Impact of primary health care on mortality from heart and cerebrovascular diseases in Brazil: a nationwide analysis of longitudinal data

Objectives To evaluate the impact of Brazil’s recently implemented Family Health Program (FHP), the largest primary health care programme in the world, on heart and cerebrovascular disease mortality across Brazil from 2000 to 2009. Design Ecological longitudinal design, evaluating the impact of FHP using negative binomial regression models for panel data with fixed effects specifications. Setting Nationwide analysis of data from Brazilian municipalities covering the period from 2000 to 2009. Data sources 1622 Brazilian municipalities with vital statistics of adequate quality. Main outcome measures The annual FHP coverage and the average FHP coverage in previous years were used as main independent variables and classified as none (0%), incipient (<30%), intermediate (30-69%), or consolidated (≥70%). Age standardised mortality rates from causes in the group of cerebrovascular (ICD-10 codes I60-69), ischaemic (ICD-10 I20-25), and other forms of heart diseases (ICD-10 I30-52), which were included in the national list of ambulatory care-sensitive conditions, were calculated for each municipality for each year. They accounted for 40% of all deaths from these groups during the study period. Results FHP coverage was negatively associated with mortality rates from cerebrovascular and heart diseases (ambulatory care-sensitive conditions) in both unadjusted and adjusted models for demographic, social, and economic confounders. The FHP had no effect on the mortality rate for accidents, used as a control. The rate ratio for the effect of consolidated annual FHP coverage on cerebrovascular disease mortality and on heart disease mortality was 0.82 (95% confidence interval 0.79 to 0.86) and 0.79 (0.75 to 0.80) respectively, reaching the value of 0.69 (0.66 to 0.73) and 0.64 (0.59 to 0.68) when the coverage was consolidated during all the previous eight years. Moreover, FHP coverage increased the number of health education activities, domiciliary visits, and medical consultations and reduced hospitalisation rates for cerebrovascular and heart disease. Several complementary analyses showed quantitatively similar results. Conclusions Comprehensive and community based primary health care programmes, such as the FHP in Brazil, acting through cardiovascular disease prevention, care, and follow-up can contribute to decreased cardiovascular disease morbidity and mortality in a developing country such as Brazil.

[1]  L. Braitman,et al.  Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide , 2004, Annals of Internal Medicine.

[2]  Maria Elmira Alfradique,et al.  Internações por condições sensíveis à atenção primária: a construção da lista brasileira como ferramenta para medir o desempenho do sistema de saúde (Projeto ICSAP - Brasil) , 2009 .

[3]  Stephen S. Lim,et al.  Prevention of cardiovascular disease in high-risk individuals in low-income and middle-income countries: health effects and costs , 2007, The Lancet.

[4]  S. Capewell,et al.  Can dietary changes rapidly decrease cardiovascular mortality rates? , 2011, European heart journal.

[5]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[6]  T. Macdonald Preventing Chronic Diseases: A Vital Investment , 2006 .

[7]  Edward W. Frees,et al.  Longitudinal and Panel Data , 2004 .

[8]  S. Mendis,et al.  Prevention of cardiovascular disease in developing countries , 2007, The Lancet.

[9]  Bruce Bartholow Duncan,et al.  Chronic non-communicable diseases in Brazil: burden and current challenges , 2011, The Lancet.

[10]  B. Henderson,et al.  Socioeconomic status, pathogen burden and cardiovascular disease risk , 2006, Heart.

[11]  P. Allison,et al.  7. Fixed-Effects Negative Binomial Regression Models , 2002 .

[12]  K. Reddy,et al.  Cardiovascular disease in non-Western countries. , 2004, The New England journal of medicine.

[13]  M. Law,et al.  Why heart disease mortality is low in France: the time lag explanation. , 1999, BMJ.

[14]  G. Davey Smith,et al.  Non‐communicable diseases in low‐ and middle‐income countries: context, determinants and health policy , 2008, Tropical medicine & international health : TM & IH.

[15]  T. Lauritzen,et al.  Preventive health screenings and health consultations in primary care increase life expectancy without increasing costs , 2007, Scandinavian journal of public health.

[16]  M. Mckee,et al.  Prevention and management of chronic disease: a litmus test for health-systems strengthening in low-income and middle-income countries , 2010, The Lancet.

[17]  Rosângela Minardi Mitre Cotta,et al.  A promoção da saúde e a prevenção integrada dos fatores de risco para doenças cardiovasculares , 2012 .

[18]  C. Mathers,et al.  Projections of Global Mortality and Burden of Disease from 2002 to 2030 , 2006, PLoS medicine.

[19]  Laura B. Rawlings,et al.  Impact Evaluation in Practice: Second Edition , 2010 .

[20]  M. Barreto,et al.  Impact of the family health program on infant mortality in Brazilian municipalities. , 2009, American journal of public health.

[21]  P. Austin An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies , 2011, Multivariate behavioral research.

[22]  J. Eluf-Neto,et al.  The Brazilian Family Health Program and secondary stroke and myocardial infarction prevention: a 6-year cohort study. , 2012, American journal of public health.

[23]  Vikram Patel,et al.  Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care , 2008, The Lancet.

[24]  M. Graffar [Modern epidemiology]. , 1971, Bruxelles medical.

[25]  Ling Xu,et al.  An impact evaluation of the Safe Motherhood Program in China. , 2010, Health economics.

[26]  C. Szwarcwald,et al.  [Socio-spatial inequalities in the adequacy of Ministry of Health data on births and deaths at the municipal level in Brazil, 2000-2002]. , 2007, Cadernos de saude publica.

[27]  A. Nichols Erratum and Discussion of Propensity-Score Reweighting , 2008 .

[28]  M. Petticrew,et al.  Using natural experiments to evaluate population health interventions: new Medical Research Council guidance , 2012, Journal of Epidemiology & Community Health.

[29]  J. Macinko,et al.  [Ambulatory care sensitive hospitalizations: elaboration of Brazilian list as a tool for measuring health system performance (Project ICSAP--Brazil)]. , 2009, Cadernos de saude publica.

[30]  Ignez Helena Oliva Perpétuo,et al.  Desigualdade social e mortalidade precoce por doenças cardiovasculares no Brasil , 2006 .

[31]  D. Rasella,et al.  Reducing Childhood Mortality From Diarrhea and Lower Respiratory Tract Infections in Brazil , 2010, Pediatrics.

[32]  C. Szwarcwald,et al.  Desigualdades sócio-espaciais da adequação das informações de nascimentos e óbitos do Ministério da Saúde, Brasil, 2000-2002 , 2007 .

[33]  J. Macinko,et al.  Major expansion of primary care in Brazil linked to decline in unnecessary hospitalization. , 2010, Health affairs.

[34]  S. Fortmann,et al.  Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. , 1992, American journal of public health.

[35]  G. E. Who,et al.  Preventing chronic diseases: a vital investment , 2005 .

[36]  Anthony S. Kim,et al.  Global Variation in the Relative Burden of Stroke and Ischemic Heart Disease , 2011, Circulation.

[37]  P. Ordunez,et al.  Cardiovascular disease mortality in the Americas: current trends and disparities , 2012, Heart.

[38]  Paulo Guimaraes,et al.  The fixed effects negative binomial model revisited , 2008 .

[39]  J. Wakefield Ecologic studies revisited. , 2008, Annual review of public health.

[40]  G. Franco,et al.  [Socioeconomic inequalities and premature mortality due to cardiovascular diseases in Brazil]. , 2006, Revista de saude publica.

[41]  Mauricio L Barreto,et al.  Effect of a conditional cash transfer programme on childhood mortality: a nationwide analysis of Brazilian municipalities , 2013, The Lancet.

[42]  J. Hilbe Negative Binomial Regression: Preface , 2007 .

[43]  K. Khunti,et al.  Association of features of primary health care with coronary heart disease mortality. , 2010, JAMA.

[44]  S. Khandker,et al.  Handbook on Impact Evaluation: Quantitative Methods and Practices , 2009 .

[45]  Martin O'Flaherty,et al.  Rapid mortality falls after risk-factor changes in populations , 2011, The Lancet.

[46]  J. Macinko,et al.  Chronic Diseases, Primary Care and Health Systems Performance: Diagnostics, Tools and Interventions , 2011 .

[47]  T. Gaziano Reducing the growing burden of cardiovascular disease in the developing world. , 2007, Health affairs.

[48]  R. M. Cotta,et al.  [The promotion of health and integrated prevention of risk factors for cardiovascular diseases]. , 2012, Ciencia & saude coletiva.

[49]  D. Levy,et al.  The Brazil SimSmoke Policy Simulation Model: The Effect of Strong Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths in a Middle Income Nation , 2012, PLoS medicine.

[50]  Shaohua Chen,et al.  Are There Lasting Impacts of Aid to Poor Areas? Evidence from Rural China , 2006 .

[51]  D. Rasella,et al.  Impact of the Family Health Program on the quality of vital information and reduction of child unattended deaths in Brazil: an ecological longitudinal study , 2010, BMC public health.