V zdravstvu in sistemih dolgotrajne oskrbe postaja uporaba tehnologij blagostanja neizbežna. Mednje uvrščamo raznolike tehnološke rešitve za ohranjanje in krepitev zdravja ter večjo varnost in samostojnost uporabnikov, ki jim posledično olajšajo tudi vključevanje v družbo. Hkrati vplivajo tudi na prakso zdravstvene nege. Vendar pa je malo znanega o sprejemanju tovrstnih tehnologij med medicinskimi sestrami, ki delajo s starejšimi osebami izven kliničnega okolja. Cilj predstavljenega petstopenjskega pregleda literature je bil odpraviti to vrzel v znanju. Decembra 2022 smo izvedli obsežno iskanje po sedmih bibliografskih podatkovnih zbirkah (MEDLINE, CINAHL, PubMED, Scopus, Proquest Social Sciences Database, APA PsycArticles in SocINDEX) in sivi literaturi, na podlagi katerega smo po zastavljenih kriterijih izbrali 27 publikacij, objavljenih med letoma 2007 in 2022. Na podlagi vsebinske analize, ki smo jo izvedli s pomočjo programa ATLAS.ti 9, smo prepoznali pet kategorij dejavnikov sprejemanja: organizacijske dejavnike, dejavnike, vezane na medicinsko sestro, tehnološke dejavnike, socialni vpliv ter dejavnike, vezane na pacienta. Osredotočenost na pacienta je bila rdeča nit vseh skupin dejavnikov. V prihodnje bi bilo priporočljivo proučiti dejavnike, ki vplivajo na sprejemanje novih tehnologij s strani medicinskih sester, preden se jih začne uporabljati.Welfare technologies, which encompass a wide range of technologies used to maintain or improve individuals’ functioning, safety, participation or independence, are becoming inevitable for health care and long-term care. These technologies are also impacting nursing practice. However, little is known about their acceptance among nurses who work with older adults outside of the clinical setting. The goal of this five-stage scoping review was to address this knowledge gap. A comprehensive search of seven bibliographic databases (MEDLINE, CINAHL with full text, PubMED, Scopus, Proquest Social Sciences Database, APA PsycArticles, and SocINDEX with full text) and grey literature was conducted in December 2022. Based on the inclusion and exclusion criteria, 27 articles were selected. The content-based analysis conducted using ATLAS.ti 9 software identified five categories of acceptance factors: individual, organizational, patient-related and technological factors, and social influence. Notably, patient-centeredness was found to be represented in all five categories. In the future, the factors that influence nurses\u27 acceptance of new technologies should be researched before the technologies are put into use
