ABSTRACT
Longitudinal monitoring of indicators of accidental falls can facilitate the planning of effective care and prevention actions. This article aims to analyze temporal trends in variables related to falls among older persons in Brazil and in the state of São Paulo during the period 2000-2020 and estimate the projected economic burden on the health system in 2025. We conducted a quantitative retrospective observational study using data from the Health Information System. The Joinpoint Regression Program version 4.7.0 and SPSS version 20.0 were used to perform linear regression and calculate the Average Annual Percent Change (AAPC), adopting a 95% confidence interval. There was an increase in mean and total admissions costs due to falls at national level in both intervals of the study period. There was an increase in total admissions costs and the total number of admissions due to falls in the state of São Paulo (AAPC of 8.5% and 4.3%, respectively). Projections for the year 2025 suggest that the total number of admissions due to falls in Brazil will be around 150,000, resulting in costs of approximately R$ 260 million. There was an increase in the variables analyzed by this study, revealing the importance of fall prevention programs associated with national public policies.
O acompanhamento longitudinal de indicadores, como os relacionados às quedas acidentais, pode facilitar o planejamento de ações mais eficazes de assistência e prevenção. O objetivo deste artigo é analisar a tendência temporal das variáveis relacionadas aos acidentes de quedas na população idosa no Brasil e no estado de São Paulo entre 2000 e 2020 e estimar o impacto econômico para o SUS em 2025. Este é um estudo observacional retrospectivo com abordagem quantitativa, com dados do Sistema de Informação em Saúde. Foram utilizados os softwares Joinpoint Regression Program versão 4.7.0 e SPSS versão 20.0 para a realização de regressões lineares, além da análise Average Annual Percent Change (AAPC), adotando um intervalo de confiança de 95%. No país, houve aumento das internações nos dois períodos analisados, assim como os gastos totais, em todos os segmentos analisados. Em concordância no estado de São Paulo, o valor total e as internações apresentaram aumento (AAPC, sendo 8,5% e 4,3% respectivamente). No ano de 2025, as internações por quedas no Brasil estarão próximas a 150 mil, gerando custos em torno de R$ 260 milhões. Houve o aumento das variáveis analisadas, mostrando a importância de programas de prevenção de quedas associados a políticas públicas nacionais.
Subject(s)
Accidental Falls , Financial Stress , Humans , Aged , Aged, 80 and over , Brazil/epidemiology , Accidental Falls/prevention & control , Hospitalization , Costs and Cost AnalysisABSTRACT
Resumo O acompanhamento longitudinal de indicadores, como os relacionados às quedas acidentais, pode facilitar o planejamento de ações mais eficazes de assistência e prevenção. O objetivo deste artigo é analisar a tendência temporal das variáveis relacionadas aos acidentes de quedas na população idosa no Brasil e no estado de São Paulo entre 2000 e 2020 e estimar o impacto econômico para o SUS em 2025. Este é um estudo observacional retrospectivo com abordagem quantitativa, com dados do Sistema de Informação em Saúde. Foram utilizados os softwares Joinpoint Regression Program versão 4.7.0 e SPSS versão 20.0 para a realização de regressões lineares, além da análise Average Annual Percent Change (AAPC), adotando um intervalo de confiança de 95%. No país, houve aumento das internações nos dois períodos analisados, assim como os gastos totais, em todos os segmentos analisados. Em concordância no estado de São Paulo, o valor total e as internações apresentaram aumento (AAPC, sendo 8,5% e 4,3% respectivamente). No ano de 2025, as internações por quedas no Brasil estarão próximas a 150 mil, gerando custos em torno de R$ 260 milhões. Houve o aumento das variáveis analisadas, mostrando a importância de programas de prevenção de quedas associados a políticas públicas nacionais.
Abstract Longitudinal monitoring of indicators of accidental falls can facilitate the planning of effective care and prevention actions. This article aims to analyze temporal trends in variables related to falls among older persons in Brazil and in the state of São Paulo during the period 2000-2020 and estimate the projected economic burden on the health system in 2025. We conducted a quantitative retrospective observational study using data from the Health Information System. The Joinpoint Regression Program version 4.7.0 and SPSS version 20.0 were used to perform linear regression and calculate the Average Annual Percent Change (AAPC), adopting a 95% confidence interval. There was an increase in mean and total admissions costs due to falls at national level in both intervals of the study period. There was an increase in total admissions costs and the total number of admissions due to falls in the state of São Paulo (AAPC of 8.5% and 4.3%, respectively). Projections for the year 2025 suggest that the total number of admissions due to falls in Brazil will be around 150,000, resulting in costs of approximately R$ 260 million. There was an increase in the variables analyzed by this study, revealing the importance of fall prevention programs associated with national public policies.
ABSTRACT
PURPOSE: To verify the treatment fidelity and satisfaction with a multifactorial intervention based on case management in community-dwelling older people with falls history and related sociodemographic and clinical factors. METHODS: This is a single-center, randomized, parallel-group controlled clinical trial. 62 community-dwelling older people with falls history were distributed into two groups. The Intervention Group (IG) underwent a case management involving multidimensional evaluation, explanation of the risk factors for falls identified, implementation of an intervention proposal based on the identified risks, elaboration of an individualized falls intervention plan, implementation, monitoring and review of the intervention plan. The Control Group (CG) was accompanied by a monthly phone call. After 16 weeks, the volunteers answered two closed questionnaires about treatment fidelity or non-fidelity to intervention (IG) and satisfaction with intervention (both groups). In addition, the frequency of intervention, adherence to each recommendation of the case management and satisfaction with general care were evaluated. RESULTS: There was good treatment fidelity based on case management, as well as good adherence to recommendations. In addition, the satisfaction of both groups was positive, although the IG had a better score (p<0.05). There was a significant influence of monthly income and general health on treatment fidelity (IG). Also, age, years of schooling, general health and physical mobility significantly influenced satisfaction with the IG. There was a significant influence of number of falls on satisfaction with monitoring conducted in the CG. CONCLUSIONS: Clinical and sociodemographic factors can influence treatment fidelity and satisfaction of older people with falls history to a falls prevention program.
Subject(s)
Case Management , Exercise Therapy , Humans , Aged , Exercise Therapy/methods , Independent Living , Personal SatisfactionABSTRACT
BACKGROUND: Individual case management programs may be particularly effective in reducing fall risk as they can better identify barriers and facilitators to health recommendations. OBJECTIVE: This paper describes the protocol for a single-blind, parallel-group randomized controlled trial that aims to investigate the effectiveness and cost-effectiveness of a home-based multifactorial program targeting fall risk factors among people aged 60 years and over who have fallen at least twice in the past 12 months (the MAGIC trial). METHODS: Older people with a history of at least 2 falls in the last year will be divided into 2 groups. The intervention group will receive case management at home for reducing the risk of falls, including a multidimensional assessment, explanation of fall risk factors, and elaboration and monitoring of an individualized intervention plan based on the identified fall risk factors, personal preferences, and available resources. The control group will be monitored once a month. Assessments (clinical data, fall risk awareness, physical and mental factors, safety at home, feet and shoes, and risk and rate of falls) will be carried out at baseline, after 16 weeks of the intervention, and at the posttrial 6-week and 1-year follow-up. After 16 weeks of the intervention, satisfaction and adherence to the intervention will also be assessed. Economic health will be evaluated for the period up to the posttrial 1-year follow-up. RESULTS: Data collection started in April 2021, and we expected to end recruitment in December 2021. This case management program will address multifactorial assessments using validated tools and the implementation of individualized intervention plans focused on reducing fall risk factors. CONCLUSIONS: This trial may provide reliable and valuable information about the effectiveness of case management for increasing fall risk awareness and reducing fall risk in older people. TRIAL REGISTRATION: Brazilian Clinical Trials Registry (ReBec) RBR-3t85fd; https://ensaiosclinicos.gov.br/rg/RBR-3t85fd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34796.
