Yaduwar Intanit na Intanet a Ƙwararrun Ƙwararru: Meta-Analysis (2017)

Kwalejin Ilimin Halayyar Dan Adam ta Acad. 28 ga Agusta 2017. doi: 10.1007/s40596-017-0794-1.

Zhang MWB 1,2 , Lim RBC 3 , Lee C 4 , Ho RCM 3.

Abstract

MUTANE:

Tare da ci gaba da ilmantarwa na yanar-gizon, sadarwa, da nishaɗi, Intanet ya zama kayan aiki mai mahimmanci ga daliban jami'a. Dandalin yanar gizo (IA) ya haifar da matsalar kiwon lafiya da kuma bambancin NI ya bambanta daga ƙasa zuwa ƙasa. Har zuwa yau, yawancin cibiyoyin AI a duniya sun kasance ba a sani ba. Makasudin wannan zane-zane shine tabbatar da kimantaccen ƙididdigar kasancewar AI a tsakanin ɗaliban likita a kasashe daban-daban.

MUTANE:

Kwararrun IYA tsakanin masu horar da likitoci sun ƙaddara ta hanyar samfurori marasa galihu. Meta-regression da kuma rukunin rukuni sun kasance don gano abubuwan da zasu iya taimakawa wajen maganganu.

Sakamakon:

Yawan IA da aka tara tsakanin ɗaliban likitanci 3651 shine 30.1% (tazara ta amincewa da kashi 95% (CI) 28.5-31.8%, Z = -20.66, df = 9, τ 2 = 0.90) tare da bambancin da ke tsakanin su (I 2 = 98.12). Binciken ƙananan rukuni ya nuna yawan IA da aka gano ta hanyar Chen's Internet Addiction Scale (CIAS) (5.2, 95% CI 3.4-8.0%) ya yi ƙasa sosai da Gwajin Addiction na Intanet na Young (YIAT) (32.2, 95% CI 20.9-45.9%) (p < 0.0001). Binciken Meta-regression ya nuna cewa matsakaicin shekarun ɗaliban likitanci, rabon jinsi da tsananin IA ba manyan masu gudanarwa ba ne.

TAMBAYOYI:

A ƙarshe, wannan nazari-bincike ya gano cewa yawancin ɗalibai na IA a tsakanin likitocin likita shine kusan sau biyar fiye da na yawan jama'a. Shekaru, jinsi, da tsanani na IA ba su da asusun ajiya mai yawan gaske a cikin jima'i, amma tambayoyin binciken da aka yi na IA ya kasance tushen mahaukaci. Bisa ga yawan tsararru na IA, malamin likita da masu kula da makarantar likita ya kamata su gano daliban kiwon lafiya wadanda ke shan wahala daga IA kuma su juya su don shiga.

KEYWORDS:

Dandalin yanar gizo; Dalibai na likita; Meta-bincike; Yanayin jima'i, yin amfani da Intanet

PMID: 28849574

DOI: 10.1007/s40596-017-0794-1