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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Educating patients at home. Community Health Rap
F Alemi1, R C Stephens, K Muise
1Health Administration Program, Cleveland State University, Ohio, USA.
Objectives:
The authors analyzed the impact of home health education by studying the impact of a computer service called Community Health Rap. When patients call this service, the computer records their questions and alerts an expert who records a response. Subsequently, the computer alerts the patient that the question has been addressed.
Methods:
Subjects included a group of 82 pregnant women who had used cocaine during or 1 month before pregnancy (as reported by the woman) and a group of residents of zip code areas with the lowest income in Cleveland. From the drug-using pregnant women, we collected data regarding satisfaction with Community Health Rap, usage of Community Health Rap per month, self-reported health status (using the General Health Survey), and the extent of drug use (using the Addiction Severity Index). Trained coders also classified the nature of questions posed to the Community Health Rap by either the pregnant women who abuse drugs or the members of target households. Among the pregnant women who abuse drugs, we compared the differences between those who used the service and those who did not. To control for baseline differences between the two groups, analysis of co-variance was used with exit values as the dependent variables, the baseline values as the co-variates, and participation in the Community Health Rap as the independent variable.
Results:
Almost half (45%) of poor, undereducated subjects who lived in inner urban areas used the computer service. Content analysis of Community Health Rap messages revealed that subjects had many questions that were of a social nature (regarding sex, relationships, etc), in addition to medical questions. Analysis showed that poor health status, more frequent drug use, lower education, and age did not affect regular use of Community Health Rap service. No health outcomes or utilization of treatment were associated with regular use of Community Health Rap. One exception, however, was that regular users of Community Health Rap reported slower improvement of their pain than those who did not use Community Health Rap.
Conclusions:
These data suggest that expansion of information services to households will not leave the poor and the undereducated population groups "behind." They will use computer services, though such services may not have an impact on their health status or cost of care.
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