Evidence map›Paper›PMID 31637023›Full record

ArticleBMJ global health2019

Using rubber stamps and mobile phones to help understand and change antibiotic prescribing behaviour in private sector primary healthcare clinics in Kenya.

Bernadette Kleczka, Pratap Kumar, Mercy Karimi Njeru, Anita Musiega, Phoebe Wekesa, Grace Rabut, Michael Marx

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Bernadette Kleczka *Haematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Pratap Kumar *Health-E-Net Limited, Nairobi, Kenya.ORCID 0000-0002-9807-3579
Mercy Karimi NjeruCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Anita MusiegaInstitute of Healthcare Management, Strathmore University Business School, Nairobi, Kenya.
Phoebe WekesaInstitute of Healthcare Management, Strathmore University Business School, Nairobi, Kenya.
Grace RabutDivision of HIV, TB and Malaria, Ministry of Health and Sanitation, Kitui, Kenya.
Michael MarxHeidelberg Institute of Global Health, UniversitatsKlinikum Heidelberg, Heidelberg, Germany.
Strathmore University · KEHeidelberg University · DEKenya Medical Research Institute · KEMinistry of Health · KEMuhimbili University of Health and Allied Sciences · TZ

Funding

Medical Research Council MR/N005015/1Wellcome Trust
6 · The paper itself

Abstract

backgroundAntibiotic use in primary care can drive antimicrobial resistance (AMR) in the community. However, our understanding of antibiotic prescribing in low- and middle-income countries (LMICs) stems mostly from hospital-based studies or prescription/sales records, with little information available on routine primary care practices. We used an innovative, paper-to-digital documentation approach to deliver routine data and understand antibiotic use for common infections in low-resource primary healthcare clinics (PHCs).

methodsRubber stamps were introduced in nine private sector PHCs serving Nairobi's informal settlements to 'print-on-demand' clinical documentation templates into paper charts. The intervention included one mobile phone per PHC to take and share images of filled templates, guideline compilation booklets and monthly continuing medical education (CME) sessions. Templates for upper respiratory tract (URTI), urinary tract (UTI), sexually transmitted (STI) and gastrointestinal infection (GI) management were used in eight PHCs. Information in templates from 889 patient encounters was digitised from smartphone images, analysed, and fed back to clinicians during monthly CME sessions. UTI charts (n=130 and 96, respectively) were audited preintervention and postintervention for quality of clinical documentation and management.

resultsAntibiotics were prescribed in 94.3%±1.6% of all patient encounters (97.3% in URTI, 94.2% in UTI, 91.6% in STI and 91.3% in GI), with 1.4±0.4 antibiotics prescribed per encounter. Clinicians considered antibiotic use appropriate in only 58.6% of URTI and 47.2% of GI cases. While feedback did not affect the number of antibiotics prescribed for UTIs, the use of nitrofurantoin, an appropriate, narrow-spectrum antibiotic, increased (9.2% to 29.9%; p<0.0001) and use of broad spectrum quinolones decreased (30.0% to 16.1%; p<0.05).

conclusionAntibiotic use for common infections is high in private sector PHCs in Kenya, with both knowledge and 'know-do' gaps contributing to inappropriate prescription. Paper-based templates in combination with smartphone technologies can sustainably deliver routine primary care case management data to support the battle against AMR.

Indexed as

health services researchhealth systemsinfections, diseases, disorders, injuriespublic health

Identifiers

PMID31637023
PMCPMC6768358
OpenAlexW2975367186

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.