Abstract
Background:
Medication adherence is a primary determinant of treatment success in hypertensive patients. One of the challenges for healthcare providers that has received little attention is the impact of patients’ social supports on medication adherence.
Objective:
This review evaluates the impact of patients’ social supports on medication adherence in hypertensive patients.
Methods:
A systematic review methodology was used. Pubmed, CINAHL, Embase, and PsycINFO databases were searched systematically for relevant articles. The outcome measure in the studies was medication adherence in hypertension.
Results:
From 1155 articles, 238 were retained for further assessment, and finally, 14 met the inclusion criteria. Statistically significant positive associations between medication adherence and social support were found in nine studies (p<0.05).
Conclusions:
This review evaluated the impact of social support on medication adherence and highlighted gaps in the literature regarding the impact of social support on adherence. Family members or peer support may promote better adherence in some patient groups. This review suggests that healthcare providers may need to consider whether patients have appropriate social supports in place which will assist them adhering to and benefiting from treatment recommendations.
Keywords: Social Support; Medication Adherence; Health Personnel; Hypertension; Outcome Assessment, Health Care; Systematic Reviews as Topic; Australia
INTRODUCTION
Chronic illnesses are one of the major health challenges worldwide, with numbers of people affected steadily increasing. Many of the most prevalent chronic illnesses, such as hypertension, diabetes, arthritis, and asthma involve a significant management component, that includes medication adherence, physical activity, and specific disease-related behaviours.1
Hypertension is a worldwide public-health challenge and is a major modifiable risk factor in cardiovascular related disease and death.2 Uncontrolled hypertension is believed to be the cause of 13.5% of premature deaths and 6% of lost years of life due to death or disability.3
Non-adherence to medications is well established as an important contributor to poorly controlled hypertension.4 Multiple factors contribute to medication non-adherence including poverty, low level of education, unemployment, and lack of social support.5 Patients from minority groups may find that adherence to medications is particularly challenging particularly if coupled with poor living conditions.6 These patients report lower involvement in medical decision making, poorer communication with physicians, lower levels of trust in physicians, and lower levels of satisfaction with care, and lower levels of adherence to medication regimen.7
Although effective communication between healthcare providers and patients makes a major contribution to medication adherence, adequate social support and interaction between patients and their families has been shown to support the uptake of positive health initiatives, and improve the quality of patients’ lives.8 In addition to family support, social support can also be provided by friends and peers, as well as healthcare professionals and organisations.9 Thus, social support is multifaceted and may help patients remain active in their care when faced with physical, social and economic vulnerabilities.10
Family members can support hypertensive patients in several ways including, encouraging them positively, monitoring health, sharing information, helping in moments of crisis and health care generally, including care with diet, physical exercise, and adherence to a medication regimen. In addition, family can transmit strength and courage to patients, which make them feel safe and supported in the illness experience.11 Patients receiving support from family members may feel a greater sense of self-worth, and this can encourage optimism about treatment.12 Family members regulate each other’s behaviours and provide information and encouragement to behave in healthier ways and to more effectively utilize health care services.13
A previous systematic review evaluated the impact of social support on various health outcomes in patients with diabetes mellitus type 2, and found that increasing social support yielded favourable results including, increased self-management, medication adherence, and adoption of nutritional advice and active lifestyles.14 Another systematic review that examined observational studies also found social support has a positive impact on the management of diabetes mellitus type 2 and patients’ adherence to the healthcare advice.15
There is some evidence to suggest that healthcare systems, educational programs and participating in various groups are effective in improving hypertension control and treatment adherence.16 However, with increasing pressure on healthcare systems, interventions become expensive to provide, may be too rigid and risk not engaging some patients from diverse backgrounds. In contrast, friends or family support is ‘free’, readily available and specific to the individual.15 Evaluating the effect of social support on hypertensive patients may be useful in enhancing medication adherence.
An earlier review has evaluated the impact of social support on medication adherence, however it included only articles published before 2010.17 Since 2010, several studies have been published that have also examined the impact of social support on medication adherence. Therefore, in this review, we updated the earlier review to consider findings from more recent literature about social support and medication adherence.
A meta-analysis examined the impact of social support via marital status on medication adherence in patients with hypertension.18 Therefore, this review aimed to evaluate the impact of a broad range of social support provided by family, friends and the healthcare system on medication adherence in patients with hypertension.
METHODS
Search protocol and design
This review follows The Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA) guidelines.19 To identify the impact of social support on medication adherence in patients with hypertension, we searched the electronic databases (CINHAL, PubMed, Embase, and PsycINFO) extensively and systematically. Table 1 shows the combination of search terms that were used to source the relevant literature. The search was carried out in December 2020, updated in May 2021, and included papers reported in the data bases to the first of May 2021. The search was limited to include articles published from January 2010 to the first of May 2021; a previous systematic review that evaluated the impact of social support on medication adherence included articles published before 2010.17
Table 1. Review search terms and databases reviewed.
Database | Search terms |
---|---|
PubMed | ((((((therapeutic adherence) OR (medication compliance)) OR (medication adherence)) OR (treatment adherence))) AND ((((((friend support) OR (peer support)) OR (family involvement)) OR (family engagement)) OR (family support)) OR (social support))) AND (hypertension) |
CINAHL with full text | ((social support OR (family support or family involvement or family engagement) OR peer support) AND (medication adherence OR medication compliance OR therapeutic adherence OR treatment adherence) AND hypertension |
Embase | (therapeutic AND adherence OR (medication AND adherence) OR ’medication compliance’ OR (treatment AND adherence) AND (peer AND support OR (social AND support) OR ’family support’ OR (friend AND support) AND hypertension |
PsycINFO | (((social support) OR (family social support) OR (friend support) OR (peer support)) AND (hypertension) AND (((medication AND adherence) OR (therapeutic adherence AND compliance)) |
Study selection
Titles and abstracts were screened initially to select the studies that met the inclusion criteria. Subsequently, copies of the full text papers deemed to be potentially relevant, were independently fully analyzed. Two authors assessed the eligibility of the final articles. Any disagreements were resolved by reaching consensus with the assistance of a third author. Reference lists of articles included were searched manually and one further reference was retrieved.
Inclusion criteria
Articles were included if: (1) they focused on social support; (2) included a clear method of how medication adherence was measured; (3) addressed the association of social support and medication adherence; and (4) included hypertension.
Exclusion criteria
Articles were excluded if: (1) they were not peer-reviewed articles; (2) published before 2010; (3) written in a language other than English; (4) focused on illnesses other than hypertension; (5) participants were not adults; and (6) measured factors other than social support.
Data extraction process
Data were extracted from each eligible paper. Demographics, design of the study and the tools used to measure medication adherence are shown in Table 2. The social support interventions and tools which evaluate social support are presented in Table 3. A summary of the major findings and the direction of associations of medication adherence with social support for the included studies are shown in Table 4.
Table 2. Characteristics of the included studies.
Ref | Design of study | Sociodemographic characteristics | Measurement of medication adherence | ||||
---|---|---|---|---|---|---|---|
Age (M) | Sample size | % Male | Participants origin/cultural groups | Duration of hypertension | |||
22 | Cross-sectional study | >28y | 538 | 39.1% | Palestinian citizens- Gaza | >1 year | Morisky Medication Adherence Scale (MMAS-8) |
30 | Cross-sectional study | 57.6 | 989 | 47.3% | Ethiopian- Ethiopia | - | Morisky Medication Adherence Scale (MMAS-8) |
8 | Descriptive study | 64.9 | 259 | 41.3% | Turkish patients- Turkey | >1 year | Medication Adherence Self-Efficacy Scale |
27 | Cross-sectional study | 72.1 | 150 | 44% | Older patients hospitalized in Poland | > 6 years | Hill-Bone Compliance to High Blood Pressure Therapy Scale (Hill-Bone CHBPTS) |
24 | Cluster Randomized trial | 67.3 | 455 | 47.6% | Rural Chinese patients-China | - | Face to face interview questions after 6-12 months about missing pills or not taking prescribed medications |
10 | Cross-sectional questionnaire-guided interview | 62.8 | 250 | 43.2% | Nigerian patients in Nigeria | - | Morisky Modified Adherence Scale (MMAS-4) |
21 | Descriptive cross-sectional study | 60.6 | 420 | 49% | Nigerian patients in Nigeria | <1 y; 10.2% 1-5y; 55.1% 6-10y; 22.1% >10y; 12.5% | Estimated manually by means of patient self-report |
26 | Cluster Randomized trial | >50y | 264 | 52% | Patients from multi-center in Spain | 11 y | Haynes-Sackett test |
23 | Randomized clinical trial study | >18 y | 64 | - | Iranian patients in Iran | - | Ten questions within a questionnaire about medication adherence |
25 | Cross-sectional study | 62.64 ± 10.66 | 397 | 33.5% | Turkish patients in Turkey | Average of 9.6 y | Medication Adherence Self-Efficacy Scale |
28 | Cross-sectional study | 49y | 120 | 22.5% | African American- USA | Average of 8.4 y | Hill-Bone Compliance to High Blood Pressure Therapy Scale |
29 | Randomized controlled trial | 21-85y | 584 | 45.7% | American patients in USA | - | Morisky self-reported adherence questionnaire |
31 | Cross-sectional study | 57.6±13.5 | 300 | 59% | Malaysian patients in Malysia | >12 months | 8-item Morisky Medication Adherence Scale |
32 | Cross- sectional study | >35 y | 200 | 39.5% | Indonesian patients in Indonesia | - | Medication adherence questionnaire addressing the reasons for non-adherence |
Ref: bibliographic reference of the study
Table 3. A summary of the interventions and tools used to provide or measure social support.
Ref | Social support evaluation tools | Social support interventions |
---|---|---|
22 | A questionnaire- Health Beliefs Model (HBM) constructs: perceived barriers and benefits | Not applicable |
30 | Not applicable | Engaging family members in the treatment plan |
8 | A questionnaire- Multidimensional Perceived Social Support Scale (MSPSS) | Not applicable |
27 | A questionnaire- Living with a family member or not | Not applicable |
24 | Not applicable | (1) A family member was designated as a supervisor; (2) trained the supervisor and educated them about hypertension, treatment, and side effects; (3) designated the supervisor as a reminder for the patient to take the medications and measure blood pressure |
10 | A questionnaire - Most available source of social support | Not applicable |
21 | A questionnaire - Perceived Social Support Family Scale (PSS-FS) | Not applicable |
26 | Not applicable | A family member was designated to support adherence behavior, and provided educational information to patients |
23 | Not applicable | (1) Educated peers about hypertension, health in general , medications, diet and excercises; (2) Designated them as leaders for patients |
25 | A questionnaire- Multidimensional Perceived Social Support Scale (MSPSS) | Not applicable |
28 | A questionnaire- Enhancing Recovery in Coronary Heart Disease Social Support Inventory | Not applicable |
29 | Not applicable | Pharmacists support by providing intensified hypertension management and drug adherence counseling to patients in the intervention group |
31 | Multidimensional Scale of Perceived Social Support | Not applicable |
32 | A questionnaire to report receiving family supoport | Not applicable |
Table 4. Summary of associations between social support and medication adherence.
Ref | Included factor | Association between factors and medication adherence |
---|---|---|
22 | Social support-Family | Significant positive association between social support and medication adherence (OR, 2.87; 95%CI, 2.66–3.09) |
Social support- Healthcare support | No significant association between healthcare support and medication adherence (OR, 1.18; 95%CI, 0.75-1.86) | |
30 | Social support-Family | Significant positive association between social support and medication adherence (OR, 1.65; 95%CI, 1.23-2.22) |
8 | Social support- Family | Significant positive associations between family support and medication adherence (r=0.34, p=0.0001) |
Social support- Friends | Significant positive association between friends support and medication adherence (r=0.30, p=0.0001) | |
27 | Social support-Family | Significant positive association between social support and medication adherence (p<0.05) |
24 | Social support-Family | Significant positive association between social support and medication adherence (OR: 1.74, 95%CI: 0.91–3.32) |
10 | Social support-Family support | No significant association between family support and medication adherence (p=0.135) |
Social support- Financial | No significant association between financial support and medication adherence (p=0.44) | |
21 | Social support-Family | Significant positive association between social support and medication adherence (p<0.05) |
26 | Social support-Family | Significant positive association between social support and medication adherence (OR: 1.91, 95%CI: 1.19-3.05) |
23 | Social support- Peer | Significant positive association between peer support and medication adherence (p<0.001) |
25 | Social support- Family | Significant positive association between family support and medication adherence (p<0.05) |
Social support- Friends | Significant positive association between friends support and medication adherence (p<0.05) | |
28 | Social support | No significant association between social support and medication adherence (p>0.05) |
29 | Social support | Significant positive association between social support and medication adherence (p<0.05) |
31 | Social support | Significant positive association between social support and medication adherence (r=0.181, p=0.003) |
32 | Social support- Family | Significant positive association between family support and medication adherence (p=0.000) |
Risk of bias in individual studies
Mixed Methods Appraisal Tool (MMAT) version 2018 was used to assess each of the eligible studies included in this review.20 For randomized controlled trials, the following five components were assessed: (1) if the randomization was appropriately performed (2) if the groups were comparable at baseline (3) if there were complete outcome data (4) if the outcome assessors were blinded to the intervention provided; (5) if the participants adhered to the assigned intervention. For quantitative descriptive studies, the following five criteria were assessed: (1) if the strategy of selecting sample was relevant to address the research question; (2) if the sample was representative of the target population; (3) if the measurements were appropriate; (4) if the risk on non-response bias was low; and (5) if the statistical analyses appropriately answered the research question. Two researchers independently scored articles, and scores were compared to identify differences, which were resolved through discussion. The score was assigned for each paper in this review based on the percentage of criteria that were met for the relevant study design. Then, papers were categorized into one of three categories, where low quality was considered to be a score between 0% and 40%, medium quality between 41% and 70%, and high quality between 71% and 100%.
RESULTS
A total of 1,155 articles were located via the literature search and the titles and abstracts of the 834 articles were reviewed after removing 321 duplicates. A detailed assessment of 238 full-text articles resulted in the elimination of additional 225 articles. A final set of 14 articles that met the inclusion criteria were selected. Figure 1 shows PRISMA Flow Chart that describes article screening and exclusion process in detail.
Ten out of fourteen studies selected were cross-sectional, including surveys, another four studies were interventional randomized controlled trials. Family was the most frequently investigated provider of support reported in 10 of the studies (Table 2).
Two studies were conducted in Nigeria, two in Middle-Eastern countries, one in China, two in Turkey, one in Spain, one in Poland, two in the United States, one in Ethiopia, one in Malaysia, and one in Indonesia (Table 2).8,10,21-32
Fourteen studies evaluated the impact of social support on medication adherence; ten cross-sectional studies and four interventional studies.8,10,22-32 The cross-sectional studies included in this study used different scales and questionnaires to measure social support as shown in Table 3, while in the interventional studies, family members, friends or pharmacists were designated as supervisors of hypertensive patients. Family members or friends educated patients about the illness and medications, reminded them to take medications, provided additional health information, and supported patient behaviour (Table 3).
Different tools were used to measure social support including, Health beliefs Model Construct, Multidimensional Perceived Social Support Scale, Perceived Social Support Family Scale, and Enhancing Recovery in Coronary Heart Disease Social Support Inventory. In two studies, questionnaires were used to ask the participants about living with one or more of family members, or about the most available source of social support (Table 3). In addition, medication adherence was measured using various self-report measures (Table 2).
The most frequently examined support was family support. Nine studies found positive association between family support and medication adherence. However, two cross sectional studies found no significant associations between family support and medication adherence.10,28 In one study (Adisa et al., 2017) family support was mentioned as the most accessible support, while the financial support was the most desired even though no significant association with medication adherence was reported.
Healthcare support was mentioned in two studies, one conducted in Ghaza and the second carried out in USA.22,29 There was no significant association between this source of support and adherence to medication in the first study, while positive but weak association was reported between social support provided by the pharmacists and medication adherence in the second study.22,29
The impact of peer support groups on medication adherence was reported in three studies; two cross sectional studies carried out in Turkey and one interventional study conducted in Iran.8,23,25 The findings of three studies consistently showed that peer support positively influenced medication adherence (Table 4).
Findings for a risk of bias across the quantitative descriptive and randomized controlled studies are presented in Table 5 and Table 6. All papers were of high quality. All descriptive studies included in this review provided a clear inclusion criterion and described the settings clearly. Moreover, all the included studies used appropriate statistical analyses. Reliable and valid questionnaires were used to measure the outcome variables. A representative sample was used in five of eight studies which reported the possibility of generalizing the findings (Table 5). In all the included randomized controlled studies, randomization was performed, the groups were compared at the baseline, and participants were described as adherent to the assigned interventions. However, in only one of four randomized studies were the assessors blinded to the interventions (Table 6).
Table 5. Risk of bias in quantitative descriptive studies.
Reference | 22 | 30 | 8 | 27 | 10 | 21 | 25 | 28 | 31 | 32 |
---|---|---|---|---|---|---|---|---|---|---|
Is the sampling strategy relevant to address the research question? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Is the sample representative of the target population? | Yes | Yes | No | No | Yes | Yes | Unk | Yes | No | Unk |
Are the measurements appropriate? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Is the risk of non-response bias low? | Unk | Yes | Yes | Unk | No | Yes | Unk | Yes | Unk | Unk |
Is the statistical analysis appropriate to answer the research question? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Score; % high quality | 90 | 100 | 90 | 80 | 90 | 100 | 80 | 100 | 80 | 80 |
Unk: Unknown
Table 6. Risk of bias in randomized controlled studies.
Methodological quality criteria | 25 | 27 | 24 | 29 |
---|---|---|---|---|
Is randomization appropriately performed? | Yes | Yes | Yes | Yes |
Are the groups comparable at baseline? | No | Yes | Yes | Yes |
Are there complete outcome data? | Yes | Yes | Yes | Yes |
Are outcome assessors blinded to the intervention provided? | No | Yes | No | No |
Did the participants adhere to the assigned intervention? | Yes | Yes | Yes | Yes |
Total score; % high quality | 80 | 100 | 90 | 90 |
DISCUSSION
The included papers in this review reported significant positive associations between social support and medication adherence in patients with hypertension. Managing and using social support is important for improving medication adherence and the successful longer-term management of hypertension.
In the fourteen papers reviewed, family support was the most predictable and favourable factor positively influencing medication adherence. Eleven studies found a positive impact of family support on medication adherence. The results of four interventional studies in this review demonstrated that emotional social support from family members, friends, or healthcare providers improved medication adherence either by educating the patients, supporting their behaviour, or supervising and reminding them to take medications. This implies that the presence of family or friends may potentially be sufficient to change medication taking behaviour. This also suggests the importance of healthcare providers’ support to ensure that patients are taking medications regularly.
Most of the reviewed studies focused on older adults. It should be considered that social support may be more important for older adults than for younger adults. Older adults are more likely to discuss health issues and symptoms with family members than with anyone else, family members often accompany older adults to medical appointments, and remind them to take their medications.1
In contrast with the previous findings, two cross-sectional studies in this review found no association of between family support and medication adherence.10,28 In addition, both financial and healthcare system support was not consistently associated with medication adherence.10,22
The reason for this discrepancy may due to the poor satisfaction of participants with the provided social support, or it may due to the relatively younger age of participants, in the other paper.10 These younger participants may have found social support less important than older participants.22
Different mechanisms have been reported in the literature to explain how social support influences adherence to medications including, buffering stress and allowing an individual to engage in more adaptive sick-role behaviours and take positive action toward adherence.33 In contrast, non-supportive social networks can alter health habits by introducing stress that compromises the attitudes and behaviours necessary for adherence.34
In literature, social support can be perceived differently based on the recipient’s gender, racial or ethnic background, or cultural practices.14 Socially isolated ethnic minority groups have been reported to be at increased risk of serious chronic illnesses and non-adherence behaviour to treatments.35 However, no attention has been paid in the included studies in this review to address issues in ethnic minority groups. This suggests the need for future interventional studies to target these populations to increase social support or strengthen family connectedness to improve medication adherence and overall health outcomes given the higher prevalence of hypertension and poorer health outcomes among some of these populations.
Although healthcare support is not as effective for patients as support obtained from their families and friends, healthcare providers should verify if patients are receiving the support they need and educate them about the importance of getting the adequate support to improve their overall health and treatment adherence. Healthcare providers may also direct patients without families or friends toward supportive resources and social workers.
This review suggests that healthcare providers need to assess the type and quality of patient’s relationships in order to assist them receiving the most benefit from medical treatment.36 Recognizing the sources of social support which represent the key driver for changing patients’ behaviour of taking medications would lead healthcare providers to align their health advice according to patients’ needs and the support they have.
In addition, researchers need to be mindful to the impact of advances in technology such as mobile texting, tablet applications and online communities in diminishing social distancing between patients and their families or friends, and ultimately this may improve medication adherence in patients with hypertension.14
The limitations of this review are that there were only a small number of studies that met the inclusion criteria and data interpretation can include some bias. Nevertheless, the studies included reported consistent finding in terms of the beneficial role that social support from families, friends and professionals can have on patient medication adherence.
CONCLUSIONS
This review is the first to evaluate the impact of social support on medication adherence in hypertensive patients. Lack of social support has not been thoroughly addressed in the literature in terms of the significant role in may play in poor medication adherence. The findings of this review highlight the gap in the literature about social support and the importance of understanding the effect of this factor on medication adherence. In addition, addressing social support in interventional studies are recommended. Healthcare providers need to understand the powerful effect social support from various sources can have on medication adherence when providing health advice to patients.
Footnotes
CONFLICT OF INTEREST
None.
FUNDING
None.
Contributor Information
Wejdan Shahin, School of Health & Biomedical Sciences, RMIT University. Bundoora, VIC (Australia). wejdan.shahin@rmit.edu.au.
Gerard A. Kennedy, School of Health & Biomedical Sciences, RMIT University. Bundoora, VIC (Australia). g.kennedy@federation.edu.au
Ieva Stupans, School of Health & Biomedical Sciences, RMIT University. Bundoora, VIC (Australia). ieva.stupans@rmit.edu.au.
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