| Literature DB >> 34675490 |
Noor Azizah Abdul Wahab1,2, Mohd Makmor Bakry1, Mahadir Ahmad3, Zaswiza Mohamad Noor2, Adliah Mhd Ali1.
Abstract
BACKGROUND: Hypertension is one of the major risk factors of stroke and leading risk factors for global death. Inadequate control of blood pressure due to medication non-adherence remains a challenge and identifying the underlying causes will provide useful information to formulate suitable interventions.Entities:
Keywords: cultural; hypertension; medication adherence; religiosity; spirituality
Year: 2021 PMID: 34675490 PMCID: PMC8502050 DOI: 10.2147/PPA.S319469
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Figure 1Interview questionnaire development process.
Figure 2Recruitment process flowchart.
Summary of Semi-Structured Interview Guide
| Sample of Prompts for Exploring Role of Culture, Religiosity and Spirituality |
|---|
General Characteristics of Study Participants (n = 23)
| Variables | Number (%) | Mean ±SD/[Median, (Range)] | |
|---|---|---|---|
| Gender | |||
| Male | 6 (26.1) | ||
| Female | 17 (73.9) | ||
| Age (years) | |||
| Mean age | 59.17 | 59.17 ± (13.3) [59,(31–83)] | |
| < 40 | 1 (4.3) | ||
| 40–64 | 15 (65.2) | ||
| ≥ 65 | 7 (30.4) | ||
| Ethnicity | |||
| Malay | 16 (78.3) | ||
| Chinese | 3 (13.0) | ||
| Indian | 2 (8.7) | ||
| Indigenous people | 2 (8.7) | ||
| Residential area | |||
| Urban | 13 (56.5) | ||
| Rural | 10 (43.5) | ||
| Monthly household income in MYR | |||
| <1000 | 6 (26.1) | ||
| 1000–3000 | 6 (26.1) | ||
| >3000 | 8 (34.8) | ||
| Undisclosed | 3 (13.0) | ||
| Duration of treatment | |||
| 6 months - 1 year | 4 (17.4) | ||
| > 1 year | 19 (82.6) | ||
| Concomitant illness | |||
| Diabetes | 2 | ||
| Hypercholesterolaemia | 5 | ||
| Diabetes and hyperlipidaemia | 5 | ||
| Adult Clinic Blood pressure in mmHg (CPG Management of Hypertension 5th Edition) | |||
| Optimal | SBP < 120 and DBP < 80 | 2 (8.7) | |
| Normal | SBP: 120–129 and/or DBP 80–84 | 9 (39.1) | |
| High Normal | SBP: 130–139 and/or DBP: 85–89 | 1 (4.3) | |
| Stage 1 | SBP: 140–159 and/or DBP: 90–99 | 4 (17.4) | |
| Stage 2 | SBP: 160–179 and/or DBP: 100–109 | - | |
| Stage 3 | SBP: ≥180 and/or DBP: ≥ 110 | - | |
| Isolated Systolic HTN | SBP: ≥140 and/or DBP: ≤ 90 | 7 (30.4) | |
| Education level | |||
| Secondary school and lower | 15 (65.2) | ||
| College and higher | 8 (34.8) | ||
| Number of comorbidity | 0.7± 0.8 (Range 0–2) | ||
| Number of medications | 2.8 ± 1.9 (Range 1–7) | ||
| Number of antihypertensive medications | 1.4 ± 0.7 (Range 1–3) | ||
Abbreviations: MYR, Malaysian Ringgit; SBP, Systolic blood pressure; DBP, Diastolic blood pressure; CPG, Clinical Practice Guideline; HTN, Hypertension.
Correlation of Selected Variables with BP Control
| Variables | P-value | |
|---|---|---|
| Pearson Correlation | Spearman-Rho | |
| Age | 0.243 | |
| Ethnicity | 0.182 | |
| Comorbidity | 0.948 | |
| Total no. of medications | 0.986 | |
| No. of antihypertensive medications | 0.895 | |
| Gender | 0.224 | |
| Location | 0.532 | |
| Education | 0.886 | |
Notes: Spearman’s Rho for non-normally distributed variables and Pearson’s product-moment correlation for continuous and dichotomous normally distributed variables.
Figure 3CRS Influence on medication adherence.