Evidence map›Paper›PMID 37968772›Full record

ArticleJournal of pharmaceutical policy and practice2023

Factors affecting the availability of tracer health commodities in public facilities at Tana River County, Kenya.

Japheth Araka Ayako, Peter Ndirangu Karimi, Eugene Rutungwa, Joseph Lune Ngenzi, Kelvin Wangira Nyongesa, Racheal Habona Jillo, Miheso Hassler Kavere, Abdul Galgalo Shambaro

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 4 institutions in 2 countries.

Japheth Araka AyakoEAC Regional Centre of Excellence for Vaccines, Immunization and Health Supply Chain Management, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Peter Ndirangu KarimiFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Eugene RutungwaEAC Regional Centre of Excellence for Vaccines, Immunization and Health Supply Chain Management, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda. erutungwa75@gmail.com.
Joseph Lune NgenziEAC Regional Centre of Excellence for Vaccines, Immunization and Health Supply Chain Management, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Kelvin Wangira NyongesaTana River County Government (004), Mombasa, Kenya.
Racheal Habona JilloTana River County Government (004), Mombasa, Kenya.
Miheso Hassler KavereTana River County Government (004), Mombasa, Kenya.
Abdul Galgalo ShambaroTana River County Government (004), Mombasa, Kenya.
Kenya School of Government · KEUniversity of Rwanda · RWRwanda Biomedical Center · RWUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelivery of quality healthcare is significantly based on the level of commitment among health facilities. This includes building a strong system with the continued availability of tracer commodities. Human resources, financing, health information provision, and technologies integrated into the care environment have been vital in defining improved care.

methodsThis was a cross-sectional study conducted in health facilities in Tana River County. A census method was used where all 62 health facilities across different tiers of healthcare delivery were considered. Out of 62 facilities, 60 participated in the study. A structured questionnaire and a checklist were used to collect data. Data were analysed using both descriptive and inferential statistics at 0.05 level of significance. Statistical Package for Social Sciences version 26 was used for data analysis.

resultsMajority of the participants were nurses (71.7%), male (68.3%), and diploma holders (78.3%). The mean availability of the tracer commodities was 68.73%. The human resource-related factors influencing availability were personnel training on commodity management (β = 4.56, 95%CI 2.29-11.21, p = 0.012) and presence of pharmaceutical technicians dispensing commodities (β = 2.85, 95%CI 1.29-5.21, p = 0.005) Financial factors investigated revealed that those who were in county hospitals (β = 19.11, 95%CI 7.39-30.83, p = 0.002) and facilities which has disbursement of budgetary allocation on time (β = 12.08, 95%CI 3.11-23.57, p = 0.002) had higher availability of tracer commodities.

conclusionThere was moderate availability of tracer commodities which was influenced by training, personnel, level of the facility, and budget allocation on time.

Indexed as

AvailabilityPublic health facilitiesStock control cardsTana River CountyTracer commodities

Identifiers

PMID37968772
PMCPMC10648676
OpenAlexW4388701279

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.