Evidence map›Paper›PMID 38736807›Full record

ArticleJournal of family medicine and primary care2024

An assessment of treatment compliance using the Morisky scale-8 tool in adult hypertensive patients of Eastern India.

Raman Kishor, Sarita Kumari, Ravi Prakash, Neha Chaudhary, Shyama Shyama, Shamshad Ahmad, Pragya Kumar

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Raman KishorDepartment of Community Medicine, ESICMCH, Patna, Bihar, India.
Sarita KumariDepartment of Community and Family Medicine, AIIMS, Patna, Bihar, India.
Ravi PrakashDepartment of Community Medicine, ESICMCH, Patna, Bihar, India.
Neha ChaudharyDepartment of Community Medicine, ESICMCH, Patna, Bihar, India.
Shyama ShyamaDepartment of General Medicine, AIIMS, Patna, Bihar, India.
Shamshad AhmadDepartment of Community and Family Medicine, AIIMS, Patna, Bihar, India.
Pragya KumarDepartment of Community and Family Medicine, AIIMS, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adequate management of hypertension is crucial for decreasing the likelihood of cardiovascular ailments and associated complications. Nonetheless, in the Indian context, maintaining compliance with prescribed hypertensive therapies presents a notable hurdle, impeding the attainment of favorable health outcomes. Thus, this study was conducted with the aim to evaluate the prevalence of treatment adherence and explore the diverse factors that impact adherence patterns among individuals diagnosed with hypertension. Material and Methods: A community-based cross-sectional questionnaire-based study was carried out among the diagnosed hypertensive patients from 12 purposefully selected villages of Khagaul block, Patna. A total of 262 participants were recruited in the study by using non-probability sampling. The 8-item Morisky Medication Adherence Scale (MMAS-8) was used for measuring adherence. The Statistical Package for the Social Sciences (SPSS) for Windows version 21.0 (SPSS Inc; Chicago, IL, USA) was used for statistical analysis of data. Result: As per MMAS scores, 10 (3.8%) had high, 133 (50.8%) moderate, and 119 (45.4%) poor adherence. However, good adherence was reported among geriatric patients [1.65 (1.01-2.7)], those with a history of absence of comorbidities [2.15 (1.21-3.85)], more than 5 years' duration of hypertension [3.2 (1.89-5.41)], once-a-day drug intake [2.8 (1.61-4.87)], and having controlled blood pressure [5.2 (3.08-8.96)]. Controlled blood pressure (AOR = 0.048, 0.023-0.098), perception of high benefit of treatment [0.497 (0.255-0.97)], and absence of comorbidity [0.016 (0.168-0.832)] were identified as predictors of good treatment adherence. Conclusion: Overall medication adherence in the current study was 54.6%. Achieving treatment adherence frequently demands proactive patient engagement, highlighting their active role in disease management. Also, involving the patient's caregivers can offer an additional tactic to tackle non-adherence stemming from forgetfulness of the patient.

Indexed as

Blood pressure controlcompliancehypertensionMorisky adherence scaleself-reported adherencetreatment adherence

Identifiers

PMID38736807
PMCPMC11086791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.