Objective To evaluate the quality of psychometric properties and methodological quality of the Chinese version of the medication adherence scale for patients with hypertension，so as to provide references for the selection of high-quality research tools. Methods PubMed，EmBase and Web of Science，CNKI，Wanfang Data knowledge service，VIP database，Chinese Biomedical Literature database were retrieved to collect the literature on the evaluation of psychometric properties of medication adherence scales for patients with hypertension from the time of database establishment to February 3，2022. There were 2 reviewers who independently screened the literature，and extracted data of included studies. Based on the consensus-based standards for the selection of health measurement instruments（COSMIN） guideline，the methodological and measurement properties quality of the included assessment tools were evaluated by the COSMIN risk of bias checklist and quality criteria. Results A total of 10 studies were included，involving 9 Chinese version of the medication adherence scales for patients with hypertension. None of the 9 assessment tools reported cross-cultural validity，measurement error，hypothesis testing or responsiveness. As the content validity were inadequate or uncertain，and the quality of evidence were moderate or low，9 assessment tools were recommended by grade B. Conclusion Compared with the other 8 assessment tools，MASES-R is the assessment tool with the relatively balanced psychometric properties with good reliability and validity，which can be temporarily recommended for use，but it needs further testing.
Objective To form an expert consensus on the implementation and removal of psychiatric protective restraints,and to standardize the related contents of the implementation and removal of psychiatric protective restraints. Methods According to the level of evidence,the evidence-based method was used to retrieve,evaluate and summarize the evidence in the field. The recommendations and research conclusions for the implementation and removal of the psychiatric medical protective restraints were extracted,and the rough consensus was formed. Through 2 rounds of enquiry and 2 experts discussion meetings,the final version of the consensus was formed by combining with the expert opinions,adjusting,modifying and perfecting the first draft. Results The positive coefficients of experts in the 2 rounds of correspondence consultation were 100%;the degree of authority of experts was 0.90;the mean value of importance of each index was>3.5,and the coefficient of variation was less than 0.25,and the expert Kendall harmony coefficient was 0.146 and 0.166,respectively （all P<0.01）. Finally,a consensus was reached on the recommendation of 10 parts,including the application group of psychiatric restraints,premise and principle,objective,key points of assessment,basic requirements,record sheet,flow chart,intervention strategies in the implementation process,ethical issues and risks,and suggestions. Conclusion The consensus provides guidance for the practice of psychiatric protective restraints and makes psychiatric restraints more standardized.
Objective To construct a nutritional risk prediction model for elderly inpatients with mental disorders,and to provide a basis for clinical nutritional status assessment. Methods Using the method of cluster sampling,584 elderly patients with mental disorders who were hospitalized in Beijing Huilongguan Hospital from June 2020 to June 2021 were divided into a good nutritional status group（152 cases） and a malnutrition risk group（129 cases） and a malnutrition group（303 cases）. The general condition questionnaire,frailty screening scale （FP）,mini-nutrition assessment scale（MNA）,simplified physical performance scale（SPPB）,the Barthel Index（BI） of daily life and Family Care Index（APGAR） for ability evaluation were used for investigation. Logistic regression analysis and Graphpad Prism software were used to draw receiver operating characteristic curve to test the model fit and prediction effect. Results The incidence of malnutrition in elderly hospitalized patients with mental disorders was 51.88%,and advanced age（OR=1.049）,frailty（OR=2.578）,and BMI（OR=0.629） were independent risk factors for malnutrition risks（P<0.534）. 0.05）,in which advanced age was the greatest risk factor for malnutrition. Advanced age（OR=1.031）,diagnosis（OR=2.150）,frailty（OR=2.485）,and physical dysfunction（OR=2.123） were independent risks of malnutrition（P<0.05）,among which frailty is the greatest risk factor for malnutrition risk to be transformed into malnutrition. The area under the receiver operating characteristic curve（AUC） of the malnutrition risk is 0.732;the Youden index is 0.388;the optimal critical value is 0.473;the sensitivity of the prediction model is 0.736;the specificity is 0.651. Regarding the ROC curve of malnutrition,AUC is 0.808;Youden index is 0.531;the best critical value is 0.581;the sensitivity of the prediction model is 0.865;the specificity is 0.667. Those indicate that the 2 prediction models are accurate and reliable. Conclusion The risk prediction model of nutritional status of hospitalized elderly patients with mental disorders constructed in this study has high accuracy,and provides a basis for risk assessment and prevention of nutritional status of elderly patients with mental disorders in hospital.
