2018
DOI: 10.1186/s12884-018-2019-3
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Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India

Abstract: BackgroundThe main intervention under ReMiND program consisted of a mobile health application which was used by community health volunteers, called ASHAs, for counselling pregnant women and nursing mothers. This program was implemented in two rural blocks in Uttar Pradesh state of India with an overall aim to increase quality of health care, thereby increasing utilization of maternal & child health services. The aim of the study was to assess annual & unit cost of ReMiND program and its scale up in UP state.Me… Show more

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Cited by 28 publications
(29 citation statements)
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“…computers, software developers) [ 26 ]. However, mHealth programmes have reported to be sustainable in the management of other diseases [ 110 ]. Further outcome dimensions need to be evaluated that go beyond the performance of the mobile phone in order to understand their real impact on arboviruses.…”
Section: Discussionmentioning
confidence: 99%
“…computers, software developers) [ 26 ]. However, mHealth programmes have reported to be sustainable in the management of other diseases [ 110 ]. Further outcome dimensions need to be evaluated that go beyond the performance of the mobile phone in order to understand their real impact on arboviruses.…”
Section: Discussionmentioning
confidence: 99%
“…Our results must be considered with caution, given the scarcity of information related to this outcome. However, positive cost outcomes using mHealth interventions in other diseases have been con rmed in various studies (Prinja et al, 2018;Iribarren et al 2017). Further studies are needed in order to better understand their economic bene t for the prevention and control of arboviral diseases.…”
Section: Findings Of Outcome Dimensionsmentioning
confidence: 99%
“…This was done in view of the fact that the risk of transmission of BBIs is dependent on the route of administration. An extensive review of the literature was undertaken to obtain data on the extent and patterns of the healthcare workforce [42] (Supplementary Appendix, Section D, Table 1), morbidity rate, treatment-seeking behaviours and patterns of care utilization [32], frequency of injections [3], route of administration [43], treatment by different healthcare professionals [44], risk of NSI using a disposable syringe [44,45], syringe reuse rates [45,46], prevalence of HBV, HCV and HIV [47][48][49][50], risk-transmission coefficient as a result of NSI or reuse [51], and all-cause mortality rates [52]. We have assumed a wide uncertainty range for transmission coefficients as there is a scarcity of reliable data in the Indian setting on the risk of HIV transmission per sex act.…”
Section: Modelling Health Benefitsmentioning
confidence: 99%
“…In situations where the rates were available for a longer time period, we assumed uniform progression during intervening cycles. Year-wise all-cause mortality rates obtained from Sample Registration System (SRS) life tables were used [52].…”
Section: Markov State Transitionsmentioning
confidence: 99%