RESUMEN
OBJECTIVE: Several studies of nurse staffing and patient outcomes found a curvilinear or U-shaped relationship, with benefits from additional nurse staffing diminishing or reversing at high staffing levels. This study examined potential diminishing returns to nurse staffing and the existence of a "tipping point" or the level of staffing after which higher nurse staffing no longer improves and may worsen readmissions. DATA SOURCES/STUDY SETTING: The Readiness Evaluation And Discharge Interventions (READI) study database of over 130,000 adult (18+) inpatient discharges from 62 medical, surgical, and medical-surgical (noncritical care) units from 31 United States (US) hospitals during October 2014-March 2017. STUDY DESIGN: Observational cross-sectional study using a fully nonparametric random forest machine learning method. Primary exposure was nurse hours per patient day (HPPD) broken down by registered nurses (nonovertime and overtime) and nonlicensed nursing personnel. The outcome was 30-day all-cause same-hospital readmission. Partial dependence plots were used to visualize the pattern of predicted patient readmission risk along a range of unit staffing levels, holding all other patient characteristics and hospital and unit structural variables constant. DATA COLLECTION/EXTRACTION METHODS: Secondary analysis of the READI data. Missing values were imputed using the missing forest algorithm in R. PRINCIPAL FINDINGS: Partial dependence plots were U-shaped, showing the readmission risk first declining and then rising with additional nurse staffing. The tipping points were at 6.95 and 0.21 HPPD for registered nurse staffing (nonovertime and overtime, respectively) and 2.91 HPPD of nonlicensed nursing personnel. CONCLUSIONS: The U-shaped association was consistent with diminishing returns to nurse staffing suggesting that incremental gains in readmission reduction from additional nurse staffing taper off and could reverse at high staffing levels. If confirmed in future causal analyses across multiple outcomes, accompanying investments in infrastructure and human resources may be needed to maximize nursing performance outcomes at higher levels of nurse staffing.
Asunto(s)
Personal de Enfermería en Hospital , Admisión y Programación de Personal , Adulto , Estudios Transversales , Humanos , Aprendizaje Automático , Readmisión del Paciente , Estados Unidos , Recursos HumanosRESUMEN
BACKGROUND: Home health care, a commonly used bridge strategy for transitioning from hospital to home-based care, is expected to contribute to readmission avoidance efforts. However, in studies using disease-specific samples, evidence about the effectiveness of home health care in reducing readmissions is mixed. OBJECTIVE: To examine the effectiveness of home health care in reducing return to hospital across a diverse sample of patients discharged home following acute care hospitalization. RESEARCH DESIGN: Secondary analysis of a multi-site dataset from a study of discharge readiness assessment and post-discharge return to hospital, comparing matched samples of patients referred and not referred for home health care at the time of hospital discharge. SETTING: Acute care, Magnet-designated hospitals in the United States PARTICIPANTS: The available sample (n = 18,555) included hospitalized patients discharged from medical-surgical units who were referred (n = 3,579) and not referred (n = 14,976) to home health care. The matched sample included 2767 pairs of home health care and non- home health care patients matched on patient and hospitalization characteristics using exact and Mahalanobis distance matching. METHODS: Unadjusted t-tests and adjusted multinomial logit regression analyses to compare the occurrence of readmissions and Emergency Department/Observation visits within 30 and 60-days post-discharge. RESULTS: No statistically significant differences in readmissions or Emergency Department /Observation visits between home health care and non-home health care patients were observed. CONCLUSIONS: Home health care referral was not associated with lower rates of return to hospital within 30 and 60 days in this US sample matched on patient and clinical condition characteristics. This result raises the question of why home health care services did not produce evidence of lower post-discharge return to hospital rates. Focused attention by home health care programs on strategies to reduce readmissions is needed.
Asunto(s)
Cuidados Posteriores , Servicios de Atención de Salud a Domicilio , Servicio de Urgencia en Hospital , Hospitales , Humanos , Alta del Paciente , Readmisión del Paciente , Estados UnidosRESUMEN
BACKGROUND: Promoting continuity of nurse assignment during discharge care has the potential to increase patient readiness for discharge-which has been associated with fewer readmissions and emergency department visits. The few studies that examined nurse continuity during acute care hospitalizations did not focus on discharge or postdischarge outcomes. OBJECTIVES: The aim of this research was to examine the association of continuity in nurse assignment to patients prior to hospital discharge with return to hospital (readmission and emergency department or observation visits), including exploration of the mediating pathway through patient readiness for discharge and moderating effects of unit environment and unit nurse characteristics. METHODS: In a sample of 18,203 adult, medical-surgical patients from 31 Magnet hospitals, a correlational path analysis design was used in a secondary analysis to evaluate the effect of nurse continuity on readmissions and emergency department or observation visits within 30 days after hospital discharge. The mediating pathway through discharge readiness measured by patient self-report and nurse assessments was also assessed. Moderating effects of unit environment and nursing characteristics were examined across quartiles of unit environment (nurse staffing hours per patient day) and unit nurse characteristics (education and experience). Analyses were adjusted for patient characteristics, unit fixed effects, and clustering at the unit level. RESULTS: Continuous nurse assignment on the last 2 days of hospitalization was observed in 6,441 (35.4%) patient discharges and was associated with a 0.85 absolute percentage point reduction (7.8% relative reduction) in readmissions. There was no significant association with emergency department or observation visits. Sensitivity analysis revealed a stronger effect in patients with higher Elixhauser Comorbidity Indexes. Readiness for discharge was not a mediator of the effect of continuity on return to hospital. Unit characteristics were not associated with nurse continuity. No moderation effect was evident for unit environment and nurse characteristics. DISCUSSION: Continuity of nurse assignment on the last 2 days of hospitalization can reduce readmissions. Staffing for continuity may benefit patients and healthcare systems, with greater benefits for high-comorbidity patients. Nurse continuity prior to hospital discharge should be a priority consideration in assigning acute care nurses to augment readmission reduction efforts.
Asunto(s)
Continuidad de la Atención al Paciente/estadística & datos numéricos , Personal de Enfermería en Hospital , Alta del Paciente/estadística & datos numéricos , Readmisión del Paciente/estadística & datos numéricos , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Investigación en Evaluación de EnfermeríaRESUMEN
OBJECTIVE: Applied to value-based health care, the economic term "individual productivity" refers to the quality of an outcome attributable through a care process to an individual clinician. This study aimed to (1) estimate and describe the discharge preparation productivities of individual acute care nurses and (2) examine the association between the discharge preparation productivity of the discharging nurse and the patient's likelihood of a 30-day return to hospital [readmission and emergency department (ED) visits]. RESEARCH DESIGN: Secondary analysis of patient-nurse data from a cluster-randomized multisite study of patient discharge readiness and readmission. Patients reported discharge readiness scores; postdischarge outcomes and other variables were extracted from electronic health records. Using the structure-process-outcomes model, we viewed patient readiness for hospital discharge as a proximal outcome of the discharge preparation process and used it to measure nurse productivity in discharge preparation. We viewed hospital return as a distal outcome sensitive to discharge preparation care. Multilevel regression analyses used a split-sample approach and adjusted for patient characteristics. SUBJECTS: A total 522 nurses and 29,986 adult (18+ y) patients discharged to home from 31 geographically diverse medical-surgical units between June 15, 2015 and November 30, 2016. MEASURES: Patient discharge readiness was measured using the 8-item short form of Readiness for Hospital Discharge Scale (RHDS). A 30-day hospital return was a categorical variable for an inpatient readmission or an ED visit, versus no hospital return. RESULTS: Variability in individual nurse productivity explained 9.07% of variance in patient discharge readiness scores. Nurse productivity was negatively associated with the likelihood of a readmission (-0.48 absolute percentage points, P<0.001) and an ED visit (-0.29 absolute percentage points, P=0.042). CONCLUSIONS: Variability in individual clinician productivity can have implications for acute care quality patient outcomes.
Asunto(s)
Eficiencia Organizacional/estadística & datos numéricos , Personal de Enfermería en Hospital/estadística & datos numéricos , Alta del Paciente/normas , Readmisión del Paciente/estadística & datos numéricos , Calidad de la Atención de Salud/estadística & datos numéricos , Adulto , Análisis por Conglomerados , Femenino , Hospitales/normas , Hospitales/estadística & datos numéricos , Humanos , Funciones de Verosimilitud , Masculino , Persona de Mediana Edad , Personal de Enfermería en Hospital/normas , Adulto JovenRESUMEN
Importance: The downward trend in readmissions has recently slowed. New enhancements to hospital readmission reduction efforts are needed. Structured assessment of patient readiness for discharge has been recommended as an addition to discharge preparation standards of care to assist with tailoring of risk-mitigating actions. Objective: To determine the effect of unit-based implementation of readiness evaluation and discharge intervention protocols on readmissions and emergency department or observation visits. Design, Setting, and Participants: The Readiness Evaluation and Discharge Interventions (READI) cluster randomized clinical trial conducted in medical-surgical units of 33 Magnet hospitals between September 15, 2014, and March 31, 2017, included all adult (aged ≥18 years) patients discharged to home. Baseline and risk-adjusted intent-to-treat analyses used difference-in-differences multilevel logistic regression models with controls for patient characteristics. Interventions: Of 2 adult medical-surgical nursing units from each hospital, 1 was randomized to the intervention and 1 to usual care conditions. Using the 8-item Readiness for Hospital Discharge Scale, the 33 intervention units implemented a sequence of protocols with increasing numbers of components: READI1, in which nurses assessed patients to inform discharge preparation; READI2, which added patient self-assessment; and READI3, which added an instruction to act on a specified Readiness for Hospital Discharge Scale cutoff score indicative of low readiness. Main Outcomes and Measures: Thirty-day return to hospital (readmission or emergency department and observation visits). Intervention units above median baseline readmission rate (>11.3%) were categorized as high-readmission units. Among the 33 intervention units, 17 were low-readmission units and 16 were high-readmission units. Results: The sample included 144â¯868 patient discharges (mean [SD] age, 59.6 [17.5] years; 51% female; 74â¯605 in the intervention group and 70â¯263 in the control group); 17â¯667 (12.2%) were readmitted and 12â¯732 (8.8%) had an emergency department visit or observation stay. None of the READI protocols reduced the primary outcome of return to hospital in intent-to-treat analysis of the full sample. In exploratory subgroup analysis, when patient self-assessments were combined with readiness assessment by nurses (READI2), readmissions were reduced by 1.79 percentage points (95% CI, -3.20 to -0.40 percentage points; P = .009) on high-readmission units. With nurse assessment alone and on low-readmission units, results were mixed. Conclusions and Relevance: Implemented in a broad range of hospitals and patients, the READI interventions were not effective in reducing return to hospital. However, adding a structured discharge readiness assessment that incorporates the patient's own perspective to usual discharge care practices holds promise for mitigating high rates of return to the hospital following discharge. Trial Registration: ClinicalTrials.gov Identifier: NCT01873118.