| Literature DB >> 31303749 |
Wejdan Shahin1, Gerard A Kennedy1, Ieva Stupans1.
Abstract
BACKGROUND: Patients' adherence to therapeutic regimes may be influenced by subjective beliefs about chronic conditions. One of the challenges for health professionals in enhancing adherence is taking patients' understanding into account when giving health advice and/or providing medical treatment.Entities:
Keywords: asthma; chronic obstructive pulmonary disease; culture; diabetes mellitus; health beliefs; hypertension; medication adherence; perception of illness
Year: 2019 PMID: 31303749 PMCID: PMC6611718 DOI: 10.2147/PPA.S212046
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Review search terms and databases reviewed
| Database | Search terms |
|---|---|
| PubMed | (Medication compliance OR medication taking behaviour OR medication adherence) AND (health beliefs OR religious beliefs OR common sense model OR self-efficacy OR illness perception OR health literacy OR (“Health Knowledge, Attitudes, Practice”[Mesh]) OR (“Culture”[Mesh])) AND (asthma OR diabetes mellitus OR chronic obstructive pulmonary disease OR hypertension) |
| CINAHL with full text | Chronic obstructive pulmonary disease OR diabetes mellitus OR asthma OR hypertension AND medication adherence OR medication compliance OR medication persistence OR drug adherence OR drug compliance AND health beliefs OR illness perception OR patient beliefs OR cultural beliefs OR common sense model OR acculturation OR health knowledge OR health literacy OR self-efficacy OR religious beliefs |
| Embase | (“chronic obstructive pulmonary disease” OR “diabetes mellitus” OR asthma OR hypertension) AND (“medication adherence” OR “medication compliance” OR “medication persistence” OR “drug adherence” OR “drug compliance”) AND (“health beliefs” OR “illness perception” OR “patient beliefs” OR “cultural beliefs” OR “common sense model” OR acculturation OR “health knowledge” OR “health literacy” OR “self-efficacy” OR “religious beliefs”) |
| PsychINFO | Chronic obstructive pulmonary disease OR diabetes mellitus OR asthma OR hypertension AND medication adherence OR medication compliance OR medication persistence OR drug adherence OR drug compliance AND health beliefs OR illness perception OR patient beliefs OR cultural beliefs OR common sense model OR acculturation OR health knowledge OR health literacy OR self-efficacy OR religious beliefs |
Summary of associations between illness perceptions and medication adherence
| Study | Association between illness perceptions and medication adherence |
|---|---|
| Chen et al, 2011 | Significant association between illness perceptions variables and medication adherence: |
| Ashur et al, 2015 | Significant association between Illness perceptions variables and medication adherence: |
| Chen et al, 2009 | Significant associations between illness perceptions variables and medication adherence: |
| Mann et al, 2009 | Significant associations were found between illness perceptions variables and medication adherence: |
| Jacobs et al, 2014 | Significant moderate associations were found between illness perceptions variables and medication adherence: |
| Hsiao et al, 2012 | Significant associations between illness perceptions variables and the adherence: |
| Saarti et al, 2016 | No significant association between illness perceptions and medication adherence ( |
| Krauskopf et al, 2015 | No significant association between illness identity ( |
| Rajpura & Nayak, 2014 | Positive association between threatening perceived illness burden and medication adherence ( |
| Aflakseir, 2012 | Significant association between illness perceptions variables and the adherence: |
Measurement tools used for beliefs and medication adherence
| Bibliography | Chronic condition | Demographics characteristics | Measurement of beliefs | Measurement of medication adherence | ||||
|---|---|---|---|---|---|---|---|---|
| Age | Gender | Participants origin/cultural groups | Illness duration | |||||
| Male | Female | |||||||
| Krauskopf et al., 2015, | COPD | 62–74 | 62 (33) | 126 (67) | English- & Spanish-speaking patients in New York | N/A | Brief Illness Perceptions Questionnaire | Medication Adherence Rating Scale (MARS) |
| Hsiao et al, 2012, | HTN | 53.8 | 78 (66.7) | 39 (33.3) | Taiwanese in Taiwan | N/A | Illness Perception Questionnaire – revised | Hypertensive Patient’s Drug Adherence Questionnaire |
| Saarti et al,2016, | HTN | >18 | 59 (50.4) | 58 (49.6) | Lebanese patients in Lebanon | 7.8 | Brief Illness Perception Questionnaire | 8-item Morisky Medication Adherence Scale |
| Chen et al, 2011, | HTN | 65.2 | 214 (60.3) | 141 (39.7) | Taiwanese patients in Taiwan (ethnic Chinese) | 10.45 | Illness Perception Questionnaire – Revised | Medication Adherence Inventory and the Inventory of Adherence to Self-Management |
| Ashur et al, 2015, | DMT2 | 54.4 | 215 (41.1) | 318 (58.9) | Libyan patients in Tripoli | 9.4 | Illness Perception Questionnaire – Revised | 8- Items Morisky Medication Adherence Scale |
| Soones et al., 2017, | Asthma | 67 | 70 (16.2) | 363 (83.3) | Elderly patients from New York in USA | 31.4 | Brief Illness Perceptions Questionnaire, | Medication Adherence Rating Scale (MARS) |
| Chen et al, 2009, | HTN | >18 | 166 (59.9) | 111 (40.1%) | Taiwanese patients in Taiwan | 10.46 | Illness perception questionnaire – Revised | Medication Adherence Inventory and the Inventory of Adherence to Self-Management |
| Jacobs et al, 2014, | DMT2 | 54.6 | 20 (50) | 20 (50) | Lumbi Indian tribe in USA | 9.9 | Illness Perceptions Questionnaire – Revised | Morisky Medication Adherence Scale (old version) |
| Rajpura & Nayak, 2014, | HTN | >55 | 75 (64.1) | 42 (35.9) | American elderly | >7 years | Brief Illness Perception Questionnaire | Morisky Medication Adherence Scale (old version) |
| Mann et al, 2009, | DMT2 | 57 | 49 (32) | 102 (68) | English- and Spanish-speaking patients in New York/USA | 13.0 | Brief-Illness Perception Questionnaire | Morisky Medication Adherence Scale (old version) |
| Shiyanbola et al, 2017, | DMT2 | 58.7 | 74 (42.5) | 100 (57.5) | American patients in USA | 9.6 | Beliefs in Medicines Questionnaire, | 8- Items Morisky Medication Adherence Scale |
| Ku & Kegels, 2015, | DMT2 | 62.8 | 227 (41.3) | 322 (58.7) | Filipino patient in Philippines | 7.0 | Brief Diabetes Knowledge Test, the Diabetes Knowledge Questionnaire, and Diabetes Care Profile survey questionnaire | Medical records review |
| Nazir et al, 2016, | DMT2 | 50.8 | 222 (56.6) | 170 (43.4) | Pakistani patients in Pakistan | 5.58 | Michigan Diabetes Knowledge Test | Urdu version of Morisky Medication Adherence Scale |
| Chiu et al, 2014, | Asthma | 53.0 | 402 (38.2) | 651 (61.8) | Asian patients in China, Korea, Malaysia, Taiwan, Thailand and Vietnam | 11.4 | Asthma Control Test, and the Standardized Asthma (AQLQ-S) | 8-Items Morisky Medication Adherence Scale |
| Small et al, 2012, | DMT2 | >18 | 261 (69.1) | 116 (30.9) | English-speaking patients in southeastern United State | N/A | Diabetes Knowledge Questionnaire | Morisky Adherence Scale (old version) |
| Albargawi et al, 2017, | DMT2 | 49 | 18 (60) | 12 (40) | Saudi patients in KSA | N/A | Arabic version of form C of the multidimensional health locus of control scale | The Arabic version of the revised and expanded summary of diabetes self-care activities scale |
| Eh et al, 2016, | DMT2 | 62.9 | 62 (44.6) | 77 (55.4) | Chinese in Australia | 12.5 | Level of acculturation | Chinese version of Morisky Medication Adherence Scale |
| Kretchy et al, 2013, | HTN | 57.10 | 74 (37.25) | 125 (62.75) | Ghanaian patients in Ghana | ≤10 | Spiritual Perspective Scale | 8-Items Morisky Medication Adherence Scale |
| Li et al, 2006, | HTN | 70.6 | 100 (50) | 100 (50) | White American VS African American in USA | N/A | Four-item instrument that assessed each dimension of Hall’s framework of patient trust in the physician | Self-reported (Patients were asked to respond to a single question) |
| Abel et al,0.2017, | HTN | 19–60 | – | 80 (100) | Black women in USA | N/A | Nine spiritual/religious questions developed by the investigator | 14-item Hill-Bone Compliance to High Blood Pressure Therapy scale |
| Aflakseir, 2012, | DMT2 | 40.7 | 22 (22) | 78 (78) | Iranian patients in Iran | 9.5 | Illness perception questionnaire – Revised | Medication Adherence Rating Scale |
| Huang et al, 2018, | DMT2 | 58.7 | 74 (42.5) | 100 (57.5) | English-speaking patients in a Midwestern state in USA | 9.6 | Newest Vital Sign | 8-Items Morisky Medication Adherence Scale |
| Jankowska et al, 2016, | HTN | 32–90 | 109 (46.8) | 124 (53.2) | Poland patients in Poland | 11.75 | Hypertension Knowledge Level Scale | 8-Items Morisky Medication Adherence Scale |
| Tailakh et al, 2016, | HTN | 29–74 | 34 (73.9) | 12 (26.1) | Arabs in USA | N/A | The Asian American Multidimensional Acculturation Scale | 8-Items Morisky Medication Adherence Scale |
| Wannasirikul et al, 2016, | HTN | 60–70 | 145 (24.2) | 455 (75.8) | Elderly patients in Sa Kaeo in Thailand | 7.2 | Functional, communicative and critical health literacy scale | Adherence to Refills and Medications Scale |
Abbreviations: DMT2, type 2 diabetes mellitus; HTN, hypertension; N/A, not available.
Association of other factors and beliefs on medication adherence
| Study | Religious beliefs | Cultural beliefs | Illness knowledge/personal perceptions |
|---|---|---|---|
| Eh et al, 2016 | Negative association between strong beliefs in the superiority of traditional Chinese medicines and medication adherence (β=−0.19, | ||
| Li et al, 2006 | Negative association between susceptibility and medication adherence (OR=3.77, 95% CI 1.19–12.01). | ||
| Chiu et al, 2014 | Negative association between using traditional herbal medicines and medication adherence | Significant positive association between patients’ understanding of the disease and medication adherence ( | |
| Albargawi et al, 2017 | Significant positive association between religious beliefs and medication adherence ( | ||
| Kretchy et al, 2013 | Spiritual beliefs negatively associated with medication adherence ( | ||
| Nazir et al, 2016 | Positive association between patients’ knowledge about DMT2 and medication adherence ( | ||
| Ku & Kegels, 2015 | Positive association between illness knowledge and self-management practices, and medication adherence ( | ||
| Small et al, 2012 | No association between diabetic knowledge and medication adherence | ||
| Abel et al, 2017 | There was a non-significant correlation between medication adherence and the four spiritual/religious variables: | ||
| Jankowska et al, 2016 | Positive significant association between medication adherence and high level of illness knowledge (β=0.208; | ||
| Tailakh et al, 2016 | Acculturated participants were more adherent to medications and physical activity and had better blood pressure control. |
Abbreviation: DMT2, type 2 diabetes mellitus.
Association of health literacy and self-efficacy on medication adherence
| Study | Health literacy | Self-efficacy |
|---|---|---|
| Ku & Kegels, 2015 | Positive association identified between perceived self-efficacy and all four self-management practices (diet | |
| Shiyanbola et al, 2017 | No direct relationship with medication adherence; however, mediated other factors related to medication adherence, such as illness perception (β=0.20, | Significant positive association between self-efficacy and adherence (β=0.486, |
| Soones et al, 2017 | Directly associated positively with medication adherence (β=0.089, | |
| Huang et al, 2018 | No significant association with diabetes medication adherence (β = −0.04, | Significant positive association between self-efficacy and adherence (β =0.53, |
| Wannasirikul et al, 2016 | Directly associated positively with medication adherence (β=0.08, |
Figure 1PRISMA flow chart of the literature search and study selection.
Figure 2Conceptual model to illustrate the effect of illness perceptions and other beliefs on medication adherences.
Note: Data from these studies.26,30