Evidence map›Paper›PMID 35094495›Full record

ArticleNursing open2022

Predictors of poor medication adherence of older people with hypertension.

Jingjing Wan, Yinyin Wu, Yuan Ma, Xiubin Tao, Anshi Wang

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors Affecting Medication Adherence in Middle-Aged and Elderly Patients in China: A Cross-Sectional Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
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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

5 authors at 1 institution in 1 country.

Jingjing WanDepartment of Graduate School, Wannan Medical College, Wuhu, China.
Yinyin WuDepartment of Graduate School, Wannan Medical College, Wuhu, China.
Yuan MaDepartment of Graduate School, Wannan Medical College, Wuhu, China.
Xiubin TaoNursing Department at First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Anshi WangDepartment of Public Health, Wannan Medical College, Wuhu, China.ORCID 0000-0002-2665-8017
Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo explore the risk factors for poor medication adherence in older people with hypertension.

designA cross-sectional study.

methodsParticipants were administered with a self-report questionnaire about their demographic characteristics; additionally, their four-item Morisky Medication Adherence Scale scores were calculated. The STROBE checklist was applied as the reporting guideline for this study (File S1).

resultsUnivariate analysis indicated that the following five factors were statistically significantly associated with medication adherence: education level (χ RELEVANCE TO CLINICAL PRACTICE: We believe that these findings contribute to the identification of high-risk people with poor adherence, allowing nurses to identify people with poor adherence in a timely manner, and pay attention to the people's medication.

Indexed as

Antihypertensive AgentsHypertensionAgedBlood PressureCross-Sectional StudiesHumansMedication AdherenceAntihypertensive Agentsblood pressurehypertensionmedication adherenceolder peoplepredictors

Identifiers

PMID35094495
PMCPMC8859025
OpenAlexW4210267781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.