Health Informatics J - Adoption of online health management tools among healthy older adults: An exploratory study.

Tópicos

{ patient(2315) diseas(1263) diabet(1191) }
{ inform(2794) health(2639) internet(1427) }
{ visual(1396) interact(850) tool(830) }
{ use(2086) technolog(871) perceiv(783) }
{ survey(1388) particip(1329) question(1065) }
{ age(1611) year(1155) adult(843) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ sequenc(1873) structur(1644) protein(1328) }
{ chang(1828) time(1643) increas(1301) }
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{ cost(1906) reduc(1198) effect(832) }
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{ model(3404) distribut(989) bayesian(671) }
{ system(1976) rule(880) can(841) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ concept(1167) ontolog(924) domain(897) }
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{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ studi(1119) effect(1106) posit(819) }
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{ ehr(2073) health(1662) electron(1139) }
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{ activ(1452) weight(1219) physic(1104) }
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{ imag(2675) segment(2577) method(1081) }
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{ care(1570) inform(1187) nurs(1089) }
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{ featur(1941) imag(1645) propos(1176) }
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{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
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{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

As the population ages and chronic diseases abound, overburdened healthcare systems will increasingly require individuals to manage their own health. Online health management tools, quickly increasing in popularity, have the potential to diminish or even replace in-person contact with health professionals, but overall efficacy and usage trends are unknown. The current study explored perceptions and usage patterns among users of online health management tools, and identified barriers and barrier-breakers among non-users. An online survey was completed by 169 computer users (aged 50+). Analyses revealed that a sizable minority (37%) of participants use online health management tools and most users (89%) are satisfied with these tools, but a limited range of tools are being used and usage occurs in relatively limited domains. Improved awareness and education for online health management tools could enhance people's abilities to remain at home as they age, reducing the financial burden on formal assistance programs.

Resumo Limpo

popul age chronic diseas abound overburden healthcar system will increas requir individu manag health onlin health manag tool quick increas popular potenti diminish even replac inperson contact health profession overal efficaci usag trend unknown current studi explor percept usag pattern among user onlin health manag tool identifi barrier barrierbreak among nonus onlin survey complet comput user age analys reveal sizabl minor particip use onlin health manag tool user satisfi tool limit rang tool use usag occur relat limit domain improv awar educ onlin health manag tool enhanc peopl abil remain home age reduc financi burden formal assist program

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