Evidence map›Paper›PMID 30591044›Full record

ArticleBMC endocrine disorders2018

Retrospective assessment of the quality of diabetes care in a rural diabetes clinic in Western Kenya.

Sonak D Pastakia, Bernardo Nuche-Berenguer, Chelsea Regina Pekny, Benson Njuguna, Elizabeth Guinevere O'Hara, Stephanie Y Cheng, Jeremiah Laktabai, Victor Buckwalter, Nicholas Kirui, Patrick Chege

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

10 authors.

Sonak D PastakiaMoi University School of Medicine, Nandi Hills Road, Eldoret, 30100, Kenya. spastaki@gmail.com.
Bernardo Nuche-BerenguerNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 31 Center Dr, Bethesda, MD, 20892, USA.
Chelsea Regina PeknyOhio State University, College of Pharmacy, 500 W 12th Ave, Parks Hall, Columbus, OH, 43210, USA.
Benson NjugunaUSAID-Academic Model Providing Access to Healthcare (AMPATH) /Moi Teaching and Referral Hospital, Nandi Hills Road, Eldoret, 30100, Kenya.
Elizabeth Guinevere O'HaraNew Mexico VA Health Care System, 1501 San Pedro SE, Albuquerque, NM, USA.
Stephanie Y ChengPurdue Kenya Partnership, Purdue University College of Pharmacy, PO Box 5760, Eldoret, 30100, Kenya.
Jeremiah LaktabaiMoi University School of Medicine, Nandi Hills Road, Eldoret, 30100, Kenya.
Victor BuckwalterWebuye District Hospital, PO Box 25, Webuye Road, Webuye, 50205, Kenya.
Nicholas KiruiUSAID-Academic Model Providing Access to Healthcare (AMPATH) /Moi Teaching and Referral Hospital, Nandi Hills Road, Eldoret, 30100, Kenya.
Patrick ChegeMoi University School of Medicine, Nandi Hills Road, Eldoret, 30100, Kenya.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
FIC NIH HHS D43 TW009343Indiana Clinical and Translational Sciences Institute UL1 TR001108NCATS NIH HHS UL1 TR001108United States Agency for International Development AID-623-A-12-0001
6 · The paper itself

Abstract

backgroundSub-Saharan Africa continues to face the highest rate of mortality from diabetes in the world due to limited access to quality diabetes care. We assessed the quality of diabetes care in a rural diabetes clinic in western Kenya.

methodsTo provide a comprehensive assessment, a set of clinical outcomes, process, and structure metrics were evaluated to assess the quality of diabetes care provided in the outpatient clinic at Webuye District Hospital. The primary clinical outcome measures were the change in HbA1c and point of care blood glucose. In assessing process metrics, the primary measure was the percentage of patients who were lost to follow up. The structure metrics were assessed by evaluating different facets of the operation of the clinic and their accordance with the International Diabetes Federation (IDF) guidelines.

resultsA total of 524 patients were enrolled into the diabetes clinic during the predefined period of evaluation. The overall clinic population demonstrated a statistically significant reduction in HbA1c and point of care blood glucose at all time points of evaluation after baseline. Patients had a mean baseline HbA1C of 10.2% which decreased to 8.4% amongst the patients who remained in care after 18 months. In terms of process measures, 38 patients (7.3%) were characterized as being lost to follow up as they missed clinic visits for more than 6 months. Through the assessment of structural metrics, the clinic met at least the minimal standards of care for 14 out of the 19 domains recommended by the IDF.

conclusionThis analysis illustrates the gains made in various elements of diabetes care quality which can be used by other programs to guide diabetes care scale up across the region.

Indexed as

Outpatient Clinics, HospitalRural PopulationAdolescentAdultAgedAged, 80 and overBlood GlucoseChildDiabetes MellitusFemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinKenyaLost to Follow-UpBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinDiabetesDiabetes careNon-communicable diseaseRuralSub-saharan Africa

Identifiers

PMID30591044
PMCPMC6307239

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.