Information before discharge in geriatric patients in Italy: cultural adaptation and validation of the Patient Continuity of Care Questionnaire

Confirmation of a measurement model for hospital supply chain resilience

Background

The hospital supply chain has revealed increasing vulnerabilities and disruptions in the wake of the COVID-19 pandemic, threatening the healthcare services and patient safety. The resilience of hospital supply chains has emerged as a paramount concern within the healthcare system. However, there is a lack of systematic research to develop an instrument tailored to the healthcare industry that is both valid and reliable for measuring hospital supply chain resilience. Therefore, this study aims to construct and validate a comprehensive scale for assessing hospital supply chain resilience, based on dynamic capability theory.

Methods

This study followed rigorous scale development steps, starting with a literature review and 15 semi-structured interviews to generate initial items. These items were then refined through expert panel feedback and three rounds of Delphi studies. Using data from 387 hospitals in Province S, mainland China, the scale underwent rigorous testing and validation using structural equation modeling. To ensure the most effective model, five alternative models were examined to determine the most suitable parsimonious model.

Results

The study produced a 26-item scale that captures five dimensions of resilience in line with dynamic capability theory: anticipation, adaptation, response, recovery, and learning, all showing satisfactory consistency, reliability and validity.

Conclusion

The multi-dimensional scale offers hospital managers a valuable tool to identify areas needing attention and improvement, benchmark resilience against their counterparts, and ultimately strengthen their supply chains against unexpected risks.

Sex, executive function, and prospective memory regulate the chain-mediation pathway of alcohol use and impulsivity

Objective

Evidence from previous studies indicates that impulsive behaviors are closely linked to alcohol use and misuse and that female drinkers are more impulsive than male drinkers. However, studies investigating the psychological mechanisms of alcohol use and impulsivity based on sex differences are relatively limited.

Methods

This cross-sectional study comprised 713 residents from 16 cities in Anhui Province, China. Each subject was evaluated for self-reporting measures using several questionnaires, including the general information questionnaire, the Alcohol Use Disorders Identification Test (AUDIT), the Prospective and Retrospective Memory Questionnaire (PRM), the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A), and the Barratt Impulsiveness Scale-11 (BIS-11).

Results

Executive function and prospective memory may serve as intermediary links between alcohol use and impulsivity. Although the female alcohol usage level was significantly lower than that of males, the female drinkers had more severe executive dysfunction, prospective memory impairment, and impulsivity than male drinkers. Sex moderated the relationship between alcohol use and impulsivity. Furthermore, the indirect effect of executive function, and prospective memory between AUDIT and BIS was more significant in males than in females.

Conclusion

Alcohol consumption may be associated with impulsivity formation through executive dysfunction and PM impairment, implying that impulsivity in those with AUD or at risk for AUD might be treated by improving EF and PM. Alcohol use may cause more severe executive dysfunction, PM impairment, and impulsive behavior in females than in males, and impulsive behavior in women with AUD was more likely to be due to the direct effects of alcohol consumption, while impulsive behavior in men with AUD was more likely to be due to the indirect effects of executive dysfunction and PM impairment. These findings provide both clinical and theoretical foundations for addressing issues related to alcohol use.

Development and psychometric properties of a short version of the Patient Continuity of Care Questionnaire

INTRODUCTION

Hospitalization due to cardiac conditions is increasing worldwide, and follow-up after hospitalization usually occurs in a different healthcare setting than the one providing treatment during hospitalization. This leads to a risk of fragmented care and increases the need for coordination and continuity of care after hospitalization. Furthermore, international reports highlight the importance of improving continuity of care and state that it is an essential indicator of the quality of care. Patients' perceptions of continuity of care can be evaluated using the Patient Continuity of Care Questionnaire (PCCQ). However, the original version is extensive and may prove burdensome to complete; therefore, we aimed to develop and evaluate a short version of the PCCQ.

METHODS

This was a psychometric validation study. Content validity was evaluated among user groups, including patients (n = 7), healthcare personnel (n = 15), and researchers (n = 7). Based on the results of the content validity and conceptual discussions among the authors, 12 items were included in the short version. Data from patients were collected using a consecutive sampling procedure involving patients 6 weeks after hospitalization due to cardiac conditions. Rasch analysis was used to evaluate the psychometric properties of the short version of the PCCQ.

RESULTS

A total of 1000 patients were included [mean age 72 (SD = 10), 66% males]. The PCCQ-12 presented a satisfactory overall model fit and a person separation index of 0.79 (Cronbach's α: .91, ordinal α: .94). However, three items presented individual item misfits. No evidence of multidimensionality was found, meaning that a total score can be calculated. A total of four items presented evidence of response dependence but, according to the analysis, this did not seem to affect the measurement properties or reliability of the PCCQ-12. We found that the first two response options were disordered in all items. However, the reliability remained the same when these response options were amended. In future research, the benefits of the four response options could be evaluated.

CONCLUSION

The PCCQ-12 has sound psychometric properties and is ready to be used in clinical and research settings to measure patients' perceptions of continuity of care after hospitalization.

PATIENT OR PUBLIC CONTRIBUTION

Patients, healthcare personnel and researchers were involved in the study because they were invited to select items relevant to the short version of the questionnaire.

Measurement tools that assess the quality of transitional care from patients' perspective: A literature review

AIM

Transitional care is important for improving the quality of life of patients discharged from hospitals. Patient-reported experience measures help improve transitional care quality. Thus, this literature review aimed to identify and appraise measurement tools that assess transitional care quality from the patient's perspective and identify its components.

METHODS

Development and validation studies were systematically searched in the PubMed and CINAHL databases. The review team appraised the methodological quality and statistical results of measurement properties using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology.

RESULTS

A total of 30 studies and seven instruments were identified. The target population was patients discharged from hospital to a home or nursing home (mean age = 52-84 years). The measurement time was before or after the discharge. The number of items in the original versions of the measures ranged from eight to 41, with short versions ranging from three to 12. The overall methodological quality of structural validity, internal consistency, and hypotheses testing was mostly "very good or adequate," according to COSMIN criteria. However, content validity and development were mostly "inadequate or doubtful" or not reported. The main components of included measures comprised "self-care after discharge," "providing information to the patient," "patient engagement in the care plan," and "dealing with patient's concerns."

CONCLUSION

The quality appraisal results and identified components are useful for choosing measurement tools in clinical practice and research. The Care Transitions Measure is the most widely validated measurement tool.