Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study.

Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study.
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DOI:
10.1080/09540121.2013.774315
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发表时间:
2013
期刊:
影响因子:
1.7
通讯作者:
Alamo-Talisuna S
Alamo-Talisuna S
中科院分区:
医学4区
文献类型:
--
作者:
Chang LW;Njie-Carr V;Kalenge S;Kelly JF;Bollinger RC;Alamo-Talisuna S

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MHealth(移动健康技术)代表着越来越多的工具被应用于不同的医疗保健环境。改善艾滋病毒/艾滋病护理的移动健康干预是一项很有前途的战略,但其证据基础有限。我们进行了一项形成性研究评估,为乌干达坎帕拉社区卫生工作者(CHW)使用的新型mHealth艾滋病毒/艾滋病护理干预措施的开发提供信息。采用混合方法形成性研究方法。定性方法包括与社区卫生工作者、诊所工作人员和患者进行20次深度访谈和6个焦点小组。进行了专题分析,并选择了引文来说明主题。量化方法包括对CHW和诊所工作人员进行的一项调查,使用分类和Likert量表回答有关当前手机和互联网接入的问题,以及CHW对智能手机潜在使用的看法。定性结果包括关于当前重大护理挑战、多项感知的移动健康益处和一般干预可接受性的主题。所需的关键mHealth功能包括用于验证CHW任务完成情况的工具、临床决策支持工具以及简单的语音呼叫访问。确定的抑制因素包括对CHW工作保障的担忧和对mHealth能力的不切实际的期望。来自27名工作人员参与者的量化结果发现,26人(96%)在家中没有互联网接入;但只有2人(7.4%)没有移动电话。Likert量表调查回答(1-5,1=强烈不同意,5=强烈同意)表明普遍同意智能手机将提高效率(平均值=4.35)和患者护理(4.31),但可能损害患者机密性(3.88),需要培训(4.63)。定性和定量的结果大体上是一致的,总的来说,人们对移动健康技术充满了热情。然而,也发现了一些潜在的抑制因素。这项研究的发现可能有助于指导未来在这种情况下设计和实施mHealth干预措施,优化他们的成功机会。
mHealth (mobile technologies for health) represents a growing array of tools being applied in diverse health care settings. mHealth interventions for improving HIV/AIDS care is a promising strategy, but its evidence-base is limited. We conducted a formative research evaluation to inform the development of novel, mHealth HIV/AIDS care interventions to be used by community health workers (CHWs) in Kampala, Uganda. A mixed methods formative research approach was utilized. Qualitative methods included 20 in-depth interviews and 6 focus groups with CHWs, clinic staff, and patients. Thematic analysis was performed and selected quotations used to illustrate themes. Quantitative methods consisted of a survey administered to CHWs and clinic staff using categorical and Likert scale questions regarding current mobile phone and internet access and perceptions on the potential use of smartphones by CHWs. Qualitative results included themes on significant current care challenges, multiple perceived mHealth benefits, and general intervention acceptability. Key mHealth features desired included tools to verify CHW task completions, clinical decision support tools, and simple access to voice calling. Inhibiting factors identified included concerns about CHW job security and unrealistic expectations of mHealth capabilities. Quantitative results from 27 staff participants found that 26 (96%) did not have internet access at home; yet, only 2 (7.4%) did not own a mobile phone. Likert scale survey responses (1–5, 1=Strongly Disagree, 5=Strongly Agree) indicated general agreement that smartphones would improve efficiency (Mean=4.35) and patient care (4.31) but might be harmful to patient confidentiality (3.88) and training was needed (4.63). Qualitative and quantitative results were generally consistent, and, overall, there was enthusiasm for mHealth technology. However, a number of potential inhibiting factors were also discovered. Findings from this study may help guide future design and implementation of mHealth interventions in this setting, optimizing their chances for success.
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