Progress on Compliance and Psychological Factors in Patients with Chronic Diseases
- 1. Beijing Friendship Hospital, Capital Medical University, Beijing, China
- 2. Beijing Daxing District People’s Hospital, Daxing Teaching Hospital, Capital Medical University, Beijing, China
- 3. The First Hospital of TsingHua University, Beijing, China
Abstract
As the primary disease that threatens human health and life seriously, the situation of chronic diseases is becoming increasingly severe. In recent years, many studies of patient compliance have emerged in the field of general practice. This article reviews the progress of research on patient compliance and cognitive psychological factors. In order to improve the level of patient compliance and optimize the management effect of chronic diseases in the context of the new medical model. From the current research status, new ideas and suggestions have been proposed.
KEYWORDS
- Chronic Disease; Compliance; Cognition; Psychology; Review
CITATION
Li T, Ma X, Jiang Y (2025) Progress on Compliance and Psychological Factors in Patients with Chronic Diseases. J Family Med Community Health 12(1): 1206.
INTRODUCTION AND OVERVIEW
Chronic disease is a general term for diseases that do not constitute infection and have long-term accumulation to form disease damage. The full name of chronic disease is chronic noninfectious disease, which does not refer to a particular disease, but a general term for a class of diseases with hidden onset, long course and persistent disease [1]. It is lack of exact evidence of infectious biological etiology, complex etiology. Even some chronic diseases have not been completely identified. Although the comprehensive prevention and control of chronic diseases has been gradually intensified, the situation remains grim. Thus, all physicians are supposed to pay attention to this situation.
CURRENT STATUS OF CHRONIC DISEASES
Advances in people’s society have changed the disease spectrum and the incidence of chronic diseases. The chronic disease is non-communicable. It is not infectious but has cumulative damage to health [2]. According to statistics, about one-third of adults worldwide suffer from serious chronic diseases [3]. The mortality rate is as high as 70 percent annually worldwide [4]. Therefore, chronic diseases are a great threat to human health worldwide [5]. With the increasing incidence of chronic diseases, the age of onset also tends to be younger [6]. In addition, chronic diseases are characterized by high incidence, high disability rate, high risk of death, low degree of understanding, low effective control rate and low clinical medical effect [7]. Besides, chronic diseases lead to many serious problems, such as pain experience, treatment burden, impaired quality of life, and low social benefits [8].
Chronic diseases are majorly harmful diseases, mainly including coronary heart disease, hypertension, diabetes, dyslipidemia, chronic kidney disease, gouty arthritis, other diseases, and chronic tumors [9]. For example, many patients with chronic diseases will become depressed, anxious, pessimistic and even depressed because of the long-term suffering of chronic diseases, which poses a great threat to their mental health [10]. If people ignore chronic diseases and how harmful they can be, more serious consequences are inevitable in the near future.
In fact, a large number of chronic disease prevention practices have proved that although chronic diseases cannot be cured, they can be prevented and controllable [11]. The key measures for chronic disease prevention include the control of multiple risk factors, early detection and intervention, and standardized management. In recent years, the research of chronic diseases has attracted increasing social attention, so it is urgent to standardize the management of chronic diseases. The degree of compliance of patients has a significant impact on the management and control effect of diseases, but many patients with chronic diseases have poor compliance [12]. Definitely, effective intervention is urgently needed.
Compliance Issues
Patient compliance refers to the consistency and correct degree of behavior and doctors’ advice [13]. Studies have shown that important factors affecting patient adherence to medication include attitudes and perceptual behavior, and the psychological condition of the patient [14]. In a clinical setting, Morisky Drug Adherence Scale (MMAS-8) is widely used to evaluate compliance [15]. Several studies on patient compliance have shown that the influencing factors are complex and diverse, mainly including patient factors, physician factors, and social factors such as the medical system [16]. Patients themselves, mainly include intentional or unintentional factors. Among them, the patient’s intentional behavior leads to non-compliance, such as refusing to take medication or stopping medication. There are also poor compliance caused by unintentional factors, such as patients simply forget to take medication [17]. It is also very common for doctors to bring about the current situation. For example, doctors fail to timely emphasize the importance of disease treatment and prevention, and inadequate health education and other reasons have a negative impact on patient compliance [18]. Other aspects, such as health insurance problems, economic causes, and adverse drug reactions, are all factors affecting compliance [19]. In other aspect, the influencing factors of patient compliance mainly include two levels. First, objective factors [20]. Including the patient’s age, social and educational background and son on. Another, it is because of subjective aspects [21]. Including the patient’s own attitude, views and feelings.
Psychological Theoretical Basis for Improving Patient Compliance
According to the Reach G [22], based on the philosophical point of view, the phenomenon of non-compliance in the treatment of patients with chronic diseases is a major problem facing contemporary medicine. In fact, patient patience and foresight are prerequisites for compliance, and patients who do not adhere to long-term treatment often fail to prioritize the future and show sufficient perseverance. There are many patterns for improving of patient behaviors, such as Knowledge Attitude/Belief and Practice [23], Health Belief Model [24], The Theory of Planned Behavior [25], The Transtheoretical Model [26], The Diffusion of Innovations Theory Model [27], The Health Promotion Model [28], Green PRECEDE- PROCEED Mode [29] and so on. Different theoretical models express different specific meanings. (Table 1) shows the main points of the patterns for improving of patient behaviors. Theoretically, patient knowledge and cognition affect patient attitudes and beliefs, which in turn influences behavior. In a word, the above modes deepen the understanding that patients’ personal factors affect their compliance and clarify the theories and methods of changing compliance from the psychological and behavioral perspectives from different aspects.
Cognition and Attitudes of Patients with Chronic Diseases Influence Treatment Compliance
Howren MB, et al. [30] believed that the self- management behavior of patients with chronic diseases was the prerequisite for treatment compliance. Raebel MA [31] noted that patients’ attitudes and beliefs largely affected patient adherence. A study conducted by McGuckin C, et al. [32] in Ireland suggested that self-monitoring, subjective perception and norms of conduct were key factors affecting compliance. Besides, Hegde SK, et al. [33] listed several significant factors for compliance with chronic diseases as follows. Such as patients spontaneously changed the dose or the number of drugs. Like there were no near pharmacies in the village so that patients could not understand the words of doctors. Health care service providers could not explain the severe consequences of not taking medicine or changing the dose by themselves, which was a threat for patients with chronic disease. Ibarra Barrueta O, et al. [34] pointed that The Haynes-Sackett and Morisky-Green questionnaire and visual simulation scale were used to assess the compliance with chronic disease treatment in many Spanish hospitals. The results of 723 questionnaires showed that only 56 percent of chronic treatment patients had good compliance, and the patients believed that it was difficult to stick to taking medicine. Therefore, they even did not pay attention to it anymore.
Mental Status in Chronic Disease Patients Affects Compliance
According to Grenard JL, et al. [35], a meta-analysis had suggested that depression led to worse adherence to a range of chronic diseases in the United States, and also had bad cardiovascular outcomes. Results from Hoogendoorn Claire J, et al. [36] supported that the severity of depressive symptoms was a strong influence of poor compliance in adults with chronic diseases. And fatigue may also was associated with non-adherence to treatment. Studies both at home and abroad have shown that the compliance factors affecting the patients with chronic diseases are diverse and extensive, including the factors related to cognition and psychology [37]. For example, patients’ own awareness of the disease and medication is insufficient, as well as the negative impact of depression, anxiety, worry, despair and other bad emotions on compliance. From the patients’ own background, patients’ cognition and attitude determine their behavior and actually are the fundamental factors affecting compliance [38].
The Effect of Psychological Factors in Patients with Common Chronic Diseases
Today, low patient compliance is one of the most important therapy-limiting factors in chronic diseases. Common chronic diseases include hypertension, coronary heart disease and diabetes. Nextly, the correlation between compliance and psychological factors for patients with different chronic diseases is expounded.
Hypertension (HT)
The use of antihypertensive drug treatment has altered the natural history of hypertension. The medication compliance of hypertension patients is also a vital part of clinical work. De Geest S, et al. [39] showed that about half of the resistant hypertension patients could not do long- term regular medication. Through interventions such as health education from the patient level, patient cognition could be enhanced obviously. Furthermore, by reducing the complexity of drug prescription, or changing their own lifestyle according to their environment, it is easy to improve patient adherence and prognosis. Thalacker KM [40] provfied the community hypertension patients Health Belief Model. Specifically, Health Belief Model could promote patients’ understanding of the disease, and the individual perception degree and depth. By referring the model properly, it was beneficial for patients to perceive behaviors in reducing the harm, and it was conducive for patients to timely find and solve the problems. Recently, Health Promotion Mode mainly includes checking out omissions and filling in gaps, enhancing knowledge to enhance personal ability and literacy, and encouraging and educating patients to develop positive health promotion behaviors [41].
Diabetes Mellitus (DM)
The survey of compliance with type 2 diabetes patients by Shams N, et al. [42] concluded that 81.4% of patients were dissatisfied with blood glucose control, and poor compliance was observably associated with illiteracy and poor diabetes knowledge. A study conducted by Jiraporncharoen W, et al. [43] in May to December 2016 in Chiang mai, Thailand for oral hypoglycemic treatment of type 2 diabetes patients in-depth interview, explored the attitude of patients and its influence on medication adherence and summed up the related to patients medication adherence of four subjects: attitude to disease, attitude to treatment, attitude to family support and attitude to the health care team. Diabetic patient symptoms at diagnosis, understanding and acceptance of medication, the presence of family support, and physicians’ concerns about medication adherence were all associated with improved adherence. According to Alvarado-Martel D, et al. [44], motivation, diabetes management training, disease beliefs, and self-efficacy were major factors in adherence to self-care behavior, and that anxiety and depression were highly prevalent and associated with lower adherence. Yasmin F, et al. [45] noted that mobile phone-based health reminders for patients to comply with the effective management of type 2 diabetes drugs and healthy lifestyle recommendations, with obvious specific and positive effects.
Coronary Heart Disease (CHD)
Coronary heart disease is a serious threat to human health in China. The studies on patients compliance with CHD are abundant and ample. Gehi A’s study [46] on compliance in coronary artery disease patients confirmed that adverse emotions such as depression had a negative impact on compliance in patients with coronary heart disease. Laba TL, et al. [47] proved that improving compliance with secondary prevention in cardiovascular patients was a key link to the prevention and control of coronary heart disease. Sun C, et al. [48] advocated that the effect of comfort care based on the collaborative care model on the compliance and self-care ability of patients with coronary heart disease was negligible.
Kähkönen O, et al. [49] put forward that the predictive factors known to explain adherence to treatment were male gender, close personal relationship, longer education, lower LDL cholesterol and longer duration of coronary heart disease without previous percutaneous coronary intervention. Among which, patients’ cognition and attitude, as well as their perception of social relations and psychological status, affected medication compliance on a large scale. Zullig LL, et al. [50] identified successful strategies and promising practices for improving medication adherence among patients diagnosed withCHD. Consistent intervention strategies included the following:
- Facilitating patient-provider communication.
- Using mHealth technologies with emphasis on two- way communication.
- Providing patient education in tandem with lifestyle and behavioral counseling.
- Providing psychosocial support.
Intervention Strategies for Compliance with Psychologically Related Chronic Diseases
Based on the factors related to improving patients’ psychology, a number of intervention studies have been carried out to promote compliance. With the support of health care providers and families and the feeling of the care of doctors, patients can have greater trust in the medical team [51]. Deepen the patients’ understanding of the disease, so as to accept the chronic course of the disease, and have a positive attitude towards medication, and ultimately improve medication compliance. To improve patients’ cognition and attitude, we can learn from a variety of proven theories. And explore the measures of patients’ daily behavior change from the premise of changing patients’ knowledge and attitude [52]. For example, Ramkisson S, et al. [53] pointed out that many aspects including the psychological support that the patients get, the concern for the family and social problems, and the affirmation of the importance of the disease compliance were the important factors affecting the patient compliance. Michie’s theoretical model of behavior change can be borrowed [54]. He showed that improving the medical compliance behavior of patients under the concept of the “behavior change wheel” can optimize the control and management of chronic diseases. In other way, motivational interviews significantly improved patient compliance, especially for chronic diseases with a long course of disease. Calano BJD, et al. [55] believed that implementing a community-based health plan was beneficial to community hypertension patients to increase knowledge and adhere to treatment programs, and improve the rate of BP control and compliance.
Studies have been conducted to improve patients’ mood and psychology, such as psychological counseling. Social psychological interventions were carried out [56]. Social psychological interventions for patients with chronic diseases could effectively reduce the pain of patients receiving long-term medical treatment, improve treatment compliance, and also provide the possibility of affecting the morbidity and mortality of the disease. Then patients were encouraged to fully participate in the process of self- management of drugs [57], which had achieved remarkable results, and further pointed out that if patients adjust their psychological state, compliance would naturally improve. In short, intervention strategies for compliance with psychologically related chronic diseases mean to improve the cognitive and psychological status of patients in many ways.
Existing Problems
At present, the prevention and management of chronic diseases in China still has a long way to go. The high prevalence rate, high mortality rate, low cure rate and low compliance status quo of chronic diseases also bring great challenges to the management of disease. The poor compliance of patients is the basic problem to be solved urgently [58]. However, medical staff’s researches on patients’ compliance are limited, with insufficient understanding of psychological factors affecting compliance, and inadequate understanding of changing patients’ specific cognition and psychological factors [59]. It is not conducive to the development of further research and the improvement of chronic disease management level.
Research Enlightenment
There are many reasons affecting the medication compliance of patients with chronic diseases, among which the mental and psychological factors of patients themselves occupy an important position. The attitude and cognition of patients are the key point to influence the concrete actions of patients. Therefore, fully recognizing the important role of patient cognitive and psychological factors is the basis of conducting compliance research and proposing compliance improvement strategies. And it also provides a new direction for further research in our clinical work. While the correlation between patients’ psychological factors and compliance should be further explored. To see the essence through the phenomenon, we should be people-centered, carry out extensive trials, give full play to patients’ subjective initiative, and improve patients’ compliance from the psychological and cognitive level truly [60]. It is essential that future studies are needed to examine intervention effectiveness, scalability, and durability of observed outcome effects.
REFERENCES
- Nugent R. Preventing and managing chronic diseases. BMJ. 2019;364: l459.
- Rahkovsky I, Anekwe T, Gregory C. Chronic Disease, Prescription Medications, and Food Purchases. Am J Health Promot. 2018; 32(4): 916-924.
- Lunde P, Nilsson BB, Bergland A, Kværner KJ, Bye A. The Effectiveness of Smartphone Apps for Lifestyle Improvement in Noncommunicable Diseases: Systematic Review and Meta-Analyses. J Med Internet Res. 2018; 20(5): e162.
- World Health Organization. Global status report on non- eommunieable diseases 2014. Geneva, 2015.
- Weng G, Shen Y. A discussion on comprehensive of chronicle disease under third-grade-hospital-community health integrated management mode. Practical Journal of Cardiac Cerebral Pneumal and Vascular Disease. 2012; 20(2): 292-294.
- Steinhorn DM, Din J, Johnson A. Healing, spirituality and integrative medicine. Ann Palliat Med. 2017; 6(3): 237-247.
- Peper FE, Esteban S, Terrasa SA. Evaluation of primary adherence to medications in patients with chronic conditions: A retrospective cohort study. Aten Primaria. 2018; 50(2): 96-105.
- Bergman P, Brighenti S. Targeted Nutrition in Chronic Disease. Nutrients. 2020; 12(6): 1682.
- Miller TA. Health literacy and adherence to medical treatment in chronic and acute illness: A meta-analysis. Patient Educ Couns. 2016; 99(7): 1079-1086.
- DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000; 160(14): 2101-2107.
- Bhardwaj N, Wodajo B, Spano A, Neal S, Coustasse A. The Impact of Big Data on Chronic Disease Management. Health Care Manag (Frederick). 2018; 37(1): 90-98.
- Dalvi V, Mekoth N. Patient non-adherence: an interpretative phenomenological analysis. Int J Health Care Qual Assur. 2017; 30(3): 274-284.
- Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, et al. Medication compliance and persistence: terminology and definitions. Value Health. 2008; 11(1): 44-47.
- Heutinck L, Houwen-van Opstal SLS, Krom YD, Niks EH, Verschuuren JJGM, Jansen M, et al. Compliance to DMD Care Considerations in the Netherlands. J Neuromuscul Dis. 2021; 8(6): 927-938.
- Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986; 24(1): 67-74.
- Marzec LN, Maddox TM. Medication adherence in patients with diabetes and dyslipidemia: associated factors and strategies for improvement. Curr Cardiol Rep. 2013; 15(11): 418.
- Stonerock GL, Blumenthal JA. Role of Counseling to Promote Adherence in Healthy Lifestyle Medicine: Strategies to Improve Exercise Adherence and Enhance Physical Activity. Prog Cardiovasc Dis. 2017; 59(5): 455-462.
- Dalvi V, Mekoth N. Patient non-adherence: an interpretative phenomenological analysis. Int J Health Care Qual Assur. 2017; 30(3): 274-284.
- Phillips LA, Leventhal EA, Leventhal H. Factors associated with the accuracy of physicians’ predictions of patient adherence. Patient Educ Couns. 2011; 85(3): 461-467.
- Parra DI, Romero Guevara SL, Rojas LZ. Influential Factors in Adherence to the Therapeutic Regime in Hypertension and Diabetes. Invest Educ Enferm. 2019; 37(3): e02.
- Song EH, Milne CT, Hamm T, Mize J, Lebendiskaya N, Robinson S, et al. A New Mobile-responsive Solution to Increase Patient Adherence: Instant Personalized Product Handouts. Wounds. 2019; 31(4): E21-E24.
- Reach G. Temporality in chronic diseases and adherence to long-term therapies: From philosophy to science and back. Diabetes Metab. 2019; 45(5): 419-428.
- Tessaro I, Smith SL, Rye S. Knowledge and perceptions of diabetes in an Appalachian population. Prev Chronic Dis. 2005; 2(2): A13.
- Janz NK, Becker MH. The Health Belief Model: a decade later. Health Educ Q. 1984; 11(1): 1-47.
- Rich A, Brandes K, Mullan B, Hagger MS. Theory of planned behavior and adherence in chronic illness: a meta-analysis. J Behav Med. 2015; 38(4): 673-688.
- Marshall SJ, Biddle SJ. The transtheoretical model of behavior change: a meta-analysis of applications to physical activity and exercise. Ann Behav Med. 2001; 23(4): 229-246.
- Moseley SF. Everett Rogers’ diffusion of innovations theory: its utility and value in public health. J Health Commun. 2004; 9 (Suppl 1):149- 151.
- Kalra G, Christodoulou G, Jenkins R, Tsipas V, Christodoulou N, Lecic- Tosevski D, et al. Mental health promotion: guidance and strategies. Eur Psychiatry. 2012; 27(2): 81-86.
- Crosby R, Noar SM. What is a planning model? An introduction to PRECEDE-PROCEED. J Public Health Dent. 2011; 71 (Suppl 1): S7-S15.
- Howren MB, Gonzalez JS. Treatment adherence and illness self- management: introduction to the special issue. J Behav Med. 2016; 39(6): 931-934.
- Raebel MA, Ellis JL, Carroll NM, Bayliss EA, McGinnis B, Schroeder EB, et al. Characteristics of patients with primary non-adherence to medications for hypertension, diabetes, and lipid disorders. J Gen Intern Med. 2012; 27(1): 57-64.
- McGuckin C, Prentice GR, McLaughlin CG, Harkin E. Prediction of self-monitoring compliance: application of the theory of planned behaviour to chronic illness sufferers. Psychol Health Med. 2012; 17(4): 478-487.
- Hegde SK, Fathima FN, Agrawal T, Misquith D. Adherence to prescribed medications for chronic illnesses among older adults in a rural community, Karnataka, India. Geriatr Gerontol Int. 2016; 16(12): 1339-1345.
- Ibarra Barrueta O, Morillo Verdugo R, Rudi Sola N, Ventura Cerdá JM, Navarro Aznárez H. Adherence in patients with chronic treatment: data of “adherence day 2013. Farm Hosp. 2015; 39(2): 109-113.
- Grenard JL, Munjas BA, Adams JL, Suttorp M, Maglione M, McGlynn EA, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011; 26(10): 1175-1182.
- Hoogendoorn CJ, Shapira A, Roy JF, Walker EA, Cohen HW, Gonzalez JS. Depressive symptom dimensions and medication non-adherence in suboptimally controlled type 2 diabetes. J Diabetes Complications. 2019; 33(3): 217-222.
- Rolnick SJ, Pawloski PA, Hedblom BD, Asche SE, Bruzek RJ. Patient characteristics associated with medication adherence. Clin Med Res. 2013; 11(2): 54-65.
- Atkinson-Clement C, Lebreton M, Patsalides L, de Liege A, Klein Y, Roze E, et al. Decision-making under risk and ambiguity in adults with Tourette syndrome. Psychol Med. 2023; 53(11): 5256-5266.
- De Geest S, Ruppar T, Berben L, Schönfeld S, Hill MN. Medication non-adherence as a critical factor in the management of presumed resistant hypertension: a narrative review. EuroIntervention. 2014; 9(9): 1102-1109.
- Thalacker KM. Hypertension and the Hmong community: using the health belief model for health promotion. Health Promot Pract. 2011; 12(4): 538-543.
- Shimazaki T, Matsushita M, Iio M, Takenaka K. Use of health promotion manga to encourage physical activity and healthy eating in Japanese patients with metabolic syndrome: a case study. Arch Public Health. 2018; 76: 26.
- Shams N, Amjad S, Kumar N, Ahmed W, Saleem F. Drug Non-Adherence In Type 2 Diabetes Mellitus; Predictors And Associations. J Ayub Med Coll Abbottabad. 2016; 28(2): 302-307.
- Jiraporncharoen W, Pinyopornpanish K, Junjom K, Dejkriengkraikul N, Wisetborisut A, Papachristou I, et al. Exploring perceptions, attitudes and beliefs of Thai patients with type 2 diabetes mellitus as they relate to medication adherence at an out-patient primary care clinic in Chiang Mai, Thailand. BMC Fam Pract. 2020; 21(1): 173.
- Alvarado-Martel D, Ruiz Fernández MÁ, Cuadrado Vigaray M, Carrillo A, Boronat M, Expósito Montesdeoca A, et al. Identification of Psychological Factors Associated with Adherence to Self-Care Behaviors amongst Patients with Type 1 Diabetes. J Diabetes Res. 2019; 2019: 6271591.
- Yasmin F, Nahar N, Banu B, Ali L, Sauerborn R, Souares A. The influence of mobile phone-based health reminders on patient adherence to medications and healthy lifestyle recommendations for effective management of diabetes type 2: a randomized control trial in Dhaka, Bangladesh.BMC Health Serv Res. 2020; 20(1): 520.
- Gehi A, Haas D, Pipkin S, Whooley MA. Depression and medication adherence in outpatients with coronary heart disease: findings from the Heart and Soul Study. Arch Intern Med. 2005; 165(21): 2508- 2513.
- Laba TL, Bleasel J, Brien JA, Cass A, Howard K, Peiris D, et al. Strategies to improve adherence to medications for cardiovascular diseases in socioeconomically disadvantaged populations: a systematic review. Int J Cardiol. 2013; 167(6): 2430-2440.
- Sun C, Jia M, Wu H, Yang Q, Wang Q, Wang L, et al. The effect of comfort care based on the collaborative care model on the compliance and self-care ability of patients with coronary heart disease. Ann Palliat Med. 2021; 10(1): 501-508.
- Kähkönen O, Saaranen T, Kankkunen P, Lamidi ML, Kyngäs H, Miettinen H. Predictors of adherence to treatment by patients with coronary heart disease after percutaneous coronary intervention. J Clin Nurs. 2018; 27(5-6): 989-1003.
- Zullig LL, Ramos K, Bosworth HB. Improving Medication Adherence in Coronary Heart Disease. Curr Cardiol Rep. 2017; 19(11): 113.
- Phillips LA, Leventhal EA, Leventhal H. Factors associated with the accuracy of physicians’ predictions of patient adherence. Patient Educ Couns. 2011; 85(3): 461-467.
- Allenbaugh J, Spagnoletti CL, Rack L, Rubio D, Corbelli J. Health Literacy and Clear Bedside Communication: A Curricular Intervention for Internal Medicine Physicians and Medicine Nurses. MedEdPORTAL. 2019; 15: 10795.
- Ramkisson S, Pillay BJ, Sibanda W. Social support and coping in adults with type 2 diabetes. Afr J Prim Health Care Fam Med. 2017; 9(1): e1-e8.
- Squires JE, Graham I, Bashir K, Nadalin-Penno L, Lavis J, Francis J, et al. Understanding context: A concept analysis. J Adv Nurs. 2019; 75(12): 3448-3470.
- Calano BJD, Cacal MJB, Cal CB, Calletor KP, Guce FICC, Bongar MVV, et al. Effectiveness of a community-based health programme on the blood pressure control, adherence and knowledge of adults with hypertension: A PRECEDE-PROCEED model approach. J Clin Nurs. 2019; 28(9-10): 1879-1888.
- Fredericksen RJ, Gibbons L, Brown S, Edwards TC, Yang FM, Fitzsimmons E, et al. Medication understanding among patients living with multiple chronic conditions: Implications for patient- reported measures of adherence. Res Social Adm Pharm. 2018; 14(6): 540-544.
- Hampton SN, Nakonezny PA, Richard HM, Wells JE. Pain catastrophizing, anxiety, and depression in hip pathology. Bone Join J. 2019; 101-B(7): 800-807.
- Wu H, Fang F, Wu C, Zhan X, Wei Y. Low arousal threshold is associated with unfavorable shift of PAP compliance over time in patients with OSA. Sleep Breath. 2021; 25(2): 887-895.
- Nixon J, Brown S, Smith IL, McGinnis E, Vargas-Palacios A, Nelson EA, et al. Comparing alternating pressure mattresses and high- specification foam mattresses to prevent pressure ulcers in high-risk patients: the PRESSURE 2 RCT. Health Technol Assess. 2019; 23(52): 1-176.
- Kuhn E, Perrotin A, Tomadesso C, André C, Sherif S, Bejanin A, et al. Subjective cognitive decline: opposite links to neurodegeneration across the Alzheimer’s continuum. Brain Commun. 2021; 3(3): fcab199.