Evidence map›Paper›PMID 34279657›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Impact of implementing electronic prior authorization on medication filling in an electronic health record system in a large healthcare system.

Julie C Lauffenburger, Cheryl D Stults, Satish Mudiganti, Xiaowei Yan, Lisa M Dean-Gilley, Mengdong He, Angela Tong, Michael A Fischer

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Could an artificial intelligence approach to prior authorization be more human?Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  5. Article
  6. Article
  7. Priorities to accelerate workflow automation in health care.Journal of the American Medical Informatics Association : JAMIA · 2022
    Review
  8. Article
  9. Review
  10. 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

8 authors.

Julie C LauffenburgerDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Cheryl D StultsDepartment of Research, Development & Dissemination, Sutter Health, Research, Development & Dissemination, Walnut Creek, California, USA.
Satish MudigantiDepartment of Research, Development & Dissemination, Sutter Health, Research, Development & Dissemination, Walnut Creek, California, USA.
Xiaowei YanDepartment of Research, Development & Dissemination, Sutter Health, Research, Development & Dissemination, Walnut Creek, California, USA.
Lisa M Dean-GilleyDepartment of Research, Development & Dissemination, Sutter Health, Research, Development & Dissemination, Walnut Creek, California, USA.
Mengdong HeDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Angela TongDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Michael A FischerDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

Development of a novel medication adherability tool to improve cardiovascular disease managementK01HL141538 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAUFFENBURGER, JULIE CHRISTINE · 2018 to 2022
$718k
NHLBI NIH HHS K01 HL141538NIH HHS K01HL141538
6 · The paper itself

Abstract

objectiveMedications frequently require prior authorization from payers before filling is authorized. Obtaining prior authorization can create delays in filling prescriptions and ultimately reduce patient adherence to medication. Electronic prior authorization (ePA), embedded in the electronic health record (EHR), could remove some barriers but has not been rigorously evaluated. We sought to evaluate the impact of implementing an ePA system on prescription filling. MATERIALS AND

methodsePA was implemented in 2 phases in September and November 2018 in a large US healthcare system. This staggered implementation enabled the later-implementing sites to be controls. Using EHR data from all prescriptions written and linked information on whether prescriptions were filled at pharmacies, we 1:1 matched ePA prescriptions with non-ePA prescriptions for the same insurance plan, medication, and site, before and after ePA implementation, to evaluate primary adherence, or the proportion of prescriptions filled within 30 days, using generalized estimating equations. We also conducted concurrent analyses across sites during the peri-implementation period (Sept-Oct 2018).

resultsOf 74 546 eligible ePA prescriptions, 38 851 were matched with preimplementation controls. In total, 24 930 (64.2%) ePA prescriptions were filled compared with 26 731 (68.8%) control prescriptions (Adjusted Relative Risk [aRR]: 0.92, 95%CI: 0.91-0.93). Concurrent analyses revealed similar findings (64.7% for ePA vs 62.3% control prescriptions, aRR: 1.03, 95%CI: 0.98-1.09). DISCUSSION: Challenges with implementation, such as misfiring and insurance fragmentation, could have undermined its effectiveness, providing implications for other health informatics interventions deployed in outpatient care.

conclusionDespite increasing interest in implementing ePA to improve prescription filling, adoption did not change medication adherence.

Indexed as

Electronic PrescribingPrior AuthorizationElectronic Health RecordsElectronicsHumansMedication Adherenceelectronic health recordshealth informaticsimplementation sciencemedication adherencemedications

Identifiers

PMID34279657
PMCPMC8449617

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.