Nili Solomonov,Daniel Kerchner,Oded Bein,Courtney E Lee,Jihui L Diaz,Adam Ciarleglio,Soohyun Kim,Jo Anne Sirey,Faith M Gunning,Patrick J Raue,Samprit Banerjee,Patricia A Areán,George S Alexopoulos
{"title":"对老年抑郁症的社会心理干预的精确分配:一个自动的治疗决策规则。","authors":"Nili Solomonov,Daniel Kerchner,Oded Bein,Courtney E Lee,Jihui L Diaz,Adam Ciarleglio,Soohyun Kim,Jo Anne Sirey,Faith M Gunning,Patrick J Raue,Samprit Banerjee,Patricia A Areán,George S Alexopoulos","doi":"10.1001/jamapsychiatry.2025.2518","DOIUrl":null,"url":null,"abstract":"Importance\r\nMost older adults with depression lack access to efficacious psychotherapies due to a critical clinician shortage. Even when treated, response rates are limited to approximately 50%. A treatment decision rule (TDR) may maximize treatment efficacy and resources by assigning patients to their optimal intervention. This is the first study to propose a TDR for late-life depression designed for community settings.\r\n\r\nObjective\r\nTo develop a scalable TDR for assignment to a psychotherapy or usual care intervention for late-life depression that can be delivered easily in community settings.\r\n\r\nDesign, Setting, and Participants\r\nIn this prognostic study, adults 60 years or older with major depression participated in randomized controlled trials comparing psychotherapy with usual care. Participants were recruited from outpatient and community settings of Weill Cornell Medicine and the University of California San Francisco between 2002 and 2011. Data were analyzed from May 2023 to May 2025.\r\n\r\nInterventions\r\nParticipants received either psychotherapy (problem-solving therapy, psychotherapy for late-life depression and medical burden) or usual care (supportive therapy, treatment as usual, or case management).\r\n\r\nMain Outcomes and Measures\r\nThe primary outcome was mean reduction in depression severity (measured by the Hamilton Depression Rating Scale [HAM-D]). A generated effect modifier TDR was applied to identify the optimal intervention for each patient based on baseline characteristics (demographics, depression severity, social support, cognition, and disability). The TDR maximized depression severity reduction and the proportion of patients treated with the usual care intervention.\r\n\r\nResults\r\nIn 427 older adults with late-life depression (mean [SD] age, 72.7 [8.7] years; 70% female), the predicted HAM-D score reduction with TDR-based intervention was a mean of 49.1% (95% CI, 47.4%-51.0%). The TDR improved expected depression severity reduction by 34% compared with usual care (HAM-D reduction, 36.6% [95% CI, 34.5%-38.7%]) and the TDR was somewhat superior to assigning all patients to receive psychotherapy (HAM-D reduction, 46.7% [95% CI, 44.2%-48.8%]). Older adults with higher depression severity, stronger social support, and lower cognitive functioning should receive psychotherapy; those with lower depression severity, higher cognitive functioning, and low social support would benefit from usual care.\r\n\r\nConclusions and Relevance\r\nIn this study of older adults with depression, pending prospective testing, the automatic TDR may be used in community settings to inform treatment assignment. The TDR has the potential to increase precision, cost-effectiveness, and response rates among older adults with depression.\r\n\r\nTrial Registration\r\nClinicalTrials.gov Identifiers: NCT00601055, NCT00151372, NCT00052091, NCT00540865.","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":"47 1","pages":""},"PeriodicalIF":17.1000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Precision Assignment to Psychosocial Interventions for Late-Life Depression: An Automated Treatment Decision Rule.\",\"authors\":\"Nili Solomonov,Daniel Kerchner,Oded Bein,Courtney E Lee,Jihui L Diaz,Adam Ciarleglio,Soohyun Kim,Jo Anne Sirey,Faith M Gunning,Patrick J Raue,Samprit Banerjee,Patricia A Areán,George S Alexopoulos\",\"doi\":\"10.1001/jamapsychiatry.2025.2518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Importance\\r\\nMost older adults with depression lack access to efficacious psychotherapies due to a critical clinician shortage. Even when treated, response rates are limited to approximately 50%. A treatment decision rule (TDR) may maximize treatment efficacy and resources by assigning patients to their optimal intervention. This is the first study to propose a TDR for late-life depression designed for community settings.\\r\\n\\r\\nObjective\\r\\nTo develop a scalable TDR for assignment to a psychotherapy or usual care intervention for late-life depression that can be delivered easily in community settings.\\r\\n\\r\\nDesign, Setting, and Participants\\r\\nIn this prognostic study, adults 60 years or older with major depression participated in randomized controlled trials comparing psychotherapy with usual care. Participants were recruited from outpatient and community settings of Weill Cornell Medicine and the University of California San Francisco between 2002 and 2011. Data were analyzed from May 2023 to May 2025.\\r\\n\\r\\nInterventions\\r\\nParticipants received either psychotherapy (problem-solving therapy, psychotherapy for late-life depression and medical burden) or usual care (supportive therapy, treatment as usual, or case management).\\r\\n\\r\\nMain Outcomes and Measures\\r\\nThe primary outcome was mean reduction in depression severity (measured by the Hamilton Depression Rating Scale [HAM-D]). A generated effect modifier TDR was applied to identify the optimal intervention for each patient based on baseline characteristics (demographics, depression severity, social support, cognition, and disability). The TDR maximized depression severity reduction and the proportion of patients treated with the usual care intervention.\\r\\n\\r\\nResults\\r\\nIn 427 older adults with late-life depression (mean [SD] age, 72.7 [8.7] years; 70% female), the predicted HAM-D score reduction with TDR-based intervention was a mean of 49.1% (95% CI, 47.4%-51.0%). The TDR improved expected depression severity reduction by 34% compared with usual care (HAM-D reduction, 36.6% [95% CI, 34.5%-38.7%]) and the TDR was somewhat superior to assigning all patients to receive psychotherapy (HAM-D reduction, 46.7% [95% CI, 44.2%-48.8%]). Older adults with higher depression severity, stronger social support, and lower cognitive functioning should receive psychotherapy; those with lower depression severity, higher cognitive functioning, and low social support would benefit from usual care.\\r\\n\\r\\nConclusions and Relevance\\r\\nIn this study of older adults with depression, pending prospective testing, the automatic TDR may be used in community settings to inform treatment assignment. 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Precision Assignment to Psychosocial Interventions for Late-Life Depression: An Automated Treatment Decision Rule.
Importance
Most older adults with depression lack access to efficacious psychotherapies due to a critical clinician shortage. Even when treated, response rates are limited to approximately 50%. A treatment decision rule (TDR) may maximize treatment efficacy and resources by assigning patients to their optimal intervention. This is the first study to propose a TDR for late-life depression designed for community settings.
Objective
To develop a scalable TDR for assignment to a psychotherapy or usual care intervention for late-life depression that can be delivered easily in community settings.
Design, Setting, and Participants
In this prognostic study, adults 60 years or older with major depression participated in randomized controlled trials comparing psychotherapy with usual care. Participants were recruited from outpatient and community settings of Weill Cornell Medicine and the University of California San Francisco between 2002 and 2011. Data were analyzed from May 2023 to May 2025.
Interventions
Participants received either psychotherapy (problem-solving therapy, psychotherapy for late-life depression and medical burden) or usual care (supportive therapy, treatment as usual, or case management).
Main Outcomes and Measures
The primary outcome was mean reduction in depression severity (measured by the Hamilton Depression Rating Scale [HAM-D]). A generated effect modifier TDR was applied to identify the optimal intervention for each patient based on baseline characteristics (demographics, depression severity, social support, cognition, and disability). The TDR maximized depression severity reduction and the proportion of patients treated with the usual care intervention.
Results
In 427 older adults with late-life depression (mean [SD] age, 72.7 [8.7] years; 70% female), the predicted HAM-D score reduction with TDR-based intervention was a mean of 49.1% (95% CI, 47.4%-51.0%). The TDR improved expected depression severity reduction by 34% compared with usual care (HAM-D reduction, 36.6% [95% CI, 34.5%-38.7%]) and the TDR was somewhat superior to assigning all patients to receive psychotherapy (HAM-D reduction, 46.7% [95% CI, 44.2%-48.8%]). Older adults with higher depression severity, stronger social support, and lower cognitive functioning should receive psychotherapy; those with lower depression severity, higher cognitive functioning, and low social support would benefit from usual care.
Conclusions and Relevance
In this study of older adults with depression, pending prospective testing, the automatic TDR may be used in community settings to inform treatment assignment. The TDR has the potential to increase precision, cost-effectiveness, and response rates among older adults with depression.
Trial Registration
ClinicalTrials.gov Identifiers: NCT00601055, NCT00151372, NCT00052091, NCT00540865.
期刊介绍:
JAMA Psychiatry is a global, peer-reviewed journal catering to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and related fields. The Archives of Neurology & Psychiatry originated in 1919, splitting into two journals in 1959: Archives of Neurology and Archives of General Psychiatry. In 2013, these evolved into JAMA Neurology and JAMA Psychiatry, respectively. JAMA Psychiatry is affiliated with the JAMA Network, a group of peer-reviewed medical and specialty publications.