Evidence map›Paper›PMID 28127772›Full record

ArticleHealth services research2017

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

Bianca K Frogner, Xiaoli Wu, Jeongyoung Park, Patricia Pittman

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

4 authors.

Bianca K FrognerDepartment of Family Medicine, UW Center for Health Workforce Studies, School of Medicine, University of Washington, Seattle, WA.
Xiaoli WuGW Health Workforce Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC.
Jeongyoung ParkSchool of Nursing, The George Washington University, Washington, DC.
Patricia PittmanDepartment of Health Policy and Management, GW Health Workforce Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs). STUDY

settingCommunity health centers within the 50 states and Washington, DC. STUDY

designEstimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit. DATA COLLECTION: 2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011. PRINCIPAL

findingsHaving an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians.

conclusionsElectronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider.

Indexed as

Community Health CentersElectronic Health RecordsForecastingHealth Care SurveysHealth PersonnelHumansMeaningful UsePersonnel Staffing and SchedulingSurveys and QuestionnairesUnited StatesWashingtonWorkforceadministrative data usesEconometricshealth workforce: distribution/incomes/traininginformation technology in healthuninsured/safety net providers

Identifiers

PMID28127772
PMCPMC5269546

What OpenQuestion holds

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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.