Int J Med Inform - Online health information seeking by people with physical disabilities due to neurological conditions.

Tópicos

{ inform(2794) health(2639) internet(1427) }
{ use(2086) technolog(871) perceiv(783) }
{ studi(1119) effect(1106) posit(819) }
{ age(1611) year(1155) adult(843) }
{ can(981) present(881) function(850) }
{ activ(1452) weight(1219) physic(1104) }
{ import(1318) role(1303) understand(862) }
{ use(976) code(926) identifi(902) }
{ chang(1828) time(1643) increas(1301) }
{ studi(1410) differ(1259) use(1210) }
{ model(2341) predict(2261) use(1141) }
{ high(1669) rate(1365) level(1280) }
{ method(1969) cluster(1462) data(1082) }
{ imag(1057) registr(996) error(939) }
{ method(1219) similar(1157) match(930) }
{ studi(2440) review(1878) systemat(933) }
{ treatment(1704) effect(941) patient(846) }
{ control(1307) perform(991) simul(935) }
{ risk(3053) factor(974) diseas(938) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ 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) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ 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) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

JECTIVE: This study investigates how neurologically disabled people's intention to continue seeking and actual use of online health information are related to various factors.DESIGN: A cross-sectional survey was conducted to collect data from people who have neurological disabilities.MEASUREMENTS: An online questionnaire was used to measure demographic, physical, cognitive, and behavioral factors based on subjects' self-reported data.RESULTS: Regression analyses on 330 data show that a person's intention to continue online health information seeking (OHIS) increases as perceived usefulness (PU) and ease of use (PEOU) and disability level increase. The OHIS intention is also predicted by a negative interaction between PU and disability, a positive interaction between PEOU and disability, and a negative interaction between PU and PEOU. It is also find that a person's use of online health information is positively related to PU and negatively related to perceived risk and the interaction between PU and risk.LIMITATIONS: The sample was not randomly selected and the cross-sectional survey cannot suggest causal relationships between variables.CONCLUSION: Neurologically disabled people's online health information seeking and use can be predicted by their cognitive perceptions. A heightened disability level increases an individual's online health information seeking, but is not related to the use of such information. Moreover, seeking more online health information does not make an individual use more such information, suggesting that these two behaviors should be carefully differentiated.

Resumo Limpo

jectiv studi investig neurolog disabl peopl intent continu seek actual use onlin health inform relat various factorsdesign crosssect survey conduct collect data peopl neurolog disabilitiesmeasur onlin questionnair use measur demograph physic cognit behavior factor base subject selfreport dataresult regress analys data show person intent continu onlin health inform seek ohi increas perceiv use pu eas use peou disabl level increas ohi intent also predict negat interact pu disabl posit interact peou disabl negat interact pu peou also find person use onlin health inform posit relat pu negat relat perceiv risk interact pu risklimit sampl random select crosssect survey suggest causal relationship variablesconclus neurolog disabl peopl onlin health inform seek use can predict cognit percept heighten disabl level increas individu onlin health inform seek relat use inform moreov seek onlin health inform make individu use inform suggest two behavior care differenti

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