Health Informatics J - Students' trust judgements in online health information seeking.

Tópicos

{ inform(2794) health(2639) internet(1427) }
{ design(1359) user(1324) use(1319) }
{ data(2317) use(1299) case(1017) }
{ cancer(2502) breast(956) screen(824) }
{ studi(2440) review(1878) systemat(933) }
{ import(1318) role(1303) understand(862) }
{ research(1218) medic(880) student(794) }
{ framework(1458) process(801) describ(734) }
{ general(901) number(790) one(736) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ monitor(1329) mobil(1314) devic(1160) }
{ use(2086) technolog(871) perceiv(783) }
{ structur(1116) can(940) graph(676) }
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{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
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{ search(2224) databas(1162) retriev(909) }
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{ case(1353) use(1143) diagnosi(1136) }
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{ studi(1410) differ(1259) use(1210) }
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{ system(1050) medic(1026) inform(1018) }
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{ studi(1119) effect(1106) posit(819) }
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{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

As one of the most active groups of Internet users, students and other young people are active users of digital health information. Yet, research into young people's evaluation of health information is limited, and no previous studies have focused on trust formation. In addition, prior studies on adults' use of digital information do not reach a consensus regarding the key factors in trust formation. This study seeks to address this gap. A questionnaire-based survey was used to collect data from undergraduate students studying a variety of disciplines in one UK university. The Trust in Online Health Information Scale is proposed, and it includes the following dimensions: authority, style, content, usefulness, brand, ease of use, recommendation, credibility, and verification. In addition, inspection of responses to specific items/questions provides further insights into aspects of the information that were of specific importance in influencing trust judgements.

Resumo Limpo

one activ group internet user student young peopl activ user digit health inform yet research young peopl evalu health inform limit previous studi focus trust format addit prior studi adult use digit inform reach consensus regard key factor trust format studi seek address gap questionnairebas survey use collect data undergradu student studi varieti disciplin one uk univers trust onlin health inform scale propos includ follow dimens author style content use brand eas use recommend credibl verif addit inspect respons specif itemsquest provid insight aspect inform specif import influenc trust judgement

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