Evidence map›Paper›PMID 34648005›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Building capacity of community health centers to overcome data challenges with the development of an agile COVID-19 public health registry: a multistate quality improvement effort.

Lisa Romero, Pedro B Carneiro, Catharine Riley, Hollie Clark, Raymonde Uy, Michael Park, Tebitha Mawokomatanda, Jennifer M Bombard, Alison Hinckley, Julia Skapik

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Gaps in artificial intelligence research for rural health in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. 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

10 authors.

Lisa RomeroCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Pedro B CarneiroNational Association of Community Health Centers, Department of Clinical Affairs, Bethesda, Maryland, USA.
Catharine RileyCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Hollie ClarkCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Raymonde UyNational Association of Community Health Centers, Department of Clinical Affairs, Bethesda, Maryland, USA.
Michael ParkCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Tebitha MawokomatandaCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Jennifer M BombardCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Alison HinckleyCenters for Disease Control and Prevention COVID-19 Response, Health Systems and Worker Safety Task Force, Atlanta, Georgia, USA.
Julia SkapikNational Association of Community Health Centers, Department of Clinical Affairs, Bethesda, Maryland, USA.

Funding

US Centers for Disease Control and Prevention
6 · The paper itself

Abstract

objectiveDuring the coronavirus disease 2019 (COVID-19) pandemic, federally qualified health centers rapidly mobilized to provide SARS-CoV-2 testing, COVID-19 care, and vaccination to populations at increased risk for COVID-19 morbidity and mortality. We describe the development of a reusable public health data analytics system for reuse of clinical data to evaluate the health burden, disparities, and impact of COVID-19 on populations served by health centers. MATERIALS AND

methodsThe Multistate Data Strategy engaged project partners to assess public health readiness and COVID-19 data challenges. An infrastructure for data capture and sharing procedures between health centers and public health agencies was developed to support existing capabilities and data capacities to respond to the pandemic.

resultsBetween August 2020 and March 2021, project partners evaluated their data capture and sharing capabilities and reported challenges and preliminary data. Major interoperability challenges included poorly aligned federal, state, and local reporting requirements, lack of unique patient identifiers, lack of access to pharmacy, claims and laboratory data, missing data, and proprietary data standards and extraction methods. DISCUSSION: Efforts to access and align project partners' existing health systems data infrastructure in the context of the pandemic highlighted complex interoperability challenges. These challenges remain significant barriers to real-time data analytics and efforts to improve health outcomes and mitigate inequities through data-driven responses.

conclusionThe reusable public health data analytics system created in the Multistate Data Strategy can be adapted and scaled for other health center networks to facilitate data aggregation and dashboards for public health, organizational planning, and quality improvement and can inform local, state, and national COVID-19 response efforts.

Indexed as

COVID-19Capacity BuildingCommunity Health CentersCOVID-19 TestingHumansPublic HealthQuality ImprovementRegistriesSARS-CoV-2COVID-19EHR datahealth centerspublic health informatics infrastructureSARS-CoV-2

Identifiers

PMID34648005
PMCPMC8524633

What OpenQuestion holds

Textmetadata
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.