Evidence map›Paper›PMID 25158915›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2015

Antidepressant Medication Management Among Older Patients Receiving Home Health Care.

Yuhua Bao, Huibo Shao, Martha L Bruce, Matthew J Press

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Yuhua BaoDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY. Electronic address: yub2003@med.cornell.edu.
Huibo ShaoDepartment of Quality, Baptist Memorial Health Care Corporation, Memphis, TN.
Martha L BruceDepartment of Psychiatry, Weill Cornell Medical College, New York, NY.
Matthew J PressDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY; Department of Medicine, Weill Cornell Medical College, New York, NY.
Cornell University · USBaptist Memorial Health Care · US

Funding

Research Methods CoreP30MH085943 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI ALEXOPOULOS, GEORGE S · 2009 to 2013
$9.2M
Homecare Agency-Randomized Trial of Web Implementation Strategy for DepressionR01MH096441 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BRUCE, MARTHA L · 2012 to 2015
$1.6M
Value-based Purchasing in Implementation of Depression Care in Community ClinicsR01MH104200 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAO, YUHUA · 2014 to 2016
$1.3M
Designing Payment and Performance Evaluation for Depression Care ManagementK01MH090087 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAO, YUHUA · 2010 to 2014
$782k
Cost of an Evidence Based Depression Care Management Intervention in Home HealthR03MH085834 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAO, YUHUA · 2009 to 2010
$137k
NIMH NIH HHS K01 MH090087NIMH NIH HHS K01MH090087NIMH NIH HHS P30 MH085943NIMH NIH HHS P30MH085943NIMH NIH HHS R01 MH096441NIMH NIH HHS R01 MH104200NIMH NIH HHS R03 MH085834NIMH NIH HHS R03MH085834
6 · The paper itself

Abstract

objectiveAntidepressant management for older patients receiving home health care (HHC) may occur through two pathways: nurse-physician collaboration (without patient visits to the physician) and physician management through office visits. This study examines the relative contribution of the two pathways and how they interplay.

methodsRetrospective analysis was conducted using Medicare claims of 7,389 depressed patients aged 65 years or older who received HHC in 2006-2007 and who possessed antidepressants at the start of HHC. A change in antidepressant therapy (versus discontinuation or refill) was the main study outcome and could take the form of a change in dose, switch to a different antidepressant, or augmentation (addition of a new antidepressant). Logistic regressions were estimated to examine how use of home health nursing care, patient visits to physicians, and their interactions predict a change in antidepressant therapy.

resultsAbout 30% of patients experienced a change in antidepressants versus 51% who refilled and 18% who discontinued. Receipt of mental health specialty care was associated with a statistically significant, 10- to 20-percentage-point increase in the probability of antidepressant change; receipt of primary care was associated with a small and statistically significant increase in the probability of antidepressant change among patients with no mental health specialty care and above-average utilization of nursing care. Increased home health nursing care in absence of physician visits was not associated with increased antidepressant change.

conclusionsActive antidepressant management resulting in a change in medication occurred on a limited scale among older patients receiving HHC. Addressing knowledge and practice gaps in antidepressant management by primary care providers and home health nurses and improving nurse-physician collaboration will be promising areas for future interventions.

Indexed as

Health Knowledge, Attitudes, PracticeHome Care ServicesMedication Therapy ManagementAgedAged, 80 and overAntidepressive AgentsCooperative BehaviorDepressionFemaleHumansLogistic ModelsMaleMedicareOffice VisitsOutcome Assessment, Health CarePhysician-Nurse RelationsAntidepressive Agentsantidepressantshome health careMedication management

Identifiers

PMID25158915
PMCPMC4291306
OpenAlexW2065021069

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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.