Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3.

Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3.
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DOI:
10.3390/ijerph17228333
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发表时间:
2020-11-11
影响因子:
--
通讯作者:
Anderson J
Anderson J
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Usmanova G;Gresh A;Cohen MA;Kim YM;Srivastava A;Joshi CS;Bhatt DC;Haws R;Wadhwa R;Sridhar P;Bahl N;Gaikwad P;Anderson J

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不断发展的移动的健康(mHealth)领域正在彻底改变卫生系统中临床数据的收集、管理和质量。特别是在低收入和中等收入国家(LMIC),用于临床决策支持和记录保存的mHealth方法提供了许多潜在的优势,而不是纸质记录和面对面的培训和监督。我们进行了内容分析的定性深入访谈,使用技术接受模型3(TAM-3),探讨供应商和健康管理人员的观点在中央邦和拉贾斯坦邦,印度谁使用ASMAN(拯救母亲和新生儿联盟)平台,一套移动健康技术,以支持在围产期的管理。受访者一致认为ASMAN易于使用,并认为它提高了护理质量,降低了转诊率,确保了在需要时及时转诊,并有助于报告要求。TAM-3模型捕获了许多决定因素的受访者使用行为,包括工作流程和工作绩效的变化。然而,ASMAN数字平台使用的一些障碍是结构性的,在ASMAN使用不太一致的设施中报告得更频繁;这些影响了ASMAN和类似移动健康干预措施的长期影响,可持续性和可扩展性。将该方案移交给政府,确保提供专用资金、人力资源支持、培训以及与政府卫生信息系统的整合,将确保ASMAN的可持续性。
The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.
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