Törő Viktória, Kósa Zsigmond, Takács Péter, Széll Róbert, Radó Sándorné, Szelesné Andrea Árokszállási, Ujváriné Adrienn Siket, Sárváry Attila
Department of Nursing and Midwifery, Faculty of Health Sciences, University of Debrecen, Nyíregyháza, HU.
Doctoral School of Health Sciences, University of Debrecen, Debrecen, HU.
Int J Integr Care. 2022 Aug 8;22(3):5. doi: 10.5334/ijic.6010. eCollection 2022 Jul-Sep.
The aims of this study were to evaluate the psychometric properties of the Hungarian translation of the PACIC in a sample of patients with type 2 diabetes and to reveal the associations between the mean PACIC scores and the number of chronic diseases, or visits to GPs, and specialist. An exploratory factor analysis (EFA) has also been performed to test the structural validity of the PACIC scale.
The Hungarian version of PACIC was validated using randomly selected patients with type 2 diabetes (N = 684) from licensed GP practices.
Floor (1.6%-30.2%) and ceiling effects (11.3-33.6%) were similar of the PACIC scale. The internal consistency of the total scale (Cronbach's alpha 0.93) was excellent and subscales were good (between 0.73-0.9). The mean scores of each PACIC subscale group were between 2.99-3.53. There was a weak significant correlation between the mean PACIC scores of subscales and the number of GP visits (p < 0.001), and specialist visits (p < 0.001). The EFA identified four factors on the sample (KMO = 0.931). Gender and education showed correlation with some new factors.
The psychometric properties of the Hungarian version of PACIC questionnaire showed a reasonable level of validity among patients with type 2 diabetes. Now, this instrument is ready to assess the chronic care of diabetic patients in Hungary.
本研究的目的是评估2型糖尿病患者样本中PACIC匈牙利语翻译版本的心理测量特性，并揭示PACIC平均得分与慢性病数量、看全科医生次数以及看专科医生次数之间的关联。还进行了探索性因素分析（EFA）以检验PACIC量表的结构效度。
使用从有执照的全科医生诊所随机选取的2型糖尿病患者（N = 684）对PACIC的匈牙利语版本进行验证。
PACIC量表的地板效应（1.6%-30.2%）和天花板效应（11.3-33.6%）相似。总量表的内部一致性（克朗巴哈系数α为0.93）极佳，各子量表良好（在0.73-0.9之间）。每个PACIC子量表组的平均得分在2.99-3.53之间。子量表的PACIC平均得分与看全科医生次数（p < 0.001）和看专科医生次数（p < 0.001）之间存在弱显著相关性。探索性因素分析在样本中识别出四个因素（KMO = 0.931）。性别和教育程度与一些新因素存在相关性。
PACIC问卷匈牙利语版本的心理测量特性在2型糖尿病患者中显示出合理水平的效度。现在，该工具已准备好用于评估匈牙利糖尿病患者的慢性病护理情况。
