Status of knowledge, attitude and practice of clinical nurses towards the intrahospital transport of critically ill patients: A cross-sectional study.

AIMS: To explore the knowledge, attitudes and practice status of the intrahospital transport (IHT) of critically ill patients among clinical nurses and their influencing factors. DESIGN: Cross-sectional study. METHODS: A questionnaire determined the nurses' knowledge, attitudes and practice scores. The questionnaire was used for data collection in a tertiary hospital from 10 January to 17 January 2023. Multivariate regression analysis was also used to evaluate the related factors of IHT of critically ill patients in different dimensions. RESULTS: Out of 670 distributed questionnaires, 612 nurses returned the completed questionnaire. The scores of KAP were (9.72 ± 1.61), (42.91 ± 4.58) and (82.84 ± 1.61), respectively. Pearson's correlation analysis showed that knowledge, attitude and behaviour scores were positively correlated. Variables that were associated with the scores of transfer knowledge were the scores of transfer practice, different departments and the scores of transfer attitude. The score of practice, number of IHT and received hospital-level training had statistical significance on the nurses' attitude scores. Furthermore, the score of the attitude and transport knowledge had statistical significance on the nurses' practice. CONCLUSION: The findings indicate a clear need for clinical nurses' knowledge of IHT of critically ill patients, especially in the emergency department (ED) and ICU. In addition, nurses need to be more active in transporting critically ill patients. Managers should enhance nurses' confidence in the IHT of critically ill patients and promote clinical nurses to establish a correct and positive attitude. IMPACT: The findings of this study benefit nursing managers in understanding the current situation of IHT of critically ill patients. Managers should apply new training methods to nursing education and develop a multi-level training program that is systematic, comprehensive and demand-oriented. PATIENT OR PUBLIC CONTRIBUTION: The participants of this study were nurses and this contribution has been explained in the Data collection section. There was no patient contribution in this study.

Conversion between Mini-Mental State Examination and Montreal Cognitive Assessment scores in older adults undergoing selective surgery using Rasch analysis.

AIMS: To develop and validate a conversion table between the MMSE and the MoCA using Rasch analysis in older adults undergoing selective surgery and examine its diagnostic accuracy in detecting cognitive impairment. DESIGN: Cross-sectional study. METHODS: Older patients [N = 129; age 66.0 (4.6) years, education 7.7 (3.5) years] undergoing elective surgery were recruited from December 2017 to June 2018. All participants completed the MMSE and MoCA and 113 of them completed a battery of neuropsychological tests. Common person linking based on Rasch analysis was performed to develop the conversion table. The conversions were validated by calculating the intraclass correlation coefficient (ICC), score differences between actual and converted scores, and root mean squared error of the difference (RMSE). The diagnostic accuracy of the conversions for detecting cognitive impairment was also tested. RESULTS: The MoCA [person measure: 1.3 (1.1) logits] was better targeted to the patients than the MMSE [person measure: 3.2 (1.3) logits]. Conversion from MoCA to MMSE scores (ICC 0.84, 95% CI 0.77-0.88; RMSE 1.36) was more precise than conversion from MMSE to MoCA (ICC 0.82, 95% CI 0.75-0.87; RMSE 2.56). Conversion from MoCA to MMSE demonstrated better diagnostic accuracy in detecting cognitive impairment than the actual MMSE, whereas conversion from MMSE to MoCA exhibited the opposite pattern. CONCLUSION: Conversion from MoCA to MMSE was more precise and had better diagnostic accuracy in detecting pre-operative cognitive impairment in older patients undergoing selective surgery than conversion from MMSE into MoCA. IMPACT: The finding is useful for interpreting, comparing, and integrating cognitive measurements in surgical settings and clinical research. Statistically sound conversion between MoCA and MMSE based on Rasch analysis is now possible for surgical setting and clinical research.

Health status, care needs, and assessment for beneficiaries with or without dementia in a public long-term care insurance pilot in Guangzhou, China.

BACKGROUND: Chinese government launched a pilot study on public long-term care insurance (LTCI) recently. Guangzhou is one of the fifteen pilot cities, officially started providing LTCI in August 2017. An in-depth analysis of experimental data from the pilot city may provide suggestions for developing a fair and effective LTCI system. This study aimed to evaluate the LTCI pilot by exploring the characteristics and care needs of claimants, and performance of the assessment tool. METHODS: A retrospective cross-sectional study in which claims data between July 2018 and March 2019 in the Guangzhou pilot was analyzed. LTCI claimants during the study period were included. The care needs were determined based on claimants' physical function assessed by the Barthel Index and their medical conditions. Rasch analysis was used to explore the performance of the Barthel Index. RESULTS: Among 4810 claimants included, 4582 (95.3%) obtained LTCI benefits. Of these beneficiaries, 4357 (95.1%) were ≧ 60 years old, and 791 (17.3%) had dementia. Among 228 (4.7%) unsuccessful claimants, 22 (0.5%) had dementia. The prevalence of stroke was high in beneficiaries with (38.1%) or without dementia (56.6%), as well as in unsuccessful claimants with (40.9%) or without dementia (52.4%). Beneficiaries without dementia needed more support for basic activities of daily living and nursing care than those with dementia, while beneficiaries with dementia were more likely to be institutionalized. Five (22.7%) unsuccessful claimants with dementia and 48 (23.3%) unsuccessful claimants without dementia were disabled in at least two basic self-care activities. Regarding Barthel Index, Rasch analysis showed threshold disordering in "mobility" and "climbing stairs", and the narrow interval was observed between all the adjacent categories of the ten items (< 1.4 logits). CONCLUSIONS: Stroke and dementia were two common reasons for needing long-term care in LTCI claimants. The Barthel Index is not suitable for assessing and dividing LTCI claimants, because of inappropriate items and narrow category responses. A comprehensive assessment and grading system is required, together with needs-led care services. The eligibility should be expanded gradually based on balance finance solutions.

Is Barthel Index Suitable for Assessing Activities of Daily Living in Patients With Dementia?

OBJECTIVES: To evaluate application of the Barthel Index (BI) in assessing basic activities of daily living (ADL) of patients with dementia using Rasch analysis. DESIGN: A multi-country cross-sectional study. SETTING AND PARTICIPANTS: Nineteen long-term care facilities located in China, Japan, South Korea, and Thailand. A total of 644 patients with dementia were included. METHODS: Unidimensionality, global and item fit, local dependence, person-item targeting, threshold disordering, and differential item functioning (DIF) were examined. Negative correlations between scores for DIF items and Neuropsychiatric Inventory Nursing Home version (NPI-NH) were evaluated. RESULTS: Item reliability (1.0) and person reliability (.88) were acceptable. The Rasch dimension explained 72.9% of the variance (Eigenvalue = 27), while the first contrast explained 6.6% (Eigenvalue = 2.4). The "mobility" was misfitting to the Rasch model (infit mean square = 1.86). The overall difficulty of the BI exceeded patients' ability (person location = -2.27 logits). The "stairs climbing" and "mobility" showed narrow category thresholds (< 1.4 logits). The location of "controlling bladder" and "toilet use" overlapped. Removing "stairs climbing", collapsing categories with narrow threshold widths in "mobility", and combining "controlling bowel" and "controlling bladder" into one item, improved unidimensionality, and item fit of the scale. Only three items ("grooming", "dressing", and "toilet use") were free from DIF across countries. The scores for "feeding" were negatively related to scores for "disinhibition" (r = -0.46, P < 0.01), and scores for "controlling bowel" were negatively related to scores for "disinhibition" (r = -0.44, P < 0.01), "agitation" (r = -0.32, P < 0.05), and "aggression" (r = -0.27, P < 0.01) in Japanese samples. CONCLUSIONS AND IMPLICATIONS: The performance of the BI for assessing patients with dementia might be compromised by misfit items, person-item mistargeting, measurement gaps, redundant items, narrow threshold width, and item bias. Mobility ability might not be helpful for determining capability of basic ADL in the patients. Comparisons of BI scores between countries should be undertaken with caution due to item bias. Neuropsychiatric symptoms might interact with basic ADL abilities of the patients. We will not suggest using the instrument in patients with dementia, without future refining to improve its performance.