Int J Med Inform - An exploratory study of inactive health information seekers.

Tópicos

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{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ signal(2180) analysi(812) frequenc(800) }
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{ use(2086) technolog(871) perceiv(783) }
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{ use(1733) differ(960) four(931) }
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{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }

Resumo

RPOSE: This study aims to identify people who do not actively seek out health information and the demographic characteristics of Inactive Seekers. The possible determinants of inactive seeking behaviors are also explored.DESIGN AND MEASUREMENTS: A total of 14,420 survey respondents were drawn from the 2009 Annenberg National Health Communication Survey (ANHCS) data. K-means clustering was used to discriminate Inactive Seekers from Active Seekers. The inactive information seeker group was formed based on their experience with health information seeking. The potential determinants that were tested to predict inactive seeking included the following: health condition, health service use, health media exposure, and computer/Internet activities.RESULTS: Within this national survey data, the respondents were more likely to be included in the Inactive Seekers (N=8312, 58.5%) compared to Active Seekers (N=5908, 41.5%). The demographic characteristics indicated that the Inactive Seekers were identified as younger, male, highly educated, White, and high household income people. The binary logistic regression results from the study model indicated that healthier people were less likely to seek out health information than their counterparts. In addition, those who were exposed to various media were almost 1.6 times more likely to seek out health information than those who were not exposed to such media. Within this study data, the statistically significant determinants identified were health condition and health media exposure while computer/Internet activities did not show strong indications in predicting inactive seeking behavior.CONCLUSION: The development of more generalizable measures for health literacy or behavioral patterns will bolster advanced study on inactive seeking relating to knowledge of technology and health context. Further study should be directed at estimating the negative aspects of information seeking such as information ignorance or information avoidance.

Resumo Limpo

rpose studi aim identifi peopl activ seek health inform demograph characterist inact seeker possibl determin inact seek behavior also exploreddesign measur total survey respond drawn annenberg nation health communic survey anhc data kmean cluster use discrimin inact seeker activ seeker inact inform seeker group form base experi health inform seek potenti determin test predict inact seek includ follow health condit health servic use health media exposur computerinternet activitiesresult within nation survey data respond like includ inact seeker n compar activ seeker n demograph characterist indic inact seeker identifi younger male high educ white high household incom peopl binari logist regress result studi model indic healthier peopl less like seek health inform counterpart addit expos various media almost time like seek health inform expos media within studi data statist signific determin identifi health condit health media exposur computerinternet activ show strong indic predict inact seek behaviorconclus develop generaliz measur health literaci behavior pattern will bolster advanc studi inact seek relat knowledg technolog health context studi direct estim negat aspect inform seek inform ignor inform avoid

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