Health Info Libr J - A bibliometric approach demonstrates the impact of a social care data set on research and policy.

Tópicos

{ method(1969) cluster(1462) data(1082) }
{ health(3367) inform(1360) care(1135) }
{ health(1844) social(1437) communiti(874) }
{ care(1570) inform(1187) nurs(1089) }
{ framework(1458) process(801) describ(734) }
{ compound(1573) activ(1297) structur(1058) }
{ inform(2794) health(2639) internet(1427) }
{ studi(2440) review(1878) systemat(933) }
{ intervent(3218) particip(2042) group(1664) }
{ research(1085) discuss(1038) issu(1018) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ clinic(1479) use(1117) guidelin(835) }
{ method(1557) propos(1049) approach(1037) }
{ system(1050) medic(1026) inform(1018) }
{ data(3008) multipl(1320) sourc(1022) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }
{ can(774) often(719) complex(702) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ perform(999) metric(946) measur(919) }
{ visual(1396) interact(850) tool(830) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ 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) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ 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) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ 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) }
{ use(1733) differ(960) four(931) }
{ 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) }
{ activ(1452) weight(1219) physic(1104) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND: The National Minimum Dataset for Social Care (NMDS-SC) has provided detailed data since 2006 on the workforce for adult social care services in England. In 2012, the organisation responsible for the data set commissioned an evaluation into the impact of the data set on researchers and policymakers.OBJECTIVE: Discusses how a novel wide-ranging bibliometric approach, complemented by interviews of key informants, demonstrated the developing impact of the data set.METHODS: The evaluation comprised web metrics to assess NMDS-SC-related traffic on relevant websites; bibliometrics to assess the use of NMDS-SC data in scholarly publications and grey literature; telephone interviews with 12 key users of the data set; and an online survey completed by 24 key users of the data set. A theoretical framework for research impact was used.RESULTS: The web metrics demonstrated increase in traffic on the relevant pages of the organisation's website. There were references to the data set in 175 separate publications (15% from academic journals, 50% as policy/practice reports and 35% as media communications. Interviews evidenced many impacts, for example provision of robust data for secondary analysis that challenged conventional views about the social care workforce.CONCLUSION: Bibliometrics plus interviews provided a rounded picture of the data set's impact.

Resumo Limpo

ckground nation minimum dataset social care nmdssc provid detail data sinc workforc adult social care servic england organis respons data set commiss evalu impact data set research policymakersobject discuss novel widerang bibliometr approach complement interview key inform demonstr develop impact data setmethod evalu compris web metric assess nmdsscrelat traffic relev websit bibliometr assess use nmdssc data scholar public grey literatur telephon interview key user data set onlin survey complet key user data set theoret framework research impact usedresult web metric demonstr increas traffic relev page organis websit refer data set separ public academ journal policypractic report media communic interview evidenc mani impact exampl provis robust data secondari analysi challeng convent view social care workforceconclus bibliometr plus interview provid round pictur data set impact

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