ABSTRACT
BACKGROUND: Estimate the costs of inpatient and outpatient care for people with Cerebral Palsy (CP) in Brazil. RESEARCH DESIGN AND METHODS: Health records of people with CP in the Hospital and Outpatient Information Systems of Brazil between 2015 and 2019 were analyzed. Variables analyzed were gender, age, ICD, Intensive Care Unit (ICU) use, total cost, and ICU cost. Costs were adjusted for inflation and converted to dollars. Linear regression analysis was performed to investigate the association between social and clinical variables and direct costs. RESULTS: A total direct cost of approximately $166 million to the National Health System was identified, with $7.08 million/year and $26.1 million/year of inpatient and outpatient costs, respectively. The healthcare was primarily for children up to 14 years of age. The ICD 'spastic quadriplegic CP' received the most attendance. Rehabilitation was responsible for 75% of the outpatient care, with physiotherapy standing out. Increased age, use of ICU, and the types of CP are related to increased cost. CONCLUSIONS: Healthcare for people with CP produced expressive costs for the Brazilian public health system, mainly with outpatient procedures and rehabilitation, with children being the most attended. Estimating these costs assist in better resource allocation for more effective healthcare provision.
ABSTRACT
Background: Low back pain is one of the main causes of disability worldwide. Individuals with chronic conditions have been widely affected by the COVID-19 pandemic. In this context, mobile health (mHealth) has become popular, mostly due to the widespread use of smartphones. Despite the considerable number of apps for low back pain available in app stores, the effectiveness of these technologies is not established, and there is a lack of evidence regarding the effectiveness of the isolated use of mobile apps in the self-management of low back pain. Objective: We summarized the evidence on the effectiveness of mHealth interventions on pain and disability for individuals with chronic low back pain. Methods: We conducted a systematic review and meta-analysis comparing mHealth to usual care or no intervention. The search terms used were related to low back pain and mHealth. Only randomized controlled trials were included. The primary outcomes were pain intensity and disability, and the secondary outcome was quality of life. Searches were carried out in the following databases, without date or language restriction: PubMed, Scopus, Embase, Physiotherapy Evidence Database (PEDro), the Cochrane Library, and OpenGrey, in addition to article references. The risk of bias was analyzed using the PEDro scale. Data were summarized descriptively and through meta-analysis (pain intensity and disability). In the meta-analysis, eligible studies were combined while considering clinical and methodological homogeneity. The certainty of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) criteria. Results: A total of 5 randomized controlled trials were included, totaling 894 participants (447 allocated to the mHealth group and 445 to the usual care group), and they had similar methodological structure and interventions. Follow-up ranged from 6 weeks to 12 months. The studies did not demonstrate significant differences for pain intensity (mean difference -0.86, 95% CI -2.29 to 0.58; P=.15) and disability (standardized mean difference -0.24, 95% CI -0.69 to 0.20; P=.14) when comparing mHealth and usual care. All studies showed biases, with emphasis on nonconcealed allocation and nonblinding of the outcome evaluator. The certainty of evidence was rated as low for the analyzed outcomes. Conclusions: mHealth alone was no more effective than usual care or no treatment in improving pain intensity and disability in individuals with low back pain. Due to the biases found and the low certainty of evidence, the evidence remains inconclusive, and future quality clinical trials are needed.