Evidence map›Paper›PMID 35332555›Full record

ArticleHealth services research2022

A methodology for identifying behavioral health advanced practice registered nurses in administrative claims.

Jessica V Richard, Haiden A Huskamp, Michael L Barnett, Alisa B Busch, Ateev Mehrotra

Abstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Jessica V RichardDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Michael L BarnettDepartment of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, USA.
Alisa B BuschDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-2223-1582

Funding

Use of Telemedicine in the Treatment of Mental IllnessR01MH112829 · NIMH · HARVARD MEDICAL SCHOOL · PI HUSKAMP, HAIDEN A., MEHROTRA, ATEEV · 2018 to 2025
$5.8M
NIMH NIH HHS R01 MH112829
6 · The paper itself

Abstract

OBJECTIVE (STUDY QUESTION): Advanced practice registered nurses (APRNs) play an increased role in mental illness treatment. Health services research that uses claims to study mental health is often limited because behavioral health nurse practitioners (i.e., APRNs who specialize in mental illness, also known as psychiatric mental health APRNs) cannot be easily identified in claims data. We describe two methodologies to identify behavioral health APRNs in administrative claims. DATA SOURCES/STUDY SETTING (W/ HOSPITAL/INSTITUTION SETTING ANONYMIZED): We use 2010-2018 claims from the traditional Medicare fee-for-service program along with 2010-2019 commercial claims and Medicare Advantage data from the OptumLabs Data Warehouse (OLDW). Self-reported specialty data from the National Plan & Provider Enumeration System (NPPES) were used for validation. STUDY

designFor each APRN, we calculated the percentage of visit diagnoses and of prescriptions in each database that were for mental health and classified those with ≥80% as behavioral health APRNs. We validated our definition with NPPES self-reported specialty for Medicare data. DATA COLLECTION/EXTRACTION

methodsNot applicable. PRINCIPAL

findingsAmong APRNs with 10+ visits, 10,978 (8.1%) in Medicare and 9829 (11.7%) in commercial claims data met our visit-based criteria as behavioral health APRNs. Among APRNs with 10+ prescriptions, 8160 (6.2%) in Medicare and 16,538 (9.0%) in commercial claims data met our prescription-based criteria as behavioral health APRNs. Among the APRNs who self-reported they were behavioral health APRNs, 92.8% and 90.5% met our visit-based and prescription-based criteria, respectively.

conclusionsWe present and validate two methods of identifying behavioral health APRNs in claims that can be used by other researchers.

Indexed as

Advanced Practice NursingMental DisordersNurse PractitionersPsychiatryAgedHumansMedicareUnited Statesadministrative claimsadvanced practice providersadvanced practice registered nursesMedicaremental healthmethods

Identifiers

PMID35332555
PMCPMC9264473

What OpenQuestion holds

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Registered trials

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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.