Determinants of outpatient expenditure within primary care in the Brazilian National Health System

Sao Paulo Med J. 2017 May-Jun;135(3):205-212. doi: 10.1590/1516-3180.2016.0224141116. Epub 2017 Apr 3.

Abstract

Context and objective:: One of the big challenges facing governments worldwide is the financing of healthcare systems. Thus, it is necessary to understand the factors and key components associated with healthcare expenditure. The aim here was to identify demographic, socioeconomic, lifestyle and clinical factors associated with direct healthcare expenditure within primary care, among adults attended through the Brazilian National Health System in the city of Bauru.

Design and setting:: Cross-sectional study conducted in five primary care units in Bauru (SP), Brazil.

Methods:: Healthcare expenditure over the last 12 months was assessed through medical records of adults aged 50 years or more. Annual healthcare expenditure was assessed in terms of medication, laboratory tests, medical consultations and the total. Body mass index, waist circumference, hypertension, age, sex, physical activity and smoking were assessed through face-to-face interviews.

Results:: The total healthcare expenditure for 963 participants of this survey was US$ 112,849.74 (46.9% consultations, 35.2% medication and 17.9% laboratory tests). Expenditure on medication was associated with overweight (odds ratio, OR = 1.80; 95% confidence interval, CI: 1.07-3.01), hypertension (OR = 3.04; 95% CI: 1.91-4.82) and moderate physical activity (OR = 0.56; 95% CI: 0.38-0.81). Expenditure on consultations was associated with hypertension (OR = 1.67; 95% CI: 1.12-2.47) and female sex (OR = 1.70; 95% CI: 1.14-2.55).

Conclusions:: Our results showed that overweight, lower levels of physical activity and hypertension were independent risk factors associated with higher healthcare expenditure within primary care.

CONTEXTO E OBJETIVO:: Um dos grandes desafios dos governos em todo o mundo é o financiamento de sistemas de saúde e, por isso, é necessário compreender fatores e componentes-chave associados a despesas em saúde. O objetivo foi identificar fatores demográficos, socioeconômicos, de estilo de vida e clínicos associados aos gastos diretos com saúde na atenção primária entre adultos do Sistema Único de Saúde da cidade de Bauru.

TIPO DE ESTUDO E LOCAL:: Estudo transversal realizado em cinco Unidades Básicas de Saúde em Bauru (SP), Brasil.

MÉTODO:: Gastos com saúde nos últimos 12 meses foram avaliados através de prontuários médicos de adultos de 50 anos ou mais. Gastos anuais com saúde foram avaliados com: medicamentos, exames laboratoriais, consultas médicas e total. Índice de massa corporal, circunferência da cintura, hipertensão, idade, sexo, atividade física e tabagismo foram avaliados por meio de entrevista face a face.

RESULTADOS:: O gasto total com serviços de saúde para os 963 participantes deste inquérito foi de US$ 112.849.74 (46,9% consultas, 35,2% medicamentos e 17,9% exames). Gastos com medicamentos foram associados com sobrepeso (odds ratio, OR = 1,80 [intervalo de confiança, IC 95%: 1,07-3,01]), hipertensão (OR = 3,04 [IC 95%: 1,91-4,82]) e atividade física moderada (OR = 0,56 [95% IC: 0,38-0,81]). Gastos com consultas foram associados com hipertensão (OR = 1,67 [IC 95%: 1,12-2,47]) e sexo feminino (OR = 1,70 [IC 95%: 1,14-2,55]).

CONCLUSÃO:: Nossos resultados mostraram que sobrepeso, menor nível de atividade física e hipertensão são fatores de risco independentes associados com maiores gastos com saúde na atenção primária.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Ambulatory Care / economics*
  • Anthropometry
  • Brazil
  • Cross-Sectional Studies
  • Exercise
  • Female
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Hypertension / economics
  • Life Style
  • Logistic Models
  • Male
  • Medical Records
  • Middle Aged
  • National Health Programs / economics*
  • Overweight / economics
  • Primary Health Care / economics*
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors
  • Statistics, Nonparametric
  • Time Factors