RESUMO
BACKGROUND: Ageing populations and health-care staff shortages encourage efforts in primary care to recognise and prevent health deterioration and acute hospitalisation in community-dwelling older adults. The PATINA algorithm and decision-support tool alerts home-based-care nurses to older adults at risk of hospitalisation. The study aim was to test whether use of the PATINA tool was associated with changes in health-care use. METHODS: An open-label, stepped-wedge, cluster-randomised controlled trial was done in three Danish municipalities, covering 20 area teams providing home-based care to around 7000 recipients. During a period of 12 months, area teams were randomly assigned to an intervention crossover for older adults (aged 65 years or older) who received care at home. The primary outcome was hospitalisation within 30 days of identification by the algorithm as being at risk of hospitalisation. Secondary outcomes were hospital readmission and other hospital contacts, outpatient contacts, contact with primary care physicians (PCPs), temporary care, and death, within 30 days of identification. This study was registered at ClinicalTrials.gov (NTC04398797). FINDINGS: In total, 2464 older adults participated in the study: 1216 (49·4%) in the control phase and 1248 (50·6%) in the intervention phase. In the control phase, 102 individuals were hospitalised within 30 days during 33â943 days of risk (incidence 0·09 per 30 days), compared with 118 individuals within 34â843 days of risk (0·10 per 30 days) during the intervention phase. The intervention was not associated with a reduction in the number of first hospitalisations within 30 days (incidence rate ratio [IRR] 1·10 [90% CI 0·90-1·40]; p=0·28). Furthermore it was not associated with reduced rates of other hospital contacts (IRR 1·10 [95% CI 0·90-1·40]; p=0·28), outpatient contacts (1·10 [0·88-1·40]; p=0·42), or mortality (0·82 [0·58-1·20]; p=0·25). The intervention was associated with a 59% reduction in readmissions within 30 days of hospital discharge (IRR 0·41 [95% CI 0·24-0·68]; p=0·0007), a 140% increase in contacts with PCPs (2·40 [1·18-3·20]; p<0·0001), and a 150% increase in use of temporary care (2·50 [1·40-4·70]; p=0·0027). INTERPRETATION: Despite having no effect on the primary outcome, the PATINA tool showed other benefits for older adults receiving home-based care. Such algorithms have the potential to shift health-care use from secondary to primary care but need to be tested in other home-based care settings. Implementation of algorithms in clinical practice should be informed by analysis of cost-effectiveness and potential harms as well as the benefits. FUNDING: Innovation Fund Denmark and Region of Southern Denmark. TRANSLATIONS: For the Danish, French and German translations of the abstract see Supplementary Materials section.
Assuntos
Hospitalização , Vida Independente , Humanos , Idoso , Readmissão do Paciente , Alta do Paciente , Dinamarca/epidemiologiaRESUMO
BACKGROUND: The challenges imposed by ageing populations will confront health care systems in the years to come. Hospital owners are concerned about the increasing number of acute admissions of older citizens and preventive measures such as integrated care models have been introduced in primary care. Yet, acute admission can be appropriate and lifesaving, but may also in itself lead to adverse health outcome, such as patient anxiety, functional loss and hospital-acquired infections. Timely identification of older citizens at increased risk of acute admission is therefore needed. We present the protocol for the PATINA study, which aims at assessing the effect of the 'PATINA algorithm and decision support tool', designed to alert community nurses of older citizens showing subtle signs of declining health and at increased risk of acute admission. This paper describes the methods, design and intervention of the study. METHODS: We use a stepped-wedge cluster randomized controlled trial (SW-RCT). The PATINA algorithm and decision support tool will be implemented in 20 individual area home care teams across three Danish municipalities (Kerteminde, Odense and Svendborg). The study population includes all home care receiving community-dwelling citizens aged 65 years and above (around 6500 citizens). An algorithm based on home care use triggers an alert based on relative increase in home care use. Community nurses will use the decision support tool to systematically assess health related changes for citizens with increased risk of acute hospital admission. The primary outcome is acute admission. Secondary outcomes are readmissions, preventable admissions, death, and costs of health care utilization. Barriers and facilitators for community nurse's acceptance and use of the algorithm will be explored too. DISCUSSION: This 'PATINA algorithm and decision support tool' is expected to positively influence the care for older community-dwelling citizens, by improving nurses' awareness of citizens at increased risk, and by supporting their clinical decision-making. This may increase preventive measures in primary care and reduce use of secondary health care. Further, the study will increase our knowledge of barriers and facilitators to implementing algorithms and decision support in a community care setup. TRIAL REGISTRATION: ClinicalTrials.gov , identifier: NCT04398797 . Registered 13 May 2020.
