Evidence map›Paper›PMID 32667953›Full record

ArticlePloS one2020

Impact of health information technology optimization on clinical quality performance in health centers: A national cross-sectional study.

Robert Baillieu, Hank Hoang, Alek Sripipatana, Suma Nair, Sue C Lin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 2 institutions in 1 country.

Robert BaillieuRobert Graham Center for Policy Studies in Primary Care Washington, Washington, DC, United States of America.ORCID 0000-0003-4441-7396
Hank HoangUS Department of Health and Human Service, Health Resources and Services Administration, Bureau of Primary Health Care, Office of Quality Improvement, Rockville, MD, United States of America.ORCID 0000-0001-8538-8515
Alek SripipatanaUS Department of Health and Human Service, Health Resources and Services Administration, Bureau of Primary Health Care, Office of Quality Improvement, Rockville, MD, United States of America.ORCID 0000-0002-3078-0111
Suma NairUS Department of Health and Human Service, Health Resources and Services Administration, Bureau of Primary Health Care, Office of Quality Improvement, Rockville, MD, United States of America.ORCID 0000-0003-1144-7513
Sue C LinUS Department of Health and Human Service, Health Resources and Services Administration, Bureau of Primary Health Care, Office of Quality Improvement, Rockville, MD, United States of America.ORCID 0000-0002-2631-4564
Health Resources and Services Administration · USCenter For Policy Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelivery of preventive care and chronic disease management are key components of a high functioning primary care practice. Health Centers (HCs) funded by the Health Resources and Services Administration (HRSA) have been delivering affordable and accessible primary health care to patients in underserved communities for over fifty years. This study examines the association between health center organization's health information technology (IT) optimization and clinical quality performance. METHODS AND

findingsUsing 2016 Uniform Data System (UDS) data, we performed bivariate and multivariate analyses to study the association of Meaningful Use (MU) attestation as a proxy for health IT optimization, patient centered medical home (PCMH) recognition status, and practice size on performance of twelve electronically specified clinical quality measures (eCQMs). Bivariate analysis demonstrated performance of eleven out of the twelve preventive and chronic care eCQMs was higher among HCs attesting to MU Stage 2 or above. Multivariate analysis demonstrated that Stage 2 MU or above, PCMH status, and larger practice size were positively associated with performance on cancer screening, smoking cessation counseling and pediatric weight assessment and counseling eCQMs.

conclusionsOrganizational advancement in MU stages has led to improved quality of care that augments HCs patient care capacity for disease prevention, health promotion, and chronic care management. However, rapid technological advancement in health care acts as a potential source of disparity, as considerable resources needed to optimize the electronic health record (EHR) and to undertake PCMH transformation are found more commonly among larger HCs practices. Smaller practices may lack the financial, human and educational assets to implement and to maintain EHR technology. Accordingly, targeted approaches to support small HCs practices in leveraging economies of scale for health IT optimization, clinical decision support, and clinical workflow enhancements are critical for practices to thrive in the dynamic value-based payment environment.

Indexed as

Quality ImprovementAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHealth PromotionHumansInfantInfant, NewbornMaleMedical InformaticsMiddle AgedPatient-Centered Care

Identifiers

PMID32667953
PMCPMC7363086
OpenAlexW3043276499

What OpenQuestion holds

Textmetadata
LicenceCC0
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.