AMIA Annu Symp Proc - Social and behavioral history information in public health datasets.

Tópicos

{ inform(2794) health(2639) internet(1427) }
{ data(1737) use(1416) pattern(1282) }
{ use(2086) technolog(871) perceiv(783) }
{ use(1733) differ(960) four(931) }
{ import(1318) role(1303) understand(862) }
{ time(1939) patient(1703) rate(768) }
{ health(1844) social(1437) communiti(874) }
{ implement(1333) system(1263) develop(1122) }
{ record(1888) medic(1808) patient(1693) }
{ research(1218) medic(880) student(794) }
{ can(981) present(881) function(850) }
{ clinic(1479) use(1117) guidelin(835) }
{ howev(809) still(633) remain(590) }
{ risk(3053) factor(974) diseas(938) }
{ imag(1947) propos(1133) code(1026) }
{ sequenc(1873) structur(1644) protein(1328) }
{ imag(2830) propos(1344) filter(1198) }
{ framework(1458) process(801) describ(734) }
{ learn(2355) train(1041) set(1003) }
{ extract(1171) text(1153) clinic(932) }
{ general(901) number(790) one(736) }
{ case(1353) use(1143) diagnosi(1136) }
{ studi(1410) differ(1259) use(1210) }
{ studi(1119) effect(1106) posit(819) }
{ health(3367) inform(1360) care(1135) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ patient(1821) servic(1111) care(1106) }
{ structur(1116) can(940) graph(676) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ 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) }
{ data(3963) clinic(1234) research(1004) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ 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) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ 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) }
{ activ(1138) subject(705) human(624) }
{ 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) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Social and behavioral history is increasingly recognized as integral for understanding important determinants of disease and critical for patient care, research, clinical guidelines, and public health policies. Social and behavioral history information in the public health domain, specifically large public health surveys, has not been well described. In this study, a content analysis was performed and information model constructed and contrasted with clinically-based models for each of three widely used public health surveys: BRFSS (Behavioral Risk Factor Surveillance System), NHANES (National Health and Nutrition Examination Survey), and NHIS (National Health Interview Survey). Survey items were predominantly related to alcohol use, drug use, occupation, and tobacco use. Although the clinical social history information model was similar, public health social history demonstrated additional complexity in coding temporality, degree of exposure, and certainty. Our results give insight into ongoing efforts to integrate clinical and public health information resources for improving and measuring health.

Resumo Limpo

social behavior histori increas recogn integr understand import determin diseas critic patient care research clinic guidelin public health polici social behavior histori inform public health domain specif larg public health survey well describ studi content analysi perform inform model construct contrast clinicallybas model three wide use public health survey brfss behavior risk factor surveil system nhane nation health nutrit examin survey nhis nation health interview survey survey item predomin relat alcohol use drug use occup tobacco use although clinic social histori inform model similar public health social histori demonstr addit complex code tempor degre exposur certainti result give insight ongo effort integr clinic public health inform resourc improv measur health

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