Larsen-Cooper Erin, Bancroft Emily, Rajagopal Sharanya, O'Toole Maggie, Levin Ann
1 Health Systems Group, VillageReach , Seattle, Washington.
2 Department of Health Services, University of Washington , Seattle, Washington.
Telemed J E Health. 2016 Apr;22(4):317-24. doi: 10.1089/tmj.2015.0060. Epub 2015 Sep 8.
The primary objectives of this study are to determine cost per user and cost per contact with users of a mobile health (m-health) intervention. The secondary objectives are to map costs to changes in maternal, newborn, and child health (MNCH) and to estimate costs of alternate implementation and usage scenarios.
A base cost model, constructed from recurrent costs and selected capital costs, was used to estimate average cost per user and per contact of an m-health intervention. This model was mapped to statistically significant changes in MNCH intermediate outcomes to determine the cost of improvements in MNCH indicators. Sensitivity analyses were conducted to estimate costs in alternate scenarios.
The m-health intervention cost $29.33 per user and $4.33 per successful contact. The average cost for each user experiencing a change in an MNCH indicator ranged from $67 to $355. The sensitivity analyses showed that cost per user could be reduced by 48% if the service were to operate at full capacity.
We believe that the intervention, operating at scale, has potential to be a cost-effective method for improving maternal and child health indicators.
本研究的主要目标是确定移动健康（m-健康）干预措施的每位用户成本以及与用户每次接触的成本。次要目标是将成本与孕产妇、新生儿和儿童健康（MNCH）的变化相对应，并估算替代实施和使用场景的成本。
使用一个由经常性成本和选定资本成本构建的基础成本模型，来估算m-健康干预措施的每位用户平均成本和每次接触平均成本。该模型与MNCH中间结果的统计学显著变化相对应，以确定MNCH指标改善的成本。进行敏感性分析以估算替代场景下的成本。
m-健康干预措施每位用户成本为29.33美元，每次成功接触成本为4.33美元。经历MNCH指标变化的每位用户的平均成本在67美元至355美元之间。敏感性分析表明，如果该服务满负荷运行，每位用户成本可降低48%。
我们认为，大规模实施的该干预措施有可能成为改善母婴健康指标的一种具有成本效益的方法。
