J. Med. Internet Res. - Representation of health conditions on Facebook: content analysis and evaluation of user engagement.

Tópicos

{ health(1844) social(1437) communiti(874) }
{ sampl(1606) size(1419) use(1276) }
{ inform(2794) health(2639) internet(1427) }
{ use(1733) differ(960) four(931) }
{ care(1570) inform(1187) nurs(1089) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ search(2224) databas(1162) retriev(909) }
{ state(1844) use(1261) util(961) }
{ concept(1167) ontolog(924) domain(897) }
{ import(1318) role(1303) understand(862) }
{ chang(1828) time(1643) increas(1301) }
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{ data(2317) use(1299) case(1017) }
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{ take(945) account(800) differ(722) }
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{ data(1714) softwar(1251) tool(1186) }
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{ measur(2081) correl(1212) valu(896) }
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{ method(1219) similar(1157) match(930) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ treatment(1704) effect(941) patient(846) }
{ extract(1171) text(1153) clinic(932) }
{ general(901) number(790) one(736) }
{ case(1353) use(1143) diagnosi(1136) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ patient(2837) hospit(1953) medic(668) }
{ data(3008) multipl(1320) sourc(1022) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
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{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
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{ system(1050) medic(1026) inform(1018) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
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{ 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) }
{ 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) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
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{ can(981) present(881) function(850) }
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{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ result(1111) use(1088) new(759) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ 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

CKGROUND: A sizable majority of adult Internet users report looking for health information online. Social networking sites (SNS) like Facebook represent a common place to seek information, but very little is known about the representation and use of health content on SNS.OBJECTIVE: Our goal in this study was to understand the role of SNS in health information seeking. More specifically, we aimed to describe how health conditions are represented on Facebook Pages and how users interact with these different conditions.METHODS: We used Google Insights to identify the 20 most searched for health conditions on Google and then searched each of the resulting terms on Facebook. We compiled a list of the first 50 Facebook "Pages" results for each health condition. After filtering results to identify pages relevant to our research, we categorized pages into one of seven categories based on the page's primary purpose. We then measured user engagement by evaluating the number of "Likes" for different conditions and types of pages.RESULTS: The search returned 50 pages for 18 of the health conditions, but only 48 pages were found for "anemia" and 5 pages were found for "flu symptoms", yielding a total of 953 pages. A large number of pages (29.4%, 280/953) were irrelevant to the health condition searched. Of the 673 relevant pages, 151 were not in English or originated outside the United States, leaving 522 pages to be coded for content. The most common type of page was marketing/promotion (32.2%, 168/522) followed by information/awareness (20.7%, 108/522), Wikipedia-type pages (15.5%, 81/522), patient support (9.4%, 49/522), and general support (3.6%, 19/522). Health conditions varied greatly by the primary page type. All health conditions had some marketing/promotion pages and this made up 76% (29/38) of pages on acquired immunodeficiency syndrome (AIDS). The largest percentage of general support pages were cancer (19%, 6/32) and stomach (16%, 4/25). For patient support, stroke (67%, 4/6), lupus (33%, 10/30), breast cancer (19%, 6/31), arthritis (16%, 6/36), and diabetes (16%, 6/37) ranked the highest. Six health conditions were not represented by any type of support pages (ie, human papillomavirus, diarrhea, flu symptoms, pneumonia, spine, human immunodeficiency virus). Marketing/promotion pages accounted for 46.73% (10,371,169/22,191,633) of all Likes, followed by support pages (40.66%, 9,023,234/22,191,633). Cancer and breast cancer accounted for 86.90% (19,284,066/22,191,633) of all page Likes.CONCLUSIONS: This research represents the first attempts to comprehensively describe publicly available health content and user engagement with health conditions on Facebook pages. Public health interventions using Facebook will need to be designed to ensure relevant information is easy to find and with an understanding that stigma associated with some health conditions may limit the users' engagement with Facebook pages. This line of research merits further investigation as Facebook and other SNS continue to evolve over the coming years.

Resumo Limpo

ckground sizabl major adult internet user report look health inform onlin social network site sns like facebook repres common place seek inform littl known represent use health content snsobject goal studi understand role sns health inform seek specif aim describ health condit repres facebook page user interact differ conditionsmethod use googl insight identifi search health condit googl search result term facebook compil list first facebook page result health condit filter result identifi page relev research categor page one seven categori base page primari purpos measur user engag evalu number like differ condit type pagesresult search return page health condit page found anemia page found flu symptom yield total page larg number page irrelev health condit search relev page english origin outsid unit state leav page code content common type page marketingpromot follow informationawar wikipediatyp page patient support general support health condit vari great primari page type health condit marketingpromot page made page acquir immunodefici syndrom aid largest percentag general support page cancer stomach patient support stroke lupus breast cancer arthriti diabet rank highest six health condit repres type support page ie human papillomavirus diarrhea flu symptom pneumonia spine human immunodefici virus marketingpromot page account like follow support page cancer breast cancer account page likesconclus research repres first attempt comprehens describ public avail health content user engag health condit facebook page public health intervent use facebook will need design ensur relev inform easi find understand stigma associ health condit may limit user engag facebook page line research merit investig facebook sns continu evolv come year

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