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OBJECTIVE: Opioid prescriptions have increased in Switzerland, even though current guidelines warn of their harms. If opioids for postoperative analgesia are not tapered before hospital discharge, patients are at risk of adverse events such as constipation, drowsiness, dependence, tolerance and withdrawal. The aim of this study was to investigate and quantify the potential association between opioids prescribed at discharge from hospital and rehospitalisation.
METHODS: We conducted a nested case-control study using routinely collected electronic health records from a Swiss public acute hospital. Cases were patients aged 65 years or older admitted between November 2014 and December 2018, with documented opioid administration on the day of discharge and rehospitalisation within 18 or 30 days after discharge. Each case was matched to five controls for age, sex, year of hospitalisation and Charlson Comorbidity Index. We calculated odds ratios for 18-day and 30-day rehospitalisation based on exposure to opioids using a conditional logistic regression adjusted for potential confounders. Secondary analyses included stratifications into morphine-equivalent doses of <50 mg, 50-89 mg and ≥90 mg, and co-prescriptions of gabapentinoids and benzodiazepines.
RESULTS: Of 22,471 included patients, 3144 rehospitalisations were identified, of which 1698 were 18-day rehospitalisations and 1446 were 30-day rehospitalisations. Documented opioid administration on the day of discharge was associated with 30-day rehospitalisation after adjustment for confounders (adjusted odds ratio 1.48; 95% CI 1.25-1.75, p <0.001), while no difference was observed in the likelihood of 18-day rehospitalisation. The combined prescription of opioids with benzodiazepines or gabapentinoids and morphine-equivalent doses >50 mg were rare.
CONCLUSIONS: Patients receiving opioids on the day of discharge were 48% more likely to be readmitted to hospital within 30 days. Clinicians should aim to discontinue opioids started in hospital before discharge if possible. Patients receiving an opioid prescription should be educated and monitored as part of opioid stewardship programmes.

OBJECTIVE: Effective nurse-child communication is a fundamental aspect of delivering pediatric nursing care. Family caregivers\' global ratings to hospital are considered a proxy-reported measure for assessing a child\'s inpatient stay experience. We investigate the associations between nurse-child communication and family caregivers\' global ratings to hospital.
METHODS: A retrospective analysis of a national child patient experience survey data was conducted. Patient experience with nurse-child communication and the family caregivers\' global ratings of hospital were measured using the Child Hospital Consumer Assessment of Healthcare Providers and Systems. Hierarchical linear models were constructed to examine the association between nurse-child communication measures and family caregivers\' global ratings to hospital.
RESULTS: Data from 1010 patients at six National Regional Centers for Pediatric in China were collected. The overall rating of hospitals and the willingness to recommend the hospital showed increasing trends as the nurse-child communication score increased. How often nurses encourage children to ask questions was significantly associated with family caregivers\' overall ratings of hospital and the family caregivers\' willingness to recommend the hospital.
CONCLUSIONS: Effective communication by nurses with the child is associated with significantly higher global ratings to the hospital by family caregivers during inpatient care. Encouraging children to ask questions is a promising contributor to caregivers\' global ratings to hospital.
CONCLUSIONS: Pediatric nurses should emphasis encouraging children to ask questions for effective communication in nursing practice. Future research is also needed to develop more targeted strategies to assist pediatric nurse to communicate with child better.

BACKGROUND: Since 2020, China has piloted an innovative payment method known as the Diagnosis-Intervention Packet (DIP). This study aimed to assess the impact of the DIP on inpatient volume and bed allocation and their regional distribution. This study investigated whether the DIP affects the efficiency of regional health resource utilization and contributes to disparities in health equity among regions.
METHODS: We collected data from a central province in China from 2019 to 2022. The treatment group included 508 hospitals in the pilot area (Region A, where the DIP was implemented in 2021), whereas the control group consisted of 3,728 hospitals from non-pilot areas within the same province. We employed the difference-in-differences method to analyze inpatient volume and bed resources. Additionally, we conducted a stratified analysis to examine whether the effects of DIP implementation varied across urban and rural areas or hospitals of different levels.
RESULTS: Compared with the non-pilot regions, Region A experienced a statistically significant reduction in inpatient volume of 14.3% (95% CI 0.061-0.224) and a notable decrease of 9.1% in actual available bed days (95% CI 0.041-0.141) after DIP implementation. The study revealed no evidence of patient consultations shifting from inpatient to outpatient services due to the reduction in hospital admissions in Region A after DIP implementation. Stratified analysis revealed that inpatient volume decreased by 12.4% (95% CI 0.006-0.243) in the urban areas and 14.7% in the rural areas of Region A (95% CI 0.051-0.243). At the hospital level, primary hospitals experienced the greatest impact, with a 19.0% (95% CI 0.093-0.287) decline in inpatient volume. Furthermore, primary and tertiary hospitals experienced significant reductions of 11.0% (95% CI 0.052-0.169) and 8.2% (95% CI 0.002-0.161), respectively, in actual available bed days.
CONCLUSIONS: Despite efforts to curb excessive medical service expansion in the region following DIP implementation, large hospitals continue to attract a large number of patients from primary hospitals. This weakening of primary hospitals and the subsequent influx of patients to urban areas may further limit rural patients\' access to medical services. The implementation of the DIP may raise concerns about its impact on health care equality and accessibility, particularly for underserved rural populations.

BACKGROUND: Older people admitted to hospital in an emergency often have prolonged inpatient stays that worsen their outcomes, increase health-care costs, and reduce bed availability. Growing evidence suggests that the biopsychosocial complexity of their problems, which include cognitive impairment, depression, anxiety, multiple medical illnesses, and care needs resulting from functional dependency, prolongs hospital stays by making medical treatment less efficient and the planning of post-discharge care more difficult. We aimed to assess the effects of enhancing older inpatients\' care with Proactive Integrated Consultation-Liaison Psychiatry (PICLP) in The HOME Study. We have previously described the benefits of PICLP reported by patients and clinicians. In this Article, we report the effectiveness and cost-effectiveness of PICLP-enhanced care, compared with usual care alone, in reducing time in hospital.
METHODS: We did a parallel-group, multicentre, randomised controlled trial in 24 medical wards of three English acute general hospitals. Patients were eligible to take part if they were 65 years or older, had been admitted in an emergency, and were expected to remain in hospital for at least 2 days from the time of enrolment. Participants were randomly allocated to PICLP or usual care in a 1:1 ratio by a database software algorithm that used stratification by hospital, sex, and age, and randomly selected block sizes to ensure allocation concealment. PICLP clinicians (consultation-liaison psychiatrists supported by assisting clinicians) made proactive biopsychosocial assessments of patients\' problems, then delivered discharge-focused care as integrated members of ward teams. The primary outcome was time spent as an inpatient (during the index admission and any emergency readmissions) in the 30 days post-randomisation. Secondary outcomes were the rate of discharge from hospital for the total length of the index admission; discharge destination; the length of the index admission after random allocation truncated at 30 days; the number of emergency readmissions to hospital, the number of days spent as an inpatient in an acute general hospital, and the rate of death in the year after random allocation; the patient\'s experience of the hospital stay; their view on the length of the hospital stay; anxiety (Generalized Anxiety Disorder-2); depression (Patient Health Questionnaire-2); cognitive function (Montreal Cognitive Assessment-Telephone version); independent functioning (Barthel Index of Activities of Daily Living); health-related quality of life (five-level EuroQol five-dimension questionnaire); and overall quality of life. Statisticians and data collectors were masked to treatment allocation; participants and ward staff could not be. Analyses were intention-to-treat. The trial had a patient and public involvement panel and was registered with ISRTCN (ISRCTN86120296).
RESULTS: 2744 participants (1399 [51·0%] male and 1345 [49·0%] female) were enrolled between May 2, 2018, and March 5, 2020; 1373 were allocated to PICLP and 1371 to usual care. Participants\' mean age was 82·3 years (SD 8·2) and 2565 (93·5%) participants were White. The mean time spent in hospital in the 30 days post-randomisation (analysed for 2710 [98·8%] participants) was 11·37 days (SD 8·74) with PICLP and 11·85 days (SD 9·00) with usual care; adjusted mean difference -0·45 (95% CI -1·11 to 0·21; p=0·18). The only statistically and clinically significant difference in secondary outcomes was the rate of discharge, which was 8.5% higher (rate ratio 1·09 [95% CI 1·00 to 1·17]; p=0·042) with PICLP-a difference most apparent in patients who stayed for more than 2 weeks. Compared with usual care, PICLP was estimated to be modestly cost-saving and cost-effective over 1 and 3, but not 12, months. No intervention-related serious adverse events occurred.
CONCLUSIONS: This is the first randomised controlled trial of PICLP. PICLP is experienced by older medical inpatients and ward staff as enhancing medical care. It is also likely to be cost-saving in the short-term. Although the trial does not provide strong evidence that PICLP reduces time in hospital, it does support and inform its future development and evaluation.
BACKGROUND: UK National Institute for Health and Care Research.

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UNASSIGNED: Although the mechanism is unclear, Pseudomonas aeruginosa (PA) infection directly affects the frequency of acute exacerbations in patients with bronchiectasis. The aims of this article are to analyze the genetic mutation characteristics of the algUmucABD operon in PA, isolated from hospitalized patients with bronchiectasis, and to explore independent risk factors for frequent acute exacerbations of bronchiectasis.
UNASSIGNED: Based on the number of acute exacerbations that occurred in the past year, these patients with bronchiectasis were divided into those with frequent acute exacerbations (Group A) and those with non-frequent acute exacerbations (Group B). We identified the distribution of mucoid phenotypes (MPs) and alginate morphotypes (AMs) in PA, and classified them into I-IV categories based on their different AMs; otherwise, the gene mutation types (GMTs) of the algUmucABD operon were tested. Subsequently, the relationship between GMT, MP, and AM and the independent risk factors for frequent acute exacerbations in patients with bronchiectasis were explored.
UNASSIGNED: A total of 93 patients and 75 PA strains, from January 2019 to August 2023, were included in this study. The MP and AM distributions of PA were as follows: 64 strains (85.33%) of mucoid (the AMs were 38 strains of type I, 3 strains of type II, and 23 strains of type IV) and 11 strains of non-mucoid (the AM was type III only). Mucoid PA with algU, mucA, mucB, and mucD mutations accounted for 19.61%, 74.51%, 31.37%, and 50.98%, respectively. GMT was divided into the following: mucA mutations only, mucA combined with other gene mutations, other gene mutations without mucA mutations, and without gene mutations. In 91.7% of PA with type I of AM, only mucA mutations occurred, and in both separate MP and AM, the GMT differences were statistically significant. Lastly, the number of lung lobes with bronchiectasis and the number of PA with mucA mutations only were the independent risk factors for frequent acute exacerbations.
UNASSIGNED: The mucA mutation was primarily responsible for the mucoid of MP and type I of AM in PA, and it was also an independent risk factor for frequent exacerbations of bronchiectasis.

BACKGROUND: Catastrophic health expenditures condensed the vital concern of households struggling with notable financial burdens emanating from elevated out-of-pocket healthcare expenditures. In this regard, this study investigated the nature and magnitude of inpatient healthcare expenditure in India. It also explored the incidence and determinants of inpatient catastrophic health expenditure.
METHODS: The study used the micro-level data collected in the 75th Round of the National Sample Survey on 93 925 households in India. Descriptive statistics were used to examine the nature, magnitude and incidence of inpatient healthcare expenditure. The heteroscedastic probit model was applied to explore the determinants of inpatient catastrophic healthcare expenditure.
RESULTS: The major part of inpatient healthcare expenditure was composed of bed charges and expenditure on medicines. Moreover, results suggested that Indian households spent 11% of their monthly consumption expenditure on inpatient healthcare and 28% of households were grappling with the complexity of financial burden due to elevated inpatient healthcare. Further, the study explored that bigger households and households having no latrine facilities and no proper waste disposal plans were more vulnerable to facing financial burdens in inpatient healthcare activity. Finally, the result of this study also ensure that households having toilets and safe drinking water facilities reduce the chance of facing catastrophic inpatient health expenditures.
CONCLUSIONS: A significant portion of monthly consumption expenditure was spent on inpatient healthcare of households in India. It was also conveyed that inpatient healthcare expenditure was a severe burden for almost one fourth of households in India. Finally, it also clarified the influence of socio-economic conditions and sanitation status of households as having a strong bearing on their inpatient healthcare.

BACKGROUND: The Safewards model aims to reduce conflict and use of containment on psychiatric wards. To evaluate the implementation of Safewards and understand why it is effective in some settings but not in others, it is important to assess the level of implementation fidelity. To do this, the Safewards Fidelity Checklist (SFC) is often used, which focuses on objective visual observations of interventions but does not include patient responsiveness. The latter is a key indicator of implementation fidelity and includes engagement, relevance, acceptability and usefulness. The aim of the present study was to investigate the fidelity of Safewards implementation on an acute psychiatric ward from the perspective of patient responsiveness.
METHODS: The study was conducted on a ward for patients with mainly affective disorders. To assess the general level of fidelity the SFC was used together with a detailed ward walkthrough. Ten patients were interviewed with a focus on patient responsiveness to each of the seven interventions implemented on the ward. Data were analysed using qualitative descriptive analysis.
RESULTS: The findings indicate high implementation fidelity, which was reflected in the SFC assessment, walkthrough and patient responsiveness. Patients gave examples of improvements that had happened over time or of the ward being better than other wards. They felt respected, less alone, hopeful and safe. They also described supporting fellow patients and taking responsibility for the ward climate. However, some patients were unfamiliar with a ward where so much communication was expected. Several suggestions were made about improving Safewards.
CONCLUSIONS: This study confirms previous research that patient responsiveness is an important factor for achieving fidelity in a prevention programme. The patients\' descriptions of the acceptability, relevance and usefulness of the specific interventions reflected to a high degree the objective visual observations made by means of the SFC and ward walkthrough. Patient engagement was demonstrated by several suggestions about how to adapt the interventions. There is potential to obtain valuable input from patients when adapting Safewards in practice. This study also presents many examples of practical work with these interventions and the effects it can have on patients\' experiences of care.