Evidence map›Paper›PMID 33536063›Full record

ArticleJournal of pharmaceutical policy and practice2021

Article 4: Impact assessment of supervision performance assessment and recognition strategy (SPARS) to improve supply chain management in health facilities in Uganda: a national pre and post study.

Denis Okidi Ladwar, Moses Nixon Sembatya, Nancy Miriam Amony, Morries Seru, Dennis Ross-Degnan, Laura Garabedian, Birna Trap

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 11 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 3 institutions in 2 countries.

Denis Okidi LadwarUSAID/Uganda Health Supply Chain Program, Management Sciences for Health, Plot 15, Princess Anne Drive, Bugolobi, P.O. Box 71419, Kampala, Uganda.
Moses Nixon SembatyaUSAID/Uganda Health Supply Chain Program, Management Sciences for Health, Plot 15, Princess Anne Drive, Bugolobi, P.O. Box 71419, Kampala, Uganda.
Nancy Miriam AmonyUSAID/Uganda Health Supply Chain Program, Management Sciences for Health, Plot 15, Princess Anne Drive, Bugolobi, P.O. Box 71419, Kampala, Uganda.
Morries SeruPharmacy Division, Ministry of Health Uganda, Plot 6/P.O. Box 7272 Lourdel Rd, Kampala, Uganda.
Dennis Ross-DegnanHarvard Pilgrim Health Care Institute, 133 Brookline Avenue, 6th Floor, Boston, MA, 02215, USA.
Laura GarabedianHarvard Pilgrim Health Care Institute, 133 Brookline Avenue, 6th Floor, Boston, MA, 02215, USA.
Birna TrapUSAID/Uganda Health Supply Chain Program, Management Sciences for Health, Plot 15, Princess Anne Drive, Bugolobi, P.O. Box 71419, Kampala, Uganda. birna.trap@gmail.com.ORCID http://orcid.org/0000-0001-9432-9699
World Health Organization - Uganda · UGHarvard Pilgrim Health Care · USMinistry of Health · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo strengthen medicines management capacity, including supply chain management, at public sector health facilities in Uganda, the Ministry of Health introduced a multipronged supervision, performance assessment, and recognition strategy (SPARS). The aim of this study was to assess the impact of SPARS on improving supply chain management. A series of four papers on SPARS described the SPARS concept, its impact on overall and domain practices and appropriate medicines use, and now in the fourth paper describing the effect on supply chain management.

methodsDistrict-based health workers trained as supervisors build facility-level capacity in medicines management using an indicator-based performance assessment followed by targeted supervisory visits. From 2010 to 2013, 1222 SPARS visits were implemented, and the SPARS performance indicator scores determined. This article assesses impact on 13 indicators in three of the five SPARS domains-stock management, storage management, and ordering and reporting quality-using a pre-post design. We also explored factors that may have influenced these outcomes.

resultsBetween the first and last visit within one year of SPARS implementation, we found an average improvement of 16 percentage points (p < 0.001) in supply chain management measures across all levels of care. The improvement in scores for stock management, storage management, and ordering and reporting was 22 (ns), 16 (p < 0.001), and 11 (p = 0.032) percentage points, respectively. The study identified the key predictors of positive change as a low initial indicator score, frequent supervisory visits, and engagement of the district health officer.

conclusionsThe multipronged SPARS approach was effective in building supply chain management capacity in lower-level health care facilities with statistically significant improvements in supply chain management overall and in almost all stock and storage- management and ordering and reporting measures after one year of implementation. We recommend broad dissemination of the SPARS approach as an effective strategy to strengthen supply chain management in low-income countries.

trial registrationThe study did not involve or use human participants or identifiable personal data, human tissue, or animals and thus did not require ethical approval or a waiver. It is a study implemented in collaboration with the Ministry of Health and does not require trial registration.

Indexed as

Medicines management interventionsMultipronged interventionOrdering and reporting.Performance assessmentStock managementStorage managementSupply chain managementSupportive supervisionUganda

Identifiers

PMID33536063
PMCPMC7857862
OpenAlexW3126819478

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.