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Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis

BACKGROUND: For consumers to accept and use a health care information system, it must be easy to use, and the consumer must perceive it as being free from effort. Finding health care providers and paying for care are tasks that must be done to access treatment. These tasks require effort on the part...

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Autores principales: Long, Sandra, Monsen, Karen A, Pieczkiewicz, David, Wolfson, Julian, Khairat, Saif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658638/
https://www.ncbi.nlm.nih.gov/pubmed/29025697
http://dx.doi.org/10.2196/medinform.7892
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author Long, Sandra
Monsen, Karen A
Pieczkiewicz, David
Wolfson, Julian
Khairat, Saif
author_facet Long, Sandra
Monsen, Karen A
Pieczkiewicz, David
Wolfson, Julian
Khairat, Saif
author_sort Long, Sandra
collection PubMed
description BACKGROUND: For consumers to accept and use a health care information system, it must be easy to use, and the consumer must perceive it as being free from effort. Finding health care providers and paying for care are tasks that must be done to access treatment. These tasks require effort on the part of the consumer and can be frustrating when the goal of the consumer is primarily to receive treatments for better health. OBJECTIVE: The aim of this study was to determine the factors that result in consumer effort when finding accessible health care. Having an understanding of these factors will help define requirements when designing health information systems. METHODS: A panel of 12 subject matter experts was consulted and the data from 60 million medical claims were used to determine the factors contributing to effort. RESULTS: Approximately 60 million claims were processed by the health care insurance organization in a 12-month duration with the population defined. Over 292 million diagnoses from claims were used to validate the panel input. The results of the study showed that the number of people in the consumer’s household, number of visits to providers outside the consumer’s insurance network, number of adjusted and denied medical claims, and number of consumer inquiries are a proxy for the level of effort in finding and paying for care. The effort level, so measured and weighted per expert panel recommendations, differed by diagnosis. CONCLUSIONS: This study provides an understanding of how consumers must put forth effort when engaging with a health care system to access care. For higher satisfaction and acceptance results, health care payers ideally will design and develop systems that facilitate an understanding of how to avoid denied claims, educate on the payment of claims to avoid adjustments, and quickly find providers of affordable care.
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spelling pubmed-56586382017-11-29 Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis Long, Sandra Monsen, Karen A Pieczkiewicz, David Wolfson, Julian Khairat, Saif JMIR Med Inform Original Paper BACKGROUND: For consumers to accept and use a health care information system, it must be easy to use, and the consumer must perceive it as being free from effort. Finding health care providers and paying for care are tasks that must be done to access treatment. These tasks require effort on the part of the consumer and can be frustrating when the goal of the consumer is primarily to receive treatments for better health. OBJECTIVE: The aim of this study was to determine the factors that result in consumer effort when finding accessible health care. Having an understanding of these factors will help define requirements when designing health information systems. METHODS: A panel of 12 subject matter experts was consulted and the data from 60 million medical claims were used to determine the factors contributing to effort. RESULTS: Approximately 60 million claims were processed by the health care insurance organization in a 12-month duration with the population defined. Over 292 million diagnoses from claims were used to validate the panel input. The results of the study showed that the number of people in the consumer’s household, number of visits to providers outside the consumer’s insurance network, number of adjusted and denied medical claims, and number of consumer inquiries are a proxy for the level of effort in finding and paying for care. The effort level, so measured and weighted per expert panel recommendations, differed by diagnosis. CONCLUSIONS: This study provides an understanding of how consumers must put forth effort when engaging with a health care system to access care. For higher satisfaction and acceptance results, health care payers ideally will design and develop systems that facilitate an understanding of how to avoid denied claims, educate on the payment of claims to avoid adjustments, and quickly find providers of affordable care. JMIR Publications 2017-10-12 /pmc/articles/PMC5658638/ /pubmed/29025697 http://dx.doi.org/10.2196/medinform.7892 Text en ©Sandra Long, Karen A. Monsen, David Pieczkiewicz, Julian Wolfson, Saif Khairat. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 12.10.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Long, Sandra
Monsen, Karen A
Pieczkiewicz, David
Wolfson, Julian
Khairat, Saif
Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title_full Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title_fullStr Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title_full_unstemmed Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title_short Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis
title_sort predicting consumer effort in finding and paying for health care: expert interviews and claims data analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658638/
https://www.ncbi.nlm.nih.gov/pubmed/29025697
http://dx.doi.org/10.2196/medinform.7892
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