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mCARE, a digital health intervention package on pregnancy surveillance and care-seeking reminders from 2018 to 2027 in Bangladesh: a model-based cost-effectiveness analysis.
Jo, Youngji; LeFevre, Amnesty Elizabeth; Ali, Hasmot; Mehra, Sucheta; Alland, Kelsey; Shaikh, Saijuddin; Haque, Rezwanul; Pak, Esther Semee; Chowdhury, Mridul; Labrique, Alain B.
Afiliación
  • Jo Y; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA youngji1435@gmail.com.
  • LeFevre AE; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Ali H; JiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
  • Mehra S; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Alland K; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Shaikh S; JiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
  • Haque R; JiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
  • Pak ES; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Chowdhury M; mPOWER Social Enterprises, Dhaka, Bangladesh.
  • Labrique AB; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
BMJ Open ; 11(4): e042553, 2021 04 01.
Article en En | MEDLINE | ID: mdl-33795294
ABSTRACT

OBJECTIVE:

We estimated the cost-effectiveness of a digital health intervention package (mCARE) for community health workers, on pregnancy surveillance and care-seeking reminders compared with the existing paper-based status quo, from 2018 to 2027, in Bangladesh.

INTERVENTIONS:

The mCARE programme involved digitally enhanced pregnancy surveillance, individually targeted text messages and in-person home-visit to pregnant women for care-seeking reminders for antenatal care, child delivery and postnatal care. STUDY

DESIGN:

We developed a model to project population and service coverage increases with annual geographical expansion (from 1 million to 10 million population over 10 years) of the mCARE programme and the status quo. MAJOR

OUTCOMES:

For this modelling study, we used Lives Saved Tool to estimate the number of deaths and disability-adjusted life years (DALYs) that would be averted by 2027, if the coverage of health interventions was increased in mCARE programme and the status quo, respectively. Economic costs were captured from a societal perspective using an ingredients approach and expressed in 2018 US dollars. Probabilistic sensitivity analysis was undertaken to account for parameter uncertainties.

RESULTS:

We estimated the mCARE programme to avert 3076 deaths by 2027 at an incremental cost of $43 million relative to the status quo, which is translated to $462 per DALY averted. The societal costs were estimated to be $115 million for mCARE programme (48% of which are programme costs, 35% user costs and 17% provider costs). With the continued implementation and geographical scaling-up, the mCARE programme improved its cost-effectiveness from $1152 to $462 per DALY averted from 5 to 10 years.

CONCLUSION:

Mobile phone-based pregnancy surveillance systems with individually scheduled text messages and home-visit reminder strategies can be highly cost-effective in Bangladesh. The cost-effectiveness may improve as it promotes facility-based child delivery and achieves greater programme cost efficiency with programme scale and sustainability.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_financiamento_saude Asunto principal: Aceptación de la Atención de Salud / Atención a la Salud Tipo de estudio: Health_economic_evaluation / Screening_studies Aspecto: Determinantes_sociais_saude / Patient_preference Límite: Child / Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_financiamento_saude Asunto principal: Aceptación de la Atención de Salud / Atención a la Salud Tipo de estudio: Health_economic_evaluation / Screening_studies Aspecto: Determinantes_sociais_saude / Patient_preference Límite: Child / Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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