Evidence map›Paper›PMID 30416620›Full record

ArticlePharmacy practice

Source of medicines and medicine information by self-reported persons living with hypertension and diabetes in rural and urban Ghana.

Mercy N Opare-Addo, Kwame O Buabeng, Afia F Marfo, Francis A Osei, Ellis Owusu-Dabo, Daniel Ansong, Berko P Anto, Joseph M Boaheng, Isaac Nyanor

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In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Mercy N Opare-AddoDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceutical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology. Kumasi (Ghana). mnaopare-addo.pharm@knust.edu.gh.ORCID 0000-0002-2660-2582
Kwame O BuabengDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceu-tical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology. Kumasi (Ghana). kchiefb@yahoo.co.uk.ORCID 0000-0001-7944-2255
Afia F MarfoDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceutical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology. Kumasi (Ghana). afamarfo@gmail.com.ORCID 0000-0002-1921-7301
Francis A OseiKumasi Centre for Collaborative Research in Tropical Medicine. Kumasi, (Ghana). francisph1@hotmail.com.ORCID 0000-0003-1094-813X
Ellis Owusu-DaboKumasi Centre for Collaborative Research in Tropical Medicine. School of Public Health, College of Health Sciences Kwame Nkrumah University of Science and Technology, Kumasi (Ghana).ORCID 0000-0003-4232-4292
Daniel AnsongSchool of Medical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology. Kumasi (Ghana). ansongd@yahoo.com.ORCID 0000-0003-1328-9117
Berko P AntoDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceutical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology. Kumasi (Ghana). berkopanyin@hotmail.com.ORCID 0000-0002-4673-4929
Joseph M BoahengKomfo Anokye Teaching Hospital. Kumasi (Ghana). marfoboaheng@yahoo.com.ORCID 0000-0001-9686-6113
Isaac NyanorKomfo Anokye Teaching Hospital. Kumasi (Ghana). ochappi2003@gmail.com.ORCID 0000-0001-9962-4021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted to determine the source of medicines and medicine information of persons living with hypertension and diabetes in rural and urban Ghana and assessing if they are influenced by predisposing and enabling factors as defined by Andersen's behavioural model.

methodsA population based cross sectional study was conducted in four (4) rural and four (4) urban districts in the Ashanti Region of Ghana. A multistage and proportional sampling method was used in enrolling participants aged 18 years and above. A pre-tested structured questionnaire was used to collect primary data from respondents. Data collected was exported to STATA for analysis. Descriptive analysis was performed. Chi-square tests/Fisher's exact test and multinomial logistic regression models were used to establish association between variables.

resultsA total of 336 self -reported persons with hypertension and diabetes were enrolled in the study with 199(59.23%) living in urban communities. The majority of participants with hypertension and diabetes living in the rural communities 77 (56.20%) were females contrasting with the male majority in urban communities 106 (53. 27%). In the rural communities, 49 (35.77%) of participants sourced medicines from the health centre while 45 (32.85%) and 35(25.55%) sourced medicines from the hospital and over the counter medicine shop (OTCMS) respectively. In the urban communities, 153 (76.88%) sourced medicines from the hospital while 33 (16.58%) sourced medicines from the pharmacy. The predisposing factor age (OR: 1.1, 95%CI 1.040-1.210) under OTCMS, age (OR 1.0, 95% CI: 1.002-1.066) under hospital and enabling factor socioeconomic status (OR: 0.3, 95%CI 0.085-0.855) under Hospital influenced participant's source of medicine in the urban communities. The results also revealed that majority of participants in both rural 99 (72.26%), and urban 164 (82.41%) communities sourced medicine information mainly from public healthcare facilities, pre-disposing factors; age (OR 1.1 95%CI 1.032-1.270) under family member, age (OR 1.1, 95%CI 1.022-1.167) under friend health professional, age (OR 1.1, 95%CI 1.050-1.147) under nearest health institution, marital status (OR: 0.004, 95%CI 0.003-0.441) under friend health Professional were found to influence participants' source of medicine information in the urban communities while in the rural communities the predisposing factor marital status (OR 10.6, 95%CI 1.044 -106.835), education (OR: 26.1, 95%CI 1.271-537.279) under friend health professional, age (OR 1.1, 95%CI 1.002-1.187), educational level (OR 30.6, 95%CI 1.718-546.668) under nearest health institution and enabling factor socio-economic status (OR 6.6, 95%CI 1.016 -43.510) under nearest health institution influenced one's source of medicine information.

conclusionsMajority of inhabitants with hypertension and diabetes in both rural and urban communities, sourced medicines and medicine information from public health institutions though a larger proportion was recorded in the urban communities. More participants in the rural communities than in the urban communities sourced medicines and medicine information from community pharmacies. Participants' source of medicine and medicine information was influenced by both predisposing and enabling factors.

Indexed as

Diabetes MellitusGhanaHealth Services Needs and DemandHypertensionMultivariate AnalysisPharmaciesPharmacistsPrescription DrugsSurveys and Questionnaires

Identifiers

PMID30416620
PMCPMC6207351

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LicenceCC BY-NC-ND
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Registered trials

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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.