Dataset Information

Public attitudes about health information technology, and its relationship to health care quality, costs, and privacy.

ABSTRACT:

Objective

To understand Americans' attitudes concerning health information technology's (IT's) potential to improve health care and differences in those attitudes based on demographics and technological affinity.

Data sources/study setting

A random-digit-dial sample with known probability of selection for every household in the United States with a telephone, plus a supplemental sample of cell phone users. Telephone interviews were conducted from August 2009 through November 2009.

Study design

Data were analyzed to present univariate estimates of Americans' opinions of health IT, as well as multivariate logistic regressions to assess hypotheses relating individuals' characteristics to their opinions. Characteristics used in our model include age, race, ethnicity, gender, income, and affinity to technology.

Findings

A large majority (78 percent) favor use of electronic medical records (EMRs); believe EMRs could improve care and reduce costs (78 percent and 59 percent, respectively); believe benefits of EMR use outweigh privacy risks (64 percent); and support health care information sharing among providers (72 percent). Regression analyses show more positive attitudes among those with higher incomes and greater comfort using electronic technologies.

Conclusion

The findings suggest that Americans believe that health IT adoption is an effective means to improve the quality and safety of health care.

SUBMITTER: Gaylin DS

PROVIDER: S-EPMC3097409 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Publications

Public attitudes about health information technology, and its relationship to health care quality, costs, and privacy.

Gaylin Daniel S DS Moiduddin Adil A Mohamoud Shamis S Lundeen Katie K Kelly Jennifer A JA

Health services research 20110128 3

<h4>Objective</h4>To understand Americans' attitudes concerning health information technology's (IT's) potential to improve health care and differences in those attitudes based on demographics and technological affinity.<h4>Data sources/study setting</h4>A random-digit-dial sample with known probability of selection for every household in the United States with a telephone, plus a supplemental sample of cell phone users. Telephone interviews were conducted from August 2009 through November 2009. ...[more]

PMID: 21275986

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Project description:BACKGROUND:Periodic demographic health surveillance and surveys are the main sources of health information in developing countries. Conducting a survey requires extensive use of paper-pen and manual work and lengthy processes to generate the required information. Despite the rise of popularity in using electronic data collection systems to alleviate the problems, sufficient evidence is not available to support the use of electronic data capture (EDC) tools in interviewer-administered data collection processes. OBJECTIVE:This study aimed to compare data quality parameters in the data collected using mobile electronic and standard paper-based data capture tools in one of the health and demographic surveillance sites in northwest Ethiopia. METHODS:A randomized controlled crossover health care information technology evaluation was conducted from May 10, 2016, to June 3, 2016, in a demographic and surveillance site. A total of 12 interviewers, as 2 individuals (one of them with a tablet computer and the other with a paper-based questionnaire) in 6 groups were assigned in the 6 towns of the surveillance premises. Data collectors switched the data collection method based on computer-generated random order. Data were cleaned using a MySQL program and transferred to SPSS (IBM SPSS Statistics for Windows, Version 24.0) and R statistical software (R version 3.4.3, the R Foundation for Statistical Computing Platform) for analysis. Descriptive and mixed ordinal logistic analyses were employed. The qualitative interview audio record from the system users was transcribed, coded, categorized, and linked to the International Organization for Standardization 9241-part 10 dialogue principles for system usability. The usability of this open data kit-based system was assessed using quantitative System Usability Scale (SUS) and matching of qualitative data with the isometric dialogue principles. RESULTS:From the submitted 1246 complete records of questionnaires in each tool, 41.89% (522/1246) of the paper and pen data capture (PPDC) and 30.89% (385/1246) of the EDC tool questionnaires had one or more types of data quality errors. The overall error rates were 1.67% and 0.60% for PPDC and EDC, respectively. The chances of more errors on the PPDC tool were multiplied by 1.015 for each additional question in the interview compared with EDC. The SUS score of the data collectors was 85.6. In the qualitative data response mapping, EDC had more positive suitability of task responses with few error tolerance characteristics. CONCLUSIONS:EDC possessed significantly better data quality and efficiency compared with PPDC, explained with fewer errors, instant data submission, and easy handling. The EDC proved to be a usable data collection tool in the rural study setting. Implementation organization needs to consider consistent power source, decent internet connection, standby technical support, and security assurance for the mobile device users for planning full-fledged implementation and integration of the system in the surveillance site.

Dataset Information

Public attitudes about health information technology, and its relationship to health care quality, costs, and privacy.

Objective

Data sources/study setting

Study design

Findings

Conclusion

Publications

Public attitudes about health information technology, and its relationship to health care quality, costs, and privacy.

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