Evidence map›Paper›PMID 26359470›Full record

Observational studyJournal of the American Board of Family Medicine : JABFM

Clinician Staffing, Scheduling, and Engagement Strategies Among Primary Care Practices Delivering Integrated Care.

Melinda M Davis, Bijal A Balasubramanian, Maribel Cifuentes, Jennifer Hall, Rose Gunn, Douglas Fernald, Emma Gilchrist, Benjamin F Miller, Frank DeGruy, Deborah J Cohen

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Implementation of behavioral health interventions in real world scenarios: Managing complex change.Families, systems & health : the journal of collaborative family healthcare · 2017
    Observational
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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

10 authors.

Melinda M DavisFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland davismel@ohsu.edu.
Bijal A BalasubramanianFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Maribel CifuentesFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Jennifer HallFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Rose GunnFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Douglas FernaldFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Emma GilchristFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Benjamin F MillerFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Frank DeGruyFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.
Deborah J CohenFrom the Department of Family Medicine (MD), Oregon Health & Science University and Oregon Rural Practice-based Research Network, Portland; Department of Epidemiology, Human Genetics, and Environmental Sciences (BAB), University of Texas Health Science Center Houston School of Public Health, Dallas; Department of Family Medicine (MC, DF, EG, BFM, FD), University of Colorado School of Medicine, Aurora; Department of Family Med-icine (JH, RG), Oregon Health & Science University, Portland; Department of Family Medicine and the Department of Medical Informatics and Clinical Epidemiology (DJC), Oregon Health & Science University, Portland.

Funding

Oregon Patient Centered Outcomes Research K12 ProgramK12HS022981 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI GUISE, JEANNE-MARIE · 2014 to 2018
$4.1M
AHRQ HHS 1 K12 HS022981 01AHRQ HHS K12 HS022981PHS HHS 8846.01-S01
6 · The paper itself

Abstract

purposeTo examine the interrelationship among behavioral health clinician (BHC) staffing, scheduling, and a primary care practice's approach to delivering integrated care.

methodsObservational cross-case comparative analysis of 17 primary care practices in the United States focused on implementation of integrated care. Practices varied in size, ownership, geographic location, and integrated care experience. A multidisciplinary team analyzed documents, practice surveys, field notes from observation visits, implementation diaries, and semistructured interviews using a grounded theory approach.

resultsAcross the 17 practices, staffing ratios ranged from 1 BHC covering 0.3 to 36.5 primary care clinicians (PCCs). BHC scheduling varied from 50-minute prescheduled appointments to open, flexible schedules slotted in 15-minute increments. However, staffing and scheduling patterns generally clustered in 2 ways and enabled BHCs to be engaged by referral or warm handoff. Five practices predominantly used warm handoffs to engage BHCs and had higher BHC-to-PCC staffing ratios; multiple BHCs on staff; and shorter, more flexible BHC appointment schedules. Staffing and scheduling structures that enabled warm handoffs supported BHC engagement with patients concurrent with the identification of behavioral health needs. Twelve practices primarily used referrals to engage BHCs and had lower BHC-to-PCC staffing ratios and BHC schedules prefilled with visits. This enabled some BHCs to bill for services, but also made them less accessible to PCCs in when patients presented with behavioral health needs during a clinical encounter. Three of these practices were experimenting with open scheduling and briefer BHC visits to enable real-time access while managing resources.

conclusionPractices' approaches to PCC-BHC staffing, scheduling, and delivery of integrated care mutually influenced each other and were shaped by the local context. Practice leaders, educators, clinicians, funders, researchers, and policy makers must consider these factors as they seek to optimize integrated systems of care.

Indexed as

Community Mental Health ServicesCross-Sectional StudiesDelivery of Health Care, IntegratedGrounded TheoryHumansMental DisordersPersonnel Staffing and SchedulingPractice Management, MedicalPrimary Health CareReferral and ConsultationUnited StatesDelivery of Health CareIntegratedMental HealthPrimary Health CareQualitative Research

Identifiers

PMID26359470
PMCPMC7304943

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.