Inform Health Soc Care - Characteristics of patients seeking health information online via social health networks versus general Internet sites: a comparative study.

Tópicos

{ health(1844) social(1437) communiti(874) }
{ age(1611) year(1155) adult(843) }
{ inform(2794) health(2639) internet(1427) }
{ patient(2315) diseas(1263) diabet(1191) }
{ treatment(1704) effect(941) patient(846) }
{ studi(1410) differ(1259) use(1210) }
{ state(1844) use(1261) util(961) }
{ use(1733) differ(960) four(931) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ activ(1452) weight(1219) physic(1104) }
{ network(2748) neural(1063) input(814) }
{ group(2977) signific(1463) compar(1072) }
{ data(3008) multipl(1320) sourc(1022) }
{ patient(1821) servic(1111) care(1106) }
{ structur(1116) can(940) graph(676) }
{ can(774) often(719) complex(702) }
{ method(1219) similar(1157) match(930) }
{ imag(2675) segment(2577) method(1081) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ general(901) number(790) one(736) }
{ howev(809) still(633) remain(590) }
{ studi(1119) effect(1106) posit(819) }
{ record(1888) medic(1808) patient(1693) }
{ model(2656) set(1616) predict(1553) }
{ cost(1906) reduc(1198) effect(832) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ 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) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ 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) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ 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) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ estim(2440) model(1874) function(577) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND: Camoni.co.il, a Hebrew-language social health network offers advice, consultation, and connection to others with chronic illness. This study compared characteristics and objectives of Camoni.co.il users and individuals seeking medical information through general Internet sites.METHODS: Similar questionnaires were sent to 1009 Internet and 900 Camoni users. Cluster analysis defined four modes of online social health network use: "acquiring information and support", "communicating", "networking" and "browsing".RESULTS: Six hundred and five Internet and 125 Camoni users responded. Diabetes, hypertension, obesity and lung diseases were found more often among general Internet users than Camoni users. Among Camoni users, "acquiring information and support" was the main motivation for individuals over age 55 years, women, those with lower income, chronic pain, obesity and depression. "Communicating" was the main incentive of men, those 20-34 years old, those with less education, or an eating disorder. "Networking" was the most significant motivation for those with multiple sclerosis or depression. Browsing was most frequent among individuals with multiple sclerosis.CONCLUSIONS: Identifying needs of social health network surfers will allow planning unique contents and enhancing social health sites. Physicians might advise patients to use them to obtain support and information regarding their conditions, possibly leading to improved compliance and self-management.

Resumo Limpo

ckground camonicoil hebrewlanguag social health network offer advic consult connect other chronic ill studi compar characterist object camonicoil user individu seek medic inform general internet sitesmethod similar questionnair sent internet camoni user cluster analysi defin four mode onlin social health network use acquir inform support communic network browsingresult six hundr five internet camoni user respond diabet hypertens obes lung diseas found often among general internet user camoni user among camoni user acquir inform support main motiv individu age year women lower incom chronic pain obes depress communic main incent men year old less educ eat disord network signific motiv multipl sclerosi depress brows frequent among individu multipl sclerosisconclus identifi need social health network surfer will allow plan uniqu content enhanc social health site physician might advis patient use obtain support inform regard condit possibl lead improv complianc selfmanag

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