Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases
1
Institute of Applied Arts, National Chiao Tung University, Hsinchu 30010, Taiwan
2
Institute of East Asian Studies, University of California, Berkeley, CA 94704, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3495; https://doi.org/10.3390/ijerph17103495
Submission received: 30 April 2020
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Revised: 14 May 2020
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Accepted: 15 May 2020
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Published: 17 May 2020
(This article belongs to the Special Issue Wellness and Health Promotion)
Abstract
:Background: Chronic diseases are a leading cause of morbidity and mortality worldwide, and preventative screenings are the most effective way to reduce the risk of developing a chronic disease. However, many individuals do not take advantage of preventative screening services for chronic diseases, especially in rural areas. In this study, we investigated (1) the factors that affect people’s willingness to participate in chronic disease screenings and (2) reasons why people have not undergone screening for a chronic disease in the past. Methods: Study participants (aged 30–65 of years age; n = 204) included individuals from four areas in northern of Taiwan that are considered to have a high chronic disease risk. To identify factors that influence willingness to attend health screenings, data were collected by questionnaire. Results: Over 50% of participants (58.33%; n = 119) indicated that they were unaware of community-based screenings for chronic diseases offered by Chang Gung Memorial Hospital, which is one of the top-rated medical centers in Taiwan. Factors that increase willingness to participate in health screenings for chronic diseases include: (1) the convenience of screening site locations; (2) affordability; and (3) other considerations related to healthcare providers and diagnostic facilities (e.g., reputation, degree of modernization, etc.). Conversely, factors that reduce willingness to participate in health screenings include: (1) a belief that one was currently healthy; (2) lack of time; (3) a belief that screening procedures were too complicated to understand; (4) physical pain or negative emotions such as fear, anxiety, embarrassment, pain, and discomfort and, (5) having had a negative experience during a previous health checkup. Conclusions: Our findings demonstrate that health attitudes, sociodemographic factors, and other motivating and preventative factors affect peoples’ willingness to participate in health screenings. The motivating factors and barriers for people to participate in health screening for chronic diseases are very heterogeneous. However, understanding the barriers and motivating factors to health screening would mean that interventions with the purpose of decreasing people’s health risks and reducing deaths and disabilities caused by a chronic illness could be implemented.
1. Introduction
By 2020, more than 1 billion people around the world have reached old age [1,2,3]. As a result of these changing demographics, since 2020, more than half of global healthcare expenditure has been related to the treatment of chronic conditions [1,4,5,6,7,8,9,10]. For example, approximately 45% of all Americans (133 million) suffer from at least one chronic disease [11,12,13,14,15], and one in three adults has two or more chronic conditions [16,17,18,19,20]. It is estimated that, by 2050, 21 million people in the United States will be living with a chronic disease [21,22]. Furthermore, chronic diseases such as cancer, heart disease, and diabetes, which are already leading causes of deaths worldwide [23,24,25], are becoming more widespread [11,12,26]. For example, someone is diagnosed with heart disease approximately every 40 s [27,28,29]. Moreover, nearly 8.5% of the global population is affected by diabetes, and one diabetes patient dies every six seconds as a result of the disease [30]. As in other countries, in Taiwan, an aging population has presented many challenges that have placed a strain on healthcare resources.
Routine health screening is considered to be one of the keys to reducing healthcare burdens associated with chronic diseases [31,32,33]. Health screenings can prevent and detect diseases in earlier, more treatable stages. After screening, appropriate preventive treatment is necessary. This would significantly reduce the risks posed by diseases, including disability and early death [34], and also reduce the cost of medical care. In Taiwan, several organizations provide similar health screening services. However, many people do not participate in health screenings; thus, many chronic diseases are not diagnosed before symptoms appear [35,36,37]. This is especially true in rural areas [38,39,40].
Understanding the factors that both motivate and prevent people from participating in health screenings is essential. Furthermore, a better understanding of the factors that motivate people to utilize screening services should improve satisfaction rates and promote compliance with follow-up treatment protocols [41]. Accordingly, the objective of this study is to identify the factors that have motivated and prevented individuals from participating in health screening services for chronic diseases over five consecutive years. We also sought to identify effective ways of increasing participation in preventative health screenings at Chang Gung Memorial Hospital. In so doing, we focused on sociodemographic factors (selected areas where people are suspected with high risk of metabolic diseases, kidney and lung diseases and cancers), factors related to health attitudes and health awareness, health service design, and patients’ general knowledge about chronic diseases.
2. Methods
2.1. Study Design, Sample, and Recruitment
We adopted a community-based cross-sectional study design. A total of 204 (randomly sampled) people agreed to participate, and the study was conducted from May to November of 2019. Participants, who were 30–65 years of age, included individuals from one urban district and three rural districts in the north of Taiwan—specifically, the Anle, Ruifang, Gongliao, and Wanli Districts of New Taipei City.
In identifying factors associated with non-participation in health screenings, we asked participants to complete a one-to-one interview and a questionnaire. Those who were diagnosed with chronic diseases and under routine clinical treatments were excluded from this study.
The sociodemographic and clinical characteristics of participants (by district) are shown in Table 1.
Participants were divided into rural and urban groups. Questionnaire answers from urban and rural participants were compared in order to identify group differences. The first part of the questionnaire sought to obtain basic sociodemographic information, including the gender, age, education level, and marital status of participants. The questionnaire also sought to obtain information pertaining to previous medical examination experiences and to determine whether participants had a healthy weight. Participant weights were classified according to the body mass index (BMI), in which weight ranges include underweight (under 18.5 kg/m2), normal weight (18.5 to 25 kg/m2), overweight (25 to 30 kg/m2), and obese (over 30 kg/m2). The second part of the questionnaire aimed to identify the factors that influence the decision to participate in a health screening. We were interested in (1) health consciousness, (2) factors that motivate and prevent utilization of health screening services, and (3) willingness to participate in future health screening services.
Specifically, the second part of our questionnaire sought to determine the attitudes and opinions of participants. For this, participants were asked to indicate their level of agreement with a given statement using a five-point Likert scale (wherein one represented “strongly disagree” and five represented “strongly agree”). The scope of these questions included three domains which influence decision making pertaining to chronic disease screening. In the last part of the questionnaire, participants were asked to answer a few questions about chronic diseases so that we could determine their level of health knowledge.
2.2. Statistical Analysis
In this study, raw data were analyzed using the SPSS statistical software package (SPSS Inc., Chicago, IL, USA). Sociodemographic data (collected using categorical variables) were summarized using total numbers and percentages, whereby differences among rural and urban populations were examined, and among subjects with higher education levels. Data were analyzed using descriptive statistical tests and Pearson correlation coefficients to identify variables which significantly influenced willingness to participate in health screenings and multivariable models were used to determine which variables were significantly influence the participants’ willingness to participate in health screening. The partial non-response rate (i.e., questionnaires which were missing data) in this study was less than 1%.
2.3. Ethics Committee Approval
This study was approved by the Research Ethics Committee for Human Subject Protection of National Chiao Tung University on 5 December 2018 (REC reference: NCTU-REC-107-072-e). Written, informed consent was obtained from each participant.
3. Results
3.1. Sociodemographic Characteristics of Participants
A total of 204 individuals aged 30 to 65 years agreed to participate in this study. Among these participants, 62.7% were female, and the majority (24.5%) were aged 41–50 years. None of the participants had ever participated in a community-based screening for any chronic disease at the Chang Gung Memorial Hospital, which is one of the top-rated medical centers in Taiwan. Furthermore, more than 50% of participants (58.33%; n = 119) said that they had never heard of these community-based screening services.
The basic demographic characteristics of study participants are summarized in Table 2. A slim majority of participants (50.5%; n = 103) were from the Ruifang, Gongliao, and Wanli Districts of New Taipei City (all of which comprise rural areas), whereas 49.5 (n = 101) lived in an urban area (Anle). As shown in Table 2, over 40% of participants (41.7%; n = 85) were highly educated (bachelor’s degree or above). The two groups (i.e., rural and urban) were similar in terms of marital status: for the urban group, 67.3% (n = 138) were married, whereas for the rural group, 66% were married.
In addition, more rural group participants had undergone a previous health examination (74.5%) than urban group participants (52.5%). Overall, nearly 50% of participants were overweight or obese (48%; n = 98).
3.2. Correlations between Health Attitudes and Health Behaviors Pertaining to Chronic Disease Prevention
3.2.1. Health Perceptions and Internal Motivations for Undergoing a Health Screening
More than half of participants (55.4%; n = 113) reported that they may have health problems, and 46.1% (n = 94) of participants believed that they were at high risk of developing a chronic disease in the future. Nearly 40% of participants reported that not feeling well was the primary reason they would consider attending a health screening (39.3%; n = 80). Over one-fourth of the 204 study participants (26.9%; n = 55) said that they health screening services made them fearful because they were emotionally unable to confront disease threats. A large number of participants (76.5%; n = 156) believed that health problems would affect their social networks, career, and family life. Nonetheless, a majority of participants (93.6%; n = 191) believed that preventive health checks could be an effective way of determining their current health status, and 90.7% of participants (n = 185) agreed that screening can help doctors diagnose and treat chronic diseases early (i.e., before symptoms appear). Many participants also agreed that regular health checks were likely to reduce future healthcare costs (80.4%; n = 164) and that early disease diagnosis would increase the chances of successful treatment. Finally, the majority of participants (71.5%; n = 146) indicated a willingness to undergo health screenings in the future, and most participants (73%; n = 149) said that, if they were diagnosed with a chronic disease, they would choose to be treated by the same organization that had provided the health screening service.
3.2.2. Factors that Motivate Individuals to Undergo Health Screening for Chronic Diseases
Most of the participants (85.3%; n = 174) reported that a convenient health screening site location would have an important influence over their decision to utilize health screening services. Cost was another key consideration, whereby 72% of participants (n = 147) said that cost would have the greatest influence over their decision to utilize health screening services. Furthermore, nearly 40% of participants believed that health screenings that individuals had to pay for themselves were likely to be more effective than free health screenings (n = 81). A large number of participants (81.4%; n = 166) also reported that issues related to human factors and diagnostic facilities (e.g., the sex, skills, attitudes, etc., of the healthcare professional who administers the screening) were important and influenced their willingness to participate in health screening services.
3.2.3. Factors that Prevent Participation in Health Screening Services for Chronic Diseases
A significant number of participants (63.3%; n = 129) reported that they were currently quite healthy, and most participants (61.3%; n = 125) thought that health screenings were a waste of time. Nearly half of participants (47.5%; n = 97) said that procedures involved in health screenings are too complicated and difficult to understand. In addition, 32.8% of participants (n = 67) reported that certain health screening procedures or health screening items led to physical or emotional pain/discomfort. Similar findings have been observed in previous research [42,43,44], which reported that mammograms and cervical smears were likely to cause fear, anxiety, embarrassment, pain, and/or discomfort in patients. In addition, a very low percentage of participants (16.1%; n = 33) reported that they would refuse to participate in health screenings due to negative attitudes and behaviors of healthcare workers, and 20.1% of participants (n = 41) said that they had had a negative experience during a previous health checkup (Table 3).
3.2.4. Willingness to Participate in Future Health Screenings
Most participants (71.6%; n = 146) reported that they were willing to participate in future health screenings for chronic diseases; only 28.0% (n = 57) of participants said that they would not consider attending future health screenings (Table 4).
The effects that individual factors were found to have on health behaviors are shown in Table 5. Health behaviors were positively related to health attitudes and health awareness, which included health beliefs and anxiety. For example, many elderly people who reported being frequently anxious about the state of their health said that they would be unwilling to participate in health screenings for chronic diseases, even if they display minor symptoms. There are other important motivating and preventative factors that influence willingness to participate in health screenings—for example, we found that, when participants believed they could receive tangible benefits from health screening services, they were more likely to be willing to take advantage of those services.
By using multivariable analysis (Table 6), a convenient location was identified to be the most important factor which influenced non-participation in community-based health screenings (OR = 0.514, 95% CI = 0.319–0.829, p = 0.006 *).
Finally, it is also worth noting that health knowledge has important causal influences over behavior. Accordingly, previous research has shown that knowledge about chronic diseases has an important influence over health behavior [12]. In our study, it was found that, when a patient lacks knowledge about chronic diseases, they are less likely to participate in health screenings. Overall, participants had an average score of 35.93 points (a perfect score was 100 points) for their knowledge of chronic diseases. We did not observe any significant differences between rural and urban groups in terms of knowledge of chronic diseases: the average score for participants in the urban group was 33.27, and the average score for participants in the rural group was 38.54. These findings indicate that a lack of knowledge pertaining to chronic diseases reduces participation in health screening services.
4. Discussion
Factors that Affect Willingness to Participate in Chronic Disease Screenings
A few previous studies (conducted in multiple countries) have reported on sociodemographic differences and factors that could potentially affect the decision to undergo preventive health screening [45]. The results of the current study revealed that, in addition to sociodemographic characteristics and other factors, health attitudes and health awareness can also affect willingness to participate in health screenings for chronic diseases. Nonetheless, previous studies have paid little attention to (1) participants’ requirements for health screening and (2) how factors that predict individual behavior affect willingness to participate in health screenings [45]. In the current research, many respondents (71.6%) indicated that they would be willing to participate in future health screenings for chronic diseases. Considering a greater number of key factors when designing health screening services would likely (1) motivate an even greater number of people to participate in community-based health screenings and (2) increase the effectiveness of these services. Furthermore, participants who were middle-aged and had achieved a higher level of education were more likely to participate in health screenings, even if they had undergone previous health checkups. In addition, most participants in this study reported that they had never heard of community-based screenings for chronic diseases offered by Chang Gung Memorial Hospital. Lack of information was one of the main reasons that they had not undergone a screening in the past. In this study, we found that sociodemographic differences led to divergent opinions about and demands for community healthcare services.
Many motivating and preventative factors were found to affect decisions about whether to undergo preventive health screening. Therefore, the design of health screening services should be improved, and barriers which limit access to these services should be reduced. The motivating factor that commonly affected participant willingness to attend health screenings was the convenience of screening site location. This finding indicated that long distance transportation negatively influenced the decision to participate in health screenings. Another important factor cited by participants was the availability of incentives, such as opportunities to attend free health screening services or receive other free health benefits. Some participants in this study also reported that bad experiences during previous health checkups (e.g., long wait times) negatively influenced their willingness to attend a health screening, which is consistent with findings reported in a previous review by Dickinson [46]. All preventative factors are problematic because they prevent patients from having chronic diseases diagnosed early.
Conversely, many participants reported that, at the time of questionnaire completion, they felt quite healthy (63.3%). Furthermore, over half of the participants indicated that they believed health screenings were a waste of time, money, and other healthcare resources. Additional preventative factors included a belief that health screening service procedures were too complicated, and this was especially true for elderly people (who are more likely to have difficulty following instructions). Some participants further reported that certain screening items were likely to cause negative feelings, such as distress. Unexpectedly, a few female participants reported that their husbands disapproved of health screenings, a preventative factor that was not identified other studies.
A few participants reported that health providers had had a bad attitude during past health checkups, and previous studies demonstrated that the attitudes of health providers have an important influence over willingness participate in health screenings [42,43,44,45]. Furthermore, in this study, many participants indicated that they believed they had a high potential risk of developing chronic disease in the future. Some participants further believed that a chronic disease would greatly affect their daily lives and indicated that they would attend a health screening when they started to feel ill. This finding suggests that study participants had misconceptions about chronic diseases and limited knowledge about health screening services, for example they may not know what body mass index (BMI) and high blood pressure is, which may influence their willingness to participate in health screening. Although most participants agreed that health screenings were useful in detecting diseases during the early stages, a few remained unwilling to participate in health screenings because they were afraid to discover that they had a serious medical condition. The factors influenced willingness to participate in health screenings are summarized in Table 7.
In Table 4, the majority of participants indicated that, if more tangible benefits were offered and/or if certain key considerations were improved, they would be willing to participate in future health screenings because they believed that regular health screenings were likely to reduce future healthcare costs. Finally, participants indicated that they were likely to seek treatment from the same organization that had provided the chronic disease screening service.
Our findings are subject to three limitations. Firstly, in this study, health-related behaviors were self-reported and therefore there may be a reporting bias. Secondly, those who consider that they might have health problems are more likely to participate in health screening. Thirdly, because areas have lower population densities than urban areas, we included subjects from three different rural areas. However, we did not consider demographic differences among rural areas. Furthermore, the participants in our study may not be representative of all rural populations, and not all rural populations in rural counties are the same.
5. Conclusions
This study investigated how sociodemographic differences (among three rural areas and one urban area) affect access to and use of health screening services for chronic disease in Taiwan.
This study also provided evidence that health behaviors are positively related to health attitudes and health awareness, which in turn motivate and/or prevent people from utilizing health screening services. When people are aware that they are at risk of a chronic disease, they are more likely to take steps to prevent that disease. In addition, most participants believed that being diagnosed with a chronic disease would be extremely difficult for their families, partly due to the significant financial impacts associated with such diseases. Participants also believed that a chronic disease diagnosis would significantly affect their emotions and behaviors, which would in turn impact their social networks and family relationships. Finally, in our study, participants had incredibly low scores for knowledge of chronic diseases, and this could be the primary reason that people do not undergo important health screenings.
There are a great variety of factors that motivate and prevent people from participating in health screenings for chronic diseases. Accordingly, when developing health screening services, factors pertaining to the specific populations that these services target (e.g., sociodemographic characteristics, individual health behaviors, health attitudes and health awareness, and other motivating and preventative factors) should be considered [47].
It is not possible to develop a ‘one size fits all’ approach to the prevention of chronic diseases. Nonetheless, increasing participation in health screening services could improve early detection rates of chronic diseases. Understanding the factors that motivate and prevent people from undergoing health screenings should help reduce risks, disabilities, and mortality rates associated with chronic diseases.
Author Contributions
Conceptualization, S.-Y.C.; methodology, S.-Y.C.; software, S.-Y.C. and Y.-T.C; validation, M.-C.C., I.-P.C., and Y.-W.S.; formal analysis, S.-Y.C.; investigation, S.-Y.C.; resources, S.-Y.C. and Y.-W.S.; data curation, S.-Y.C. and Y.-T.C.; writing—original draft preparation, S.-Y.C.; writing—review and editing, S.-Y.C., M.-C.C., I.-P.C., and Y.-W.S.; visualization, S.-Y.C.; supervision, M.-C.C., I.-P.C.; All authors have read and agreed to the published version of the manuscript.
Funding
This research was partially supported by a research fellowship from National Chiao Tung University (Taiwan).
Acknowledgments
The authors would like to thank Prof. Shau, Yio-Wha of National Taiwan University and China Medical University, who provided generous financial support for this study. We are also grateful to Dr. Hsu, Chih-Chin of Keelung Chang Gung Memorial Hospital for providing useful insights that helped us interpret our findings. Finally, we wish to thank our study participants for sharing their time and opinions. This research was supported by the “Academic Exchange and Cooperation Project” between National Chiao Tung University (Taiwan) and the University of California, Berkeley (USA).
Conflicts of Interest
The authors have no competing interests to declare.
References
- Chanjuan, Z.; Liping, W.; Qing, Z.; Hao, Y.; Gianluigi, F. Prevalence and correlates of chronic diseases in an elderly population: A community-based survey in Haikou. PLoS ONE 2018, 13, e0199006. [Google Scholar]
- Stuckler, D. Population causes and consequences of leading chronic diseases: A comparative analysis of prevailing explanations. Milbank Q. 2008, 86, 273–326. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Brennan, P.; Perola, M.; van Ommen, G.-J.; Riboli, E.; European Cohort Consortium. Chronic disease research in europe and the need for integrated population cohorts. Eur. J. Epidemiol. 2017, 32, 741–749. [Google Scholar] [CrossRef] [Green Version]
- Dexter, P.R.; Miller, D.K.; Clark, D.O.; Weiner, M.; Harris, L.E.; Livin, L.; Myers, I.; Shaw, D.; Blue, L.A.; Kunzer, J. Preparing for an aging population and improving chronic disease management. AMIA Annu. Symp. Proc. 2010, 2010, 162–166. [Google Scholar] [PubMed]
- Atella, V.; Piano Mortari, A.; Kopinska, J.; Belotti, F.; Lapi, F.; Cricelli, C.; Fontana, L. Trends in age-related disease burden and healthcare utilization. Aging Cell 2019, 18, e12861. [Google Scholar] [CrossRef] [PubMed]
- The Lancet. Chronic disease management in ageing populations. Lancet 2012, 379, 1851. [Google Scholar] [CrossRef]
- Seo, J.Y.; Choi, B.Y.; Kim, S.; Lee, H.Y.; Oh, D.H. The relationship between multiple chronic diseases and depressive symptoms among middle-aged and elderly populations: Results of a 2009 korean community health survey of 156,747 participants. BMC Public Health 2017, 17, 844. [Google Scholar] [CrossRef]
- Rizzuto, D.; Melis René, J.F.; Angleman, S.; Qiu, C.; Marengoni, A. Effect of chronic diseases and multimorbidity on survival and functioning in elderly adults. J. Am. Geriatr. Soc. 2017, 65, 1056–1060. [Google Scholar] [CrossRef] [Green Version]
- Kingston, A.; Robinson, L.; Booth, H.; Knapp, M.; Jagger, C. Projections of multi-morbidity in the older population in england to 2035: Estimates from the population ageing and care simulation (pacsim) model. Age Ageing 2018, 47, 374–380. [Google Scholar] [CrossRef] [Green Version]
- Kennedy, B.K.; Berger, S.L.; Brunet, A.; Campisi, J.; Cuervo, A.M.; Epel, E.S.; Franceschi, C.; Lithgow, G.J.; Morimoto, R.I.; Pessin, J.E.; et al. Geroscience: Linking aging to chronic disease. Cell 2014, 159, 709–713. [Google Scholar] [CrossRef] [Green Version]
- Raghupathi, W.; Raghupathi, V. An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to Public Health. Int. J. Environ. Res. Public Health 2018, 15, 431. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bodenheimer, T.; Chen, E.; Bennett, H.D. Confronting the growing burden of chronic disease: Can the u.s. health care workforce do the job? Health Aff. 2009, 28, 64–74. [Google Scholar] [CrossRef] [PubMed]
- Zamosky, L. Chronic disease: A growing challenge for PCPs. Advanstar Communications Inc. 2013. Available online: https://www.medicaleconomics.com/modern-medicine-feature-articles/chronic-disease-growing-challenge-pcps (accessed on 17 May 2020).
- Lazaro, R.T.; Reina-Guerra, S.G.; Quiben, M. Umphred’s Neurological Rehabilitation—E-Book; Elsevier: Amsterdam, The Netherlands, 2019. [Google Scholar]
- U.S. Government Printing Office. PDUFA V: Medical Innovation, Jobs, and Patients: Hearing before the Subcommittee on Health of the Committee on Energy and Commerce, House of Representatives. In Proceedings of the One Hundred Twelfth Congress, First Session, Washington, DC, USA, 7 July 2011; U.S. Government Printing Office: Washington, DC, USA, 2012. [Google Scholar]
- Hajat, C.; Emma, S. The global burden of multiple chronic conditions: A narrative review. Prev. Med. Rep. 2018, 12, 284–293. [Google Scholar] [CrossRef] [PubMed]
- Hajat, C.; Kishore, S.P. The case for a global focus on multiple chronic conditions. BMJ Global Health 2018, 3, e000874. [Google Scholar] [CrossRef]
- Yun, S.; Kayani, N.; Homan, S.; Li, J.; Pashi, A.; Mcbride, D.; Wilson, J. The burden of chronic diseases in missouri: Progress and challenges. Mo. Med. 2013, 110, 505–511. [Google Scholar]
- Richardson, W.B.B. Chronic disease prevention and management. Am. J. Health Educ. 2008, 127, 403. [Google Scholar] [CrossRef]
- DuGoff, E.H.; Buckingham, W.; Kind, A.; Chao, S.; Anderson, G. Targeting high-need beneficiaries in medicare advantage: Opportunities to address medical and social needs. Issue Brief (Commonw. Fund) 2019, 2019, 1–14. [Google Scholar]
- Dall, T.M.; Gallo, P.D.; Chakrabarti, R.; West, T.; Semilla, A.P.; Storm, M.V. An aging population and growing disease burden will require a large and specialized health care workforce by 2025. Health Aff. 2013, 32, 2013–2020. [Google Scholar] [CrossRef] [Green Version]
- Barraco, R.D.; Rodriguez, A.; Ivatury, R. Why This Book and Why Now? A Rationale and Systems Impact for Geriatric Trauma and Acute Care Surgery. In Geriatric Trauma and Acute Care Surgery; Springer: Cham, Switzerland, 2018. [Google Scholar]
- Renehan, A.G.; Howell, A. Preventing cancer, cardiovascular disease, and diabetes. Lancet 2005, 365, 1449–1451. [Google Scholar] [CrossRef]
- Koene, R.J.; Prizment, A.E.; Blaes, A.; Konety, S.H. Shared risk factors in cardiovascular disease and cancer. Circulation 2016, 133, 1104–1114. [Google Scholar] [CrossRef] [Green Version]
- Afshin, A.; Sur, P.J.; Fay, K.A.; Cornaby, L.; Ferrara, G.; Salama, J.S.; Mullany, E.C.; Abate, K.H.; Abbafati, C.; Abebe, Z.; et al. Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2019, 393, 1958–1972. [Google Scholar] [CrossRef] [Green Version]
- Remington, P.L.; Brownson, R.C. Fifty years of progress in chronic disease epidemiology and control. MMWR 2011, 60, 70–77. [Google Scholar]
- Benjamin, E.J.; Blaha, M.J.; Chiuve, S.E.; Cushman, M.; Muntner, P. Heart disease and stroke statistics—2017 update: A report from the american heart association. Circulation 2017, 135, e146–e603. [Google Scholar] [CrossRef] [PubMed]
- Mozaffarian, D.; Benjamin, E.J.; Go, A.S.; Arnett, D.K.; Turner, M.B. Heart disease and stroke statistics—2016 update. Circulation 2015, 133. [Google Scholar] [CrossRef] [PubMed]
- Go, A. Executive summary: Heart disease and stroke statistics—2013 update: A report from the American heart association. Circulation 2013, 127, 143–152. [Google Scholar] [CrossRef] [PubMed]
- Pereira, M.G. Beyond life style interventions in type 2 diabetes. Rev. Lat. -Am. Enferm. 2016, 24, e2765. [Google Scholar] [CrossRef] [Green Version]
- Grunfeld, E.; Manca, D.; Moineddin, R.; Thorpe, K.E.; Hoch, J.S.; Campbellscherer, D.; Meaney, C.; Rogers, J.; Beca, J.; Krueger, P.; et al. Improving chronic disease prevention and screening in primary care: Results of the better pragmatic cluster randomized controlled trial. Bmc Fam. Pract. 2013, 14, 175. [Google Scholar] [CrossRef] [Green Version]
- Collen, M. Detection and Prevention of Chronic Disease Utilizing Multiphasic Health Screening Techniques: Hearing before the Subcommittee on Health of the Elderly of the Special Committee on Aging. United States Senate. In Proceedings of the Eighty-Ninth Congress, Second Session, Washington, DC, USA, 20–22 September 1966; U.S. Government Printing Office: Washington, DC, USA, 1966. [Google Scholar]
- Bruhn, J.G. Delivering health care in America: A systems approach. Fam. Community Health 2000, 22, 79–80. [Google Scholar] [CrossRef]
- Durojaiye, O.C. Health Screening: Is it Always Worth Doing? Available online: http://ispub.com/IJE/7/1/3995 (accessed on 17 May 2020).
- Fragala, M.S.; Shiffman, D.; Birse, C.E. Population health screenings for the prevention of chronic disease progression. Am. J. Manag. Care 2019, 25, 548–553. [Google Scholar]
- Martinez, F.J.; O’Connor, G.T. Screening, case-finding, and outcomes for adults with unrecognized COPD. JAMA 2016, 315, 1343. [Google Scholar] [CrossRef] [Green Version]
- Vickers, M.H. Life at work with “invisible” chronic illness (ici): The “unseen”, unspoken, unrecognized dilemma of disclosure. J. Workplace Learn. 1997, 9, 240–252. [Google Scholar] [CrossRef]
- Amaize, A.; Mistry, K.B. Emergency Department Visits for Children and Young Adults with Diabetes, 2012: Statistical Brief #203. In Healthcare Cost and Utilization Project (HCUP) Statistical Briefs; Agency for Healthcare Research and Quality (US): North Bethesda, MD, USA, 2006. [Google Scholar]
- Lai, S.; Gao, J.; Zhou, Z.; Yang, X.; Xu, Y.; Zhou, Z.; Chen, G. Prevalences and trends of chronic diseases in shaanxi province, china: Evidence from representative cross-sectional surveys in 2003, 2008 and 2013. PLoS ONE 2018, 13, e0202886. [Google Scholar] [CrossRef]
- Grob, G.N. The Deadly Truth: A History of Disease in America; Harvard University Press: Cambridge, MA, USA, 2009. [Google Scholar]
- Martin, L.R.; Williams, S.L.; Haskard, K.B.; Dimatteo, M.R. The challenge of patient adherence. Clin. Risk Manag. 2005, 1, 189–199. [Google Scholar]
- Bennett, K.F.; Waller, J.; Chorley, A.J.; Ferrer, R.A.; Haddrell, J.B.; Marlow, L.A. Barriers to cervical screening and interest in self-sampling among women who actively decline screening. J. Med Screen. 2018, 25, 211–217. [Google Scholar] [CrossRef] [PubMed]
- Lee, S.-Y. Cultural Factors Associated with Breast and Cervical Cancer Screening in Korean American Women in the US: An Integrative Literature Review. Asian Nurs. Res. 2015, 9, 81–90. [Google Scholar] [CrossRef] [Green Version]
- Friedman, A.M.; Hemler, J.R.; Rossetti, E.; Clemow, L.P.; Ferrante, J.M. Obese women’s barriers to mammography and Pap smear: The possible role of personality. Obesity 2012, 20, 1611–1617. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kelly, M.P.; Barker, M. Why is changing health-related behaviour so difficult? Public Health 2016, 136, 109–116. [Google Scholar] [CrossRef] [Green Version]
- Dickinson, J.A.; Pimlott, N.; Grad, R.; Singh, H.; Szafran, O.; Wilson, B.J. Screening: When things go wrong. Can. Fam. Phys. 2018, 64, 502. [Google Scholar]
- Petter, J.; Reitsma-Van Rooijen, M.M.; Korevaar, J.C.; Nielen, M. Willingness to participate in prevention programs for cardiometabolic diseases. BMC Public Health 2015, 15, 44. [Google Scholar] [CrossRef] [Green Version]
Table 1.
Clinical characteristics of urban and rural areas considered in this study (n = 204).
| District | Sociodemographic Characteristics | Clinical Characteristics | n |
|---|---|---|---|
| Anle | Urban area (general population) | Various chronic diseases related to metabolic dysfunction | 101 |
| Ruifang | Rural area (miners) | High risk of lung, liver, and kidney diseases | 103 |
| Wanli | Rural area (fishermen, high level of alcohol use) | High risk of liver disease and metabolic syndrome | |
| Gongliao | Rural area (close to a nuclear power plant, retired fishermen) | High risk of liver disease, metabolic syndrome and various cancers |
Table 2.
Basic demographic characteristics of the 204 study participants.
| Sociodemographic Characteristic | Rural Group (n = 103) | Urban Group (n = 101) | Overall Population (n = 204) | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Sex | ||||||
| Male | 32 | 31 | 44 | 44 | 76 | 37.3 |
| Female | 71 | 69 | 57 | 56 | 128 | 62.7 |
| Age | ||||||
| ≤30 | 18 | 17.5 | 14 | 13.9 | 32 | 15.7 |
| 31–40 | 14 | 13.6 | 23 | 22.8 | 37 | 18.1 |
| 41–50 | 30 | 29.1 | 20 | 19.8 | 50 | 24.5 |
| 51–60 | 20 | 19.4 | 17 | 16.8 | 37 | 18.1 |
| ≥60 | 21 | 20.4 | 27 | 26.7 | 48 | 23.5 |
| Education | ||||||
| Illiterate | 4 | 4 | 2 | 2 | 6 | 2.9 |
| Elementary school | 9 | 9 | 12 | 11.9 | 21 | 10.3 |
| Junior high school | 12 | 11.8 | 13 | 12.9 | 25 | 12.3 |
| Senior high school | 37 | 36 | 29 | 28.7 | 66 | 32.4 |
| University | 34 | 33.3 | 40 | 39.6 | 74 | 36.3 |
| Postgraduate | 6 | 5.9 | 5 | 5 | 11 | 5.4 |
| Missing data n = 1 | - | - | - | - | 1 | 0.4 |
| Marital Status | ||||||
| Married | 68 | 66 | 68 | 67.3 | 136 | 66.7 |
| Unmarried | 35 | 34 | 33 | 33.7 | 68 | 33.3 |
| Previous medical examination | ||||||
| Yes | 76 | 74.5 | 53 | 52.5 | 129 | 63.2 |
| No | 26 | 25.5 | 48 | 47.5 | 74 | 36.3 |
| Missing data n = 1 | - | - | - | - | 1 | 0.4 |
| Weight scale | ||||||
| Underweight | 4 | 4 | 5 | 5 | 9 | 4.4 |
| Standard | 53 | 51.4 | 44 | 43.6 | 97 | 47.6 |
| Overweight | 22 | 21.3 | 30 | 29.7 | 52 | 25.5 |
| Obese | 24 | 23.3 | 22 | 21.8 | 46 | 22.5 |
| Aware of community-based screening services for chronic diseases offered by Chang Gung Memorial Hospital (CGMH) | ||||||
| Yes | 34 | 33 | 50 | 49.5 | 84 | 41.17 |
| No | 67 | 65 | 52 | 51.4 | 119 | 58.33 |
| Missing data n = 1 | - | - | - | - | 1 | 0.5 |
Table 3.
Factors that influence the decision of participants to participate in a health screening.
| Statement | Strongly Disagree (%) | Disagree (%) | Neutral (%) | Agree (%) | Strongly Agree (%) |
|---|---|---|---|---|---|
| Attitudes and beliefs pertaining to health status and health behaviors | |||||
| I might have health problems. | 9 (4.4) | 56 (27.5) | 26 (12.7) | 102 (50.0) | 11(5.4) |
| I think I have a high potential risk of developing chronic disease(s). | 3 (1.5) | 51 (25.0) | 56 (27.5) | 73 (35.8) | 21 (10.3) |
| I will attend a health screening if and when I feel physical discomfort. | 8 (3.9) | 93 (45.6) | 23 (11.3) | 75 (36.8) | 5 (2.5) |
| I am afraid that I will learn I have a health problem after I participate in a health screening. | 17 (8.3) | 106 (52.0) | 26 (12.7) | 46 (22.5) | 9 (4.4) |
| Health problems will have consequences for my social networks, job, and family life. | 4 (2.0) | 29 (14.2) | 15 (7.4) | 112 (54.9) | 44 (21.6) |
| Preventive Health screenings could determine my current health status. | - | 3 (1.5) | 10 (4.9) | 155 (76.0) | 36 (17.6) |
| Preventive Health screenings could detect early warning signs of more serious diseases. | - | 7 (3.4) | 12 (5.9) | 152 (74.5) | 33 (16.2) |
| Regular check-Ups may reduce future healthcare costs. | - | 12 (5.9) | 28 (13.7) | 132 (64.7) | 32 (15.7) |
| I agree that early detection and early treatment are beneficial. | 1 (0.5) | 2 (1.0) | 14 (6.9) | 81 (39.7) | 106 (52.0) |
| If I were diagnosed with a chronic disease, I would seek treatment from the same organization that provided the screening service. | - | 26 (12.7) | 29 (14.2) | 103 (50.5) | 46 (22.5) |
| Factors that motivate patients to participation in health screening services for chronic diseases | |||||
| A convenient location is important for me. | - | 13 (6.4) | 17 (8.3) | 130 (63.7) | 44 (21.6) |
| Paid health screenings are more effective than free health screenings. | 7 (3.4) | 46 (22.5) | 70 (34.3) | 61 (29.9) | 20 (9.8) |
| I believe that health Service providers and facilities are well-equipped. | - | 6 (2.9) | 32 (15.7) | 157 (77.0) | 9 (4.4) |
| I had a negative experience during a previous health checkup. | 8 (3.9) | 92 (45.1) | 63 (30.9) | 33 (16.2) | 8 (3.9) |
| Factors which prevent participation in health screening services for chronic diseases | |||||
| Statement | Very poor (%) | Poor (%) | Fair (%) | Good (%) | Excellent (%) |
| Self-assessed health status | 1 (0.5) | 40 (19.6) | 34 (16.7) | 126 (61.8) | 3 (1.5) |
| Statement | Strongly disagree (%) | Disagree (%) | Neutral (%) | Agree (%) | Strongly agree (%) |
| I think health screenings are a waste of time. | 1 (0.5) | 40 (19.6) | 38 (18.6) | 115 (56.4) | 10 (4.9) |
| I think that health screening procedures are complicated. | 6 (2.9) | 67 (32.8) | 34 (16.7) | 89 (43.6) | 8 (3.9) |
| Some health screening items lead to fear, anxiety, embarrassment, pain and/or discomfort. | 9 (4.4) | 80 (39.2) | 48 (23.5) | 58 (28.4) | 9 (4.4) |
| Some healthcare providers have negative attitudes. | 13 (6.4) | 109 (53.4) | 49 (24.0) | 27 (13.2) | 6 (2.9) |
Table 4.
Willingness to undergo future health screenings for chronic diseases.
| Statement | Rural Group (n = 103) | Urban Group (n = 101) | Overall Study Population | |||
|---|---|---|---|---|---|---|
| I am willing to participate in future health screenings | ||||||
| Yes | 76 | 73.8% | 70 | 69.3% | 146 | 71.6% |
| No | 32 | 31.1% | 25 | 24.8% | 57 | 28% |
| Missing data n = 1 | - | - | - | - | 1 | 0.5% |
Table 5.
Correlations between health attitudes, health awareness, and health behaviors pertaining to chronic disease prevention (n = 204).
Table 5.
Correlations between health attitudes, health awareness, and health behaviors pertaining to chronic disease prevention (n = 204).
| Statement | Factors Influencing Non-Participation in Community-Based Health Screenings | |
|---|---|---|
| Sig. (2-tailed) | Pearson Correlation Coefficient | |
| Health attitudes and health awareness | ||
| I might have health problems. | 0.000 | 0.578 ** |
| I think I have a high potential risk of developing health problems. | 0.000 | 0.743 ** |
| I do not attend health screenings because they make me feel uncomfortable. | 0.000 | 0.683 ** |
| I afraid I will learn that I have health problems after I participate in a health screening. | 0.000 | 0.587 ** |
| Health problems will have consequences for my social networks, career, and family life. | 0.000 | 0.799 ** |
| Preventive health screenings could determine my current health status. | 0.000 | 0.869 ** |
| Preventive health screenings could detect early warning signs of serious diseases. | 0.000 | 0.777 ** |
| Regular check-ups may reduce future healthcare costs. | 0.000 | 0.727 ** |
| I believe in early detection and early treatment. | 0.000 | 0.737 ** |
| If I were diagnosed with a chronic illness, I would seek treatment at the same organization that provided health screening services. | 0.000 | 0.752 ** |
| Factors that motivate individuals to participation in health screenings for chronic diseases | ||
| A convenient location is important to me. | 0.000 | 0.416 ** |
| Cost greatly affects my willingness to participate in a health screening. | 0.000 | 0.434 ** |
| Paid health screenings are more effective than free health screenings. | 0.000 | 0.593 ** |
| I believe that health service providers and facilities are well equipped. | 0.000 | 0.428 ** |
| I had a negative experience during a previous health checkup. | 0.001 | 0.234 ** |
| Factors that prevent participation in health screenings for chronic diseases | ||
| Self-assessed health status | 0.000 | 0.897 ** |
| I think health screenings are waste of time. | 0.000 | 0.793 ** |
| I think that health screening procedures are complicated. | 0.000 | 0.755 ** |
| Some health screening items leads to fear, anxiety, embarrassment, pain, and/or discomfort. | 0.000 | 0.638 ** |
| Some healthcare providers have negative attitudes. | 0.000 | 0.549 ** |
** p < 0.01.
Table 6.
Factors influencing non-participation in community-based health screenings (n = 204).
| Statement | Factors Influencing Non-Participation in Community-Based Health Screenings | ||
|---|---|---|---|
| OR | 95% (CI) | p-Value | |
| Health attitudes and health awareness | |||
| I might have health problems. | 0.790 | 0.505–1.235 | 0.301 |
| I think I have a high potential risk of developing health problems. | 0.992 | 0.638–1.542 | 0.971 |
| I attend health screenings because I am not feeling well. | 1.136 | 0.765–1.688 | 0.528 |
| I afraid I will learn that I have health problems after I participate in a health screening. | 1.098 | 0.746–1.615 | 0.635 |
| Health problems will have consequences for my social networks, career, and family life. | 0.917 | 0.822–1.350 | 0.662 |
| Preventive health screenings could determine my current health status. | 0.987 | 0.359–2.717 | 0.980 |
| Preventive health screenings could detect early warning signs of serious diseases. | 0.508 | 0.232–1.116 | 0.092 |
| Regular check-ups may reduce future healthcare costs. | 1.530 | 0.822–2.848 | 0.179 |
| I believe in early detection and early treatment. | 0.905 | 0.471–1.738 | 0.764 |
| If I were diagnosed with a chronic illness, I would seek treatment at the same organization that provided health screening services | 1.083 | 0.722–1.624 | 0.700 |
| Factors that motivate individuals to participation in health screenings for chronic diseases | |||
| A convenient location is important to me. | 0.514 | 0.319–0.829 | 0.006 |
| Cost greatly affects my willingness to participate in a health screening. | 0.965 | 0.650–1.435 | 0.862 |
| Paid health screenings are more effective than free health screenings. | 1.370 | 0.947–1.982 | 0.094 |
| I believe that health service providers and facilities are well equipped. | 0.834 | 0.427–1.629 | 0.595 |
| I had a negative experience during a previous health checkup. | 0.801 | 0.532–1.206 | 0.288 |
| Factors that prevent participation in health screenings for chronic diseases | |||
| Self-assessed health status | 1.116 | 0.659–1.891 | 0.683 |
| I think health screenings are waste of time. | 1.297 | 0.814–2.066 | 0.273 |
| I think that health screening procedures are complicated. | 1.115 | 0.700–1.788 | 0.647 |
| Some health screening items leads to fear, anxiety, embarrassment, pain, and/or discomfort. | 0.861 | 0.593–1.251 | 0.433 |
| Some healthcare providers have negative attitudes. | 0.779 | 0.499–1.288 | 0.274 |
Statistically significant is based on p-value < 0.05.
Table 7.
Factors that influence willingness to participate in health screenings.
| Motivating Factors | Negative Factors |
|---|---|
| 1. Conveniently located screening sites | 1. Personal health belief (feel quite healthy) |
| 2. Incentives (such as free health services or benefits) | 2. Procedures were too complicated to understand (especially for elderly people) |
| 3. Reasonable price | 3. Waited for a long time or lack of time |
| 4. Healthcare providers factors’ attitude and professional diagnostic services and facilities. | 4. Physical pain or negative emotions (such as fear, anxiety, embarrassment and pain) |
| 5. Having had a negative experience during a previous health checkup |
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MDPI and ACS Style
Chien, S.-Y.; Chuang, M.-C.; Chen, I.-P. Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases. Int. J. Environ. Res. Public Health 2020, 17, 3495. https://doi.org/10.3390/ijerph17103495
AMA Style
Chien S-Y, Chuang M-C, Chen I-P. Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases. International Journal of Environmental Research and Public Health. 2020; 17(10):3495. https://doi.org/10.3390/ijerph17103495
Chicago/Turabian StyleChien, Shih-Ying, Ming-Chuen Chuang, and I-Ping Chen. 2020. "Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases" International Journal of Environmental Research and Public Health 17, no. 10: 3495. https://doi.org/10.3390/ijerph17103495
APA StyleChien, S.-Y., Chuang, M.-C., & Chen, I.-P. (2020). Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases. International Journal of Environmental Research and Public Health, 17(10), 3495. https://doi.org/10.3390/ijerph17103495
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