Evidence map›Paper›PMID 31039066›Full record

ArticleJournal of managed care & specialty pharmacy2019

A Primer for Managed Care Residents: How to Conduct Research Using Live Medical and Pharmacy Claims Data.

Anna Hung, Rodney Gedey, Marti Groeneweg, Michelle Jay

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Predicting pharmacy choice for managed care network design.Journal of managed care & specialty pharmacy · 2026
    Article
  2. 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

4 authors.

Anna Hung1 Duke Clinical Research Institute, Durham, North Carolina.
Rodney Gedey2 Envolve, Rancho Cordova, California.
Marti Groeneweg3 Kaiser Permanente, Portland, Oregon.
Michelle Jay4 CVS Health, Fulton, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managed care organizations are growing more sophisticated in their ability to analyze data. There are increasing numbers of data analysts at managed care organizations, as well as more types of real-time, or "live," data available. These data range from pharmacy claims and enrollment files to medical claims, medical records, and linkages to external data. Moreover, the data are often curated in a way that allows for easier data analysis. Using these data, managed care residents are often required to perform a project to evaluate a utilization management policy or clinical program. Yet, there is a lack of guidance specific to managed care organizations on how to conduct such a research study using "live" claims data. This Viewpoint article provides a primer for managed care residents and other managed care professionals who are seeking to use data to help inform decisions on how to manage their beneficiaries' health and costs. DISCLOSURES: There was no funding source for this manuscript. Hung reports a grant from the Agency for Healthcare Research and Quality and personal fees from Blue Cross Blue Shield Association, outside the submitted work. Gedey, Groeneweg, and Jay have nothing to disclose.

Indexed as

Research DesignData Interpretation, StatisticalHumansInsurance Claim ReviewInternship and ResidencyManaged Care ProgramsPharmaceutical ServicesPharmacy ResearchUnited States

Identifiers

PMID31039066
PMCPMC10398282

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.