Int J Med Inform - Theorizing the health service usage behavior of family caregivers: a qualitative study of an internet-based intervention.

Tópicos

{ use(2086) technolog(871) perceiv(783) }
{ survey(1388) particip(1329) question(1065) }
{ inform(2794) health(2639) internet(1427) }
{ health(3367) inform(1360) care(1135) }
{ care(1570) inform(1187) nurs(1089) }
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{ decis(3086) make(1611) patient(1517) }
{ take(945) account(800) differ(722) }
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{ data(1737) use(1416) pattern(1282) }
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{ case(1353) use(1143) diagnosi(1136) }
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{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ bind(1733) structur(1185) ligand(1036) }
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{ model(2220) cell(1177) simul(1124) }
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{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
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Resumo

RPOSE: The purpose of this qualitative study was to improve understanding of family caregivers' use of Web-based intervention support by integrating three theoretical models. The study applied the Anderson's model of health service utilization, Venkatesh's theory of technology acceptance, and Chatman's and Wilson's information behavior theories.METHODS: This qualitative study is part of a larger study. An interpretive grounded theory approach was used to conduct in-depth interviews with Chinese caregivers of family members with dementia. The caregivers received Internet-based information support and personalized e-mail intervention. A purposive sample of fourteen caregivers was selected to participate in the interviews. Constant comparison, analytic memoing, case analysis, and concept mapping were used to conduct theoretical triangulation analysis.RESULTS: Three main factors influenced the use of the intervention: (a) caregiver needs, which are influenced by personal capacity, social support available, and caregiving belief; (b) information communication technology (ICT) factors, including accessibility barriers and perceived efforts to use the technology; and (c) style of using the technology, such as preference for using e-mail or the customized Website. The personal capacity of caregivers was influenced by many factors, including computer and language proficiency, health service knowledge, caregiving competence and competing roles and responsibilities. Social support available for caregivers included available computer, language or caregiving support and health service knowledge. Caregiving belief included traditional belief of giving care, and health belief of the illness. New caregivers needed a different kind of support intervention compared with experienced caregivers. Caregivers with different amounts of experience tended to have different learning styles, with new caregivers preferring interactive intervention and more experienced caregivers preferring more reflective learning.CONCLUSIONS: This study reinforced the findings of the larger quantitative study that it is important to address both care-giving needs and technology factors in Internet-based intervention. The quantitative study found that less competent caregivers with more positive attitudes towards technology tended to use the intervention more frequently. In this qualitative research, the findings revealed that caregiver needs, ICT factors, and style of use explained the pattern of intervention use. This new conceptualization has integrated information acceptance, health service utilization, and information behavior theories. More studies will be needed to confirm if the proposed concept can explain or predict the usage behavior in other Web-based interventions.

Resumo Limpo

rpose purpos qualit studi improv understand famili caregiv use webbas intervent support integr three theoret model studi appli anderson model health servic util venkatesh theori technolog accept chatman wilson inform behavior theoriesmethod qualit studi part larger studi interpret ground theori approach use conduct indepth interview chines caregiv famili member dementia caregiv receiv internetbas inform support person email intervent purpos sampl fourteen caregiv select particip interview constant comparison analyt memo case analysi concept map use conduct theoret triangul analysisresult three main factor influenc use intervent caregiv need influenc person capac social support avail caregiv belief b inform communic technolog ict factor includ access barrier perceiv effort use technolog c style use technolog prefer use email custom websit person capac caregiv influenc mani factor includ comput languag profici health servic knowledg caregiv compet compet role respons social support avail caregiv includ avail comput languag caregiv support health servic knowledg caregiv belief includ tradit belief give care health belief ill new caregiv need differ kind support intervent compar experienc caregiv caregiv differ amount experi tend differ learn style new caregiv prefer interact intervent experienc caregiv prefer reflect learningconclus studi reinforc find larger quantit studi import address caregiv need technolog factor internetbas intervent quantit studi found less compet caregiv posit attitud toward technolog tend use intervent frequent qualit research find reveal caregiv need ict factor style use explain pattern intervent use new conceptu integr inform accept health servic util inform behavior theori studi will need confirm propos concept can explain predict usag behavior webbas intervent

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