Evidence map›Paper›PMID 34630834›Full record

ArticleThe Pan African medical journal2021

Assessment of prescribing patterns of antibiotics using National Treatment Guidelines and World Health Organization prescribing indicators at the Ghana Police Hospital: a pilot study.

Thomas Opoku Darkwah, Daniel Kwame Afriyie, Jacqueline Sneddon, Alison Cockburn, Mercy Naa Aduele Opare-Addo, Benjamin Tagoe, Seth Kwabena Amponsah

Abstract read
In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Antibiotic prescribing in public primary healthcare centres in Maseru, Lesotho.Southern African journal of infectious diseases · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. The Antimicrobial Resistance (AMR) Rates ofAntibiotics (Basel, Switzerland) · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Thomas Opoku DarkwahDepartment of Pharmacy, Ghana Police Hospital, Accra, Ghana.
Daniel Kwame AfriyieDepartment of Pharmacy, Ghana Police Hospital, Accra, Ghana.
Jacqueline SneddonScottish Antimicrobial Prescribing Group, Healthcare Improvement Scotland, Glasgow, United Kingdom.
Alison CockburnNational Health Service (NHS) Lothian Antimicrobial Management Team, Western General Hospital, Crewe Road South, Edinburgh, United Kingdom.
Mercy Naa Aduele Opare-AddoDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceutical Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Benjamin TagoeDepartment of Medical Pharmacology, University of Ghana Medical School, Accra, Ghana.
Seth Kwabena AmponsahDepartment of Medical Pharmacology, University of Ghana Medical School, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionirrational or inappropriate prescribing of antibiotics is a major problem in healthcare and leads to antibiotic resistance. There is the need to understand the prescribing patterns and antibiotic stewardship in health facilities to support appropriate antibiotic use. A study was carried out to evaluate prescribing pattern of antibiotics at the Ghana Police Hospital using National Standard Treatment Guidelines (STG) and World Health Organization (WHO) prescribing indicators.

methodsa cross-sectional descriptive study was conducted at the Ghana Police Hospital. Data on prescriptions of antibiotics for both out-patients and in-patients was collected between December 2019 and March 2020. A pretested self-designed tool was used for data collection. All sampled prescriptions were assessed for appropriateness using the STG of 2017 and WHO "AWaRe" classification. The criteria used in assessment included dose, frequency, duration of treatment and choice of antibiotic prescribed for disease condition. Descriptive statistics were used in data analysis.

resultsa total of 184 patient prescriptions (286 antibiotics) were included in this study. Results showed that antibiotics were mostly prescribed for dental and dental-related conditions (20.7%) and obstetric post-delivery prophylaxis (18.1%). Appropriateness of indicators for antibiotics prescribed assessed ranged between 89.2% to 97.6%. The most frequently prescribed antibiotics were metronidazole (25.9%), amoxicillin with clavulanic acid (22.0%), amoxicillin (16.4%) and ciprofloxacin (10.1%). Based on WHO "AWaRe" classification, the "access" group of antibiotics (74%) was the most prescribed, followed by "watch" group (24%). There were no antibiotics prescribed from the "reserve" group of antibiotics and another 2% that was not part of AwaRe classification.

conclusionstudy revealed that the level of appropriateness for prescribing indicators assessed was relatively high and majority of prescribed antibiotics were from the "access" and "watch" group. These observations suggest responsible prescribing of antibiotics at the Ghana Police Hospital and effective antibiotic stewardship should be sustained and improved.

Indexed as

Practice Guidelines as TopicAdolescentAdultAgedAnti-Bacterial AgentsAntimicrobial StewardshipChildChild, PreschoolCross-Sectional StudiesFemaleGhanaHospitalsHumansInappropriate PrescribingInfantMaleAnti-Bacterial Agentsantimicrobial resistanceAntimicrobialsinfectionsprescription patternWHO “aware” classification

Identifiers

PMID34630834
PMCPMC8486929

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.