Evidence map›Paper›PMID 25173694›Full record

ArticleJournal of community health2015

Predictors of traditional medicines utilisation in the Ghanaian health care practice: interrogating the Ashanti situation.

Razak Mohammed Gyasi, Charlotte Monica Mensah, Lawrencia Pokuah Siaw

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of community health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
17.6field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Unconventional medical practices among Ghanaian students: A university-based survey.Journal of traditional and complementary medicine · 2017
    Article
  13. Article
  14. Pulled in or pushed out? Understanding the complexities of motivation for alternative therapies use in Ghana.International journal of qualitative studies on health and well-being · 2016
    Article
  15. Characterizing Herbal Medicine Use for Noncommunicable Diseases in Urban South Africa.Evidence-based complementary and alternative medicine : eCAM · 2015
    Article
  16. Article
  17. Article
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

3 authors at 1 institution in 2 countries.

Razak Mohammed GyasiDepartment of Geography and Rural Development, Kwame Nkrumah University of Science and Technology, Private Mail Bag, University Post Office, Kumasi, Ghana, binghi_econ@yahoo.com.
Charlotte Monica Mensah
Lawrencia Pokuah Siaw
Kwame Nkrumah University · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional medicine (TRM) use remains universal among individuals, families and communities the world over but the predictive variables of TRM use is still confounding. This population-based study analysed the predictors of TRM use in Ashanti Region, Ghana. A retrospective cross-sectional quantitative survey involving systematic random sampled participants (N = 324) was conducted. Structured interviewer-administered questionnaires were used as research instruments. Data were analysed with logit regression, Pearson's Chi square and Fisher's exact tests from the PASW for Windows application (V. 17.0). Overall, 86.1 % (n = 279) reported use of TRM with biologically-based and distant/prayer therapies as the major forms of TRM utilised in the previous 12 months. Among the general population, TRM use was predicted by having low-income levels [odds ratio (OR) 2.883, confidence interval (CI) 1.142-7.277], being a trader (OR 2.321, CI 1.037-5.194), perceiving TRM as effective (OR 4.430, CI 1.645-11.934) and safe (OR 2.730, CI 0.986-4.321), good affective behaviour of traditional medical practitioner (TMP) (OR 2.943, CI 0.875-9.896) and having chronic ill-health (OR 3.821, CI 1.213-11.311). The prevalence of TRM use is high. The study provides evidence that people's experience, personal attributes, health beliefs, attitude to TRM, attitude of TMP to clients and medical history are largely accountable for the upsurge use of TRM rather than socio-demographic factors. Understanding the health-seeking behaviour of individuals is exigent to ascribe appropriate medical care by health care providers.

Indexed as

AdultAge FactorsCross-Sectional StudiesFemaleGhanaHealth Knowledge, Attitudes, PracticeHumansMaleMedicine, African TraditionalMiddle AgedOdds RatioRetrospective StudiesSex FactorsSocioeconomic Factors

Identifiers

PMID25173694
OpenAlexW1992938450

What OpenQuestion holds

Textmetadata
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.