Evidence map›Paper›PMID 30597114›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2019

Self-medication with non-prescribed pharmaceutical agents in an area of low malaria transmission in northern Tanzania: a community-based survey.

Julian T Hertz, Deng B Madut, Revogatus A Tesha, Gwamaka William, Ryan A Simmons, Sophie W Galson, Venance P Maro, John A Crump, Matthew P Rubach

Abstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Prescription-only medicine requests by clients: Insights from community pharmacies.Exploratory research in clinical and social pharmacy · 2026
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  8. An In-Depth Examination of Reasons for Autopsy Acceptance and Refusal in Northern Tanzania.The American journal of tropical medicine and hygiene · 2020
    Article
  9. Article
  10. 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

9 authors.

Julian T HertzDepartment of Surgery, Division of Emergency Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA.
Deng B MadutDepartment of Medicine, Division of Infectious Disease, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA.
Revogatus A TeshaDepartment of Statistical Science, Duke University, Durham, NC, USA.
Gwamaka WilliamKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Ryan A SimmonsDuke Global Health Institute, Duke University, 310 Trent Dr, Durham, NC, USA.
Sophie W GalsonDepartment of Surgery, Division of Emergency Medicine, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA.
Venance P MaroKilimanjaro Christian Medical Centre, Moshi, Tanzania.
John A CrumpOtago Global Health Institute, University of Otago, Dunedin, New Zealand.
Matthew P RubachDepartment of Medicine, Division of Infectious Disease, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA.

Funding

Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
Viral Zoonoses and Severe Febrile Illness in Northern TanzaniaK23AI116869 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$896k
FIC NIH HHS D43 TW009337NIAID NIH HHS K23 AI116869NIAID NIH HHS R01 AI121378
6 · The paper itself

Abstract

backgroundSelf-treatment with antimicrobials is common in sub-Saharan Africa. Little is known about the prevalence of this practice where malaria transmission intensity is low, and little is known about the prevalence of self-treatment with other medications such as antihypertensives and antihyperglycemics.

methodsA two-stage randomized population-based cluster survey with selection proportional to population size was performed in northern Tanzania. Self-identified healthcare decision-makers from randomly selected households were asked to report instances of self-medication without a prescription in the preceding year. Associations between self-treatment and sociodemographic characteristics were assessed with Pearson's chi-squared and the Student's t-test.

resultsA total of 718 participants completed the survey, and 344 (47.9%) reported any household member obtaining medication without a prescription. Of these, 85 (11.8%) obtained an antimicrobial and four (0.6%) obtained an antihypertensive or antihyperglycemic. Of respondents reporting self-treatment, 306 (89.0%) selected the medication themselves. Self-treatment with antimicrobials was associated with post-primary education (OR 1.95, 95% CI 1.22-3.16, p=0.005), younger age (43.1 vs 48.7 years, p=0.007) and higher socioeconomic status score (0.42 vs 0.34, p=0.023).

conclusionsSelf-treatment with antimicrobials in an area of low malaria transmission intensity was uncommon and self-treatment with antihypertensives and antihyperglycemics was rare.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Infective AgentsDisease Transmission, InfectiousDrug MisuseFemaleHumansMalariaMaleMiddle AgedSelf MedicationSurveys and QuestionnairesTanzaniaYoung AdultAnti-Infective Agentsantihypertensive agentsanti-infective agentsself-medicationsub-Saharan AfricaTanzania

Identifiers

PMID30597114
PMCPMC6432801

What OpenQuestion holds

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LicenceCC BY
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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.