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      Estratégia Saúde da Família, um forte modelo de Atenção Primária à Saúde que traz resultados Translated title: The Family Health Strategy, a strong model of Primary Health Care that delivers results

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          Abstract

          RESUMO Este artigo revisa e sintetiza evidências sobre o impacto da Estratégia Saúde da Família (ESF) a partir do marco conceitual de sistemas de saúde da Organização Mundial da Saúde, o qual agrega os conceitos de acesso, proteção financeira, qualidade dos serviços, eficiência no sistema, impacto na saúde e equidade. Os resultados sugerem que a ESF contribuiu para a melhoria em todos esses indicadores, com alguns efeitos no acesso e equidade com resultados quase chegando aos níveis observados nos países da Organização para Cooperação e Desenvolvimento Econômico. Embora ainda haja bastante espaço para melhorias, a evidência é clara de que a ESF é uma abordagem poderosa e eficaz para a organização da atenção primária à saúde no Brasil.

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          ABSTRACT This article uses the health systems framework of the World Health Organization to review and synthesize evidence on the impact of the Family Health Strategy (FHS) within the concepts of access, financial protection, quality of services, system efficiency, health impact, and equity. The results suggest that the FHS contributed to the improvement in all those indicators, with effects on access and equity nearly at the level observed in the countries of the Organization for Economic Cooperation and Development. Although there is still great room for improvement, the evidence is clear that the FHS is a powerful and effective approach to the organization of primary health care in Brazil.

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          The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.

          When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to micro-1 and 1-micro, respectively, where micro is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries. Copyright (c) 2004 John Wiley & Sons, Ltd.
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            The Effect of Health on Economic Growth: A Production Function Approach

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              Cancer Screening Test Use — United States, 2015

              Healthy People 2020 (HP2020) includes objectives to increase screening for breast, cervical, and colorectal cancer ( 1 ) as recommended by the U.S. Preventive Services Task Force (USPSTF).* Progress toward meeting these objectives is monitored by measuring cancer screening test use against national targets using data from the National Health Interview Survey (NHIS) ( 1 ). Analysis of 2015 NHIS data indicated that screening test use remains substantially below HP2020 targets for selected cancer screening tests. Although colorectal cancer screening test use increased from 2000 to 2015, no improvements in test use were observed for breast and cervical cancer screening. Disparities exist in screening test use by race/ethnicity, socioeconomic status, and health care access indicators. Increased measures to implement evidence-based interventions and conduct targeted outreach are needed if the HP2020 targets for cancer screening are to be achieved and the disparities in screening test use are to be reduced. NHIS is a cross-sectional household interview survey that yields data on a nationally representative sample of the civilian, noninstitutionalized population residing in the United States ( 2 ). Information is collected about the household, each person in the family residing in that household, and a randomly selected sample adult (aged ≥18 years) and child (if present) from each family. This analysis includes data from the cancer control supplement, sample adult questionnaire, person files, and imputed income files. For each cancer screening test, adults were asked whether they had ever received the test. Those who answered that they had received a cancer screening test were then asked when the most recent screening test occurred ( 2 ). For this analysis, any report of testing for cancer was considered a screening test for the purpose of estimating proportions of the population up to date with breast, cervical, and colorectal cancer screening consistent with USPSTF recommendations as of 2015 (i.e., mammography within 2 years for women aged 50–74 years; Papanicolaou [Pap] test within 3 years for women without a hysterectomy aged 21–65 or Pap test with human papillomavirus test [HPV] within 5 years for women without a hysterectomy aged 30–65 years; fecal occult blood test within 1 year, sigmoidoscopy within 5 years and fecal occult blood test within 3 years, or colonoscopy within 10 years for respondents aged 50–75 years). Crude percentages, along with corresponding 95% confidence intervals, were presented by sociodemographic and health care–access characteristics, such as source of usual care. Overall percentages were age-adjusted, with age standardized to the 2000 U.S. standard population. Because the covariate associations for colorectal cancer screening use were similar by sex, results are reported for men and women combined. Statistical testing for differences in screening test use by sociodemographic and health care–access characteristics was performed using Wald F tests. For each screening exam, screening trends over time were examined using NHIS data from 2000, 2003, 2005, 2008, 2010, 2013, and 2015. To account for changes in cervical cancer screening recommendations over time, only trends for Pap test within 3 years for women aged 21–65 years without hysterectomy were assessed. The Wald F test was used to determine whether differences in screening across the years occurred. All statistics presented are based on data weighted to account for the complex survey design of NHIS. The final sample adult response rate was 55.2% ( 2 ). Mammography use remained stable from 2000 to 2015 (Figure). In 2015, 71.5% of women aged 50–74 years reported having had a mammogram within the past 2 years, which is less than the HP2020 target of 81.1% (Figure) (Table 1). Compared with other racial/ethnic groups, mammography use was lowest among American Indians/Alaska Natives (AI/AN) (56.7%). Filipino women were the only group that met the HP2020 target. Use was lower among women who were foreign-born and in the United States for 400 2,542 (78.8) 76.6–80.9 3,481 (89.7) 88.2–90.9 Usual source of health care None or hospital emergency department 393 (32.9) 26.9–39.6 p 30%. From 2000 to 2015, the overall trend for cervical cancer screening (Pap test) use declined (Figure). In 2015, 83% of women reported being up to date with cervical cancer screening, which is below the HP2020 target of 93.0% (Figure) (Table 1). Cervical cancer screening use was lowest among Asian women (75.8%), especially Chinese (72.0%) and other Asian women (71.6%). Hispanics (78.6%) reported lower screening than did non-Hispanics (83.7%). Compared with all other age groups, women aged 21–30 years reported the lowest cervical cancer screening test use (78.3%). Women who were foreign-born, regardless of their duration of U.S. residence, had lower screening test use than U.S.-born women. The proportion of women reporting cervical cancer screening use increased with education and income levels. Cervical cancer screening use was lower among women without a usual source of health care (65.1%) than among women who had a usual source of care (85.5%). Compared with women who had insurance coverage, cervical cancer screening test use was lowest (63.8%) among uninsured women (Table 1). From 2000 to 2015, colorectal cancer test use increased, but did not reach the HP2020 target of 70.5% (Figure). During 2015, 62.4% of men and women reported colorectal cancer screening test use consistent with USPSTF recommendations. By racial group, colorectal cancer screening use was lowest among AI/ANs (48.4%) (Table 2). By ethnicity, Hispanics reported lower screening test use (47.4%) than did non-Hispanics (64.2%). Reported screening was lower among persons aged 50–64 years (57.9%) than among persons aged 65–75 years (71.8%). Foreign-born persons reported lower use of colorectal cancer screening (52.3% [U.S. residence ≥10 years], 36.3% [U.S. residence 400 5,060 (70.0) 68.2–71.8 Usual source of health care¶ None or hospital emergency department 997 (26.3) 22.5–30.4 Has usual source 11,651 (65.2) 63.8–66.6 Health care coverage¶ Private 7,628 (65.6) 63.9–67.2 Military 702 (77.6) 72.8–81.7 Public only 3,494 (60.1) 57.9–62.2 Uninsured 790 (25.1) 20.9–29.9 Abbreviations: CI = confidence interval; GED = General Educational Development certificate. * Includes fecal occult blood test within 1 year, sigmoidoscopy within 5 years and fecal occult blood test within 3 years, or colonoscopy within 10 years for persons aged 50–75 years. † Weighted percentages. Overall percentages presented as crude and age–adjusted estimates; other percentages are crude estimates. § Age-standardized to the 2000 U.S. standard population. ¶ p<0.001. ** p-value testing for differences across four primary race groups. †† p-value testing for differences between Hispanic and non-Hispanics. §§ p = 0.038. Discussion Cancer screening in the United States remains below HP2020 targets. A previous study of cancer screening using data from the 2013 NHIS found that overall use of screening tests was below HP2020 targets, with no improvements from 2010 to 2013 for breast, cervical, or colorectal cancer ( 3 ). Based on these more recent data, the overall trend from 2000 to 2015 demonstrates that colorectal cancer screening increased, breast cancer screening was stable, and cervical cancer screening declined slightly. Few subgroups met HP2020 targets in 2015, with many groups remaining far below targets, and disparities in use of cancer screening tests exist based on race, ethnicity, income, and education. The progress in increasing use of colorectal cancer screening is promising, but more needs to be done if the HP2020 target is to be achieved. The lack of progress for breast and cervical cancer screening use highlights the need for more initiatives to reach persons facing barriers to screening. Persons without a usual source of health care and the uninsured had the lowest test use, with the overwhelming majority of the uninsured not up to date with breast and colorectal cancer screening. The Affordable Care Act has helped to reduce such barriers by expanding insurance coverage and eliminating cost sharing, in most insurance plans, for preventive services such as breast, cervical, and colorectal cancer screening rated A and B by the USPSTF. † Further, CDC’s Colorectal Cancer Control Program helps states and tribes increase colorectal cancer screening use by reducing some barriers and promoting the use of evidence-based interventions to increase screening ( 4 ). The National Breast and Cervical Cancer Early Detection Program § provides free or low-cost screening to medically underserved women. Mammography use among AI/AN declined from 73.4% in 2013 ( 3 ) to 56.7% 2015. From 1990 to 2009, breast cancer death rates declined for white women, but increased slightly among AI/AN women ( 5 ). Reasons for this decline are unclear and warrant further investigation. However, data from this analysis indicate that factors associated with lower mammography use include poverty and lack of insurance coverage or a usual source of health care. In addition, because of the small sample size and unstable estimates for AI/AN women, error cannot be ruled out as a potential explanation for this pattern. Lower mammography use might lead to breast cancer diagnosis at later stages and contribute to racial disparities in mortality. The National Breast and Cervical Cancer Early Detection Program supports 11 AI/AN tribes and tribal organizations to increase screening use in these communities ( 4 , 6 ). The findings in this report are subject to at least five limitations. First, the screening questions did not distinguish whether the test was performed for screening or diagnostic purposes; however, a person might be considered effectively screened in either instance. Second, data were self-reported and were not verified by medical records. Third, the overall response rate was 55.2%, and nonresponse bias is possible, despite adjustments for nonresponse. Fourth, sample sizes were small and not age-adjusted for some subgroups. Comparisons of subgroup rates to national targets should be interpreted with caution because targets were based on improvement from the 2008 baseline values for the national age-adjusted rate. In addition, consideration should be given to the fact that targets were designed to be met by 2020, not 2015. Finally, screening recommendations and questions have changed over time. In 2012, screening every 5 years with Pap and HPV tests was added as an option for women aged 30–65 years. It is unclear whether this change might have extended screening intervals for women and thus contributed to the slight decline in cervical cancer screening. Attempts were made to account methodologically for changes in recommendations and questions by using consistent definitions across years. Because hysterectomy status was unknown for 2003, Pap test data for that year were excluded Screening measures for the trend analysis were defined according to the 2000 method, which makes assumptions for cases with only partial timing data (i.e. respondent did not provide enough timing detail to determine if the test came within the recommended time interval). This source of bias results in slightly higher estimates but allows for fair comparisons over time. Accordingly, percentages for 2015 in the trend analysis differ slightly from those reported in the tables. These findings might inform future activities to increase the use of screening tests as recommended. Some progress has been achieved toward meeting the HP2020 objective for colorectal cancer screening, but the trend for mammography use has remained static, and cervical cancer screening is declining. Substantial disparities persist for some subgroups, including persons without health insurance or a usual source of health care. The National Breast and Cervical Cancer Early Detection Program can provide access to timely breast and cervical cancer screening and diagnostic services for low-income, uninsured, and medically underserved women. For persons with access to health care, evidence-based interventions, such as provider and patient reminders about screening, can increase cancer screening rates ( 7 ). Innovative approaches are needed to reach some racial and ethnic minorities and medically underserved populations to improve the use of cancer screening test use toward the HP2020 targets. Summary What is already known about this topic? Screening can lead to early detection of breast, cervical and colorectal cancer, when cancers might respond better to treatment, thereby reducing deaths. Healthy People 2020 (HP2020) set targets for screening based on recommendations from the U.S. Preventive Services Task Force. Screening disparities exist for some groups defined by sociodemographics and access to health care. What is added by this report? Since 2013, some progress toward meeting the HP2020 objective for colorectal cancer screening has occurred, but the trend for breast cancer screening has been static, and cervical cancer screening is declining. Disparities in screening persisted by race, ethnicity, education, and income. The uninsured and persons without a usual source of care had screening use far below the HP2020 targets. What are the implications for public health practice? Progress toward achieving the HP2020 targets will require implementation of evidence-based interventions to increase cancer screening. Such interventions can be both provider- and patient-oriented. Screening among some racial and ethnic minorities and medically underserved populations is suboptimal and innovative approaches to eliminate these disparities might be needed.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                sdeb
                Saúde em Debate
                Saúde debate
                Centro Brasileiro de Estudos de Saúde (Rio de Janeiro, RJ, Brazil )
                0103-1104
                2358-2898
                September 2018
                : 42
                : spe1
                : 18-37
                Affiliations
                [1] Los Angeles LA orgnameUniversidade da Califórnia EUA jmacinko@ 123456ucla.edu
                [2] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul Brazil claunara@ 123456ghc.com.br
                Article
                S0103-11042018000400018
                10.1590/0103-11042018s102
                76c1a9e0-71cd-4115-bf8c-a10eccdcbbf4

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 23 August 2018
                : 26 August 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 75, Pages: 20
                Product

                SciELO Public Health

                Categories
                Artigo Original

                Family Health Strategy,Atenção Primária à Saúde,Estratégia Saúde da Família,Sistema Único de Saúde,Primary Health Care,Unified Health System

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