Evidence map›Paper›PMID 24597483›Full record

ArticleBMC health services research2014

Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices.

John W Epling, Emily M Mader, Christopher P Morley

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.6field-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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Roadmap to the Effective Use of Continuous Glucose Monitoring in Primary Care.Diabetes spectrum : a publication of the American Diabetes Association · 2023
    Article
  3. Article
  4. 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 1 institution in 1 country.

John W Epling
Emily M Mader
Christopher P MorleyDepartment of Family Medicine, SUNY Upstate Medical University, 750 E, Adams St,, MIMC 200, Syracuse, NY 13066, USA. morleycp@upstate.edu.
SUNY Upstate Medical University · US

Funding

PHS HHS D54HP05462/D5AHP19904PHS HHS D54HP23297
6 · The paper itself

Abstract

backgroundAn increase in prior authorization (PA) requirements from health insurance companies is placing administrative and financial burdens on primary care offices across the United States. As time allocation for these cases continues to grow, physicians are concerned with additional workload and inefficiency in the workplace. The objective is to estimate the effects of practice characteristics on time spent per prior authorization request in primary care practices.

methodsSecondary analysis was performed using data on nine primary care practices in Central New York. Practice characteristics and demographics were collected at the onset of the study. In addition, participants were instructed to complete an "event form" (EF) to document each prior authorization event during a 4-6 week period; prior authorizations included requests for medication as well as other health care services. Stepwise Ordinary Least Squares (OLS) Regression was used to model Time in Minutes of each event as an outcome of various factors.

resultsPrior authorization events (N = 435) took roughly 20 minutes to complete (beta = 20.017, p < .001); Medicaid requests took less time (beta = -6.085, p < .001), and Electronic Health Record (EHR) system use reduced prior authorization time by about 5 minutes (beta = -5.086, p = .002).

conclusionsWhile prior authorization events impose substantial costs to primary care offices, it appears that Medicaid requests take less time than private payer requests. Results from the study provide support that Electronic Health Record usage may also reduce time required to complete prior authorization requests.

Indexed as

Group PracticeHumansInsurance, Health, ReimbursementNew YorkPrimary Health CarePrivate PracticeTime Factors

Identifiers

PMID24597483
PMCPMC3945478
OpenAlexW2110661846

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.