Suppr超能文献

在有重度抑郁症的退伍军人中,初级保健和专科设置中的治疗差异。

Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression.

机构信息

From the Department of Health Care Policy, Harvard Medical School, Boston, MA (VP-P, HL, HNZ, RCK); the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY (VP-P); the Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LBL); the Division of General Internal Medicine, and Health Services Research, UCLA David Geffen School of Medicine, Los Angeles, CA (LBL); the Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, (RMB); the Center of Excellence for Suicide Prevention, Canandaigua VAMC, Canandaigua, NY (RMB, HL, WRP); the VA Ann Arbor, Center for Clinical Management Research, Ann Arbor, MI (CB, JNK, EPP); the Department of Psychiatry, University of Rochester Medical Center, Rochester, NY (WRP); the Department of Medicine, University of Michigan Medical School, Ann Arbor (EPP); the Cpl Michael J Crescenz VA Medical Center, VISN 4 Mental Illness Research Education and Clinical Center, Philadelphia, PA (DWO); the Perelman School of Medicine, University of Pennsylvania, Philadelphia (DWO).

出版信息

J Am Board Fam Med. 2021 Mar-Apr;34(2):268-290. doi: 10.3122/jabfm.2021.02.200475.

Abstract

INTRODUCTION

The Veterans Health Administration (VHA) supports the nation's largest primary care-mental health integration (PC-MHI) collaborative care model to increase treatment of mild to moderate common mental disorders in primary care (PC) and refer more severe-complex cases to specialty mental health (SMH) settings. It is unclear how this treatment assignment works in practice.

METHODS

Patients (n = 2610) who sought incident episode VHA treatment for depression completed a baseline self-report questionnaire about depression severity-complexity. Administrative data were used to determine settings and types of treatment during the next 30 days.

RESULTS

Thirty-four percent (34.2%) of depressed patients received treatment in PC settings, 65.8% in SMH settings. PC patients had less severe and fewer comorbid depressive episodes. Patients with lowest severity and/or complexity were most likely to receive PC antidepressant medication treatment; those with highest severity and/or complexity were most likely to receive combined treatment in SMH settings. Assignment of patients across settings and types of treatment was stronger than found in previous civilian studies but less pronounced than expected (cross-validated AUC = 0.50-0.68).

DISCUSSION

By expanding access to evidence-based treatments, VHA's PC-MHI increases consistency of treatment assignment. Reasons for assignment being less pronounced than expected and implications for treatment response will require continued study.

摘要

简介

退伍军人健康管理局 (VHA) 支持全国最大的初级保健-心理健康综合 (PC-MHI) 合作护理模式,以增加初级保健 (PC) 中对轻度至中度常见精神障碍的治疗,并将更多严重复杂的病例转介到专业心理健康 (SMH) 环境中。目前尚不清楚这种治疗分配在实践中是如何运作的。

方法

寻求 VHA 治疗抑郁的新发病例的患者 (n = 2610) 在基线时完成了一份关于抑郁严重程度-复杂性的自我报告问卷。使用行政数据来确定接下来 30 天内的治疗设置和类型。

结果

34%(34.2%)的抑郁患者在 PC 环境中接受治疗,65.8%在 SMH 环境中接受治疗。PC 患者的抑郁发作严重程度和共病程度较低。严重程度和/或复杂性最低的患者最有可能接受 PC 抗抑郁药物治疗;严重程度和/或复杂性最高的患者最有可能在 SMH 环境中接受联合治疗。与以前的平民研究相比,患者在不同环境和治疗类型之间的分配更强,但不如预期明显(交叉验证 AUC = 0.50-0.68)。

讨论

通过扩大对循证治疗的获取,VHA 的 PC-MHI 增加了治疗分配的一致性。需要进一步研究分配不如预期明显的原因及其对治疗反应的影响。

相似文献

1
Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression.
J Am Board Fam Med. 2021 Mar-Apr;34(2):268-290. doi: 10.3122/jabfm.2021.02.200475.
4
Integrated care: treatment initiation following positive depression screens.
J Gen Intern Med. 2013 Mar;28(3):346-52. doi: 10.1007/s11606-012-2218-y. Epub 2012 Nov 13.
6
Effects of Virtual Care and Same-Day Access to Integrated Care on Specialty Mental Health Engagement in the Veterans Health Administration.
J Prim Care Community Health. 2023 Jan-Dec;14:21501319231159311. doi: 10.1177/21501319231159311.
9
Primary Care-Mental Health Integration in the VA: Shifting Mental Health Services for Common Mental Illnesses to Primary Care.
Psychiatr Serv. 2018 Apr 1;69(4):403-409. doi: 10.1176/appi.ps.201700190. Epub 2017 Dec 15.
10
Association of Veterans Affairs Primary Care Mental Health Integration With Care Access Among Men and Women Veterans.
JAMA Netw Open. 2020 Oct 1;3(10):e2020955. doi: 10.1001/jamanetworkopen.2020.20955.

引用本文的文献

1
Development of a model to predict antidepressant treatment response for depression among Veterans.
Psychol Med. 2023 Aug;53(11):5001-5011. doi: 10.1017/S0033291722001982. Epub 2022 Jul 15.
2
3
Are Veterans Getting Their Preferred Depression Treatment? A National Observational Study in the Veterans Health Administration.
J Gen Intern Med. 2022 Oct;37(13):3235-3241. doi: 10.1007/s11606-021-07136-2. Epub 2021 Oct 6.

本文引用的文献

2
Time and Organizational Cost for Facilitating Implementation of Primary Care Mental Health Integration.
J Gen Intern Med. 2020 Apr;35(4):1001-1010. doi: 10.1007/s11606-019-05537-y. Epub 2019 Dec 2.
3
Veterans Health Administration Investments In Primary Care And Mental Health Integration Improved Care Access.
Health Aff (Millwood). 2019 Aug;38(8):1281-1288. doi: 10.1377/hlthaff.2019.00270.
4
The prevalence and trend of depression among veterans in the United States.
J Affect Disord. 2019 Feb 15;245:724-727. doi: 10.1016/j.jad.2018.11.031. Epub 2018 Nov 5.
5
The Role of Primary Care Experiences in Obtaining Treatment for Depression.
J Gen Intern Med. 2018 Aug;33(8):1366-1373. doi: 10.1007/s11606-018-4522-7. Epub 2018 Jun 8.
7
Primary Care-Mental Health Integration in the VA: Shifting Mental Health Services for Common Mental Illnesses to Primary Care.
Psychiatr Serv. 2018 Apr 1;69(4):403-409. doi: 10.1176/appi.ps.201700190. Epub 2017 Dec 15.
8
9
Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014-2016.
BMC Health Serv Res. 2017 Aug 17;17(1):572. doi: 10.1186/s12913-017-2504-9.
10
Narrative review of provider behavior in primary care behavioral health: How process data can inform quality improvement.
Fam Syst Health. 2017 Sep;35(3):257-270. doi: 10.1037/fsh0000263. Epub 2017 May 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验