Evidence map›Paper›PMID 29589991›Full record

Trial reportGlobal health action2018

Comparison of patient flow and provider efficiency of two delivery strategies for HPV-based cervical cancer screening in Western Kenya: a time and motion study.

Easter Olwanda, Jennifer Shen, James G Kahn, Katelyn Bryant-Comstock, Megan J Huchko

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. HPV-based cervical cancer screening in low-resource settings: Maximizing the efficiency of community-based strategies in rural Kenya.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    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

5 authors.

Easter Olwandaa Center for Microbiology Research , Kenya Medical Research Institute , Nairobi , Kenya.
Jennifer Shenb Institute for Health Policy Studies , University of California , San Francisco , CA , USA.ORCID 0000-0002-0130-2479
James G Kahnb Institute for Health Policy Studies , University of California , San Francisco , CA , USA.
Katelyn Bryant-Comstockc Duke Global Health Institute , Duke University , Durham , NC , USA.
Megan J Huchkoc Duke Global Health Institute , Duke University , Durham , NC , USA.

Funding

Evaluating a community-driven cervical cancer prevention model in western KenyaR01CA188428 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUCHKO, MEGAN J. · 2014 to 2018
$2.5M
NCI NIH HHS R01 CA188428
6 · The paper itself

Abstract

backgroundImproving patient flow and reducing over-crowding can improve quality, promptness of care, and patient satisfaction. Given low utilization of preventive care in low-resource countries, improved patient flows are especially important in these settings.

objectiveCompare patient flow and provider efficiency between two cervical cancer screening strategies via self-collected human papillomavirus (HPV).

methodsWe collected time and motion data for patients screened for cervical cancer in 12 communities in rural Migori County, Kenya as part of a larger cluster randomized trial. Six communities were randomized to screening in community health campaigns (CHCs) and six to screening at government clinics. We quantified patient flow: duration spent on each active stage of screening and wait times, and the number of patients arriving at CHCs and clinics each hour of the day. In addition, for four CHCs, we collected time and motion data for providers, and measured provider efficiency as a ratio of active (service delivery) time to total time spent at the clinic.

resultsTotal duration of screening visits, at CHCs and clinics was 42 and 87 minutes, respectively (p < 0.001 for difference). Total active time lasted longer at CHCs, with a mean of 28 minutes per patient versus 15 minutes at clinics, largely due to differences in duration for group education (p < 0.001). Wait time for registration at clinics was 36 minutes, explaining most of the difference between settings, but sometimes incorporated other health services.

conclusionsThere is a substantial difference in patient flow at clinics compared to CHCs. Shorter duration at CHCs suggests that the model is favorable for patients in limiting time spent on screening. Future cervical cancer screening programs designed for scale-up should consider how this advantage may enhance satisfaction and uptake. For clinic-based screening programs, efforts could be made towards reducing registration wait times.

Indexed as

Efficiency, OrganizationalCrowdingEarly Detection of CancerFemaleHumansKenyaPapillomavirus InfectionsPatient SatisfactionRural PopulationTime and Motion StudiesTime FactorsUterine Cervical NeoplasmsWaiting ListsWorkflowCervical cancerCHCsClinicsHPV testingKenyatime and motion

Identifiers

PMID29589991
PMCPMC5912439

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.