長期照護的議題與相關研究隨著高齡人口急速成長而日顯重要,有必要了解其學術研究概況、趨勢以協助找出研究缺口。本研究以文獻計量分析法,以華藝中文電子期刊服務資料庫分析《長期照護雜誌》從2003至2018年間所刊登的文章特質及全文被下載狀況。結果顯示《長期照護雜誌》2003至2018年間共刊登521篇文章,排除編者的話等後,在468篇文章中,專欄佔46.4%、研究20.7%、綜論15.2%、個案報告11.1%、專案6.6%。作者人數一或二人者,佔56.7%。無論是第一作者或通訊作者的所屬單位及地區,皆以教育機構與北部的比例為高。多變項迴歸分析結果顯示個案報告的文章全文顯著比研究類型的文章被下載次數高,參考文獻數量低於13篇者的全文被下載次數相對低。綜合可視化的分析,藉由適切系統服務並結合科技以提升長期照護品質為重要議題。透過分析《長期照護雜誌》的發表文章,本研究獲得長期照護的研究概況,並從可視化分析提供長期照護研究之參考。
The issues of long-term care and related research have become increasingly important with the rapid growth of the aging population. It is necessary to understand its research profile and trends to facilitate the identification of research gaps. In this study, the characteristics of articles published in the Journal of Long-Term Care and the its full-text downloads from 2003 to 2018 were evaluated by bibliometric analysis using the Chinese Electronic Journals Database. The results showed that the Journal of Long-Term Care published 521 articles between 2003 and 2018. After excluding articles, such as editorials, the remaining 468 articles included featured topics (46.4%), original articles (20.7%), review articles (15.2%), case reports (11.1%), and nursing projects (6.6%). Articles with one or two authors accounted for 56.7%. Both the first author and the corresponding author's affiliation and region had a higher proportion from northern Taiwan and educational institutions, respectively. Multiple regression analysis showed that case reports were downloaded significantly more compared with original articles. In addition, articles with fewer than 13 reference entries were downloaded significantly less than those otherwise. Overall, data visualization analysis revealed that the appropriate integration of system services and technology to enhance the quality of long-term care is an important issue. By analyzing articles published in the Journal of Long-Term Care, this study provided an overview of the current profile of long-term care research, and a basis for future long-term care research based on the data visualization analysis.