Suchergebnisse

OBJECTIVES: To determine whether there was variation in nurse staffing across hospitals in Queensland prior to implementation of nurse-to-patient ratio legislation targeting medical-surgical wards, and if so, the extent to which nurse staffing variation was associated with poor outcomes for patients and nurses. DESIGN: Analysis of cross-sectional data derived from nurse surveys linked with admitted patient outcomes data. SETTING: Public hospitals in Queensland. PARTICIPANTS: 4372 medical-surgical nurses and 146 456 patients in 68 public hospitals. MAIN OUTCOME MEASURES: 30-day mortality, quality and safety indicators, nurse outcomes including emotional exhaustion and job dissatisfaction. RESULTS: Medical-surgical nurse-to-patient ratios before implementation of ratio legislation varied significantly across hospitals (mean 5.52 patients per nurse; SD=2.03). After accounting for patient characteristics and hospital size, each additional patient per nurse was associated with 12% higher odds of 30-day mortality (OR=1.12; 95% CI 1.01 to 1.26). Each additional patient per nurse was associated with poorer outcomes for nurses including 15% higher odds of emotional exhaustion (OR=1.15; 95% CI 1.07 to 1.23) and 14% higher odds of job dissatisfaction (OR=1.14; 95% CI 1.02 to 1.28), as well as higher odds of concerns about quality of care (OR=1.12; 95% CI 1.01 to 1.25) and patient safety (OR=1.32; 95% CI 1.11 to 1.57). CONCLUSIONS: Before ratios were implemented, nurse staffing varied considerably across Queensland hospital medical-surgical wards and higher nurse workloads were associated with patient mortality, low quality of care, nurse emotional exhaustion and job dissatisfaction. The considerable variation across hospitals and the link with outcomes suggests that taking action to improve staffing levels was prudent.

BACKGROUND: Substantial evidence indicates that patient outcomes are more favourable in hospitals with better nurse staffing. One policy designed to achieve better staffing is minimum nurse-to-patient ratio mandates, but such policies have rarely been implemented or evaluated. In 2016, Queensland (Australia) implemented minimum nurse-to-patient ratios in selected hospitals. We aimed to assess the effects of this policy on staffing levels and patient outcomes and whether both were associated. METHODS: For this prospective panel study, we compared Queensland hospitals subject to the ratio policy (27 intervention hospitals) and those that discharged similar patients but were not subject to ratios (28 comparison hospitals) at two timepoints: before implementation of ratios (baseline) and 2 years after implementation (post-implementation). We used standardised Queensland Hospital Admitted Patient Data, linked with death records, to obtain data on patient characteristics and outcomes (30-day mortality, 7-day readmissions, and length of stay [LOS]) for medical-surgical patients and survey data from 17 010 medical-surgical nurses in the study hospitals before and after policy implementation. Survey data from nurses were used to measure nurse staffing and, after linking with standardised patient data, to estimate the differential change in outcomes between patients in intervention and comparison hospitals, and determine whether nurse staffing changes were related to it. FINDINGS: We included 231 902 patients (142 986 in intervention hospitals and 88 916 in comparison hospitals) assessed at baseline (2016) and 257 253 patients (160 167 in intervention hospitals and 97 086 in comparison hospitals) assessed in the post-implementation period (2018). After implementation, mortality rates were not significantly higher than at baseline in comparison hospitals (adjusted odds ratio [OR] 1·07, 95% CI 0·97–1·17, p=0·18), but were significantly lower than at baseline in intervention hospitals (0·89, 0·84–0·95, p=0·0003). From ...

Abstract Background The Brazilian healthcare system offers universal coverage but lacks information about how patients with PC needs are serviced by its primary care program, Estratégia Saúde da Família (ESF). Methods Cross-sectional study in community settings. Patients in ESF program were screened using a Palliative Care Screening Tool (PCST). Included patients were assessed with Karnofsky Performance Scale (KPS), Edmonton Symptom Assessment System (ESAS) and Palliative Care Outcome Scale (POS). Results Patients with PC needs are accessing the ESF program regardless of there being no specific PC support provided. From 238 patients identified, 73 (43 women, 30 men) were identified as having a need for PC, and the mean age was 77.18 (95 % Confidence Interval = ±2,78) years, with non-malignant neurologic conditions, such as dementia and cerebrovascular diseases, being the most common (53 % of all patients). Chronic conditions (2 or more years) were found in 70 % of these patients, with 71 % scoring 50 or less points in the KPS. Overall symptom intensity was low, with the exception of some cases with moderate and high score, and POS average score was 14.16 points (minimum = 4; maximum = 28). Most patients received medication and professional support through the primary care units, but limitations of services were identified, including lack of home visits and limited multi-professional approaches. Conclusion Patients with PC needs were identified in ESF program. Basic health care support is provided but there is a lack of attention to some specific needs. PC policies and professional training should be implemented to improve this area.

OBJECTIVE: Informal family caregivers play a crucial role in cancer care. Effective caregiver involvement in cancer care can improve both patient and caregiver outcomes. Despite this, interventions improving the caregiver involvement are sparse. This protocol describes a randomised controlled trial evaluating the combined effectiveness of novel online caregiver communication education modules for: (1) oncology clinicians (eTRIO) and (2) patients with cancer and caregivers (eTRIO-pc). METHODS AND ANALYSIS: Thirty medical/radiation/surgical oncology or haematology doctors and nurses will be randomly allocated to either intervention (eTRIO) or control (an Australian State Government Health website on caregivers) education conditions. Following completion of education, each clinician will recruit nine patient–caregiver pairs, who will be allocated to the same condition as their recruiting clinician. Eligibility includes any new adult patient diagnosed with any type/stage cancer attending consultations with a caregiver. Approximately 270 patient–caregiver pairs will be recruited. The primary outcome is caregiver self-efficacy in triadic (clinician–patient–caregiver) communication. Patient and clinician self-efficacy in triadic communication are secondary outcomes. Additional secondary outcomes for clinicians include preferences for caregiver involvement, perceived module usability/acceptability, analysis of module use, satisfaction with the module, knowledge of strategies and feedback interviews. Secondary outcomes for caregivers and patients include preferences for caregiver involvement, satisfaction with clinician communication, distress, quality of life, healthcare expenditure, perceived module usability/acceptability and analysis of module use. A subset of patients and caregivers will complete feedback interviews. Secondary outcomes for caregivers include preparedness for caregiving, patient–caregiver communication and caring experience. Assessments will be conducted at baseline, and 1 week, 12 weeks and 26 weeks ...