SUPPLEMENT ARTICLE |
a College of Nursing, Florida State University, Tallahassee, Florida
b Florida Department of Health, Family Health Services Division, Tallahassee, Florida
| ABSTRACT |
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METHODS. Florida data (N = 2116) from the 2003 National Survey of Children's Health were analyzed by using bivariate and multivariate methods. The dependent, or outcome, variable was a personal health care provider, defined in the National Survey of Children's Health as a personal doctor or nurse.
RESULTS. In Florida, 20.1% of children (017 years of age) do not have a personal health care provider compared with 16.7% in the United States. Children at greatest risk are those without health insurance. Other significant risk factors include family poverty up to 100% of federal poverty level, poverty level 100% to 199%, poverty level unknown, poverty level 200% to 399%, children aged 5 to 12 years, children aged 13 to 17 years, and Hispanic ethnicity. All the factors in the Florida model were also significant in the national model.
CONCLUSIONS. Lack of a personal health care provider is driven by larger community issues of health insurance, socioeconomic status, and ethnicity, including race, on a national level. To achieve the goal of a personal health care provider for children, a multifaceted approach needs to be considered. Knowing which children are without a personal health care provider provides valuable information for state policy-makers, program planners, and evaluators.
Key Words: children primary health care
Abbreviations: AAPAmerican Academy of Pediatrics NSCHNational Survey of Children's Health ORodds ratio CIconfidence interval
National professional organizations, including the American Academy of Pediatrics (AAP) and the National Association of Pediatric Nurse Practitioners, have established position statements to promote the attainment of quality primary care for all children and adolescents through a personal doctor or nurse, or through a personal health care provider.1,2 A personal health care provider can consistently assess, diagnose, and monitor a child's health.3,4 The provider can ensure continuity of care, offer a substantially higher level of comprehensive care compared with children without a personal doctor or nurse, and advance culturally effective care.5,6 A personal doctor or nurse who knows the child can refer her/him for both basic preventive services, such as oral health care, and specialty services if needed, such as speech and language evaluations, and monitor the outcome of referrals.
It is more efficient for children and adolescents to receive care from a personal doctor or nurse because the provider knows the child and can quickly ascertain changes in status and initiate treatment to prevent complications. The establishment of a personal doctor or nurse may decrease inappropriate use of the emergency department, further promoting effective use of health care dollars.7
A personal health care provider is one of the characteristics of a medical home as defined in a 2004 AAP policy statement.1 Healthy People 2010 data suggests that 93% of children and youth 17 years of age and younger currently have a specific source of ongoing care, with the goal to increase the percentage to 97% by the year 2010.8
It was recently reported that 43.0% of Florida children have a medical home compared with 46.1% of US children aged 0 through 17 years of age, and that 83.3% of these children have a personal doctor or nurse compared with 79.9% of Florida children.9
Although others have examined factors associated with a medical home and components of a medical home, especially in relation to children with special health care needs,3,4 none have investigated the issue in the context of the theoretical framework of Aday and Andersen's Access to Medical Care model.10 The Aday and Andersen Access to Medical Care Model emphasizes that health policy can affect 2 inputs: characteristics of the health care delivery system and the populations at risk. These 2 inputs can change the 2 outputs of the model, the use of health care services and consumer satisfaction with the services.10 Investigating characteristics of the population at risk may lead to effective health policies that will improve use of health services. Through the National Survey of Children's Health (NSCH), we were able to study Florida children at risk of not having a personal health care provider.
| METHODS |
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The dependent variable for the study was based on the question: A personal doctor or nurse is a health care professional who knows your child well and is familiar with your child's health history. This can be a general doctor, a pediatrician, a specialist doctor, a nurse practitioner, or a physician assistant. Do you have 1 or more persons you think of as [your child's] personal doctor or nurse? The 4 possible answers to this question were: "yes," "no," "dont know," and "refused." The latter 2 responses were treated as missing values (n = 7).
The independent variables for the study were selected based on the 3 components of a population at risk in the Access to Medical Care model: predisposing, enabling, and need. The predisposing component includes variables that describe properties that exist before the onset of an illness; the enabling component describes the means and resources individuals and families have available to facilitate the use of services; and the need component refers to illness level.10 Additional variables were selected from the survey that reflected contemporary issues, such as whether the parents and/or child were born in the United States, primary language, and whether an interpreter is needed when accessing health care.
Initially, a total of 22 independent variables were selected. However, concerns about possible multicolinearity between child born in the United States, father born in the United States, mother born in the United States, primary language not English, and need for an interpreter when accessing health care services resulted in not including the above noted variables in the analysis. The results of the correlations analysis justified using Hispanic ethnicity because relatively high correlation was noted with the following 4 variables for both the US and Florida data sets: Hispanic, mother not born in the United States, father not born in the United States, and primary language not English.
Predisposing Factors
The following were predisposing factors:
Need Factors
The following were need factors:
Enabling Factors
The following were enabling factors:
400%); and
Statistical Analysis
SUDAAN software12 was used for the regression analysis to account for the complex sampling survey design. SAS software13 was also used to perform correlation functions not available in SUDAAN. Scaled or normalized weights were used for SAS functions such that the sum of the scaled weights was equal to the unweighted sample size, but the scaled weights were proportional to the complex sample weights.
Regression analysis was used to assess the independent association of the selected variables of the Access to Medical Care model with the dependent variable. The independent variables were examined by using logistic regression to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Multicolinearity among all of the variables was assessed by using Pearson's correlation coefficient with scaled weights.
| RESULTS |
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2 analysis (P = .0008). Table 1 presents weighted frequencies of Florida data for the dependent and independent variables in the model.
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Among all possible pairs of the independent variables, Pearson's correlation coefficients (r) >0.30 were found for only 3 pairs of variables for Florida data: (a) less than a high school education and federal poverty levels <100% (0.32), (b) more than a high school education and federal poverty level <100% (0.33), and (c) more than a high school education and federal poverty levels >400% (0.34). Multicolinearity was noted among an additional pair of US variables: less than a high school education and Hispanic ethnicity (0.36). We decided that the analytical value of these variables warranted including them in the model, although the correlations may result in larger CIs for the affected ORs.
| DISCUSSION |
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The findings support previous studies that a child's health status is not the only predictor of access to consistent health care and emphasize the need to implement a multifaceted approach to ensure access for all children.4,1416 Although the Florida findings did not note significance with children who experienced gaps in health care coverage in the past 12 months, significance was noted in the US analysis. Previous studies have noted that gaps in health insurance coverage are as important a consideration as lack of health insurance.17,18 Studies have also documented the vulnerability experienced by children living in poverty, Hispanic children, and black children in accessing health care.19 The needs of adolescents for established medical care have been documented in the literature.20
Limitations of the study include the respondents correct understanding of the question pertaining to personal health care provider and questions about health conditions. Health conditions reported by parents or guardians were not confirmed through review of medical documentation. Hispanic ethnicity did not take into account cultural variations among groups who would identify as Hispanic.
A personal health care provider is an important component of the concept medical home. The Aday and Andersen Access to Medical Care model provides a conceptual framework to study access to a personal health care provider through examining one of the inputs in the model, characteristics of the population at risk, through predisposing, enabling, and need factors.
Analyzing characteristics of the at-risk population (ie, Florida children without a personal health care provider) can lead to effective health policy and, ideally, evidence-based interventions. For example, the model proposes that health policy influences the use of services by a risk population. Availability of health insurance is one such policy. Expanding child health insurance coverage through adding the State Children's Health Insurance Program has been shown to increase the percentage of children with a usual source of care.21 Such expansion reduces the hospitalization rate of children for ambulatory care sensitive conditions because of improved access to primary care.22 Important health policy considerations for Florida include addressing the need for full health insurance coverage for all children and maintaining uninterrupted health insurance coverage, especially as Florida explores Medicaid and State Children's Health Insurance Program reforms.
Policy recommendations could be directed toward children of Hispanic ethnicity or children living in poverty to ensure that vulnerable groups have a personal health care provider. These populations are at moderate-to-high risk for not having a personal provider, even after adjusting for each other, race, household education, number of parents, and health insurance. Access to health care for Hispanic/Latino children in the United States reportedly varies by country or region of origin and by generation resulting from immigration.23,24 Other access barriers suggested beyond the ones identified in this study include those related to the family: parental health beliefs, health behaviors, source of health advice, language problems, and cultural differences; and those related to the provider: language services, provider practices and behaviors, cultural competency, impaired quality of care, excessive waiting times, and proportionately fewer Hispanic health professionals.25,26 These issues suggest potential actions by both policymakers and providers in Florida. Another limitation of this study was that health insurance and income were the few enabling study variables available. Enabling factors are perceived to be more mutable and able to improve access.27 Future studies can address additional components of the Aday and Andersen model, such as the overall ability to access needed health care services and satisfaction with services received.
Another group in Florida at high risk for not having a personal provider is adolescents. Before the onset of sexual activity, teens generally need and use fewer preventive health services than young children. In other communities, not having a personal provider frequently relates to the variety of providers that teens can use and the potential use of different providers for different needs.28 Care for medically emancipated conditions and confidential services for adolescents are limited among primary care practices and significant disagreement between office staff and physicians over policies have been shown.29 Adolescents frequently do not receive needed care because of hiding issues from parents, potential costs, and time constraints.30 Health care alternatives are needed for Florida adolescents to ensure access to health care.
The Access to Medical Care Model can also identify strengths in current health policy. The findings that Florida children with a moderate or severe chronic condition and children with a special health care need did not significantly lack a personal health care provider could be viewed as an asset, because the results suggest current health policy and programs are ensuring that children with greater health care needs have access to a personal health care provider.
| CONCLUSIONS |
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| FOOTNOTES |
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Address correspondence to Mary Beth Zeni, ScD, Florida State University, College of Nursing, 413 Duxbury Hall, Tallahassee, FL 32306. E-mail: mzeni{at}nursing.fsu.edu
The authors have indicated they have no financial interests relevant to this article to disclose.
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