Translate this page into:
Deprescribing & its associated factors among middle & old-aged ambulatory patients with chronic disease (s): A hospital-based cross-sectional study
For correspondence: Dr. Tuan Mazlelaa Tuan Mahmood, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia e-mail: tuanmazlelaa@ukm.edu.my
-
Received: ,
Accepted: ,
Abstract
Background & objectives
Malaysia is increasingly impacted by non-communicable diseases (NCDs), which overburden the healthcare system. The increasing number of NCDs has resulted in multimorbidity, which has led to polypharmacy. Inappropriate polypharmacy commonly has negative impacts. Therefore, this study investigated the prevalence of willingness-to-deprescribing and its associated factors among middle and old-age ambulatory patients with chronic disease(s).
Methods
A cross-sectional study was conducted from March-June 2024, using interviewer-assisted questionnaire administration, involving adults aged ≥40 yr who visited the outpatient pharmacy in a Malaysian tertiary care hospital.
Results
83.2 per cent of the study participants were willing to deprescribe their medications if their doctor said it was possible. Factors such as patients’ involvement in treatment [odds ratio (OR): 1.16; 95%confidence interval (CI): 1.02-1.32; P=0.02], appropriateness of deprescribing (OR: 1.17; 95% CI: 1.05-1.31; P=0.004), concerns about stopping medication (OR: 0.75; 95% CI: 0.67-0.83; P<0.001), and trust in physicians (OR: 1.26; 95% CI: 1.04-1.52; P=0.017) were found to be associated with the willingness towards deprescribing.
Interpretation & conclusions
The high prevalence (83.2%) of willingness to deprescribe among middle and old-age ambulatory patients demonstrates a promising opportunity for medication optimisation in Malaysian healthcare settings. The factors predicting their willingness to deprescribe were patients’ involvement in treatment, perceived appropriateness of deprescribing, medication cessation concern, and physician-patient trust relationships.
Keywords
Ambulatory care
chronic disease
deprescribing
polypharmacy
trust towards physicians
The healthcare systems in low- and middle-income countries are overwhelmed by the burden of non-communicable diseases (NCDs)1. Malaysia, a higher middle-income country, also faces the same problem. The prevalence of NCDs and risk factors, leading to NCDs, has risen substantially1. The increasing number of NCDs has resulted in multimorbidity, leading to polypharmacy. This happens as patients are still being prescribed medications based on evidence-based guidelines for a single disease, despite the shift from managing a single morbidity to multiple morbidities2.
World Health Organization (WHO) defines polypharmacy as the concurrent use of multiple medications2. Polypharmacy is clinically justified when it demonstrably enhances a patient’s quality of life. However, inappropriate polypharmacy can lead to serious adverse events that might arise due to drug-disease interactions and drug-drug interactions in which the efficacy or toxicity of the drug is altered. Inappropriate polypharmacy is frequently associated with negative impacts and occurs more than appropriate polypharmacy3. It is strongly associated with frailty4, mortality5, increased hospitalisation, falls, and cognitive impairment6.
Due to the increasing problems and burdens arising from inappropriate polypharmacy, deprescribing has become an important step to mitigate and reduce unwanted outcomes. Studies on deprescribing have been conducted in different settings across countries such as Australia, Singapore, New Zealand, and Croatia7-9. Factors such as age, gender, physician trust, marital status, education levels, and others may influence the patients’ attitudes and willingness to reduce medication(s)7,8,10-12.
Despite robust exploration in deprescribing, scarce and unclear guidelines make this process complex and time-consuming. These gaps pose obstacles for both patients as well as healthcare providers. Addressing these issues, patients’ preferences and values should be the cornerstone in decision-making for deprescribing.
In Malaysia, polypharmacy prevalence has reached 45.9 per cent, with an increase observed post-COVID-1913. Studies highlight inappropriate medication use among polypharmacy patients, including those in nursing homes14. There are a few studies conducted in Malaysia that explore the beliefs and attitudes of elderly patients (≥65 yr old), caregivers, or physicians towards deprescribing10,15. However, it is crucial to include middle-aged adults in the study, given Malaysia’s high prevalence of NCDs, as evidenced by the National Health and Morbidity Survey. European studies have also highlighted the importance of studying middle-aged adults in deprescribing research1,7. Moreover, previous Malaysian studies have not sufficiently explored patients’ self-rated health (SRH), despite its strong association with polypharmacy16. While observational research indicates a correlation between polypharmacy and poor SRH, causal evidence demonstrating that deprescription improves SRH remains scarce16. This gap is particularly crucial to address, given that 20.1 per cent of Malaysians reported poor SRH17.
International research from Australia, Singapore, and Ethiopia indicates patient willingness to deprescribe based on physicians’ recommendations8,11,12. This study incorporates the Wake Forest Physician Trust Scale-short form (WFPTS-SF) for international comparison of patient-physician trust and deprescribing willingness, a novel approach in Malaysian research.
This study aims to investigate the prevalence of willingness and factors associated with deprescribing among middle- and old-aged ambulatory patients with chronic disease(s) in Malaysia.
Materials & Methods
This cross-sectional study was conducted in the department of Pharmacy, Hospital Canselor Tuanku Muhriz (HCTM), Malaysia after obtaining approval from the Research Ethics Committee, Universiti Kebangsaan Malaysia.
Data collection was conducted from March 2024 to June 2024 utilising systematic random sampling, whereby every third person who entered the outpatient pharmacy in HCTM was approached. If the respondent did not fulfil the inclusion criteria or refused to participate, the next person who entered the outpatient pharmacy and met the study inclusion criteria was selected. Written informed consent was obtained from all participants.
Based on previous research by Ng et al8, which explored patients’ attitudes towards medication quantity and factors influencing their acceptance of deprescribing, 73 per cent of participants were willing to deprescribe; the required sample size was calculated using the one-proportion formula. With a five per cent alpha level and a precision rate of six per cent, a sample size of 211 was determined. To compensate for a 20 per cent non-response rate, a total of 254 participants were recruited.
The study included ambulatory adults aged ≥40 yr who received treatment in HCTM, took ≥1 chronic medication(s) with ≥1 chronic disease(s) and could understand Malay or English. Those with cognitive impairment (Mini-Mental State Examination ≤23) or dementia and incomplete questionnaires were excluded.
The Revised Patient Attitudes to Deprescribing (rPATD) questionnaire18 had 22 items with four domains namely, perceived burden of medication taking, belief in the appropriateness of deprescribing, concerns about stopping the medication, and level of involvement/knowledge of medications. Each item was rated on a 5-point scale, whereby a higher score indicated a greater burden, concern, involvement, and appropriateness of deprescribing. Additionally, one global question assessed satisfaction with current medications, while another served as the dependent variable, assessing willingness to deprescribe with the question: “If my doctor said it was possible, I would be willing to stop one or more of my regular medicines.” Responses of “strongly disagree,” “disagree,” and “unsure” were categorised as “unwilling to deprescribe,” while “agree” and “strongly agree” were categorised as “willing to deprescribe”11.
SRH was assessed using a single question similar to Chan et al17, asking participants to rate their health on a scale from “very good” (5) to “very bad” (1). Higher scores indicate better SRH. Trust towards physicians investigated by WFPTS-SF adopted from Dugan et al19, which consisted of five items and ranged from “strongly agree” (5) to “strongly disagree” (1). A higher score reflects higher physician trust.
First, the questionnaire was translated into Malay by two bilingual translators and then back translated by another bilingual panel to English to ensure conceptual equivalence. It was then tested for clarity with 10 adults. The content validation was conducted among six content experts, comprising five clinical pharmacists and one medical doctor, who manage NCD patients in their respective clinics. For content validation, the Item-Level Content Validity Index (I-CVI), Scale-Level Content Validity Index (S-CVI/Ave), and S-CVI/UA all met the minimum threshold of 0.83 across the domains of relevance, importance, and clarity, ranging from 0.83 to 120. Moreover, the Modified Kappa agreement among content experts was excellent, with K values ranging from 0.81 to 120. Internal reliability of all factors was acceptable, with Cronbach’s alpha ≥0.7 among 40 patients21.
Statistical analysis
Data were coded and analysed using IBM SPSS statistical software version 27.0 (IBM Corp, Armonk, New York). Descriptive statistics were used to describe participants’ sociodemographic characteristics and the categories of patients’ willingness towards deprescribing. Chi-square analysis was used to test the association between the patients’ willingness to deprescribe medication(s) and the sociodemographic characteristics. An independent t-test was used to test the mean difference of rPATD attitude domain scores, SRH and WFPTS-SF among respondents who are willing and unwilling to deprescribe. All bivariate analyses with P≤0.25 were included in the multivariable logistic regression (MLR). The final model was tested using Hosmer–Lemeshow analysis to ensure the model fit. In addition, multicollinearity and interactions were also checked. All statistical analyses were conducted at a 95 per cent confidence interval (CI).
Results
A total of 310 potential participants were approached, and 261 completed the questionnaire, which yielded a response rate of 84.19 per cent. The sociodemographic characteristics of the participants were summarised in table I. Among 261 participants, 59 per cent (n=154) were female, and 62.8 per cent (n=164) were Malay. A total of 47 per cent (n=122) of them were between 40-59 yr old, who were classified in the category of middle-aged. More than half of the participants completed their tertiary study (52.5%). Participants who participated in this study had a mean (±SD) medical conditions of 2.78 (±1.54) with a median of 4 prescribed medications by a physician.
| Variable | Frequency (%) |
|---|---|
| Gender, n (%) | |
| Male | 107 (41) |
| Female | 154 (59) |
| Ethnicity, n (%) | |
| Malay | 164 (62.8) |
| Chinese | 75 (28.7) |
| Indian | 19 (7.3) |
| Others | 3 (1.1) |
| Age (yr), n (%) | |
| Middle-aged (40-59) | 122 (47) |
| Older adult (≥60) | 139 (53) |
| Education attainment, n (%) | |
| No formal education | 6 (2.3) |
| Primary | 23 (8.8) |
| Secondary | 95 (36.4) |
| Tertiary | 137 (52.5) |
| Marital status, n (%) | |
| Single | 21 (8.0) |
| Married | 230 (88.1) |
| Divorced/widow/widower | 10 (3.8) |
| Monthly income, n (%) | |
| No income | 125 (47.9) |
| <RM 2500 | 20 (7.7) |
| RM 2500-RM 4999 | 60 (23.0) |
| RM 5000-RM 7499 | 28 (10.7) |
| RM 7500-RM 9999 | 15 (5.7) |
| ≥RM 10,000 | 13 (5.0) |
| Medical condition, (mean ± SD) | 2.78 (1.54) |
| Number of prescribed medications by physician taken daily (median ± IQR) | 4.00 (2.00-6.00) |
| Exposure to medication therapy adherence clinic (MTAC), n (%) | |
| Yes | 14 (5.4) |
| No | 247 (94.6) |
SD, standard deviation; RM, Ringgit Malaysia; n, frequency; IQR, interquartile range
The mean of willingness towards deprescribing was 4.12, with a standard deviation of 1.05, indicating a high willingness towards deprescribing. Among 261 patients, 83.2 per cent were willing to deprescribe their medications if their doctor said it was possible.
The association between patients’ willingness towards deprescribing and participants’ sociodemographic characteristics was presented in table II. Sociodemographic characteristics were not statistically associated with the willingness to stop medication(s).
| Variable | Willingness towards deprescribing | ||||
|---|---|---|---|---|---|
| Yes | No | X2 value1/t2/Mann-Whitney U3 | df | P value | |
| n (%) | n (%) | ||||
| Age in yr, n (%) | |||||
| Middle-aged (40-59) | 99 (81.1) | 23 (18.9) | |||
| Older adult (≥60) | 118 (84.9) | 21 (15.1) | 0.650* | 1 | 0.42 |
| Gender, n (%) | |||||
| Male | 93 (86.9) | 14 (13.1) | |||
| Female | 124 (80.5) | 30 (19.5) | 1.843* | 1 | 0.175 |
| Ethnicity, n (%) | |||||
| Malay | 137 (83.5) | 27 (16.5) | |||
| Non-Malay | 80 (82.5) | 17 (17.5) | 0.049* | 1 | 0.825 |
| Marital status, n (%) | |||||
| Single &others (e.g. divorced/widow/widower) | 24 (77.4) | 7 (22.6) | |||
| Married | 193 (83.9) | 37 (16.1) | 0.822* | 1 | 0.365 |
| Highest education level attained, n (%) | |||||
| No formal education/ primary | 22 (75.9) | 7 (24.1) | |||
| Secondary | 77 (81.1) | 18 (18.9) | |||
| Tertiary | 118 (86.1) | 19 (13.9) | 2.266* | 2 | 0.322 |
| Monthly income, n (%) | |||||
| B40 | 168 (82) | 37 (18) | |||
| M40 or above | 49 (87.5) | 7 (12.5) | 0.966* | 1 | 0.326 |
| Exposure to MTAC, n (%) | |||||
| Yes | 13 (92.9) | 1 (7.1) | |||
| No | 204 (82.6) | 43 (17.4) | 0.996* | 1 | 0.318 |
| Number of medical conditions (mean ± SD) | 2.81 (1.55) | 2.64 (1.50) | -0.666† | 0.506 | |
| Number of chronic medications (median ± IQR) | 4 (4) | 4 (4) | 4960‡ | 0.681 | |
Analysis of the total score of each domain in rPATD has been presented in table III. There were significant mean differences in the involvement (P=0.015), appropriateness (P=0.007) and concern score (P<0.001) among patients’ willingness towards deprescribing. However, no significant mean difference was observed between the groups (willing and unwilling) on the burden (P=0.621) and satisfaction (P=0.252) domains.
| Variable | Mean (SD) | Willingness towards deprescribing | ||||
|---|---|---|---|---|---|---|
| Yes (n=217) mean (SD) | No (n=44) mean (SD) | Mean difference | t-value (df) | P value | ||
| Involvement | 20.80 (3.15)* | 21.00 (2.94) | 19.75 (3.89) | -1.26 | -2.443 (259) | 0.015 |
| Burden | 14.55 (4.43)* | 14.61 (4.48) | 14.25 (4.22) | -0.26 | -0.495 (259) | 0.621 |
| Appropriate | 14.15 (4.00)* | 14.40 (3.93) | 12.68 (3.94) | -1.77 | -2.716 (259) | 0.007 |
| Concern | 12.88 (3.81)* | 12.30 (3.63) | 15.70 (3.41) | 3.40 | 5.726 (259) | < 0.001 |
| Satisfaction | 4.03 (0.75)* | 4.05 (0.73) | 3.91 (0.83) | -0.142 | -1.148 (259) | 0.252 |
| Involvement | 20.80 (3.15)* | 21.00 (2.94) | 19.75 (3.89) | -1.26 | -2.443 (259) | 0.015 |
The overall score of SRH was 3.74 (±0.686) among the patients, as presented in table IV. The respondents willing to deprescribe showed higher SRH levels than their counterparts, but not statistically significant (P=0.358).
| Variable | Mean (SD) | Willingness to deprescribe | ||||
|---|---|---|---|---|---|---|
| Yes (n=217) mean (SD) | No (n=44) mean (SD) | Mean difference | t-value (df) | P value | ||
| Self-rated Health | 3.74 (0.686)* | 3.76 (0.651) | 3.64(0.838) | -0.124 | -0.927 (54) | 0.358 |
| Interpersonal trust in a physician-short form | 21.06 (2.23)* | 21.22 (2.17) | 20.36(2.45) | -0.839 | -2.291 (259) | 0.023 |
Besides, the overall score of WFPTS-SF was 21.06 out of 25 (Table IV), which indicated high overall trust towards physicians among patients. Patients who were willing to deprescribe showed a higher score in trust towards the physician compared to their counterparts, which showed significant differences (21.22 vs. 20.36, P=0.023).
Table V shows the results of MLR between the independent variables with the willingness towards deprescribing. The odds of willingness to stop medication(s) were significantly associated with a higher involvement score. The odds of willingness to deprescribe increased by 16 per cent with a one-unit increase in the high involvement score in rPATD (OR=1.16, 95% CI: 1.024-1.322). Similarly, a seventeen percent increase in odds was observed with a one-unit increase in perceived appropriateness in deprescribing (OR=1.17, 95% CI: 1.503-1.308). Moreover, higher trust in physicians was found to have a positive relationship with deprescribing (OR=1.259, 95% CI: 1.043-1.521). The patients’ willingness to deprescribe increased by 26 per cent with a one-unit increase in the WFPTS-SF score. However, those who scored higher in concern about deprescribing were less willing to deprescribe their medication (OR=0.75, 95% CI: 0.67-0.83).
| Crude | Adjusted | Tolerance† | Variance inflation factor (VIF)‡ | |||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% C.I. | P value | OR | 95% C.I. | P value | |||
| Gender | ||||||||
| Male | ||||||||
| Female | 1.607 | 0.807-3.201 | 0.177 | 1.531 | 0.680-3.448 | 0.304 | ||
| Satisfaction in rPATD | 1.268 | 0.844-1.903 | 0.253 | 1.264 | 0.743-2.151 | 0.388 | 0.841 | 1.189 |
| Involvement score in rPATD | 1.126 | 1.020-1.243 | 0.018 | 1.164 | 1.024-1.322 | 0.020 | 0.902 | 1.019 |
| Burden score in rPATD | 1.019 | 0.946-1.097 | 0.620 | 1.035 | 0.933-1.147 | 0.519 | 0.774 | 1.344 |
| Appropriate score in rPATD | 1.126 | 1.031-1.230 | 0.008 | 1.174 | 1.053-1.308 | 0.004 | 0.797 | 1.255 |
| Concern score in rPATD | 0.781 | 0.709-0.861 | <0.001 | 0.747 | 0.669-0.834 | <0.001 | 0.949 | 1.054 |
| Trust in physician | 1.197 | 1.023-1.400 | 0.025 | 1.259 | 1.043-1.521 | 0.017 | 0.985 | 1.016 |
Discussion
As per our knowledge, this is the first study in Malaysia involving the middle-aged individuals in assessing their willingness towards deprescribing. It is noted that the willingness of patients to deprescribe their medication(s) is relatively high (83.2%) among the respondents. The willingness to deprescribe medications among patients in HCTM was comparable to other countries, such as Australia (88%), Ethiopia (85%), Croatia (84%), Netherlands (88%), and Lebanon (89%)7,11,22-24. The prevalence in this study is higher compared to another study from Malaysia that focused on government primary care health clinics and community pharmacies, which reported a prevalence of 67.5 per cent10. This discrepancy might be due to the higher health literacy among the participants of the current study, with over half (52.5%) having completed tertiary education, compared to 9.6 per cent in health clinics and 16.7 per cent in community pharmacies, as reported10. Therefore, they often have a better understanding of medications and medical conditions10.
The present study found no significant association between age groups, which contradicts the findings by Buzancics et al7 and Kua et al10. This might be attributed to increased health literacy and awareness among the community after the COVID-19 pandemic. Therefore, there is a greater emphasis on self-care and preventive health25. This can be explained by the protection motivation theory, which posits that individuals who perceive a severe threat are more likely to take necessary actions to protect themselves, such as proactively seeking health information26.
In the present study, sex appeared to be irrelevant to the willingness to deprescribe, which is consistent with the previous studies7,10,11,22,24. This might be due to gender equality, which is now a fundamental human right, ensuring that access to rights and opportunities is unaffected by sex21. For example, both men and women had the same rights and opportunities to have an education, which helps develop their critical thinking and decision-making skills. As an upper-middle-income country, Malaysia has mandated primary and secondary education since 201527. Therefore, men and women have equal chances to have education, leading to comparable health literacy, and eventually, no significant difference in willingness towards deprescribing.
Patients’ willingness to participate in decision-making is crucial for implementing shared decision-making (SDM) in healthcare. Patients’ participation in SDM can predict their willingness to embrace new patient-centred services like deprescribing28. This is supported by findings in this study, in which a higher involvement score in rPATD is associated with a higher willingness to deprescribe medication. SDM happens when healthcare providers and patients work together to make the best healthcare decision that is tailored to specific patients28. When patients actively participate in care decisions, health outcomes improve significantly, reducing hospital bed days by 25 per cent, reducing admissions by 19 per cent, and achieving an 86 per cent patient satisfaction rate28.
This study also highlighted that individuals were more willing to deprescribe if they perceive higher appropriateness in withdrawing medication(s). This finding aligns with studies in Croatia (P=0.039), Indonesia (P=0.03) and Lebanon (P=0.015)7,23. A higher perception of appropriateness in withdrawing medications appeared to be influenced due to experiencing side effects or a lack of effectiveness29.
While SDM is gradually replacing the paternalistic model globally, some Asians reportedly still find it distressing and burdensome30. Although there is an increasing trend in the involvement in decision-making among the Asian community, it is still lower compared to Western society30. Consequently, many clinical settings in Asia still favour the paternalistic approach, where physicians make decisions they deem best for the patient, and patients tend to follow advice30. This aligned with the current study, which showed higher trust in physicians, leading to a higher willingness towards deprescribing. Thus, physicians should communicate the advantages of SDM to patients and actively encourage their participation in the decision-making process.
The willingness in deprescribing was not significantly associated with the burden score among patients, which was similar to other studies7,11,24. The finding might be due to the current research setting in HCTM, which is a tertiary semi-government hospital where the government partially subsidises medications provided. Many patients initially perceive taking daily medications as burdensome. However, over time, these habits become automated behaviours as patients recognise the necessity of medications for managing their medical conditions31. Additionally, HCTM practices using fixed-dose combination drug therapy where possible, which reduces pill burden, improves adherence and decreases treatment burden.
When patients are satisfied with the treatment, they are more likely to comply with the medications and actively take care of their health. This, in turn, enhances perceived quality of life. Jneid et al32 reported that better treatment satisfaction positively affected the overall health-related QOL. Therefore, patients might feel they no longer need the medications and would like to discontinue the medications as they perceive their health has improved. This is shown in a few studies, including one from Lebanon23. However, there is no significant difference between satisfaction and willingness towards deprescribing in this study, which warrants future investigations.
This study was not without limitations. It did not investigate the roles and responsibilities of other healthcare professionals other than physicians (e.g., clinical pharmacists). Furthermore, the findings of this single-centre study may not be generalisable to the entire Malaysian population. Moreover, the caregivers’ perception is not investigated in this study, which is significant given the cultural norm for family involvement in treatment decisions. Future research should address these limitations.
Understanding these elements will assist in the planning of deprescribing implementation to reduce possible adverse events or adverse events arising from polypharmacy, which has an increasing prevalence in Malaysia.
Acknowledgment
The authors would like to acknowledge the outpatient pharmacy Hospital Canselor Tuanku Muhriz for the permission to carry out this research. We would like to thank Dr. Emily Reeve and Prof. Mark A. Hall for permitting us to adapt their questionnaires.
Financial support & sponsorship
None.
Conflicts of Interest
None.
Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation
The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.
References
- Non-Communicable Diseases (NCDs) intervention activities before and after the implementation of KOSPEN Plus programme at workplace. Available from: https://iku.gov.my/media/attachments/2022/08/11/kospen-plus_2019_phase-1_digital.pdf, accessed June 14, 2024.
- Medication safety in polypharmacy. Available from: https://www.who.int/docs/default-source/patient-safety/who-uhc-sds-2019-11-eng.pdf, accessed December 11, 2024.
- An overview of prevalence, determinants and health outcomes of polypharmacy. Ther Adv Drug Saf. 2020;11:2042098620933741.
- [Google Scholar]
- Association between polypharmacy and death: A systematic review and meta-analysis. J Am Pharm Assoc (2003). 2017;57:729-38.e10.
- [Google Scholar]
- Comparison of anticholinergic risk scales and associations with adverse health outcomes in older people. J Am Geriatr Soc. 2015;63:85-90.
- [Google Scholar]
- Exploring patients’ attitudes toward deprescribing and their perception of pharmacist involvement in a European country: A cross-sectional study. Patient Prefer Adherence. 2021;15:2197-208.
- [Google Scholar]
- Deprescribing: What are the views and factors influencing this concept among patients with chronic diseases in a developed Asian community? Proc Singap Healthc. 2017;26:172-9.
- [Google Scholar]
- DEFEAT-polypharmacy: Deprescribing anticholinergic and sedative medicines feasibility trial in residential aged care facilities. Int J Clin Pharm. 2019;41:167-78.
- [Google Scholar]
- Attitudes towards deprescribing among multi-ethnic community-dwelling older patients and caregivers in Malaysia: A cross-sectional questionnaire study. Int J Clin Pharm. 2019;41:793-803.
- [Google Scholar]
- Attitudes of older adult patients and caregivers towards deprescribing of medications in Ethiopia. Clin Interv Aging. 2023;18:1129-43.
- [Google Scholar]
- Development and validation of the patients’ attitudes towards deprescribing (PATD) questionnaire. Int J Clin Pharm. 2013;35:51-6.
- [Google Scholar]
- Polypharmacy and potentially inappropriate medications among hospitalized older adults with COVID-19 in Malaysian tertiary hospitals. J Pharm Policy Pract. 2023;16:2.
- [Google Scholar]
- Prevalence of potentially inappropriate medications among geriatric residents in nursing care homes in Malaysia: A cross-sectional study. Int J Clin Pharm. 2019;41:895-902.
- [Google Scholar]
- Weighing the necessities and concerns of deprescribing among older ambulatory patients and primary care trainees: A qualitative study. BMC Prim Care. 2023;24:136.
- [Google Scholar]
- Polypharmacy and the change of self-rated health in community-dwelling older adults. Int J Environ Res Public Health. 2023;20:4159.
- [Google Scholar]
- Lifestyle, chronic diseases and self-rated health among Malaysian adults: Results from the 2011 National Health and Morbidity Survey (NHMS) BMC Public Health. 2015;15:754.
- [Google Scholar]
- Development and validation of the revised patients’ attitudes towards deprescribing (rPATD) questionnaire: versions for older adults and caregivers. Drugs Aging. 2016;33:913-28.
- [Google Scholar]
- Development of abbreviated measures to assess patient trust in a physician, a health insurer, and the medical profession. BMC Health Services Research. 2005;5:64.
- [Google Scholar]
- ABC of content validation and content validity index calculation. Educ Med J. 2019;11:49-54.
- [Google Scholar]
- The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48:1273-96.
- [Google Scholar]
- Older people’s attitudes towards deprescribing cardiometabolic medication. BMC Geriatr. 2021;21:366.
- [Google Scholar]
- Attitudes of Lebanese community-dwelling older adults towards deprescribing using the rPATD tool. Arch Gerontol Geriatr. 2023;105:104840.
- [Google Scholar]
- Attitudes of older adults and caregivers in Australia toward deprescribing. J Am Geriatr Soc. 2019;67:1204-10.
- [Google Scholar]
- Habit formation of preventive behaviours during the COVID-19 pandemic: A longitudinal study of physical distancing and hand washing. BMC Public Health. 2022;22:1588.
- [Google Scholar]
- A meta-analysis of research on protection motivation theory. J App Soc Psychol. 2000;30:07-29.
- [Google Scholar]
- Number of students enrolled in public higher education institutions in Malaysia from 2013 to 2022, by gender; 2024. Available from: https://www.statista.com/statistics/794845/students-in-public-higher-education-institutions-by-gender-malaysia/, accessed June 14, 2024.
- Engaging patients in decision-making and behavior change to promote prevention. Stud Health Technol Inform. 2017;240:284-302.
- [Google Scholar]
- Why do patients struggle with their medicines? A phenomenological hermeneutical study of how patients experience medicines in their everyday lives. PLoS One. 2021;16:e0255478.
- [Google Scholar]
- Cultural influences on shared decision-making among Asian Americans: A systematic review and meta-synthesis of qualitative studies. Patient Educ Couns. 2023;106:17-30.
- [Google Scholar]
- Transform your habits (3rd edition). New York (US): James Clear; 2015.
- Quality of life and its association with treatment satisfaction, adherence to medication, and trust in physician among patients with hypertension: A cross-sectional designed study. J Cardiovasc Pharmacol Ther. 2018;23:532-42.
- [Google Scholar]
