Evidence map›Paper›PMID 31328131›Full record

ReviewEGEMS (Washington, DC)2019

Health Information Technology and Accountable Care Organizations: A Systematic Review and Future Directions.

Casey P Balio, Nate C Apathy, Robin L Danek

Open access · diamondAbstract readReview
In one paragraph

Review in EGEMS (Washington, DC), 2019. 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
2.1field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Implementation of a Machine Learning Risk Prediction Model for Postpartum Depression in the Electronic Health Records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  4. Article
  5. 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

3 authors at 2 institutions in 1 country.

Casey P BalioIndiana University Richard M. Fairbanks School of Public Health, US.ORCID 0000-0002-2987-4268
Nate C ApathyIndiana University Richard M. Fairbanks School of Public Health, US.
Robin L DanekIndiana University Richard M. Fairbanks School of Public Health, US.
Richard M. Fairbanks Foundation · USRegenstrief Institute · US

Funding

The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
NLM NIH HHS T15 LM012502
6 · The paper itself

Abstract

backgroundSince the inception of Accountable Care Organizations (ACOs), many have acknowledged the potential synergy between ACOs and health information technology (IT) in meeting quality and cost goals.

objectiveWe conducted a systematic review of the literature in order to describe what research has been conducted at the intersection of health IT and ACOs and identify directions for future research.

methodsWe identified empirical studies discussing the use of health IT via PubMed search with subsequent snowball reference review. The type of health IT, how health IT was included in the study, use of theory, population, and findings were extracted from each study.

resultsOur search resulted in 32 studies describing the intersection of health IT and ACOs, mainly in the form of electronic health records and health information exchange. Studies were divided into three streams by purpose; those that considered health IT as a factor for ACO participation, health IT use by current ACOs, and ACO performance as a function of health IT capabilities. Although most studies found a positive association between health IT and ACO participation, studies that address the performance of ACOs in terms of their health IT capabilities show more mixed results.

conclusionsIn order to better understand this emerging relationship between health IT and ACO performance, we propose future research should consider more quasi-experimental studies, the use of theory, and merging health, quality, cost, and health IT use data across ACO member organizations.

Indexed as

accountable care organizationClinical Health Actelectronic health recordshealth information exchangehealth information technologyHealth Information Technology for EconomicPatient Protection and Affordable Care Act

Identifiers

PMID31328131
PMCPMC6625537
OpenAlexW2958438213

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.