Evidence map›Paper›PMID 34590896›Full record

ArticleHealth promotion practice2021

Participatory Monitoring and Evaluation of the COVID-19 Response in a Local Public Health System.

Christina M Holt, Stephen B Fawcett, Ruaa Hassaballa-Muhammad, Dan Partridge, Sonia Jordan

Abstract read
In one paragraph

Article in Health promotion practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Christina M HoltUniversity of Kansas, Lawrence, KS, USA.ORCID 0000-0001-7443-2568
Stephen B FawcettUniversity of Kansas, Lawrence, KS, USA.ORCID 0000-0003-4572-4208
Ruaa Hassaballa-MuhammadLawrence-Douglas County Public Health, Lawrence, KS, USA.
Dan PartridgeLawrence-Douglas County Public Health, Lawrence, KS, USA.
Sonia JordanLawrence-Douglas County Public Health, Lawrence, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic tested the capacity of local health systems to understand and respond to changing conditions. Although data on new cases of COVID-19 were widely shared in communities, there was less information on the multisector response activities and factors associated with implementation. To address this gap, this empirical case study examined (a) the pattern of implementation of COVID-19 response activities and (b) the factors and critical events associated with both the pattern of new cases and the implementation of the local COVID-19 response. We used a participatory monitoring and evaluation system to capture, code, characterize, and communicate 580 COVID-19 response activities implemented in the city of Lawrence and Douglas County, Kansas. Collaboration across sectors including public health, medical services, city/county government, businesses, social services, public schools, and universities enabled the local public health system's response effort. Documentation results showed the varying pattern of new COVID-19 cases and response activities over time and the factors identified as enabling or impeding the response and related new cases. Similar participatory monitoring and evaluation methods can be used by local health systems to help understand and respond to the changing conditions of COVID-19 response and recovery.

Indexed as

COVID-19Public HealthHumansLocal GovernmentPandemicsSARS-CoV-2collaborative actioncommunity researchcounty health departmentsCOVID-19monitoring and evaluationpandemic monitoringpandemic responseparticipatory evaluationparticipatory research

Identifiers

PMID34590896
PMCPMC8564246

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.