J. Med. Internet Res. - A panel analysis of the strategic association between information and communication technology and public health delivery.

Tópicos

{ inform(2794) health(2639) internet(1427) }
{ studi(1119) effect(1106) posit(819) }
{ data(2317) use(1299) case(1017) }
{ use(2086) technolog(871) perceiv(783) }
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{ risk(3053) factor(974) diseas(938) }
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{ signal(2180) analysi(812) frequenc(800) }
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{ implement(1333) system(1263) develop(1122) }
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{ imag(1947) propos(1133) code(1026) }
{ measur(2081) correl(1212) valu(896) }
{ bind(1733) structur(1185) ligand(1036) }
{ featur(3375) classif(2383) classifi(1994) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ assess(1506) score(1403) qualiti(1306) }
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{ care(1570) inform(1187) nurs(1089) }
{ featur(1941) imag(1645) propos(1176) }
{ patient(2837) hospit(1953) medic(668) }
{ medic(1828) order(1363) alert(1069) }
{ sampl(1606) size(1419) use(1276) }
{ health(1844) social(1437) communiti(874) }
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{ data(1737) use(1416) pattern(1282) }
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{ imag(1057) registr(996) error(939) }
{ sequenc(1873) structur(1644) protein(1328) }
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{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
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{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ studi(1410) differ(1259) use(1210) }
{ 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) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

CKGROUND: In this exploratory research, we use panel data analysis to examine the correlation between Information and Communication Technology (ICTs) and public health delivery at the country level.OBJECTIVE: The goal of this exploratory research is to examine the strategic association over time between ICTs and country-level public health.METHODS: Using data from the World Development Indicators, we construct a panel data set of countries of five different income levels and look closely at the period from 2000 to 2008. The panel data analysis allows us to explore this dynamic relationship under the control for unobserved country-specific effects by using a fixed-effects estimation method. In particular,, we examine the association of five ICT factors with five public health indicators: adolescent fertility rate, child immunization coverage, tuberculosis case detected, life expectancy, and adult mortality rate.RESULTS: First, overall ICTs' factors substantially improve a country's public health delivery on the top of wealth effect. Second, among all the ICTs' factors, accessibility is the only one that is associated with improvements in all aspects of public health delivery, while the contributions from the usage, quality, and applications are negligible. ICTs' accessibility factor is associated with a considerable extension to life expectancy and reduced adult mortality rate. Third, all entity-specific factors are significant in each model, indicating that countries' economic development level does influence their public health delivery.CONCLUSIONS: Our results indicate that ICT accessibility has a strong association with effective delivery of public health. There are others, but the key strategic applications are eHealth and mHealth. The findings of this study will help government officials and public health policy makers to formulate strategic decisions regarding the best ICT investments and deployment. For example, the study shows that providing accessibility should be a critical focus.

Resumo Limpo

ckground exploratori research use panel data analysi examin correl inform communic technolog ict public health deliveri countri levelobject goal exploratori research examin strateg associ time ict countrylevel public healthmethod use data world develop indic construct panel data set countri five differ incom level look close period panel data analysi allow us explor dynam relationship control unobserv countryspecif effect use fixedeffect estim method particular examin associ five ict factor five public health indic adolesc fertil rate child immun coverag tuberculosi case detect life expect adult mortal rateresult first overal ict factor substanti improv countri public health deliveri top wealth effect second among ict factor access one associ improv aspect public health deliveri contribut usag qualiti applic neglig ict access factor associ consider extens life expect reduc adult mortal rate third entityspecif factor signific model indic countri econom develop level influenc public health deliveryconclus result indic ict access strong associ effect deliveri public health other key strateg applic ehealth mhealth find studi will help govern offici public health polici maker formul strateg decis regard best ict invest deploy exampl studi show provid access critic focus

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