Evidence map›Paper›PMID 36332955›Full record

ArticleBMJ open2022

Factors influencing receipt of an antibiotic prescription among insured patients in Tanzania: a cross-sectional study.

Mohamed Ally Khalfan, Philip Sasi, Sabina Mugusi

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Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mohamed Ally KhalfanDepartment of Clinical Pharmacology, School of Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of medi.ally.mk@gmail.com.ORCID 0000-0002-1429-5933
Philip SasiDepartment of Clinical Pharmacology, School of Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of.
Sabina MugusiDepartment of Clinical Pharmacology, School of Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere are limited data on factors influencing antibiotic prescription among insured patients. We assessed for correlates of an antibiotic prescription among insured patients.

designA cross-sectional study.

settingThe study was conducted at the National Health Insurance Fund offices, Dar es Salaam, Tanzania. DATA SOURCE: We captured data from the claim forms, containing inpatient and outpatient treatment information for insured patients, for the month of September 2019. OUTCOME VARIABLE: Receipt of an antibiotic prescription. EXPOSURE VARIABLES: Age, sex, diagnosis, prescriber qualification, health facility level, ownership and department were exposure variables. Predictors of receipt of an antibiotic prescription were determined by Poisson regression analysis.

resultsOf 993 analysed patients, the mean (±SD) age was 36.3 (±23.2) years, 581 (58.5%) were females and 535 (53.9%) were adults. The prevalence of antibiotic prescription was 46.4% (95% CI 42.8% to 50.0%). Strong predictors of an antibiotic prescription were being a child (1.7, 95% CI 1.3 to 2.2); acute upper respiratory tract infection (URTI) of multiple and unspecified sites (1.6, 95% CI 1.3 to 1.4); chronic rhinitis, nasopharyngitis and pharyngitis (4.0, 95% CI 2.4 to 6.4); being attended by a clinical officer (1.9, 95% CI 1.2 to 3.0); attending a health centre (1.5, 95% CI 1.1 to 2.0); attending a public facility (1.2, 95% CI 1.0 to 1.4) and visiting an inpatient department (2.0, 95% CI 1.2 to 3.4).

conclusionsAmong insured patients, being a child, acute URTI, being attended by a clinical officer or dental therapist, being attended by an assistant medical/dental officer, attending a health centre or a district hospital, attending a public health facility and visiting an inpatient department predicted an antibiotic prescription. Incorporation of these findings in revisions or establishment of targeted antimicrobial stewardship programmes may lead to better antibiotic prescribing practices that are critical for combating antibiotic resistance.

Indexed as

Anti-Bacterial AgentsRespiratory Tract InfectionsAdolescentAdultChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'PrescriptionsTanzaniaYoung AdultAnti-Bacterial AgentsClinical auditCLINICAL PHARMACOLOGYPublic healthTHERAPEUTICS

Identifiers

PMID36332955
PMCPMC9639089

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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.