J Med Syst - The adoption of mobile health management services: an empirical study.

Tópicos

{ use(2086) technolog(871) perceiv(783) }
{ inform(2794) health(2639) internet(1427) }
{ patient(2315) diseas(1263) diabet(1191) }
{ age(1611) year(1155) adult(843) }
{ health(1844) social(1437) communiti(874) }
{ activ(1452) weight(1219) physic(1104) }
{ health(3367) inform(1360) care(1135) }
{ model(3404) distribut(989) bayesian(671) }
{ cost(1906) reduc(1198) effect(832) }
{ can(981) present(881) function(850) }
{ use(1733) differ(960) four(931) }
{ error(1145) method(1030) estim(1020) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ monitor(1329) mobil(1314) devic(1160) }
{ group(2977) signific(1463) compar(1072) }
{ imag(1947) propos(1133) code(1026) }
{ take(945) account(800) differ(722) }
{ problem(2511) optim(1539) algorithm(950) }
{ algorithm(1844) comput(1787) effici(935) }
{ data(1714) softwar(1251) tool(1186) }
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{ featur(1941) imag(1645) propos(1176) }
{ research(1085) discuss(1038) issu(1018) }
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{ activ(1138) subject(705) human(624) }
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{ case(1353) use(1143) diagnosi(1136) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
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{ record(1888) medic(1808) patient(1693) }
{ ehr(2073) health(1662) electron(1139) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ 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) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ 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) }
{ 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

As their populations age, many countries are facing the increasing economic pressure of providing healthcare to their people. In Taiwan, this problem is exacerbated by an increasing rate of obesity and obesity-related conditions. Encouraging the adoption of personal health management services is one way to maintain current levels of personal health and to efficiently manage the distribution of healthcare resources. This study introduces Mobile Health Management Services (MHMS) and employs the Technology Acceptance Model (TAM) to explore the intention of students in Executive Master of Business Management programs to adopt mobile health management technology. Partial least squares (PLS) was used to analyze the collected data, and the results revealed that "perceived usefulness" and "attitude" significantly affected the behavioral intention of adopting MHMS. Both "perceived ease of use" and "perceived usefulness," significantly affected "attitude," and "perceived ease of use" significantly affected "perceived usefulness" as well. The results also show that the determinants of intention toward MHMS differed with age; young adults had higher intention to adopt MHMS to manage their personal health. Therefore, relevant governmental agencies may profitably promote the management of personal health among this population. Successful promotion of personal health management will contribute to increases in both the level of general health and the efficient management of healthcare resources.

Resumo Limpo

popul age mani countri face increas econom pressur provid healthcar peopl taiwan problem exacerb increas rate obes obesityrel condit encourag adopt person health manag servic one way maintain current level person health effici manag distribut healthcar resourc studi introduc mobil health manag servic mhms employ technolog accept model tam explor intent student execut master busi manag program adopt mobil health manag technolog partial least squar pls use analyz collect data result reveal perceiv use attitud signific affect behavior intent adopt mhms perceiv eas use perceiv use signific affect attitud perceiv eas use signific affect perceiv use well result also show determin intent toward mhms differ age young adult higher intent adopt mhms manag person health therefor relev government agenc may profit promot manag person health among popul success promot person health manag will contribut increas level general health effici manag healthcar resourc

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