satisfaction. Each subscale is measured by three equal-weighted statements in the questionnaire. The full questionnaire is presented in Table 1. The German version of the LMSQ is presented in Supplementary Table S1.

1.3. Evaluation of the LMSQ

Each item of the questionnaire can be assigned to a subscale. Every subscale consists of three items. The score of each subscale is calculated by adding up the scores of the three items and dividing them by three.
The subscales include the following:
Side effects (LMSQ_2, LMSQ_9, LMSQ_17): This subscale describes the patients’ degree of satisfaction with the side effects of their treatment. It is well known that side effects affect therapy satisfaction as well as other factors such as quality of life (QOL), medication adherence, and treatment outcome [19,20,21]. Therefore, side effects should be duly considered when deciding between therapy options. This subscale, however, does not measure the objective degree of side effects since it is a patient-reported outcome (PRO). Rather, the perceived subjective burden of side effects the patients experience is quantified.
Effectivity (LMSQ_5, LMSQ_11, LMSQ_14): This subscale describes the perceived effectivity of the therapy. Treatment effectivity plays an important role in the choice of therapy and therefore is the parameter usually measured in clinical studies. However, this section also does not measure the actual effect of the therapy but rather the effect as it is perceived by the patients.
Practicability (LMSQ_1, LMSQ_3, LMSQ_7): This subscale describes the practicability of the therapy. This is an important dimension of therapy satisfaction that deals with the non-biological properties of the therapy relevant to the patients. It incorporates how well the therapy resonates with the patients’ daily life schedule and their personal preferences. These factors have important implications for outcomes such as medication adherence and should be considered in therapy decisions. This is especially important from a perspective of personalized medicine.
Daily life (LMSQ_10, LMSQ_12, LMSQ_16): This subscale describes the patients’ degree of satisfaction with the freedom and independence gained through the therapy. Disease burden is an important factor influencing patients’ QOL [22]. Its alleviation can create QOL improvement for patients. Therefore, it is an important dimension of therapy satisfaction.
Healthcare workers (LMSQ_6, LMSQ_8, LMSQ_13): This subscale describes the patients’ degree of satisfaction with their healthcare providers. The quality of the relationship between patients and their healthcare providers has been shown to be of importance for therapy satisfaction as well as therapy outcome [23,24]. The style of communication as well as taking the patients’ values and goals into account is crucial for forming effective patient-healthcare worker relationships [25]. This should be a foremost goal in personalized therapy.
General satisfaction (LMSQ_4, LMSQ_15, LMSQ_18): This subscale describes the overall therapy satisfaction of the patient. This section is especially important from a personalized medicine perspective as it reflects the balance of factors influencing therapy satisfaction individually.
The total LMSQ score is calculated by adding up the scores of the individual items and dividing them by 18.

2. Materials and Methods

2.1. Patient Recruitment

The LMSQ was validated in its German version within a study investigating medication adherence and its influencing factors in patients with systemic sclerosis (SSc) [26]. A total of 88 patients with SSc were enrolled in a cross-sectional study at the Department of Rheumatology and Clinical Immunology at the University of Lübeck, Germany. Two patients dropped out due to being released from the hospital before they could finish the questionnaire, resulting in a dropout rate of 2.27%. Patients were recruited in the weekly SSc outpatient clinic as well as in the ward. Data were collected between July 2020 and February 2021. Patients fulfilling the EULAR/ACR 2016 classification criteria currently under treatment for their SSc were included [27]. We excluded patients unable to complete the questionnaire due to physical impairment, language barrier or illiteracy, as well as patients who legally could not consent to the study. This involved two patients, one who did not understand German and one who was physically unable to hold a pen. All other patients were asked to participate and left alone for the completion of the questionnaire to eliminate possible bias due to the Hawthorne effect. Anonymization was ensured by assigning a number to the participants.
Additionally to the LMSQ, patients were also asked to provide information about their age, gender, native language, their migration background, their religion, their highest educational degree, their current employment status, and the number of members in their household for demographic purposes. The Scleroderma Health Assessment Questionnaire (SHAQ), the Compliance Questionnaire of Rheumatology (CQR), and the Health Literacy Questionnaire were also applied to assess associations between these patient-reported outcomes [28,29,30]. Nine patients did not fully complete their whole questionnaires, and out of those, four did not fully complete the LMSQ section of the full questionnaire. The patient recruitment process is illustrated in Figure 1. Since the various sections of the questionnaires could be evaluated independently, it was decided to include all participating patients, irrespective of the completeness for all clinical data.

2.2. Translation and Cultural Adaption into English

Since the questionnaire was initially created as well as used in this study in the German language, we translated it to make it more accessible to the international research and healthcare community. The translation process was led by the guidelines proposed by Beaton et al. [31]. In the first step, two translators were asked to independently translate the original version into English. The two translations were merged into one combined version which was translated back by a third translator into German in the second step. In the third step, the back-translated version was compared to the original version.
The German version that was used in this study is accessible in the supplement of this article.

2.3. Statistical Analysis

Statistical analysis was performed using Jamovi 1.2.27.0. Sampling adequacy was assessed using the Kaiser-Meyer-Olkin (KMO) test [32]. The cut-off value for insufficient sampling was set at 0.6. Confirmatory factor analysis was performed for the subscales of the LMSQ. Beforehand, we performed Bartlett’s test of sphericity. Reliability was analyzed using Cronbach’s α and McDonald’s ω. Pearson’s correlation was performed to elucidate the relationship between the PROs. Furthermore, we conducted an analysis of the factor covariances and performed a test of exact fit.
The significance level was set at p = 0.05.

3. Results

3.1. Demographic Characteristics of the Participants

Table 2 presents the demographic characteristics of the enrolled participants. All patients were treated for SSc. Miscellaneous clinical characteristics are not presented here as they are of less importance for the study of therapy satisfaction [33]. The patients are representative of SSc patients in Germany. The collective mainly consisted of women (75.3%), and very young and very old patients are represented less than proportionally. Additionally, the number of retirees was higher than in the general population (54.1%). Apart from these factors, the collective is representative of the general German population.

3.2. Descriptives of the LMSQ and Its Subscales

Table 3 features the descriptive statistics of the LMSQ. Four out of the 86 participants did not fill out the questionnaire completely due to unknown reasons, resulting in a response rate of 95.35%. The average and the median values are similar across all the subscales as well as the total LMSQ score.

3.3. Kaiser-Meyer-Olkin Test Revealed Sufficient Sampling Adequacy

To test the statistical requirements of the factor analysis, Bartlett’s test of sphericity and the Kaiser–Meyer–Olkin (KMO) test were performed. Bartlett’s test (χ² = 599, df = 153, p < 0.001) was significant, hinting towards a statistically significant difference between the correlation matrix and the identity matrix. The KMO test’s overall measure of sampling adequacy (MSA) was 0.811. Across all items of the LMSQ, the MSA was >0.6. Thus, we considered the MSA to be meritorious and the prerequisites to perform the factor analysis to be established. The full KMO test results are presented in Table 4.

3.4. LMSQ Is Characterized by Adequate Internal Validity and Reliability

A confirmatory factor analysis was performed for the subscales of the LMSQ presenting the dimensions of therapy satisfaction. The results are presented in Table 5. The factor loadings of all LMSQ items are significant (p < 0.001). The factor loadings range from 0.318 (LMSQ_1 and LMSQ_18) to 0.581 (LMSQ_5).
A test for exact fit showed adequate model fitness (χ² = 163, df = 120, p = 0.005). Additional fit measures are presented in Table 6. These additional measures of fitness further underscore the adequacy of our model.
An analysis of the factor covariances is presented in Table 7. Factor variances are moderate across the subscales of the LMSQ. Significant results were seen along most of the subscales. However, the covariances between side effects and daily life (estimate = 0.257, p = 0.09), practicability and daily life (estimate = 0.151, p = 0.35) and practicability and healthcare workers (estimate = 0.179, p = 0.25) were not significant.
To assess the scale reliability of the LMSQ, internal consistency was tested using Cronbach’s α as well as McDonald’s ω. Both proved adequate reliability of the LMSQ items (0.857 and 0.872, respectively).

3.5. Total LMSQ Score Correlated with Therapy Adherence and Health Literacy Assessed by CQR and HLQ Score

The LMSQ score correlated with therapy adherence measured by the CQR score (Pearson’s r = 0.566, p < 0.001). Controlling for age, SHAQ score, and disease duration, the correlation was r = 0.603, p < 0.001.
Pearson’s correlation with the subscores of the HLQ controlling for age, SHAQ score, and time since the disease onset yielded the results presented in Table 8. LMSQ correlated with all subscores of the HLQ besides appraisal.

4. Discussion

4.1. LMSQ Compared to Other Tools Assessing Therapy Satisfaction

The LMSQ is a novel tool for the measurement of therapy satisfaction in patients with systemic sclerosis. It was developed by applying rigorous scientific evaluation and showed excellent reliability and validity in the data presented in this article. It was developed for application in long-term drug therapy in chronic diseases. However, in its current state of validation, it has only been applied on patients with SSc. The reliability and validity for the therapy of acute medical issues or non-drug interventions such as surgery has not been tested.
The LMSQ is designed to distinguish between six dimensions of therapy satisfaction. This provides a more detailed and differentiated insight into patient views compared to already used questionnaires such as the TSQM or the Treatment Satisfaction with Medicines Questionnaire (SATMED-Q), which feature less dimensions [10,34]. The three questionnaires all feature a scale for the effectiveness of the treatment, for side effects, and for the general satisfaction with the treatment. The LMSQ as well as the SATMED-Q additionally feature a scale that represents the satisfaction with the medical care provided by the healthcare workers. While the TSQM and the SATMED both feature one scale to assess the convenience of the treatment, this property is split up into two scales (practicability and daily life) in the LMSQ to differentiate between the practicability of the treatment and its impact on the patients’ daily life.
The LMSQ is the first questionnaire of its kind that is freely available in German. It approaches the need for methods to assess therapy satisfaction. It could thereby help to facilitate research in the field as well as daily patient care.
The LMSQ positively correlates with medication adherence. This correlation has been demonstrated in other studies using other questionnaires for the measurement of therapy satisfaction [35]. It also correlates with various dimensions of health literacy. Similar observations have also been made with other questionnaires for therapy satisfaction [36].

4.2. Limitations

The presented data were only assessed in patients with SSc. This impedes the generalizability of the results to other patient collectives with other medical issues. Furthermore, the questionnaire was only tested in a single center. A multi-center study could provide differing results. This includes potential cultural differences. These could be addressed by performing a study in regions culturally different from Germany. Additionally, this study was conducted using the German version of the LMSQ. The English version presented in Table 1 might show different psychometric properties than the German one. Moreover, the COVID-19 pandemic and its consequences that were close to its peak during the data collection could have played a role in patient recruitment. It seems plausible that patients with a high degree of anxiety could have avoided visiting the hospital due to fear of contracting the virus of and therefore might be underrepresented in our collective [37,38]. This holds especially true considering the immunosuppressive nature of the SSc therapy regimens. Fortunately, sampling issues only play a minor role in studies such as this one since the main goal is to empirically examine the content and measurement dimensions that underpin the theoretical construct underlying the questionnaire [10]. The item-item covariance structure can be assumed to be fairly consistent, even with moderate sampling bias. Studies in larger and more diverse patient collectives would increase the external validity and should therefore be conducted.
This includes two dimensions of further external validation. Firstly, studies in similar collectives to others already extensively analyzed in the field of therapy satisfaction research could help compare the LMSQ to other established questionnaires and thereby elucidate the differences in psychometric properties such as reliability and factor covariance. This would especially be useful to clarify the indications for several questionnaires in research as well as in clinical practice. Diseases with extensive research in the field of therapy satisfaction include diabetes, hypertension, and chronic obstructive pulmonary disease [39,40,41]. These diseases share high prevalence in the general population. Therefore, elucidating the role of therapy satisfaction in these disease entities is of high urgency.
Secondly, further studies for the quantification of therapy satisfaction using the LMSQ could unfold the topic in less common diseases in which therapy satisfaction so far has only played a minor role.
The factor loadings of the LMSQ were only moderately high with values as low as 0.318. This might impede the differentiation between the dimensions of therapy satisfaction represented in the various subscales of the LMSQ. However, all factors were considered statistically significant (p < 0.001). Moreover, the overall model of the confirmatory factor analysis displayed excellent fit.

4.3. The Future of Therapy Satisfaction in Medicine

Currently, the assessment of therapy satisfaction is far from becoming clinical routine. Therapy satisfaction is rarely considered in therapy decisions. Even when it is considered, it is often not assessed by appropriate methods. Research data on therapy satisfaction is scarce for the majority of diseases and drugs. However, in an effort to shift the clinical practice towards a personalized medicine approach, therapy satisfaction should be tackled with high priority. Questionnaires such as the LMSQ facilitate a quick assessment of therapy satisfaction and its dimensions and thereby enable healthcare providers to shape their therapy according to the patients’ preferences. Given its quick application and non-necessity of medical personnel to complete, it does not bind many valuable human resources. Digitalization tools could make the process more efficient and further decrease the need for human resources [42]. Combining the LMSQ with other PRO-related questionnaires could help adapt therapy approaches specifically to patients.
Science on the application of personalized medicine tended to concentrate on molecular analyses, neglecting the role of therapy satisfaction for the long-term adherence to individual therapy decisions, especially in chronic diseases. Therefore, it is an urgent need to add PROs assessing therapy satisfaction to conventional strategies in personalized medicine. Such a holistic approach might be the key to improve upon not only clinical outcome but also upon other outcome criteria that have so far been treated as secondary.

5. Conclusions

The LMSQ is an easily applicable tool for the measurement of therapy satisfaction and its dimensions. Reliability and internal validity have been proven by applying multiple adequate statistical methods. External validity, however, remains unclear; therefore, a validation study in a more diverse patient collective should be conducted. The questionnaire lays the groundwork for further research in the field of therapy satisfaction. The role of therapy satisfaction in clinical practice as well as in research is currently underappreciated. It should be at the forefront of the mind of any healthcare worker when dealing with patients.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jpm13030505/s1, Table S1: LMSQ—German Version (Lübecker Fragebogen zur Therapiezufriedenheit).

Author Contributions

Conceptualization, G.R. and L.M.; methodology, L.M.; formal analysis, L.M., Y.R., H.K. and H.G.; investigation, L.M.; resources, G.R.; data curation, L.M.; writing—original draft preparation, L.M.; writing—review and editing, Y.R., H.K., H.G. and G.R.; supervision, G.R.; project administration, L.M. and G.R.; funding acquisition, G.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the University of Lübeck ethics board on 27 May 2020 (reference number 20-163).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

We thank the DFG-founded excellence cluster ‘Precision medicine in inflammation,’ the German Network of Systemic Sclerosis (DNSS), the European Scleroderma Trial and Research (EUSTAR) network, and the University of Lübeck for support. Parts of the data presented here were already published in the Scandinavian Journal of Rheumatology [26]. Written permission to reuse the data for the purpose of this article was duly obtained.

Conflicts of Interest

The authors declare no conflict of interest.

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Jpm 13 00505 g001 550
Figure 1. Recruitment process.
Figure 1. Recruitment process.
Jpm 13 00505 g001
Table
Table 1. Lübeck Medication Satisfaction Questionnaire.
Table 1. Lübeck Medication Satisfaction Questionnaire.
Statement1234
LMSQ_1 My medication schedule suits me well.
LMSQ_2 I feel restricted in my everyday activities due to the side effects of my medication. *
LMSQ_3 My medication is very convenient to take.
LMSQ_4 Overall, I am satisfied with my treatment.
LMSQ_5 My symptoms are being alleviated by my medication.
LMSQ_6 I feel like my physician is educating me properly about my disease.
LMSQ_7 I am content with the taste and size of my medications.
LMSQ_8 The advantages and disadvantages of the treatment options were explained to me by my physician in detail.
LMSQ_9 I am unable to perform as much physical activity as before due to the side effects of my medication. *
LMSQ_10 My medication helps me perform personal hygiene tasks (brushing my teeth, taking a shower etc.).
LMSQ_11 Prior to my treatment, I felt worse than now.
LMSQ_12 The medication helps me get through my everyday life.
LMSQ_13 My physician has educated me about the best treatment option.
LMSQ_14 I am content with the time passing until my medication starts to work.
LMSQ_15 I am happy with my treatment.
LMSQ_16 Thanks to the medication, I can participate in leisure activities.
LMSQ_17 I cannot enjoy my leisure time as much anymore due to the side effects of my medication. *
LMSQ_18 I intend to continue my treatment.
The questionnaire consists of 18 statements (LMSQ_1 to LMSQ_18), each rated on a four-point Likert scale ranging from one to four. 1 = I strongly disagree, 2 = I disagree, 3 = I agree, 4 = I strongly agree. Statements LMSQ_2, LMSQ_9, and LMSQ_17 are marked with an asterisk indicating that they were phrased negatively and therefore need to be inverted before the evaluation.
Table
Table 2. Demographic characteristics of the participants.
Table 2. Demographic characteristics of the participants.
Demographics
Age ± SD56.3 ± 13.9
Female (%)64 (75.3)
Native German Speakers (%)84 (98.8)
Migration Background (%)9 (10.6)
Christian (%)54 (63.6)
Muslim (%)3 (3.5)
Nonreligious (%)28 (32.9)
Primary Education (%)2 (2.4)
Secondary Education (%)67 (78.8)
Tertiary Education (%)16 (18.8)
Employed (%)34 (40)
Unemployed (%)2 (2.4)
Retired (%)46 (54.1)
In Education (%)3 (3.5)
Household members ± SD2.3 ± 1.1
Disease Duration in months ± SD123 ± 101
SHAQ score ± SD1.6 ± 0.6
Abbreviation: SD = standard deviation.
Table
Table 3. Descriptives of the LMSQ and its subscales.
Table 3. Descriptives of the LMSQ and its subscales.
Descriptives
LMSQSide EffectsEffectivityPracticabilityDaily LifeHealthcare WorkersGeneral
Satisfaction
N82838284838483
Missing4342323
Mean3.172.883.173.272.983.413.26
Median3.1133.333.1733.333.33
Standard deviation0.370.640.580.520.570.480.47
Minimum2.331.331.671.67122
Maximum3.94444444
Table
Table 4. Kaiser-Meyer-Olkin test of the LMSQ.
Table 4. Kaiser-Meyer-Olkin test of the LMSQ.
KMO Measure of Sampling Adequacy
MSA
Overall0.811
LMSQ_10.662
LMSQ_20.672
LMSQ_30.703
LMSQ_40.842
LMSQ_50.834
LMSQ_60.772
LMSQ_70.867
LMSQ_80.827
LMSQ_90.711
LMSQ_100.849
LMSQ_110.765
LMSQ_120.836
LMSQ_130.786
LMSQ_140.849
LMSQ_150.915
LMSQ_160.829
LMSQ_170.784
LMSQ_180.819
Abbreviations: KMO = Kaiser-Meyer-Olkin; MSA = measure of sampling adequacy.
Table
Table 5. Confirmatory Factor Analysis (Factor Loadings) of the LMSQ.
Table 5. Confirmatory Factor Analysis (Factor Loadings) of the LMSQ.
Factor Loadings
FactorIndicatorEstimateSEZp
Side effectsLMSQ_90.4920.10634.63< 0.001
LMSQ_170.5130.10015.13< 0.001
LMSQ_20.5210.11394.57< 0.001
EffectivityLMSQ_140.5320.06288.48<0.001
LMSQ_110.4080.08274.93<0.001
LMSQ_50.5810.0658.92<0.001
PracticabilityLMSQ_30.5470.09935.51<0.001
LMSQ_70.3590.09033.97<0.001
LMSQ_10.3180.08693.66<0.001
Daily lifeLMSQ_120.5050.06387.92<0.001
LMSQ_160.3740.06895.43< 0.001
LMSQ_100.5840.08456.91<0.001
Healthcare workersLMSQ_130.50.0549.25<0.001
LMSQ_80.3520.05935.93< 0.001
LMSQ_60.430.05447.9<0.001
General SatisfactionLMSQ_180.3180.05565.72<0.001
LMSQ_150.490.07646.42< 0.001
LMSQ_40.3540.05716.19<0.001
Abbreviations: SE = standard error.
Table
Table 6. Additional Measures of Fitness of the LMSQ.
Table 6. Additional Measures of Fitness of the LMSQ.
Fit Measures
RMSEA 90% CI
CFITLISRMRRMSEALowerUpperAICBIC
0.9170.8950.07120.06560.03720.089626642832
Abbreviations: CFI = Comparative fit index, TLI = Tucker-Lewis-Index, SRMR = Standardized root mean square residual, RMSEA = Root mean square error of approximation, CI = Confidence interval, AIC = Akaike information criterion, BIC = Bayesian information criterion.
Table
Table 7. Factor Estimates of the LMSQ.
Table 7. Factor Estimates of the LMSQ.
Factor Covariances
EstimateSEZp
Side effectsSide effects1 â
Effectivity0.4430.1333.332<0.001
Practicability0.5260.14363.663< 0.001
Daily life0.2570.15161.6970.09
Healthcare workers0.3960.13073.0260.002
General
satisfaction		0.5660.13744.122<0.001
EffectivityEffectivity1 â
Practicability0.3490.14042.4870.013
Daily life0.8970.059815.012<0.001
Healthcare workers0.5550.09795.675<0.001
General
satisfaction		0.9460.065914.355< 0.001
PracticabilityPracticability1 â
Daily life0.1510.16120.9350.35
Healthcare workers0.1790.15571.150.25
General
satisfaction		0.5840.13944.192< 0.001
Daily lifeDaily life1 â
Healthcare workers0.6240.09546.54<0.001
General
satisfaction		0.7290.10317.07< 0.001
Healthcare workersHealthcare workers1 â
General
satisfaction		0.6230.10885.726< 0.001
General satisfactionGeneral
satisfaction		1 â
â fixed parameter, Abbreviations: SE = standard error.
Table
Table 8. Correlation between the LMSQ score and HLQ subscores (controlling for age, SHAQ score, and time since the disease onset).
Table 8. Correlation between the LMSQ score and HLQ subscores (controlling for age, SHAQ score, and time since the disease onset).
Feeling UnderstoodInformationManagingSocial SupportAppraisalEngagementNavigatingFindingUnderstanding
r0.5180.4580.3380.4220.120.4160.3920.3310.353
p<0.001<0.0010.004<0.0010.324<0.0010.0010.0050.003
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Matrisch, L.; Rau, Y.; Karsten, H.; Graßhoff, H.; Riemekasten, G. The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction. J. Pers. Med. 2023, 13, 505. https://doi.org/10.3390/jpm13030505

AMA Style

Matrisch L, Rau Y, Karsten H, Graßhoff H, Riemekasten G. The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction. Journal of Personalized Medicine. 2023; 13(3):505. https://doi.org/10.3390/jpm13030505

Chicago/Turabian Style

Matrisch, Ludwig, Yannick Rau, Hendrik Karsten, Hanna Graßhoff, and Gabriela Riemekasten. 2023. "The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction" Journal of Personalized Medicine 13, no. 3: 505. https://doi.org/10.3390/jpm13030505

APA Style

Matrisch, L., Rau, Y., Karsten, H., Graßhoff, H., & Riemekasten, G. (2023). The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction. Journal of Personalized Medicine, 13(3), 505. https://doi.org/10.3390/jpm13030505

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