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Optimizing treatment cascades for mental healthcare in Mozambique

Preliminary effectiveness of the Systems Analysis and Improvement Approach for Mental Health (Saia-MH)

Bibliographic Data

ID11491871
AuthorsKatrin Fabian (0000-0002-8958-4916, University of Washington, corresponding author), Alberto Muanido (0000-0002-6602-7834, Health Alliance International, Beira, Mozambique), Vasco F J Cumbe (Sofala Provincial Health Directorate, Department of Mental Health, Ministry of Health, Beira, Mozambique), Vasco Cumbe (0000-0002-1131-8597, Eduardo Mondlane University), Nelia Manaca (Health Alliance International, Beira, Mozambique), Leecreesha Hicks (Health Alliance International, Seattle, WA, USA), Bryan J Weiner (0000-0002-6996-9480, University of Washington), Kenneth Sherr (0000-0002-2963-0829, University of Washington), Bradley H Wagenaar (0000-0002-3351-7175, University of Washington)
Year2021
Volume35
Issue10
Pages1354-1363
Publication date2021-02-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Policy and Planning (JOURNAL)
Journal identifiersISSN: 0268-1080 • E-ISSN: 1460-2237
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/heapol/czaa114
PMID33221835
OpenAlexW3106595660
LanguageEN
Citations received1
References cited23

Substantial investments are being made to scale-up access to mental healthcare in low- and middle-income countries, but less attention has been paid to quality and performance of nascent public-sector mental healthcare systems. This study tested the initial effectiveness of an implementation strategy to optimize routine outpatient mental healthcare cascade performance in Mozambique [the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH)]. This study employed a pre–post design from September 2018 to August 2019 across four Ministry of Health clinics among 810 patients and 3234 outpatient mental health visits. Effectiveness outcomes evaluated progression through the care cascade, including: (1) initial diagnosis and medication selection; (2) enrolling in follow-up care; (3) returning after initial consultation within 60 days; (4) returning for follow-up visits on time; (5) returning for follow-up visits adherent to medication and (6) achieving function improvement. Clustered generalized linear models evaluated odds of completing cascade steps pre- vs post-intervention. Facilities prioritized improvements focused on the follow-up cascade, with 62.5% (10 of 16) monthly system modifications targeting medication adherence. At baseline, only 4.2% of patient visits achieved function improvement; during the 6 months of SAIA-MH implementation, this improved to 13.1% of patient visits. Multilevel logistic regression found increased odds of returning on time and adherent [aOR = 1.53, 95% CI (1.21, 1.94), P = 0.0004] and returning on time, adherent and with function improvement [aOR = 3.68, 95% CI (2.57, 5.44), P < 0.0001] after SAIA-MH implementation. No significant differences were observed regarding other cascade steps. The SAIA-MH implementation strategy shows promise for rapidly and significantly improving mental healthcare cascade outcomes, including the ultimate goal of patient function improvement. Given poor baseline mental healthcare cascade performance, there is an urgent need for evidence-based implementation strategies to optimize the performance of mental healthcare cascades in low- and middle-income countries

Christian ministry · Family medicine · Health care · Logistic regression · Mental health · Odds · Odds ratio · Psychiatry · Psychological intervention · Scale (ratio) · Health Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Internal Medicine · Medicine · Mental Health Treatment and Access · Nursing

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Unique citing works1
Citations per year0.33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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