Lauren M Mitchell1, Udita Joshi2, Vikram Patel3, Chunling Lu4, John A Naslund5. 1. Department of Internal Medicine, New York Presbyterian Hospital - Weill Cornell, New York, NY, USA. Electronic address: laurenmitchell@post.harvard.edu. 2. Sangath, Bhopal, India. 3. Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Harvard T H Chan School of Public Health, Boston, MA, USA. 4. Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Division of Global Health Equity, Brigham & Women's Hospital, Boston, MA, USA. 5. Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Abstract
BACKGROUND: Internet-based interventions show clinical effectiveness for treating anxiety disorders and depression and could make mental healthcare more affordable. METHODS: We searched databases including PubMed; EMBASE; Cochrane Central; PsychINFO; CINAHL; EconLit; and Web of Science from January 1, 2000 to August 21, 2020. Inclusion criteria were: 1) pertained to the treatment or prevention of anxiety disorders or depression; 2) evaluated the use of an internet-delivered psychological intervention; 3) recruited participants; and 4) reported costs or cost-effectiveness. RESULTS: Of the 6,069 articles identified, 33 targeted anxiety (N=13) and depression (n=20) and met final inclusion criteria. All studies were from high-income countries. The control conditions and cost components included were heterogeneous. Only eight studies reported costs of developing the intervention. Of 27 studies that made a conclusion about cost-effectiveness, 81% of interventions were cost-effective. The quality of studies included was high based on a quality assessment checklist of economic evaluations, although many studies did not include definitions of cost components or differentiate between patient-side and system-level costs. LIMITATIONS: Studies varied in methodology, making conclusions about cost-effectiveness difficult. The generalizability of these results is unclear as studies were clustered in a small number of high-income countries and costs vary over time and between regions. CONCLUSIONS: Internet-delivered interventions appeared to be cost-effective although control conditions and cost component reporting were variable. We propose a checklist of cost components for future cost analyses to better compare intervention costs. More research is needed to describe development costs, cost-effectiveness in low-resource settings, and cost-effectiveness of newer technologies.
BACKGROUND: Internet-based interventions show clinical effectiveness for treating anxiety disorders and depression and could make mental healthcare more affordable. METHODS: We searched databases including PubMed; EMBASE; Cochrane Central; PsychINFO; CINAHL; EconLit; and Web of Science from January 1, 2000 to August 21, 2020. Inclusion criteria were: 1) pertained to the treatment or prevention of anxiety disorders or depression; 2) evaluated the use of an internet-delivered psychological intervention; 3) recruited participants; and 4) reported costs or cost-effectiveness. RESULTS: Of the 6,069 articles identified, 33 targeted anxiety (N=13) and depression (n=20) and met final inclusion criteria. All studies were from high-income countries. The control conditions and cost components included were heterogeneous. Only eight studies reported costs of developing the intervention. Of 27 studies that made a conclusion about cost-effectiveness, 81% of interventions were cost-effective. The quality of studies included was high based on a quality assessment checklist of economic evaluations, although many studies did not include definitions of cost components or differentiate between patient-side and system-level costs. LIMITATIONS: Studies varied in methodology, making conclusions about cost-effectiveness difficult. The generalizability of these results is unclear as studies were clustered in a small number of high-income countries and costs vary over time and between regions. CONCLUSIONS: Internet-delivered interventions appeared to be cost-effective although control conditions and cost component reporting were variable. We propose a checklist of cost components for future cost analyses to better compare intervention costs. More research is needed to describe development costs, cost-effectiveness in low-resource settings, and cost-effectiveness of newer technologies.
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