Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-22T09:04:30.793Z Has data issue: false hasContentIssue false
  • English
  • Français

Patient beliefs associated with medication hesitancy in palliative care: A systematic review using the theory of planned behavior

Published online by Cambridge University Press:  12 December 2022

Un Cheng Lo Open the ORCID record for Un Cheng Lo [Opens in a new window] ,
Hala Musa ,
Jeffery Li Open the ORCID record for Jeffery Li [Opens in a new window] ,
Janet Gaon ,
David E. Hibbs  and
Jennifer A. Ong
Un Cheng Lo
Affiliation:
School of Pharmacy, University of Sydney, Sydney, NSW, Australia
Hala Musa
Affiliation:
Department of Pharmacy, Chris O’Brien Lifehouse, Sydney, NSW, Australia
Jeffery Li
Affiliation:
Department of Pharmacy, Chris O’Brien Lifehouse, Sydney, NSW, Australia
Janet Gaon
Affiliation:
Department of Pharmacy, Chris O’Brien Lifehouse, Sydney, NSW, Australia
David E. Hibbs
Affiliation:
School of Pharmacy, University of Sydney, Sydney, NSW, Australia
Jennifer A. Ong*
Affiliation:
School of Pharmacy, University of Sydney, Sydney, NSW, Australia
*
Author for correspondence: Jennifer A. Ong, Sydney Pharmacy School, The University of Sydney, A15 Science Road, Camperdown, NSW 2050, Australia. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Context

The demand of palliative care is increasing due to the aging population and treatment hesitancy or intentional avoidance compromises symptom management.

Objectives

To identify patient beliefs associated with medication hesitancy by using the theory of planned behavior (TPB) namely, attitudes, subjective norms, behavioral intention, and perceived behavioral control associated with medication hesitancy or intentional noncompliance by avoidance.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis guideline was followed to conduct a systematic literature search involving the CINAHL, Embase, MEDLINE, and PsycINFO databases from inception until March 2022. Hand-searched articles from reference lists and gray literature were included. Thematic analysis was conducted on qualitative data and triangulated with quantitative data.

Results

About 554 articles were retrieved from the literature search and 17 articles were included based on the eligibility criteria. Three subthemes that were identified under TPB constructs were attitude: negative attitude toward medications, passive attitude toward illness and inaccurate information about disease or medication; one subtheme was identified under subjective norms: perceived negative opinions from others; and one subtheme was identified under perceived behavioral control: perception of manageable symptoms. Quantitative data provided triangulation of qualitative findings related to fear of addiction and side effects, feelings of hopelessness, unclear direction and information, social stigma, endurable symptoms, and illness as determinants for medication avoidance.

Significance of results

This systematic review highlighted some patient beliefs related to medication hesitancy or avoidance. Clinicians should take patient beliefs and concerns into consideration when creating treatment regimens for people receiving palliative care to optimize medication adherence and the quality of care.

Keywords

Palliative careMedication hesitancyTheory of planned behaviorSystematic review
Type
Review Article
Information
Palliative & Supportive Care , Volume 22 , Issue 3 , June 2024 , pp. 610 - 622
Check for updates
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2022. Published by Cambridge University Press.

Introduction

The demand for palliative care is increasing due to an increased prevalence of life-limiting diseases, as well as the growth of the aging population (Al-Mahrezi and Al-Mandhari Reference Al-Mahrezi and Al-Mandhari2016). Palliative care aims to improve the quality of life of patients and their family via regular assessment and early intervention of physical, psychosocial, cultural, and spiritual needs. The aims of care include providing symptomatic relief and providing comfort to patients and their families. Challenges include effective provider–patient communication, shared decision-making, education, end-of-life care, and bioethics (Price et al. Reference Price, Strodtman and Montagnini2019). Treatment hesitancy or intentional noncompliance by avoidance also compromises patient’s symptom management and quality of life. Hesitancy has previously been reported for medications such as opioids (Apolone et al. Reference Apolone, Corli and Caraceni2009; Davies et al. Reference Davies, Buchanan and Zeppetella2013) and medicinal cannabis (Zeng et al. Reference Zeng, Lytvyn and Wang2021). Hence, it is important to address the patient’s concern and to consider factors that drive intentional avoidance to promote shared decision-making with patients and optimize patient-centered care.

Qualitative studies in the palliative care setting have highlighted potential barriers to medication adherence including patients’ lack of knowledge, side effects of medications, and hesitancy in administering medications (Harasym et al. Reference Harasym, Brisbin and Afzaal2020; Lin et al. Reference Lin, Wang and Lai2000). Epidemiological data have determined other factors that affected medication compliance in the overall population such as patient-related factors (such as health literacy), treatment-related factors (such as medication administration route), and disease-related factors (severity and symptoms of disease) (Jin et al. Reference Jin, Sklar and Oh2008). However, a comprehensive synthesis of evidence of patient perspectives in the palliative care setting is scarce. Hence, in the present study, the theory of planned behavior (TPB) framework was adopted to explore medication hesitancy and avoidance in the palliative care setting, which systematically highlights potential factors that influence the occurrence of a certain behavior (medication avoidance and hesitancy in this case). Such factors include personal attitude toward the behavior, subjective norms, and perceived behavioral control (Ajzen Reference Ajzen1991) and has previously been widely used in health-care settings to understand patient behavior with respect to medication adherence and other health-related behaviors (Armitage and Conner Reference Armitage and Conner2001; Kam et al. Reference Kam, Knott and Wilson2012; Kopelowicz et al. Reference Kopelowicz, Zarate and Wallace2015).

Methods

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline (Moher et al. Reference Moher, Liberati and Tetzlaff2009), and the quality of the evidence was critically appraised using the Mixed Method Appraisal Tool (MMAT) (Hong et al. Reference Hong, Fàbregues and Bartlett2018). Synthesis of qualitative and quantitative findings was conducted based on Whittemore and Knafl’s integrative methodology (Whittemore and Knafl Reference Whittemore and Knafl2005) with the intention of providing a better understanding of the targeted phenomenon.

Search strategy

Literature was sourced from 4 databases including CINAHL, Embase, MEDLINE, and PsycINFO systematically from inception to March 2022. The search strategy centered around 3 concepts: patient beliefs, medication hesitancy, and palliative care. Specific drug classes and names of medications that have been previously reported to be associated with medication hesitancy such as “cannabis” including its components “cannabidiol” (and “CBD”) and “tetrahydrocannabinol” (and “THC”), “benzodiazepines,” “midazolam,” “clonazepam,” “diazepam,” “opioids,” and “morphine” were also included for the purpose of broadening the search. Subject headings and keywords related to each concept were combined to generate the search. The search strategy was then reviewed and approved by the university librarian. Gray literature such as conference abstracts were also included. Additionally, studies that were recommended and hand-searched from reference lists were included. The detailed search strategies for each databases are shown in Appendix A.

Study selection

The search results were exported to EndNote (EndNote 2013) for deduplication and Covidence (Covidence 2022) was used for the screening process. The title and abstract of the references were reviewed by 3 authors (U.C.L., H.M., and J.L.) independently based on the eligibility criteria. The inclusion criteria were as follows: (1) qualitative and quantitative primary studies, (2) studies that reported avoidance or hesitancy against prescribed medications in the palliative care setting, (3) and studies in which patients had decision-making capacity. We excluded studies that (1) did not include patient-reported outcomes nor patient perspectives, (2) did not report patient attitude toward any prescribed medication, (3) had findings that did not correspond to any TPB constructs, and (4) published in non-English languages. Full-text screening was subsequently conducted to confirm eligibility. Any disagreement was resolved through discussion and consultation with a fourth reviewer (J.A.O.).

Quality assessment

The quality of qualitative, quantitative, and mixed methods studies was assessed by using the MMAT (Hong et al. Reference Hong, Fàbregues and Bartlett2018) for the purpose of examining the strength of evidence and identifying the potential bias and allowing comparison of studies. Affirmation of the first 2 questions was considered as the prerequisites for inclusion (i.e., 1. Are there clear research questions? and 2. Do the collected data allow to address the research questions?), while the remaining 5 questions (i.e., 1. Is the qualitative approach appropriate to answer the research question? 2. Are the qualitative data collection methods adequate to address the research question? 3. Are the findings adequately derived from the data? 4. Is the interpretation of results sufficiently substantiated by data? 5. Is there coherence between qualitative data sources, collection, analysis, and interpretation? for qualitative studies; 1. Is the sampling strategy relevant to address the research question? 2. Is the sample representative of the target population? 3. Are the measurement appropriate? 4. Is the risk of nonresponse bias low? 5. Is the statistical analysis appropriate to answer the research question? for quantitative descriptive studies; or, 1. Is there an adequate rationale for using a mixed methods design to address the research question? 2. Are the different components of the study effectively integrated to answer the research question? 3. Are the outputs of the integration of qualitative and quantitative components adequately interpreted? 4. Are divergences and inconsistencies between quantitative and qualitative results adequately addressed? 5. Do the different components of the study adhere to the quality criteria of each tradition of the methods involved? for mixed-method studies) were used to assess the quality of the study.

Data analysis

TPB constructs served as a theoretical framework to guide data extraction and identification of factors influencing medication hesitancy in patients receiving palliative care. Findings were broadly categorized under factors associated with patient’s beliefs and evaluation of their own medication avoidance (attitudes), other people’s attitude toward their medication avoidance (subjective norms), their own perception of the extent of medication avoidance (behavioral intention), and their own perception of control or power to avoid prescribed medications (perceived behavioral control). Qualitative data were extracted from the full text and analyzed thematically using NVivo software (NVivo 2020). The data were first read and re-read for familiarity and inductive code generation. During coding, potential ideas were constructed from the data and descriptive themes were developed from these codes. The descriptive themes were analyzed by the TPB constructs (i.e., attitudes, subjective norms, behavioral intention, and perceived behavioral control) served as a priori framework and formed the analytical themes. The codes and themes were developed by 2 authors (U.C.L. and J.A.O.).

Descriptive data from quantitative studies were also obtained and compared with the themes generated from qualitative data. The integration of data allowed the triangulation of findings on patients’ perspectives, which influenced medication hesitancy or noncompliance.

Results

A total of 554 references were retrieved from the databases. After deduplication, 455 articles were screened by title and abstract. After title screening, 75 articles remained for full-text review and 17 studies were included for this review based on the predefined eligibility criteria for inclusion (Figure 1). Among those studies, 11 were qualitative studies (Adam et al. Reference Adam, Clausen and Hall2015; Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Cervantes et al. Reference Cervantes, Jones and Linas2017; Fine Reference Fine2007; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Lo and Jonsen Reference Lo and Jonsen1980; Moran et al. Reference Moran, Zentner and Eastman2019; Persaud-Sharma et al. Reference Persaud-Sharma, Kashan and Berkman2018; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008; Sand et al. Reference Sand, Harris and Rosland2009), 4 were quantitative studies (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Davies et al. Reference Davies, Buchanan and Zeppetella2013; Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011; Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012), and 2 were mixed-method studies (Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022).

Fig. 1. PRISMA flow diagram.

Study characteristics

The included studies were conducted in various countries including Australia (n = 1) (Xu et al. Reference Xu, Luckett and Lovell2022), France (n = 1) (Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015), India (n = 1) (Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011), Iran (n = 1) (Rafii et al. Reference Rafii, Taleghani and Khatooni2021), Malaysia (n = 1) (Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012), The Netherlands (n = 1) (Huijer and van Leeuwen Reference Huijer and van Leeuwen2000), Norway (n = 1) (Sand et al. Reference Sand, Harris and Rosland2009), the United Kingdom (n = 2) (Adam et al. Reference Adam, Clausen and Hall2015; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008), and the United States (n = 5) (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Cervantes et al. Reference Cervantes, Jones and Linas2017; Fine Reference Fine2007; Persaud-Sharma et al. Reference Persaud-Sharma, Kashan and Berkman2018; Wright et al. Reference Wright, El-Jawahri and Temel2019). One study was conducted in multiple countries including Austria, Czech Republic, Denmark, Finland, France, Germany, Greece, Italy, The Netherlands, the Republic of Ireland, Spain, Sweden, and the United Kingdom (Davies et al. Reference Davies, Buchanan and Zeppetella2013). Two studies did not report the information regarding country or setting (Lo and Jonsen Reference Lo and Jonsen1980; Moran et al. Reference Moran, Zentner and Eastman2019). There were 1,589 participants who were included in this review and among them 1,536 were patients. The remainder were either health-care professionals or caregivers. The included studies ranged from the year 1980 to 2022. Among all the included articles, most (15 out of 17) articles included patients diagnosed with cancer (Adam et al. Reference Adam, Clausen and Hall2015; Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Davies et al. Reference Davies, Buchanan and Zeppetella2013; Fine Reference Fine2007; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Lo and Jonsen Reference Lo and Jonsen1980; Persaud-Sharma et al. Reference Persaud-Sharma, Kashan and Berkman2018; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008; Sand et al. Reference Sand, Harris and Rosland2009; Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011; Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012; Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022). One article focused on end-stage renal disease (Cervantes et al. Reference Cervantes, Jones and Linas2017) and another on chronic obstructive pulmonary disease (Moran et al. Reference Moran, Zentner and Eastman2019). The medications that were most frequently mentioned in the studies were opioids. Other medications involved were paracetamol, cortisone, antibiotics, chemotherapy medications, hormonal therapy, antiemetics, and sedatives. Other information including study objectives, setting, study design, participant characteristics, and drug class or name associated with hesitancy or avoidance and findings are shown in Table 1.

Table 1. Characteristics of included studies

Quality appraisal

All studies fulfilled the prerequisites for inclusion; however, the quality of the included studies varied. For qualitative studies, 6 studies (Adam et al. Reference Adam, Clausen and Hall2015; Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Cervantes et al. Reference Cervantes, Jones and Linas2017; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008; Sand et al. Reference Sand, Harris and Rosland2009) satisfied all 5 MMAT criteria. Three studies (Fine Reference Fine2007; Lo and Jonsen Reference Lo and Jonsen1980; Persaud-Sharma et al. Reference Persaud-Sharma, Kashan and Berkman2018) fulfilled 4 criteria but not the criteria related to the data collection method. Two studies (Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Moran et al. Reference Moran, Zentner and Eastman2019) fulfilled only 1 criterion due to ambiguity in the data collection method, the way that the data were analyzed and interpreted, and/or the coherency between the data and results. For the quantitative studies, 2 studies (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Davies et al. Reference Davies, Buchanan and Zeppetella2013) fulfilled 3 criteria. These studies did not specify whether the sample represented the target population, the appropriateness of measurement, and/or the risk of nonresponse bias. One study (Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011) fulfilled one criterion for indicating a relevant sampling strategy, and one study (Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012) did not fulfil any criterion. For the mixed-method studies, 1 study (Xu et al. Reference Xu, Luckett and Lovell2022) fulfilled 4 criteria but did not address the rationale of using mixed method, and 1 study (Wright et al. Reference Wright, El-Jawahri and Temel2019) fulfilled 3 criteria (Appendix Table B1–B3).

Patient perspectives toward medication hesitancy from the result section of the studies were extracted and coded using NVivo software. Across all TPB components, 12 subthemes emerged and were categorized into 5 themes (Table 2).

Table 2. The perspective of individuals towards medication hesitancy or noncompliance based on the TPB model

Attitude

Three themes were identified: negative attitude toward medication, passive attitude toward illnesses, and inaccurate information about disease or medication.

Negative attitude toward medications

Some patients perceived the use of medications, particularly morphine, signaled illness progression (Reid et al. Reference Reid, Gooberman-Hill and Hanks2008), or imminent death (Adam et al. Reference Adam, Clausen and Hall2015; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008).

If I take quite a lot of this morphine then I – it just means I’m getting worse. And I don’t want to get worse. (Reid et al. Reference Reid, Gooberman-Hill and Hanks2008)

Other patients were sceptical about the effect of medications and did not think that they would help alleviate the symptoms or simply accepted that symptoms were unavoidable and preferred not to mask symptoms using medications as a method to track illness progression (Xu et al. Reference Xu, Luckett and Lovell2022).

I knew that Panadol was not a strong pain medication and I did not think it had effects. (Xu et al. Reference Xu, Luckett and Lovell2022)

Patients feared that taking analgesic medications would lead to addiction or feared tolerance and dependence. Despite receiving a poor prognosis, the potential for addiction was still an expressed concern for patients who were prescribed opioids (Adam et al. Reference Adam, Clausen and Hall2015; Fine Reference Fine2007; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Sand et al. Reference Sand, Harris and Rosland2009; Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022).

I am afraid to take all these tablets. Will I become addicted? (Sand et al. Reference Sand, Harris and Rosland2009)

I am afraid of becoming addicted to medicines. I have seen my sister and her battery of tablets for her chronic illness, which she eats greedily. I am not keen on tablets. (Sand et al. Reference Sand, Harris and Rosland2009)

What is my maximum tolerance of morphine? Will I need more and more at the end and still it will not ease the pain? Maybe I will die due to the morphine and not due to the cancer. (Sand et al. Reference Sand, Harris and Rosland2009)

Side effects was a frequently reported concern that made patients hesitant to use medications (Adam et al. Reference Adam, Clausen and Hall2015; Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Cervantes et al. Reference Cervantes, Jones and Linas2017; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Lo and Jonsen Reference Lo and Jonsen1980; Moran et al. Reference Moran, Zentner and Eastman2019; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Sand et al. Reference Sand, Harris and Rosland2009; Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022). Some patients believed that all medications were “toxins” that would accumulate and do “damage to the body” and that the disadvantages outweighed the benefits (Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Sand et al. Reference Sand, Harris and Rosland2009; Xu et al. Reference Xu, Luckett and Lovell2022). In fact, 1 patient perceived paracetamol did more harm than good (Sand et al. Reference Sand, Harris and Rosland2009).

This stemmed from an awareness or previous experience of known side effects including constipation, sedation, dizziness, nausea, vomiting, respiratory depression, and cognitive impairment (Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015; Cervantes et al. Reference Cervantes, Jones and Linas2017; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Wright et al. Reference Wright, El-Jawahri and Temel2019). Some patients were deterred from medication adherence by psychological effects, mentioning fears of “losing control” or “sense of self,” or peculiar and unusual effects such as their “face [becoming] bigger,” which the patient associated with cortisone use, and could not tolerate (Sand et al. Reference Sand, Harris and Rosland2009) significant sweating, which led to the avoidance of paracetamol by another patient (Sand et al. Reference Sand, Harris and Rosland2009).

I got frustrated with how I was feeling and I stopped taking all of the opioids. (Wright et al. Reference Wright, El-Jawahri and Temel2019)

I don’t feel well. I cannot sleep. But I am not sure whether I can use these tablets any longer because they make me so passive. I sit in a chair all day and night. Using the tablets makes me feel physically better, but they make me very passive. (Sand et al. Reference Sand, Harris and Rosland2009)

Passive attitude toward their illnesses

Some patients were fatalistic or believed that they deserved to suffer from their illnesses (Cervantes et al. Reference Cervantes, Jones and Linas2017; Fine Reference Fine2007). They considered their illnesses were a type of punishment for their parents or their own past behaviors (Cervantes et al. Reference Cervantes, Jones and Linas2017).

I do believe that everything happens for a reason. I have no choice. This is it. This is as good as it gets. (Cervantes et al. Reference Cervantes, Jones and Linas2017)

Other patients experienced feelings of hopelessness with the diagnosis of their life-limiting illnesses, which was demotivating for treatment adherence (Lo and Jonsen Reference Lo and Jonsen1980; Rafii et al. Reference Rafii, Taleghani and Khatooni2021).

I know that I am not going to survive, so what is the point of suffering this much pain? I can’t bear it anymore, what is the point of these drugs and injections? (Rafii et al. Reference Rafii, Taleghani and Khatooni2021)

I forget to take my medication … I think the reason is that I don’t want to admit that I am ill. The tablets remind me of my cancer. (Sand et al. Reference Sand, Harris and Rosland2009)

Inaccurate information about disease or medication

Patients preferred lifestyle modifications and practicing healthy lifestyles, which led to decreased interest in using medications (Xu et al. Reference Xu, Luckett and Lovell2022), while some patients had false hope about their disease prognosis; therefore, they did not take prescribed medications (Rafii et al. Reference Rafii, Taleghani and Khatooni2021).

I always think that our bodies also have the ability of self-healing. We should take care of ourselves in all aspects of our diet and daily life. Paying attention to doing the exercises may be helpful. You may help yourself in pain management. (Xu et al. Reference Xu, Luckett and Lovell2022)

Unclear direction and information also appeared to lead to medication hesitancy or noncompliance. More specifically, some patients did not take medication due to feeling confused and unsure about the indications of medication (Sand et al. Reference Sand, Harris and Rosland2009), while other questioned the need for adjuvant treatment in chemotherapy during periods of wellness (Huijer and van Leeuwen Reference Huijer and van Leeuwen2000).

When I see all the different pills prescribed for me, I think, “Must I take all of them?” What does it do to me? (Sand et al. Reference Sand, Harris and Rosland2009)

Subjective norm

This theme was associated with the perceived opinions of others.

Perceived opinions of others

Patients were hesitant to use medication due to social stigma (Moran et al. Reference Moran, Zentner and Eastman2019). In particular, male patients were noted to be less likely to mention to have experienced pain as they held beliefs that bearing pain was more socially acceptable and had negative perceptions about medications due to cultural reasons, to the extent where people with a Chinese cultural background were highlighted to be more likely to endure pain and avoid taking medications for relief than people with a Western cultural background (Xu et al. Reference Xu, Luckett and Lovell2022).

(They) pay more attention to the quality of life; while our Chinese people are used to enduring the great hardship for more important tasks. The local people would think if I can get relief and why I have to suffer. (Xu et al. Reference Xu, Luckett and Lovell2022)

Perceived behavioral control

The patient’s perception of their own control of symptoms and illness was identified under this theme.

Perception of symptoms and illness as manageable

Strong perceived behavioral control was noted as patients described their ability to endure the symptoms and, as a result, actively avoided taking medications (Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Xu et al. Reference Xu, Luckett and Lovell2022). In extreme cases, patients believed their illness could be managed without medications entirely (Sand et al. Reference Sand, Harris and Rosland2009). However, some patients preferred to avoid opioids and tolerate the symptoms as much as they can until the late stages of illness (Xu et al. Reference Xu, Luckett and Lovell2022).

I feel that if my health condition is so serious, I should take it and accept it. Because I heard from my friend that if the pain is unbearable, we must take it. Only pain medications, like morphine, may stop that kind of pain so that we may sleep well at night … So, I would take it, because I do not want to have this kind of pain and I do not want to suffer. (Xu et al. Reference Xu, Luckett and Lovell2022)

Behavioral intention

Medication avoidance or reservation for severe or unbearable symptoms only were the behavioral intentions reported by the majority of patients in the included studies (Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008; Sand et al. Reference Sand, Harris and Rosland2009; Xu et al. Reference Xu, Luckett and Lovell2022).

Quantitative findings

The quantitative data from the included studies showed some varying degrees of medication adherence (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Davies et al. Reference Davies, Buchanan and Zeppetella2013; Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011; Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012; Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022). Other than taking medications for symptom alleviation, patients also adopted non-pharmacological interventions (Davies et al. Reference Davies, Buchanan and Zeppetella2013; Xu et al. Reference Xu, Luckett and Lovell2022). Medications associated with nonadherence included opioids (including morphine), non-opioids analgesics (Davies et al. Reference Davies, Buchanan and Zeppetella2013; Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012), and chemotherapy medications (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011). In a study that included cancer patients from European countries, only 53% of patients were reported to take their opioids for breakthrough pain (Davies et al. Reference Davies, Buchanan and Zeppetella2013). Concerns about side effects and addiction were reported as reasons for medication avoidance (Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011; Wright et al. Reference Wright, El-Jawahri and Temel2019; Xu et al. Reference Xu, Luckett and Lovell2022). Feelings of hopelessness due to poor illness prognosis were also reported (Xu et al. Reference Xu, Luckett and Lovell2022). Other patients claimed that they were unclear about the direction and information of medication (Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012). Some patients also reported not taking their medications due to perceived negative opinions from others (Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011). A few patients mentioned that they could endure the symptoms (Davies et al. Reference Davies, Buchanan and Zeppetella2013; Thongkhamcharoen et al. Reference Thongkhamcharoen, Breaden and Agar2012). Financial distress (Bestvina et al. Reference Bestvina, Zullig and Rushing2014) and potential disruption to sleep schedule (Wright et al. Reference Wright, El-Jawahri and Temel2019) were also identified as issues associated with nonadherence to medications.

Integrative analysis

The triangulation of both qualitative and quantitative data showed that medication hesitancy and avoidance were related to the negative attitude toward medications, passive attitude toward their illness, inaccurate information about disease or medication, perceived negative opinions from others, and perception of symptoms as manageable, which altogether corresponded with all the TPB constructs (attitude, subjective norms, and perceived behavioral control).

Discussion

This systematic review focuses on medication hesitancy or avoidance as the behavior of interest. The data regarding patient perspective toward medication hesitancy or avoidance were extracted and were deductively analyzed using the TPB constructs. Most studies reported patient concerns were related to medication side effects, and they made their decision based on self or others’ experiences. This finding is similar to a previous study exploring older patients’ perspectives on cancer treatment (Puts et al. Reference Puts, Tapscott and Fitch2015). Moreover, perceiving that medications had more risks than benefits and negative medication experiences were found to be associated with poor adherence (Marshall and Given Reference Marshall and Given2018). Another systematic review identified that cancer treatment adherence correlated with multiple factors, such as patient-related factors, therapy-related factors, condition-related factors, health system factors, and socioeconomic factors (Puts et al. Reference Puts, Tu and Tourangeau2014).

Besides patient attitude, subjective norms, perceived behavioral control, and behavioral intention, there are also background factors that were not captured by the TPB framework, which would indirectly affect the intention and behavior of taking medications. In another systematic review, multiple factors were identified to influence adherence to cancer treatments, including patient-related factors, therapy-related factors, condition-related factors, health system factors, and socioeconomic factors (Puts et al. Reference Puts, Tu and Tourangeau2014). In the present review, some patients expressed preference for using complementary or natural medications rather than those that were prescribed by health-care professionals, which was in alignment with their cultural values. Other patient-related factors that have previously been reported include life values, demographic characteristics, personality traits, and intelligence (Ajzen Reference Ajzen2020).

In terms of existential perspectives on life, patients were reported to be satisfied with their lives and ready for death (Huijer and van Leeuwen Reference Huijer and van Leeuwen2000). In fact, some patients were noted to express other priorities such as spending more quality time with their families and doing things that they enjoyed, while others preferred distractions from their disease management (Cervantes et al. Reference Cervantes, Jones and Linas2017; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000), and therefore, they preferred not taking medications. In addition, other barriers such as the cost of medications (Bestvina et al. Reference Bestvina, Zullig and Rushing2014; Subramanian et al. Reference Subramanian, Ramakrishnan and Rathnam2011), skills or equipment for administering medications (Rafii et al. Reference Rafii, Taleghani and Khatooni2021), and adverse effects on sleep schedule (Wright et al. Reference Wright, El-Jawahri and Temel2019) have been previously reported to be associated with medication hesitancy (Ajzen Reference Ajzen1991).

Previous studies have also suggested that gender, marital status, race, stage of disease, and performance status can be used to predict treatment refusal in older patients with cancer (Dias et al. Reference Dias, Bezerra and Barra2021; Puts et al. Reference Puts, Tu and Tourangeau2014). Although some patients simply felt wearied of trying medications based on their past experience (Beaussant et al. Reference Beaussant, Mathieu-Nicot and Pazart2015), the importance of social learning in palliative care also emerged in this review as patients associated the experiences of other people with their own hesitation to take medications (Adam et al. Reference Adam, Clausen and Hall2015; Cervantes et al. Reference Cervantes, Jones and Linas2017; Huijer and van Leeuwen Reference Huijer and van Leeuwen2000; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Reid et al. Reference Reid, Gooberman-Hill and Hanks2008; Sand et al. Reference Sand, Harris and Rosland2009). This included others’ experiences of developing drug addiction (Adam et al. Reference Adam, Clausen and Hall2015; Rafii et al. Reference Rafii, Taleghani and Khatooni2021; Sand et al. Reference Sand, Harris and Rosland2009) or witnessing other’s experiences of deterioration caused by opioids (Reid et al. Reference Reid, Gooberman-Hill and Hanks2008). The significance of social learning was also highlighted by patients as they applied others’ experiences as part of their own decision-making process (Okuboyejo et al. Reference Okuboyejo, Mbarika and Omoregbe2018). Medication avoidance was further compounded by inaccurate information or assumptions held about their disease prognosis and/or medication-related issues (such as complex dosing regimen or adverse effects). This has been associated with the lack of or poor communication between patients and health-care professionals and potentially remedied by training in provider–patient communication skills as well as delivering interventions that are tailored to the individuals’ reasons for nonadherence and facilitates shared decision-making (Butow and Sharpe Reference Butow and Sharpe2013; DiMatteo et al. Reference DiMatteo, Reiter and Gambone1994; Zolnierek and Dimatteo Reference Zolnierek and Dimatteo2009).

According to our findings, patients still wished to use medications judiciously and did not want to develop tolerance or dependence even during the end-of-life phase. Some patients bore false hope of recovery to the detriment of their health-related quality of life, which may be remedied by improving communication between patients and health-care professionals and addressing ethical issues surrounding the withholding of information about survival (Back Reference Back2020). The noncompliant behavior that is associated with acceptance of death by patients may signal that care toward the end of life may be over-medicalized, which is a finding that has previously been supported by a review that explored the prescribing of potentially inappropriate medications in palliative cancer patients (Lindsay et al. Reference Lindsay, Dooley and Martin2014).

The strength of this review includes triangulation data from themes that have emerged from qualitative studies with quantitative studies, which enhanced the validity of the results. Our review also involved studies from different countries that capture a variety of patient perspectives. However, the majority of included studies involved people diagnosed with cancer; therefore, our findings may not be broadly generalizable to other people with different life-limiting illnesses. Future research could include the investigation of other factors that are not captured by the TPB framework beyond attitude, social norms, and perceived behavioral control.

Conclusion

This review highlighted that patients in the palliative care setting will intentionally avoid medications for a variety of reasons related to their attitudes toward the medication and illness, which reinforce the importance of discussing medication regimens, the trajectory of illness, and shared decision-making. Furthermore, some patient decisions appear to be made based on “false hope” despite the absence of a favorable prognosis; hence, clear and accurate information should be provided to the patient wherever possible to facilitate informed decision-making.

Acknowledgments

The authors are grateful for the assistance with search strategy formulation provided by librarian Bernadette Carr. This research did not receive any specific grant from funding agencies in public, commercial, or not-for-profit sectors.

Conflicts of interest

The authors declare no conflicts of interest.

Appendix

Appendix A. Search strategy in electronic databases

CINAHL

  1. 1. “drug*” (1021627)

  2. 2. “medication*” (183866)

  3. 3. “opioid*” (48393)

  4. 4. “morphine” (12637)

  5. 5. “cannabis” (16299)

  6. 6. “CBD” (1894)

  7. 7. “THC” (1359)

  8. 8. “benzodiazepine*” (9835)

  9. 9. “midazolam” (4202)

  10. 10. “clonazepam” (777)

  11. 11. “diazepam” (2272)

  12. 12. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 (1128359)

  13. 13. “refus*” (19335)

  14. 14. “hesitan*” (2277)

  15. 15. “barrier*” (109230)

  16. 16. “non-complian*” (2344)

  17. 17. “noncomplian*” (3189)

  18. 18. “non-adheren*” (3591)

  19. 19. “nonadheren*” (3906)

  20. 20. 13 or 14 or 15 or 16 or 17 or 18 or 19 (140706)

  21. 21. 12 and 20 (26728)

  22. 22. “palliat*” (59434)

  23. 23. Hospice* OR (MH “hospice care”) (34457)

  24. 24. “end of life care” (48023)

  25. 25. (MH “terminal care”) (19707)

  26. 26. 22 or 23 or 24 or 25 (83134)

  27. 27. “patient autonomy” (7901)

  28. 28. “patient preference*” (5831)

  29. 29. “patient decision making” (8051)

  30. 30. “patient perspective*” (2843)

  31. 31. 27 or 28 or 29 or 30 (23,398)

  32. 32. 21 and 26 and 31 (18)

Embase

  1. 1. (cannabis or CBD or THC or benzodiazepine* or midazolam or clonazepam or diazepam or opioid* or morphine or medication* or drug*).mp. (12546154)

  2. 2. (refus* or hesitan* or barrier* or non-complian* or noncomplian* or non-adheren* or nonadheren*).mp. (616871)

  3. 3. palliat*.mp. (185163)

  4. 4. hospice/ or hospice*.mp. (30624)

  5. 5. “end of life care”.mp. or Terminal care/ (43955)

  6. 6. (patient and (autonomy or preference* or decision making or perspective*)).mp. (385360)

  7. 7. 1 and 2 (237382)

  8. 8. 3 or 4 or 5 (222460)

  9. 9. 6 and 7 and 8 (406)

MEDLINE

  1. 1. (cannabis or CBD or THC or benzodiazepine* or midazolam or clonazepam or diazepam or opioid* or morphine or medication* or drug*).mp. (6620256)

  2. 2. (refus* or hesitan* or barrier* or non-complian* or noncomplian* or non-adheren* or nonadheren*).mp. (468561)

  3. 3. palliat*.mp. (107971)

  4. 4. hospice/ or hospice*.mp. (19563)

  5. 5. “end of life care”.mp. or Terminal care/ (35915)

  6. 6. (patient and (autonomy or preference* or decision making or perspective*)).mp. (188351)

  7. 7. 1 and 2 (120273)

  8. 8. 3 or 4 or 5 (137882)

  9. 9. 6 and 7 and 8 (104)

PsycINFO

  1. 1. (cannabis or CBD or THC or benzodiazepine* or midazolam or clonazepam or diazepam or opioid* or morphine or medication* or drug*).mp. (484408)

  2. 2. (refus* or hesitan* or barrier* or non-complian* or noncomplian* or non-adheren* or nonadheren*).mp. (113686)

  3. 3. palliat*.mp. (18323)

  4. 4. hospice/ or hospice*.mp. (6198)

  5. 5. “end of life care”.mp. or Terminal care/ (5373)

  6. 6. (patient and (autonomy or preference* or decision making or perspective*)).mp. (47955)

  7. 7. 1 and 2 (17878)

  8. 8. 3 or 4 or 5 (21630)

  9. 9. 6 and 7 and 8 (26)

Appendix B

Table B1. Critical appraisal tool for qualitative studies using Mixed Method Appraisal Tool

Note: Y, yes; N, no; and UKN, unknown.

Table B2. Critical appraisal tool for quantitative descriptive studies using Mixed Method Appraisal Tool

Note: Y, yes; N, no; and UKN, unknown.

Table B3. Critical appraisal tool for mixed methods studies using Mixed Method Appraisal Tool

Note: Y, yes; N, no; and UKN, unknown.

Footnotes

Note: Y, yes; N, no; and UKN, unknown.

Note: Y, yes; N, no; and UKN, unknown.

Note: Y, yes; N, no; and UKN, unknown.

References

Adam, R, Clausen, MG, Hall, S, et al. (2015) Utilising out-of-hours primary care for assistance with cancer pain: A semi-structured interview study of patient and caregiver experiences. British Journal of General Practice 65(640), e754–e760. doi:10.3399/bjgp15X687397CrossRefGoogle ScholarPubMed
Ajzen, I (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes 50(2), 179–211. doi:10.1016/0749-5978(91)90020-TCrossRefGoogle Scholar
Ajzen, I (2020) The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies 2(4), 314–324. doi:10.1002/hbe2.195CrossRefGoogle Scholar
Al-Mahrezi, A and Al-Mandhari, Z (2016) Palliative care: Time for action. Oman Medical Journal 31(3), 161–163. doi:10.5001/omj.2016.32CrossRefGoogle ScholarPubMed
Apolone, G, Corli, O, Caraceni, A, et al. Cancer Pain Outcome Research Study Group (CPOR SG) Investigators (2009) Pattern and quality of care of cancer pain management. Results from the Cancer Pain Outcome Research Study Group. British Journal of Cancer 100(10), 1566–1574. doi:10.1038/sj.bjc.6605053CrossRefGoogle ScholarPubMed
Armitage, CJ and Conner, M (2001) Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology 40(Pt 4), 471–499. doi:10.1348/014466601164939CrossRefGoogle ScholarPubMed
Back, AL (2020) Patient-clinician communication issues in palliative care for patients with advanced cancer. Journal of Clinical Oncology 38(9), 866–876. doi:10.1200/JCO.19.00128CrossRefGoogle ScholarPubMed
Beaussant, Y, Mathieu-Nicot, F, Pazart, L, et al. (2015) Is shared decision-making vanishing at the end-of-life? A descriptive and qualitative study of advanced cancer patient’s involvement in specific therapies decision-making. BMC Palliative Care 14, . doi:10.1186/s12904-015-0057-4CrossRefGoogle ScholarPubMed
Bestvina, CM, Zullig, LL, Rushing, C, et al. (2014) Patient-oncologist cost communication, financial distress, and medication adherence. Journal of Oncology Practice 10(3), 162–167. doi:10.1200/JOP.2014.001406CrossRefGoogle ScholarPubMed
Butow, P and Sharpe, L (2013) The impact of communication on adherence in pain management. Pain 154, S101–S107. doi:10.1016/j.pain.2013.07.048CrossRefGoogle ScholarPubMed
Cervantes, L, Jones, J, Linas, S, et al. (2017) Qualitative interviews exploring palliative care perspectives of Latinos on dialysis. Clinical Journal of the American Society of Nephrology 12(5), 788–798. doi:10.2215/CJN.10260916CrossRefGoogle ScholarPubMed
Covidence (2022) Covidence systematic review software. Melbourne: Veritas Health Innovation.Google Scholar
Davies, A, Buchanan, A, Zeppetella, G, et al. (2013) Breakthrough cancer pain: An observational study of 1000 European oncology patients. Journal of Pain & Symptom Management 46(5), 619–628. doi:10.1016/j.jpainsymman.2012.12.009CrossRefGoogle ScholarPubMed
Dias, LM, Bezerra, MR, Barra, WF, et al. (2021) Refusal of medical treatment by older adults with cancer: A systematic review. Annals of Palliative Medicine 10(4), 4868–4877. doi:10.21037/apm-20-2439CrossRefGoogle ScholarPubMed
DiMatteo, MR, Reiter, RC and Gambone, JC (1994) Enhancing medication adherence through communication and informed collaborative choice. Health Communication 6(4), 253–265. doi:10.1207/s15327027hc0604_2CrossRefGoogle Scholar
EndNote (2013) EndNote. Philadelphia, PA: Clarivate.Google Scholar
Fine, RL (2007) Ethical and practical issues with opioids in life-limiting illness. Baylor University Medical Center Proceedings 20(1), 5–12. doi:10.1080/08998280.2007.11928223CrossRefGoogle ScholarPubMed
Harasym, P, Brisbin, S, Afzaal, M, et al. (2020) Barriers and facilitators to optimal supportive end-of-life palliative care in long-term care facilities: A qualitative descriptive study of community-based and specialist palliative care physicians’ experiences, perceptions and perspectives. BMJ Open 10(8), . doi:10.1136/bmjopen-2020-037466CrossRefGoogle Scholar
Hong, QN, Fàbregues, S, Bartlett, G, et al. (2018) The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information 34(4), 285–291. doi:10.3233/EFI-180221CrossRefGoogle Scholar
Huijer, M and van Leeuwen, E (2000) Personal values and cancer treatment refusal. Journal of Medical Ethics 26(5), 358–362. doi:10.1136/jme.26.5.358CrossRefGoogle ScholarPubMed
Jin, J, Sklar, GE, Oh, VMS, et al. (2008) Factors affecting therapeutic compliance: A review from the patient’s perspective. Therapeutics and Clinical Risk Management 4(1), 269–286. doi:10.2147/TCRM.S1458Google ScholarPubMed
Kam, LYK, Knott, VE, Wilson, C, et al. (2012) Using the theory of planned behavior to understand health professionals’ attitudes and intentions to refer cancer patients for psychosocial support. Psycho-Oncology 21(3), 316–323. doi:10.1002/pon.1897CrossRefGoogle ScholarPubMed
Kopelowicz, A, Zarate, R, Wallace, CJ, et al. (2015) Using the theory of planned behavior to improve treatment adherence in Mexican Americans with schizophrenia. Journal of Consulting and Clinical Psychology 83(5), 985–993. doi:10.1037/a0039346CrossRefGoogle ScholarPubMed
Lin, CC, Wang, P, Lai, YL, et al. (2000) Identifying attitudinal barriers to family management of cancer pain in palliative care in Taiwan. Palliative Medicine 14(6), 463–470. doi:10.1191/026921600701536381CrossRefGoogle ScholarPubMed
Lindsay, J, Dooley, M, Martin, J, et al. (2014) Reducing potentially inappropriate medications in palliative cancer patients: Evidence to support deprescribing approaches. Supportive Care in Cancer 22(4), 1113–1119. doi:10.1007/s00520-013-2098-7CrossRefGoogle ScholarPubMed
Lo, B and Jonsen, AR (1980) Ethical decisions in the care of a patient terminally ill with metastatic cancer. Annals of Internal Medicine 92(1), 107–111. doi:10.7326/0003-4819-92-1-107Google ScholarPubMed
Marshall, VK and Given, BA (2018) Factors associated with medication beliefs in patients with cancer: An integrative review. Oncology Nursing Forum 45(4), 508–526. doi:10.1188/18.ONF.508-526CrossRefGoogle ScholarPubMed
Moher, D, Liberati, A, Tetzlaff, J, et al. (2009) Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 339, . doi:10.1136/bmj.b2535CrossRefGoogle ScholarPubMed
Moran, T, Zentner, D, Eastman, P, et al. (2019) Patients’ perceptions of opioids postprescription for breathlessness in advanced COPD. Respirology 24(Supplement 1), . doi:10.1111/resp.13491Google Scholar
NVivo (2020) NVivo (released in March 2020). QSR International Pty Ltd.Google Scholar
Okuboyejo, S, Mbarika, V and Omoregbe, N (2018) The effect of self-efficacy and outcome expectation on medication adherence behavior. Journal of Public Health in Africa 9(3), . doi:10.4081/jphia.2018.826CrossRefGoogle ScholarPubMed
Persaud-Sharma, D, Kashan, S, Berkman, A, et al. (2018) Impact of culturally based medicine on patient decision-making. Progress in Palliative Care 26(5–6), 223–226. doi:10.1080/09699260.2019.1581461CrossRefGoogle Scholar
Price, DM, Strodtman, LK, Montagnini, M, et al. (2019) Health professionals perceived concerns and challenges in providing palliative and end-of-life care: A qualitative analysis. American Journal of Hospice & Palliative Medicine 36(4), 308–315. doi:10.1177/1049909118812193CrossRefGoogle ScholarPubMed
Puts, MTE, Tapscott, B, Fitch, M, et al. (2015) A systematic review of factors influencing older adults’ decision to accept or decline cancer treatment. Cancer Treatment Reviews 41(2), 197–215. doi:10.1016/j.ctrv.2014.12.010CrossRefGoogle ScholarPubMed
Puts, MTE, Tu, HA, Tourangeau, A, et al. (2014) Factors influencing adherence to cancer treatment in older adults with cancer: A systematic review. Annals of Oncology 25(3), 564–577. doi:10.1093/annonc/mdt433CrossRefGoogle ScholarPubMed
Rafii, F, Taleghani, F and Khatooni, M (2021) Barriers to effective cancer pain management in home setting: A qualitative study. Pain Management Nursing: Official Journal of the American Society of Pain Management Nurses 22(4), 531–538. doi:10.1016/j.pmn.2020.11.003CrossRefGoogle ScholarPubMed
Reid, CM, Gooberman-Hill, R and Hanks, GW (2008) Opioid analgesics for cancer pain: Symptom control for the living or comfort for the dying? A qualitative study to investigate the factors influencing the decision to accept morphine for pain caused by cancer. Annals of Oncology 19(1), 44–48. doi:10.1093/annonc/mdm462CrossRefGoogle ScholarPubMed
Sand, AM, Harris, J and Rosland, JH (2009) Living with advanced cancer and short life expectancy: Patients’ experiences with managing medication. Journal of Palliative Care 25(2), 85–91. doi:10.1177/082585970902500202CrossRefGoogle ScholarPubMed
Subramanian, KKK, Ramakrishnan, V and Rathnam, KK (2011) Refusal of palliative chemotherapy treatment in advanced lung cancer patients – Perspective from a tertiary care centre in South India. Journal of Thoracic Oncology 6(6), S1488–S1489. doi:10.1097/01.JTO.0000399290.73317.ebGoogle Scholar
Thongkhamcharoen, R, Breaden, K, Agar, M, et al. (2012) Dyspnea management in palliative home care: A case series in Malaysia. Indian Journal of Palliative Care 18(2), 128–133. doi:10.4103/0973-1075.100835CrossRefGoogle ScholarPubMed
Whittemore, R and Knafl, K (2005) The integrative review: Updated methodology. Journal of Advanced Nursing 52(5), 546–553. doi:10.1111/j.1365-2648.2005.03621.xCrossRefGoogle ScholarPubMed
Wright, EM, El-Jawahri, A, Temel, JS, et al. (2019) Patient patterns and perspectives on using opioid regimens for chronic cancer pain. Journal of Pain and Symptom Management 57(6), 1062–1070. doi:10.1016/j.jpainsymman.2019.02.023CrossRefGoogle ScholarPubMed
Xu, X, Luckett, T, Lovell, M, et al. (2022) Cultural factors affecting Chinese migrants’ perceptions and responses to cancer pain and its pharmacological management: A convergent mixed-method study. Palliative & Supportive Care, 1–9. doi:10.1017/S1478951522000360.Google Scholar
Zeng, L, Lytvyn, L, Wang, X, et al. (2021) Values and preferences towards medical cannabis among people living with chronic pain: A mixed-methods systematic review. BMJ Open 11(9), . doi:10.1136/bmjopen-2021-050831CrossRefGoogle ScholarPubMed
Zolnierek, KB and Dimatteo, MR (2009) Physician communication and patient adherence to treatment: A meta-analysis. Medical Care 47(8), 826–834. doi:10.1097/MLR.0b013e31819a5accCrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. PRISMA flow diagram.

Figure 1

Table 1. Characteristics of included studies

Figure 2

Table 2. The perspective of individuals towards medication hesitancy or noncompliance based on the TPB model

Figure 3

Table B1. Critical appraisal tool for qualitative studies using Mixed Method Appraisal Tool

Figure 4

Table B2. Critical appraisal tool for quantitative descriptive studies using Mixed Method Appraisal Tool

Figure 5

Table B3. Critical appraisal tool for mixed methods studies using Mixed Method Appraisal Tool