# Geographic, Racial/Ethnic, and Sociodemographic Disparities in Parent-Reported Receipt of Family-Centered Care among US Children

Authors: Romuladus E. Azuine; Gopal K. Singh; Reem M. Ghandour; Michael D. Kogan
Journal: International Journal of Family Medicine
 (2015)

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## Abstract

This study examined geographic, racial/ethnic, and sociodemographic disparities in parental reporting of receipt of family-centered care (FCC) and its components among US children aged 0–17 years. We used the 2011-2012 National Survey of Children’s Health to estimate the prevalence and odds of not receiving FCC by covariates. Based on parent report, 33.4% of US children did not receive FCC. Children in Arizona, Mississippi, Nevada, California, New Jersey, Virginia, Florida, and New York had at least 1.51 times higher adjusted odds of not receiving FCC than children in Vermont. Non-Hispanic Black and Hispanic children had 2.11 and 1.58 times higher odds, respectively, of not receiving FCC than non-Hispanic White children. Children from non-English-speaking households had 2.23 and 2.35 times higher adjusted odds of not receiving FCC overall and their doctors not spending enough time in their care than children from English-speaking households, respectively. Children from low-education and low-income households had a higher likelihood of not receiving FCC. The clustering of children who did not receive FCC and its components in several Southern and Western US states, as well as children from poor, uninsured, and publicly insured and of minority background, is a cause for concern in the face of federal policies to reduce health care disparities.


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## Body

## 1. Introduction

Family-centered care (FCC) is a collaborative approach to health care where family perspective is central to health care decision-making and represents a core aspect of a system of health care that focuses on the needs of all children in the United States [1]. Health care delivery that is family-centered can improve both the quality of health care services received by children and their families and patient/family satisfaction with those services [1, 2]. FCC is also an important aspect of the quality of a medical home which is defined as a model of primary care that is accessible, continuous, comprehensive, family-centered, coordinated, compassionate, and culturally effective [3].For nearly five decades since it was first espoused, FCC, as a component of the medical home, has been advanced as an important part of quality care delivery by leading health professional associations, family advocates, and public health policy organizations, including the American Academy of Pediatrics, American Academy of Family Physicians, American College of Physicians, and the American Osteopathic Association, the Institute of Medicine, and the federal Maternal and Child Health Bureau (MCHB) at the Health Resources and Services Administration (HRSA) [4–6]. In fact, Healthy People 2020 identifies the ability to find a health care provider with whom the patient can communicate and trust as one of the public policy linchpins for improving access to comprehensive, quality health care services [7]. FCC has been shown to reduce cost for individuals, families, employers, and government and support evidence-based interventions that address multifaceted aspects of socioeconomic and neighborhood determinants of health [8, 9]. The Institute of Medicine identifies family-patient-centered care as one of the six characteristics of quality care that the US health care system should strive to deliver to all patients [6]. In addition, family-patient-centered care is an essential feature of primary care whose mission is to provide entry into the health service system, provide person-focused care over time, provide care for all but very uncommon or unusual conditions, and coordinate or integrate care provided elsewhere or by others [10].Although FCC has been acknowledged by health care professionals and policy makers as a marker of quality health care delivery and integral to improved health care delivery, in-depth population-based and national studies examining the different components of FCC are lacking. Existing studies have explored FCC among select groups of children, including children with specific medical/health conditions, children with special health care needs, children from predominantly English-speaking families, children from high income families, or those from specific regions of the country [8, 11–13]. Little is known about geographic, racial/ethnic, and socioeconomic disparities in the receipt of FCC among all children in the United States (US). Furthermore, while public policy discussions on integrating family opinions and perspectives into the health care of children in the US have focused on increasing the number of children with access to a medical home and selected components, such as care coordination, less attention has been paid to the experience of families with health care providers within the context of the medical home [14]. Given the benefits of FCC for children and their families, an understanding of the determinants of access to FCC for parents and children at the national-level is important in addressing disparities in family experiences within the medical home. In addition, understanding geographic and sociodemographic disparities in access to FCC can provide pertinent information to program planners and policy makers in the design and targeting of interventions and services to serve children and families [15]. The purposes of this study were twofold: (1) to estimate the prevalence of parent/family-reported receipt of FCC among children in various socioeconomic and demographic groups and across the 50 states in United States (US) and the District of Columbia (DC) and (2) to identify sociodemographic groups and states with lower receipt of FCC among US children.


## 2. Methods

### 2.1. Data Source

Data for this study were from the 2011-2012 National Survey of Children’s Health (NSCH). With funding and direction from HRSA/MCHB, the NSCH is a nationally representative survey designed to assess the physical and emotional health of 95,677 children aged 0–17 years, as well as factors that may relate to child well-being, including medical homes, family interactions, parental health, school and after-school experiences, and neighborhood characteristics [16]. The 2011-2012 NSCH is a cross-sectional telephone survey of US households with at least one resident child aged under 18 at the time of the interview. The survey used a list-assisted random-digit-dial (RDD) sample of landline telephone numbers, supplemented with an independent RDD sample of cell-phone numbers. Using a complex survey design, with stratification by state and sample type (landline or cell-phone), telephone numbers were called and screened for residential status and the presence in the household of children who were aged 0–17 years at the time of the call. One child was randomly selected to be the subject of the detailed interview if more than one child lived in the household. In households with one child, that child was selected to be the subject of the detailed interview. One parent or guardian with knowledge of the health and health care of the sampled child in the household completed the survey. The survey was conducted in all the 50 states and DC between February 2011 and June 2012 using the State and Local Area Integrated Telephone Survey mechanism [16]. All survey data were based on parental reports. Interviews were conducted in English, Spanish, and four Asian languages. The interview completion rate for the 2011-2012 NSCH, a measure of the response rate indicating the percentage of completed interviews among known households with a child under 18, was 54.1% for the landline sample and 41.2% for the cell-phone sample [16]. Detailed information about the NSCH can be found elsewhere [16]. The NCHS Research Ethics Review Board approved all data collection procedures for the survey.


### 2.2. Study Variables

The dependent variable in our study was the receipt of FCC and its five components. Children receiving FCC and its components were defined as children whose parents/guardians responded positively to the survey questions inquiring on whether their child’s doctor or health care provider usually or always (1) listened carefully; (2) were sensitive to the family’s values and customs; (3) made the family feel like a partner in the child’s care; (4) provided needed information; and (5) spent enough time with the family. One of our primary independent variables was state of residence. Other key independent variables included race/ethnicity, household language use, and household education and income levels. In all, the following socioeconomic, demographic, and health services variables were considered as covariates: child’s age (0–5, 6–11, 12–17 years); child’s sex; race/ethnicity (Hispanic, Non-Hispanic White, Non-Hispanic Black, mixed race, and other); household composition (two-parent biological household, two-parent stepfamily, single mother, or other); child health status (child with special health care needs or nonspecial health care needs); state of residence (50 US States and DC); place of residence (metropolitan or nonmetropolitan); primary language spoken at home (English or any other language); highest parental education in years of school completed (<12, 12, 13–15, and 16+); household poverty status measured as a ratio of family income to the federal poverty level (FPL) (<100%, 100–199%, 200–399%, and ≥400%) [17]; and type of health insurance (private, public, both public and private, and uninsured).


### 2.3. Statistical Analysis

We modeled the odds of not receiving FCC and its components for 91,001 children as a function of the geographic and sociodemographic covariates described above. Children with missing data on FCC were excluded from all analyses [16]. Prevalence (%) estimates of FCC were computed for all covariates and for children in all 50 states and DC. The χ2 statistic was used to test the overall association between each covariate and FCC receipt. Multivariate logistic regression was used to examine the adjusted association between covariates and the binary outcome variables of overall FCC receipt and its five components. To account for the complex sample design of the survey, SUDAAN software [18] was used to conduct multivariate logistic analyses and to determine prevalence estimates and their standard errors.


## 2.1. Data Source

Data for this study were from the 2011-2012 National Survey of Children’s Health (NSCH). With funding and direction from HRSA/MCHB, the NSCH is a nationally representative survey designed to assess the physical and emotional health of 95,677 children aged 0–17 years, as well as factors that may relate to child well-being, including medical homes, family interactions, parental health, school and after-school experiences, and neighborhood characteristics [16]. The 2011-2012 NSCH is a cross-sectional telephone survey of US households with at least one resident child aged under 18 at the time of the interview. The survey used a list-assisted random-digit-dial (RDD) sample of landline telephone numbers, supplemented with an independent RDD sample of cell-phone numbers. Using a complex survey design, with stratification by state and sample type (landline or cell-phone), telephone numbers were called and screened for residential status and the presence in the household of children who were aged 0–17 years at the time of the call. One child was randomly selected to be the subject of the detailed interview if more than one child lived in the household. In households with one child, that child was selected to be the subject of the detailed interview. One parent or guardian with knowledge of the health and health care of the sampled child in the household completed the survey. The survey was conducted in all the 50 states and DC between February 2011 and June 2012 using the State and Local Area Integrated Telephone Survey mechanism [16]. All survey data were based on parental reports. Interviews were conducted in English, Spanish, and four Asian languages. The interview completion rate for the 2011-2012 NSCH, a measure of the response rate indicating the percentage of completed interviews among known households with a child under 18, was 54.1% for the landline sample and 41.2% for the cell-phone sample [16]. Detailed information about the NSCH can be found elsewhere [16]. The NCHS Research Ethics Review Board approved all data collection procedures for the survey.


## 2.2. Study Variables

The dependent variable in our study was the receipt of FCC and its five components. Children receiving FCC and its components were defined as children whose parents/guardians responded positively to the survey questions inquiring on whether their child’s doctor or health care provider usually or always (1) listened carefully; (2) were sensitive to the family’s values and customs; (3) made the family feel like a partner in the child’s care; (4) provided needed information; and (5) spent enough time with the family. One of our primary independent variables was state of residence. Other key independent variables included race/ethnicity, household language use, and household education and income levels. In all, the following socioeconomic, demographic, and health services variables were considered as covariates: child’s age (0–5, 6–11, 12–17 years); child’s sex; race/ethnicity (Hispanic, Non-Hispanic White, Non-Hispanic Black, mixed race, and other); household composition (two-parent biological household, two-parent stepfamily, single mother, or other); child health status (child with special health care needs or nonspecial health care needs); state of residence (50 US States and DC); place of residence (metropolitan or nonmetropolitan); primary language spoken at home (English or any other language); highest parental education in years of school completed (<12, 12, 13–15, and 16+); household poverty status measured as a ratio of family income to the federal poverty level (FPL) (<100%, 100–199%, 200–399%, and ≥400%) [17]; and type of health insurance (private, public, both public and private, and uninsured).


## 2.3. Statistical Analysis

We modeled the odds of not receiving FCC and its components for 91,001 children as a function of the geographic and sociodemographic covariates described above. Children with missing data on FCC were excluded from all analyses [16]. Prevalence (%) estimates of FCC were computed for all covariates and for children in all 50 states and DC. The χ2 statistic was used to test the overall association between each covariate and FCC receipt. Multivariate logistic regression was used to examine the adjusted association between covariates and the binary outcome variables of overall FCC receipt and its five components. To account for the complex sample design of the survey, SUDAAN software [18] was used to conduct multivariate logistic analyses and to determine prevalence estimates and their standard errors.


## 3. Results

Table1 presents the observed prevalence of not receiving FCC and its five components, according to parental report. Nationally, 33.4% of children did not receive FCC. In all, health care providers did not spend enough time with 22.5% of children’s families; did not listen carefully to the concerns of 10.6% of families; were not sensitive to the values of 10.8% of families; did not provide information to 14.7% of families; and did not make 12.3% families feel like a partner. The maps in Figure 1 show relatively higher rates of not receiving FCC and its components in a number of Southern and Western states and lower rates in the Midwestern states. In particular, children in Arizona, California, Mississippi, New Mexico, New York, Nevada, and Texas had the lowest receipt of FCC and its components. The percentage of children who did not receive FCC ranged from a low of 19.4% in Vermont to a high of 41.0% in Arizona and 42.2% in California. The percentage of children whose health care provider did not spend enough time with them ranged from a low of 9.8% in Vermont to a high of 30% in California and 30.1% in Arizona. Parents reported that health care providers did not listen carefully to the concerns of 14.4%, 14.6%, and 16.5% of children in Mississippi, California, and Nevada, respectively; this percentage was the lowest in Vermont and Massachusetts (5.2%). The percentage of children whose families did not feel like partners in their care were the highest in Arizona (15.8%), Mississippi (15.9%), California (16.7%), and Nevada (17.3%) and the lowest in Vermont (6.9%) and Wisconsin (6.4%).Table 1
Observed (unadjusted) prevalence of not receiving family-centered care according to US state and selected sociodemographic characteristics: the 2011-2012 National Survey of Children's Health (N=91,001).
Covariate
⁢No family-centered care
⁢Not spending enough time
⁢Does not listen carefully
⁢Not sensitive to values
⁢Not providing information
⁢Not feeling like a partner
Weighted %
SE
Weighted %
SE
Weighted %
SE
Weighted %
SE
Weighted %
SE
Weighted %
SE
United States
33.41
0.37
22.51
0.34
10.62
0.25
10.84
0.27
14.74
0.29
12.27
0.27
State of residence
Alaska
31.99
1.68
21.21
1.48
10.17
1.11
11.08
1.19
15.44
1.33
12.61
1.22
Alabama
34.27
1.69
22.89
1.55
10.87
1.18
10.51
1.09
13.58
1.22
11.81
1.16
Arkansas
32.76
1.73
22.60
1.59
10.80
1.17
9.36
1.09
12.62
1.19
10.79
1.16
Arizona
40.98
1.76
30.11
1.70
13.60
1.27
13.38
1.27
19.28
1.45
15.81
1.32
California
42.23
1.81
29.90
1.68
14.63
1.27
15.95
1.37
21.23
1.50
16.70
1.35
Colorado
31.27
1.75
18.94
1.52
11.38
1.23
10.76
1.19
15.25
1.39
11.32
1.21
Connecticut
29.15
1.41
18.67
1.23
8.56
0.89
7.39
0.80
11.30
0.98
9.08
0.86
District of Columbia
36.92
2.07
23.31
1.82
9.49
1.25
11.84
1.40
14.51
1.51
11.65
1.40
Delaware
32.59
1.69
21.12
1.50
8.14
1.02
8.11
1.04
12.10
1.20
11.28
1.17
Florida
37.84
1.74
26.92
1.63
12.40
1.24
11.83
1.17
17.00
1.35
15.14
1.33
Georgia
34.85
1.69
23.75
1.54
11.08
1.16
10.94
1.13
13.08
1.17
13.63
1.23
Hawaii
32.52
1.50
21.38
1.31
9.13
0.94
10.15
0.99
15.74
1.17
11.16
1.00
Iowa
22.44
1.38
14.15
1.17
6.61
0.83
6.13
0.84
10.18
0.99
7.70
0.89
Idaho
28.92
1.72
19.21
1.54
7.13
0.92
6.87
0.92
13.62
1.28
10.27
1.12
Illinois
32.32
1.56
22.23
1.42
8.88
0.96
10.46
1.07
14.23
1.16
10.89
1.02
Indiana
28.98
1.61
18.23
1.39
8.61
1.05
8.04
1.00
13.55
1.24
9.56
1.10
Kansas
30.25
1.57
19.94
1.40
8.75
0.96
7.99
0.96
13.04
1.16
9.68
0.98
Kentucky
29.00
1.53
18.15
1.33
9.19
0.99
8.79
0.98
11.97
1.06
10.54
1.03
Louisiana
33.22
1.71
23.30
1.59
9.02
1.04
8.73
1.03
14.60
1.30
12.30
1.20
Massachusetts
26.04
1.42
16.53
1.24
5.17
0.69
7.02
0.90
9.64
0.87
8.06
0.88
Maryland
31.79
1.67
21.65
1.52
10.70
1.12
9.11
1.04
12.71
1.17
11.24
1.15
Maine
25.18
1.42
14.93
1.23
8.16
0.94
5.77
0.77
10.26
0.92
9.29
0.96
Michigan
27.60
1.59
18.30
1.40
7.24
0.88
7.04
0.90
11.42
1.10
10.24
1.10
Minnesota
28.04
1.60
18.08
1.41
8.96
1.06
8.59
1.08
13.76
1.28
10.15
1.10
Missouri
26.03
1.46
16.38
1.23
8.49
0.93
6.18
0.78
10.34
0.98
8.81
0.95
Mississippi
39.64
1.85
29.04
1.74
14.38
1.36
15.16
1.39
17.22
1.47
15.94
1.42
Montana
30.09
1.58
18.19
1.34
10.68
1.08
8.89
1.02
14.10
1.19
11.37
1.07
North Carolina
32.60
1.76
23.88
1.63
8.33
1.04
7.04
0.95
10.99
1.13
9.23
1.09
North Dakota
26.32
1.60
14.12
1.24
7.58
0.96
6.55
0.93
11.65
1.13
7.88
0.98
Nebraska
27.64
1.47
18.20
1.32
7.33
0.85
7.45
0.92
11.66
1.04
8.62
0.96
New Hampshire
23.95
1.45
12.18
1.11
6.60
0.85
5.88
0.81
9.38
0.95
9.52
1.01
New Jersey
34.57
1.60
21.43
1.42
8.91
0.95
10.75
1.10
16.06
1.25
14.17
1.19
New Mexico
41.30
1.88
29.61
1.79
13.57
1.32
13.84
1.38
17.04
1.43
14.42
1.36
Nevada
41.82
1.87
29.77
1.74
16.57
1.45
16.54
1.44
21.32
1.55
17.33
1.43
New York
36.19
1.52
22.36
1.34
10.30
1.00
13.46
1.13
17.49
1.22
13.62
1.11
Ohio
28.64
1.62
18.01
1.39
8.55
1.04
7.88
1.01
11.73
1.17
10.90
1.20
Oklahoma
30.31
1.56
20.25
1.39
12.09
1.14
9.30
1.00
12.87
1.11
12.72
1.16
Oregon
31.46
1.60
19.57
1.42
11.19
1.15
9.52
1.09
12.81
1.13
10.92
1.10
Pennsylvania
28.88
1.75
17.60
1.49
8.38
1.09
7.00
0.98
10.99
1.17
9.23
1.12
Rhode Island
28.45
1.51
17.83
1.30
7.97
0.95
9.25
1.04
12.53
1.13
10.54
1.06
South Carolina
32.12
1.62
20.53
1.38
10.20
1.05
10.88
1.11
14.65
1.23
11.46
1.12
South Dakota
27.42
1.48
18.56
1.32
8.18
0.89
8.05
0.92
11.71
1.04
9.21
0.96
Tennessee
28.39
1.63
19.95
1.46
9.72
1.09
8.49
1.02
11.53
1.15
10.03
1.14
Texas
36.50
1.79
26.63
1.66
13.64
1.31
15.03
1.38
15.69
1.35
13.81
1.30
Utah
23.72
1.41
15.69
1.24
6.71
0.80
5.59
0.81
12.16
1.10
8.27
0.92
Virginia
33.31
1.73
22.09
1.58
10.76
1.18
10.06
1.17
13.35
1.24
11.27
1.19
Vermont
19.36
1.28
9.80
1.00
5.21
0.74
5.64
0.79
8.75
0.87
6.86
0.82
Washington
29.12
1.61
16.65
1.31
10.00
1.11
9.66
1.06
13.33
1.21
11.79
1.18
Wisconsin
24.72
1.45
15.84
1.27
6.45
0.81
6.91
0.87
10.15
1.01
6.42
0.77
West Virginia
26.06
1.39
14.89
1.14
9.23
0.97
8.75
0.94
9.90
0.93
9.21
0.93
Wyoming
27.53
1.47
15.03
1.16
9.03
0.95
6.75
0.83
12.09
1.05
8.37
0.90
Child's age, y
0–5
30.76
0.64
21.09
0.59
8.92
0.39
9.81
0.43
13.39
0.47
10.37
0.42
6–11
34.64
0.65
23.46
0.59
11.20
0.46
11.19
0.46
15.83
0.52
13.01
0.48
12–17
34.72
0.64
22.94
0.58
11.68
0.45
11.46
0.48
15.90
0.49
13.37
0.47
Child's sex
Male
33.63
0.51
22.92
0.48
10.82
0.36
11.37
0.38
15.02
0.41
12.77
0.39
Female
33.18
0.53
22.09
0.48
10.41
0.35
10.28
0.37
14.45
0.41
11.76
0.37
Race/ethnicity
Hispanic
49.98
1.05
39.12
1.01
17.16
0.78
20.03
0.86
21.58
0.87
17.85
0.80
Non-Hispanic White
22.29
0.37
12.24
0.30
6.49
0.22
5.40
0.21
9.88
0.28
8.08
0.26
Non-Hispanic Black
43.76
1.03
31.44
0.95
13.74
0.75
14.25
0.72
18.07
0.82
16.10
0.77
Mixed race
30.10
1.41
18.30
1.24
11.00
0.99
9.51
0.90
13.17
1.02
10.58
0.87
Other
45.04
1.50
31.20
1.40
13.96
1.06
15.81
1.10
22.91
1.22
18.90
1.15
Household composition
Two-parent biological household
30.33
0.44
19.91
0.40
9.05
0.29
9.47
0.31
13.54
0.34
10.76
0.31
Two-parent stepfamily
37.72
1.35
27.57
1.33
12.99
1.00
11.79
1.02
13.97
0.99
14.24
1.08
Single mother
40.42
0.88
28.19
0.82
13.60
0.65
14.34
0.68
18.57
0.72
15.21
0.67
Other family types
37.85
1.44
25.22
1.30
14.21
1.08
12.88
0.90
16.53
1.13
15.97
1.03
Child health status
CSHCN
32.97
0.78
20.22
0.68
11.97
0.58
11.11
0.57
15.88
0.62
13.22
0.59
No CSHCN
33.52
0.42
23.11
0.39
10.28
0.28
10.77
0.30
14.45
0.32
12.03
0.30
Place of residence
Metropolitan
45.83
0.43
22.68
0.39
10.53
0.29
10.94
0.30
14.98
0.33
12.44
0.30
Nonmetropolitan
44.52
0.74
21.85
0.66
11.07
0.53
10.35
0.55
13.63
0.55
11.49
0.55
Primary language spoken at home
English
28.44
0.36
17.64
0.31
8.77
0.23
8.08
0.23
12.28
0.27
10.40
0.25
Any other language
62.03
1.24
50.51
1.26
21.23
1.03
26.63
1.13
28.71
1.14
22.94
1.05
Household/parental education level, y
<12
58.65
1.43
46.59
1.46
21.88
1.23
25.87
1.32
26.55
1.30
21.48
1.22
12
42.63
0.94
31.38
0.90
13.70
0.67
14.26
0.71
17.03
0.74
14.71
0.68
>12
26.33
0.39
15.67
0.32
7.80
0.24
7.27
0.25
11.98
0.29
9.91
0.27
Household poverty status [ratio of family income to poverty threshold]
Below 100%
50.60
0.89
39.15
0.90
18.40
0.73
19.82
0.76
22.30
0.78
19.21
0.74
100–199%
40.17
0.88
28.08
0.83
14.11
0.66
14.42
0.69
18.23
0.74
15.15
0.68
200–399%
28.02
0.67
17.42
0.60
7.62
0.39
7.62
0.42
12.10
0.48
9.76
0.44
At or above 400%
20.81
0.58
10.97
0.45
5.15
0.33
4.60
0.32
29.04
0.39
7.39
0.36
Health insurance status at time of survey
Private insurance
25.10
0.42
52.60
2.00
33.68
2.07
29.53
2.05
35.31
2.01
30.12
1.95
Public insurance
43.14
0.68
31.19
0.64
13.73
0.48
15.28
0.52
18.03
0.53
15.31
0.50
No insurance
63.59
1.90
14.84
0.36
6.96
0.25
6.68
0.26
11.10
0.31
9.04
0.29
The chi-square test for the overall association between each covariate and the family-centered care outcomes was statistically significant atp<0.05 level, except sex and child health status.Figure 1
Quintile maps showing state variation in the prevalence of not receiving family-centered care, United States: the 2011-2012 National Survey of Children’s Health.An overwhelming percentage of minority children, children from non-English-speaking households, and those from poor families did not receive FCC and its components. For example, 50% of Hispanic and 43.8% of non-Hispanic Black children did not receive FCC. Health care providers did not spend enough time with 39.1% and 31.4%, respectively, of Hispanic and non-Hispanic Black children. Approximately, 62.0% of children from non-English-speaking families and 50.6% of children from households living below 100% of the federal poverty threshold were reported not to receive FCC. Approximately, 59.0% of children whose parents had less than a high school education were reported not to receive FCC, compared with 26.3% of children whose parents had a college education.Table2 presents the unadjusted odds of access to FCC and its components, showing marked variations by sociodemographic and geographic variables. Table 3 shows state variations in selected socioeconomic and demographic characteristics, which may contribute to the observed geographical disparities in the prevalence and odds of access to FCC and its components shown in Tables 1 and 2. The percentage of non-white minority children was the highest in the Southern and Western regions of the United States and the lowest in the Midwest. More than 82% of children in Hawaii were of minority ethnicity, compared with only 12% in Maine (Table 3). The Western states had the highest percentage of non-English-speaking households; the percentage varied from <1% for West Virginia and Vermont to a high of 35.4% for California. Low-income and low-education households were most prevalent in the Southern and Western United States. Approximately 33% of the households in Mississippi were below the poverty level, compared with 10% of the households in Wyoming. Approximately 19% of the households or parents in Nevada and California lacked a high school education, compared with only 2% in New Hampshire and North Dakota.Table 2
Unadjusted odds of not receiving family-centered care by state, socioeconomic, and demographic characteristics: the 2011-2012 National Survey of Children's Health.
State
No family-centered care
Not spending enough time
Does not listen carefully
⁢Not sensitive to values
Not providing information
Not feeling like partner
OR
95% CI
OR
95% CI
OR
95% CI
OR
95% CI
OR
95% CI
OR
95% CI
Alaska
1.96
1.57
2.44
2.48
1.87
3.28
2.06
1.41
3.01
2.08
1.43
3.04
1.91
1.42
2.55
1.96
1.41
2.73
Alabama
2.17
1.75
2.70
2.73
2.06
3.62
2.22
1.52
3.24
1.97
1.36
2.85
1.64
1.22
2.20
1.82
1.30
2.54
Arkansas
2.03
1.62
2.53
2.69
2.02
3.57
2.20
1.51
3.22
1.73
1.17
2.54
1.51
1.12
2.04
1.64
1.16
2.32
Arizona
2.89
2.33
3.59
3.96
3.02
5.21
2.87
1.99
4.12
2.58
1.80
3.72
2.49
1.88
3.30
2.55
1.85
3.51
California
3.05
2.45
3.78
3.92
2.99
5.15
3.12
2.19
4.45
3.18
2.23
4.53
2.81
2.13
3.71
2.72
1.99
3.73
Colorado
1.90
1.51
2.38
2.15
1.60
2.89
2.34
1.60
3.42
2.02
1.38
2.95
1.88
1.39
2.54
1.73
1.23
2.45
Connecticut
1.71
1.39
2.11
2.11
1.61
2.78
1.71
1.18
2.47
1.34
0.92
1.94
1.33
1.00
1.77
1.36
0.98
1.88
District of Columbia
2.44
1.92
3.09
2.80
2.07
3.77
1.91
1.27
2.88
2.25
1.52
3.33
1.77
1.29
2.44
1.79
1.24
2.58
Delaware
2.01
1.62
2.51
2.46
1.85
3.27
1.61
1.08
2.40
1.48
0.99
2.20
1.44
1.06
1.95
1.73
1.23
2.43
Florida
2.54
2.04
3.15
3.39
2.57
4.46
2.58
1.78
3.73
2.25
1.56
3.24
2.14
1.61
2.84
2.42
1.75
3.35
Georgia
2.23
1.79
2.77
2.87
2.17
3.78
2.27
1.56
3.30
2.06
1.42
2.98
1.57
1.17
2.11
2.14
1.55
2.97
Hawaii
2.01
1.63
2.47
2.50
1.91
3.28
1.83
1.26
2.65
1.89
1.32
2.71
1.95
1.48
2.57
1.71
1.24
2.35
Iowa
1.21
0.96
1.51
1.52
1.13
2.03
1.29
0.87
1.91
1.09
0.73
1.64
1.18
0.87
1.60
1.13
0.80
1.61
Idaho
1.70
1.35
2.13
2.19
1.63
2.94
1.40
0.94
2.09
1.23
0.82
1.85
1.64
1.22
2.23
1.55
1.10
2.20
Illinois
1.99
1.61
2.46
2.63
2.00
3.46
1.77
1.22
2.58
1.95
1.35
2.82
1.73
1.30
2.30
1.66
1.20
2.30
Indiana
1.70
1.36
2.12
2.05
1.54
2.73
1.72
1.16
2.54
1.46
0.98
2.17
1.64
1.21
2.20
1.44
1.01
2.04
Kansas
1.81
1.45
2.24
2.29
1.73
3.04
1.75
1.20
2.55
1.45
0.99
2.14
1.56
1.17
2.10
1.46
1.04
2.03
Kentucky
1.70
1.37
2.11
2.04
1.54
2.71
1.84
1.27
2.68
1.61
1.10
2.35
1.42
1.06
1.90
1.60
1.15
2.23
Louisiana
2.07
1.66
2.58
2.79
2.11
3.71
1.81
1.23
2.66
1.60
1.09
2.36
1.78
1.33
2.40
1.90
1.37
2.66
Massachusetts
1.47
1.18
1.82
1.82
1.37
2.42
0.99
0.66
1.49
1.26
0.85
1.88
1.11
0.83
1.49
1.19
0.85
1.68
Maryland
1.94
1.56
2.42
2.54
1.91
3.37
2.18
1.50
3.17
1.68
1.14
2.46
1.52
1.13
2.04
1.72
1.23
2.41
Maine
1.40
1.13
1.74
1.61
1.21
2.16
1.62
1.10
2.37
1.02
0.68
1.53
1.19
0.89
1.59
1.39
0.99
1.95
Michigan
1.59
1.27
1.99
2.06
1.54
2.75
1.42
0.96
2.10
1.27
0.85
1.89
1.34
0.99
1.82
1.55
1.10
2.18
Minnesota
1.62
1.30
2.03
2.03
1.52
2.72
1.79
1.21
2.65
1.57
1.06
2.34
1.67
1.23
2.25
1.53
1.09
2.17
Missouri
1.47
1.18
1.82
1.80
1.36
2.39
1.69
1.16
2.46
1.10
0.74
1.63
1.20
0.89
1.62
1.31
0.93
1.85
Mississippi
2.74
2.19
3.41
3.77
2.85
4.97
3.06
2.12
4.41
2.99
2.08
4.29
2.17
1.62
2.91
2.58
1.86
3.57
Montana
1.79
1.44
2.23
2.05
1.54
2.72
2.18
1.51
3.15
1.63
1.11
2.39
1.71
1.28
2.28
1.74
1.26
2.42
North Carolina
2.01
1.61
2.52
2.89
2.17
3.83
1.65
1.11
2.46
1.27
0.84
1.91
1.29
0.94
1.76
1.38
0.97
1.97
North Dakota
1.49
1.19
1.87
1.51
1.12
2.04
1.49
1.00
2.22
1.17
0.77
1.78
1.38
1.02
1.86
1.16
0.81
1.67
Nebraska
1.59
1.28
1.97
2.05
1.54
2.71
1.44
0.98
2.11
1.35
0.91
2.00
1.38
1.03
1.84
1.28
0.91
1.81
New Hampshire
1.31
1.05
1.64
1.28
0.94
1.73
1.29
0.86
1.92
1.04
0.69
1.57
1.08
0.80
1.47
1.43
1.02
2.01
New Jersey
2.20
1.78
2.72
2.51
1.90
3.31
1.78
1.23
2.59
2.02
1.39
2.92
2.00
1.51
2.64
2.24
1.63
3.08
New Mexico
2.93
2.35
3.66
3.87
2.93
5.11
2.86
1.98
4.13
2.69
1.85
3.89
2.14
1.60
2.87
2.29
1.64
3.19
Nevada
2.99
2.40
3.73
3.90
2.96
5.14
3.62
2.52
5.18
3.32
2.32
4.74
2.83
2.13
3.74
2.85
2.07
3.92
New York
2.36
1.92
2.90
2.65
2.02
3.47
2.09
1.45
3.01
2.60
1.83
3.69
2.21
1.69
2.90
2.14
1.57
2.93
Ohio
1.67
1.34
2.09
2.02
1.51
2.70
1.70
1.15
2.53
1.43
0.96
2.14
1.39
1.02
1.89
1.66
1.17
2.36
Oklahoma
1.81
1.46
2.25
2.34
1.77
3.09
2.50
1.74
3.60
1.71
1.18
2.49
1.54
1.15
2.06
1.98
1.43
2.74
Oregon
1.91
1.54
2.37
2.24
1.68
2.97
2.29
1.58
3.33
1.76
1.20
2.58
1.53
1.15
2.05
1.66
1.19
2.33
Pennsylvania
1.69
1.34
2.13
1.97
1.46
2.65
1.66
1.11
2.49
1.26
0.83
1.91
1.29
0.94
1.77
1.38
0.96
1.99
Rhode Island
1.66
1.33
2.06
2.00
1.50
2.65
1.58
1.07
2.33
1.70
1.16
2.50
1.49
1.11
2.01
1.60
1.15
2.24
South Carolina
1.97
1.59
2.45
2.38
1.80
3.14
2.07
1.43
3.00
2.04
1.41
2.95
1.79
1.34
2.39
1.76
1.26
2.45
South Dakota
1.57
1.27
1.95
2.10
1.58
2.77
1.62
1.12
2.36
1.47
1.00
2.14
1.38
1.03
1.85
1.38
0.98
1.93
Tennessee
1.65
1.32
2.07
2.29
1.72
3.05
1.96
1.34
2.87
1.55
1.05
2.29
1.36
1.00
1.85
1.51
1.06
2.16
Texas
2.39
1.92
2.98
3.34
2.53
4.41
2.88
1.99
4.15
2.96
2.06
4.25
1.94
1.45
2.60
2.18
1.56
3.03
Utah
1.30
1.04
1.62
1.71
1.28
2.28
1.31
0.89
1.93
0.99
0.65
1.51
1.44
1.08
1.94
1.22
0.87
1.73
Virginia
2.08
1.67
2.60
2.61
1.96
3.47
2.20
1.50
3.21
1.87
1.27
2.75
1.61
1.19
2.17
1.73
1.22
2.43
Vermont
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Washington
1.71
1.37
2.14
1.84
1.38
2.45
2.02
1.38
2.96
1.79
1.23
2.61
1.60
1.19
2.16
1.82
1.30
2.54
Wisconsin
1.37
1.10
1.71
1.73
1.30
2.32
1.26
0.84
1.87
1.24
0.84
1.84
1.18
0.87
1.60
0.93
0.65
1.33
West Virginia
1.47
1.19
1.82
1.61
1.21
2.14
1.85
1.28
2.69
1.60
1.11
2.33
1.15
0.85
1.54
1.38
0.99
1.92
Wyoming
1.58
1.28
1.96
1.63
1.22
2.16
1.81
1.25
2.62
1.21
0.82
1.79
1.43
1.07
1.92
1.24
0.88
1.74
Child's age, y
0–5
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
6–11
1.19
1.10
1.29
1.15
1.04
1.26
1.29
1.13
1.47
1.16
1.02
1.32
1.33
1.19
1.49
1.29
1.14
1.46
12–17
1.20
1.10
1.30
1.11
1.01
1.22
1.35
1.19
1.54
1.19
1.04
1.36
1.34
1.20
1.50
1.33
1.18
1.50
Child's sex
Male
1.02
0.96
1.09
1.05
0.97
1.13
1.04
0.94
1.16
1.12
1.00
1.25
1.05
0.96
1.15
1.10
1.00
1.21
Female
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Race/ethnicity
Non-Hispanic White
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Non-Hispanic Black
2.71
2.47
2.97
3.29
2.97
3.64
2.30
1.99
2.65
2.91
2.53
3.35
2.01
1.78
2.28
2.18
1.91
2.49
Hispanic
3.48
3.18
3.82
4.60
4.17
5.09
2.99
2.62
3.40
4.39
3.84
5.02
2.51
2.23
2.82
2.47
2.18
2.81
Non-Hispanic mixed race
1.50
1.31
1.72
1.61
1.35
1.91
1.78
1.44
2.20
1.84
1.48
2.29
1.38
1.15
1.66
1.35
1.11
1.63
Other
2.86
2.52
3.24
3.25
2.83
3.74
2.34
1.94
2.82
3.29
2.75
3.94
2.71
2.34
3.14
2.65
2.26
3.11
Household composition
Two-parent biological household
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Two-parent stepfamily
1.39
1.23
1.57
1.53
1.33
1.76
1.50
1.25
1.81
1.28
1.04
1.57
1.04
0.87
1.23
1.38
1.15
1.66
Single mother
1.56
1.43
1.69
1.58
1.44
1.73
1.58
1.39
1.80
1.60
1.40
1.82
1.46
1.31
1.63
1.49
1.32
1.68
Other family type
1.40
1.23
1.59
1.36
1.17
1.57
1.66
1.38
2.01
1.41
1.19
1.68
1.27
1.07
1.50
1.58
1.34
1.86
Place of residence
Metropolitan
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Nonmetropolitan
0.97
0.90
1.04
0.96
0.88
1.04
1.06
0.94
1.19
0.94
0.82
1.07
0.90
0.81
0.99
0.91
0.81
1.03
Primary language spoken at home
English
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Any other language
4.11
3.69
4.58
4.76
4.28
5.30
2.81
2.45
3.21
4.13
3.63
4.70
2.88
2.55
3.24
2.57
2.26
2.91
Household/parental education level, y
<12
3.97
3.51
4.49
4.69
4.15
5.32
3.31
2.84
3.87
4.45
3.82
5.18
2.66
2.31
3.06
2.49
2.13
2.90
12
2.08
1.91
2.26
2.46
2.24
2.71
1.88
1.65
2.13
2.12
1.85
2.42
1.51
1.34
1.69
1.57
1.39
1.77
12+
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Household poverty status (ratio of family income to poverty threshold)
Below 100%
3.90
3.53
4.31
5.22
4.66
5.86
4.15
3.52
4.9
5.13
4.33
6.09
2.89
2.54
3.28
2.98
2.60
3.42
100–199%
2.56
2.31
2.83
3.17
2.80
3.59
3.03
2.53
3.61
3.50
2.90
4.22
2.24
1.95
2.58
2.24
1.93
2.60
200–399%
1.48
1.34
1.63
1.71
1.51
1.95
1.52
1.28
1.80
1.71
1.42
2.06
1.39
1.22
1.58
1.36
1.18
1.56
At or above 400%
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Health insurance status at time of survey
Private insurance
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Public insurance
2.26
2.11
2.43
2.60
2.40
2.82
2.13
1.91
2.37
2.52
2.25
2.82
1.76
1.60
1.94
1.82
1.64
2.02
No insurance
5.21
4.41
6.16
6.37
5.39
7.53
6.79
5.58
8.27
5.85
4.74
7.22
4.37
3.64
5.25
4.34
3.57
5.27Table 3
State variations in selected socioeconomic and demographic characteristics (weighted percentages), United States: the 2011-2012 National Survey of Children's Health.
State
Non-Whiteminority children
Single motherhouseholds
Non-English-speakinghouseholds
Household or parentaleducation < 12 years
Households belowpoverty level
Children withouthealth insurance
United States
48.86
18.85
15.61
11.44
22.46
5.49
Alaska
46.83
16.48
5.43
5.29
19.88
5.79
Alabama
44.80
24.99
4.43
10.86
26.87
4.01
Arkansas
40.03
20.67
8.37
10.52
26.74
4.64
Arizona
59.74
18.82
21.99
14.71
28.89
11.70
California
73.19
14.17
35.35
18.66
24.27
6.32
Colorado
43.07
16.60
15.39
9.68
16.77
7.59
Connecticut
42.99
17.77
15.42
8.10
14.56
2.64
District of Columbia
82.11
37.91
13.25
12.57
31.03
1.27
Delaware
50.85
21.95
9.76
9.42
18.39
3.65
Florida
57.36
22.43
15.94
10.13
26.26
9.32
Georgia
55.53
25.67
9.80
11.91
25.85
7.16
Hawaii
79.69
13.08
8.02
4.61
19.06
1.22
Iowa
20.75
15.88
6.25
6.31
17.54
2.74
Idaho
24.82
12.33
7.69
7.91
20.99
5.75
Illinois
48.79
18.98
19.58
10.74
20.90
1.57
Indiana
28.64
19.96
6.04
10.18
21.34
5.33
Kansas
34.33
14.45
10.98
9.83
19.19
5.01
Kentucky
24.51
21.40
3.25
9.01
28.58
4.18
Louisiana
51.55
28.70
3.34
11.77
28.21
2.08
Massachusetts
36.42
19.72
12.79
7.17
14.63
1.04
Maryland
55.98
17.99
11.53
7.83
14.40
4.36
Maine
12.00
14.53
1.39
3.89
16.71
3.80
Michigan
34.15
22.09
5.21
7.75
23.54
2.67
Minnesota
29.00
14.62
7.53
6.56
15.02
4.44
Missouri
29.74
19.88
4.01
7.83
21.32
4.26
Mississippi
54.14
30.29
3.18
10.58
32.75
7.27
Montana
23.39
15.21
1.48
4.05
18.19
8.55
North Carolina
47.27
21.62
10.47
10.80
25.67
6.16
North Dakota
24.58
13.49
1.20
2.21
11.81
6.50
Nebraska
30.03
15.69
10.40
8.00
16.33
4.98
New Hampshire
13.93
14.59
3.22
2.11
10.31
3.37
New Jersey
52.44
17.84
19.32
7.00
14.64
3.46
New Mexico
75.76
17.94
20.96
15.85
30.56
6.68
Nevada
63.41
19.15
27.10
18.86
24.04
13.25
New York
51.31
19.47
19.70
11.36
22.66
2.81
Ohio
27.74
20.33
3.55
8.15
23.40
3.20
Oklahoma
45.07
18.28
6.71
10.30
23.65
7.27
Oregon
37.22
14.58
14.62
11.68
23.96
4.32
Pennsylvania
32.13
17.89
7.53
8.64
20.29
4.15
Rhode Island
39.23
20.30
15.46
11.56
18.73
3.89
South Carolina
48.37
25.62
6.28
9.90
27.28
6.40
South Dakota
24.59
12.61
1.62
5.89
14.24
3.24
Tennessee
37.87
22.53
6.11
8.74
26.16
5.36
Texas
66.97
18.19
25.83
18.15
25.30
9.40
Utah
25.71
9.76
9.92
6.50
15.57
8.71
Virginia
46.29
15.97
12.43
6.94
15.53
5.27
Vermont
13.05
16.79
0.82
2.97
13.50
1.32
Washington
41.62
16.34
15.22
9.88
18.19
3.64
Wisconsin
29.56
18.79
6.63
8.00
17.00
1.65
West Virginia
13.07
19.31
0.54
8.81
25.16
4.17
Wyoming
22.67
13.84
4.22
3.72
10.08
5.90Even after controlling for socioeconomic and demographic covariates, wide disparities in the receipt of FCC and its components persisted for children in a collection of states, for racial/ethnic minority children, and for children from low-income and low-education households (Table4). For example, children in Arizona, Mississippi, Nevada, California, New Jersey, Virginia, Florida, and New York had at least 1.51 times higher adjusted odds of not receiving FCC than children in Vermont. Families of children in New York and New Jersey had 1.43 (AOR: 1.43; CI: 1.01–2.03) and 1.64 (AOR: 1.64; CI: 1.15–2.34) times higher adjusted odds, respectively, of not feeling like partners in their child’s care than families in Vermont. Children in Maryland and Mississippi had 1.52 (AOR: 1.52; CI: 1.10–2.10) and 1.91 (AOR: 1.91; CI: 1.42–2.58) times higher odds, respectively, of their health care providers not spending enough time with them during their care, while children in New York and Mississippi had at least 1.49 and 1.58 times higher odds of doctors not being sensitive to their values and customs than those in Vermont, respectively. Children from non-English-speaking households had 2.23 and 2.35 times higher adjusted odds of not receiving FCC and their health care providers not spending enough time in their care than children from English-speaking households.Table 4
Adjusted1 odds of not receiving family-centered care by state, socioeconomic, and demographic characteristics: the 2011-2012 National Survey of Children's Health.
Covariate
No family-centered care
Not spending enough time
Does not listen carefully
Not sensitive to values
Not providing information
Not feeling like partner
AOR
95% CI
AOR
95% CI
AOR
95% CI
AOR
95% CI
AOR
95% CI
AOR
95% CI
Alaska
1.36
1.08
1.72
1.55
1.16
2.09
1.36
0.92
2.02
1.27
0.86
1.89
1.34
0.99
1.82
1.36
0.97
1.93
Alabama
1.47
1.17
1.86
1.61
1.20
2.18
1.56
1.05
2.31
1.19
0.80
1.78
1.14
0.83
1.56
1.23
0.87
1.76
Arkansas
1.33
1.05
1.69
1.53
1.13
2.07
1.49
1.00
2.23
1.00
0.67
1.51
1.02
0.75
1.40
1.10
0.76
1.58
Arizona
1.65
1.29
2.11
1.81
1.33
2.47
1.63
1.09
2.45
1.20
0.80
1.80
1.45
1.05
1.99
1.47
1.03
2.10
California
1.56
1.21
2.00
1.57
1.15
2.15
1.90
1.28
2.82
1.40
0.92
2.12
1.59
1.15
2.19
1.57
1.09
2.25
Colorado
1.40
1.09
1.80
1.28
0.92
1.77
1.81
1.20
2.73
1.27
0.83
1.94
1.35
0.97
1.87
1.26
0.86
1.83
Connecticut
1.29
1.02
1.63
1.34
0.99
1.83
1.44
0.96
2.15
0.89
0.59
1.36
0.98
0.71
1.35
1.02
0.71
1.46
District of Columbia
1.19
0.91
1.57
1.09
0.78
1.53
1.15
0.73
1.80
1.02
0.65
1.58
1.00
0.69
1.43
0.99
0.66
1.49
Delaware
1.42
1.11
1.83
1.48
1.08
2.04
1.25
0.81
1.93
0.94
0.60
1.46
1.02
0.72
1.43
1.23
0.84
1.80
Florida
1.53
1.20
1.96
1.69
1.24
2.31
1.63
1.09
2.43
1.17
0.77
1.77
1.32
0.96
1.80
1.50
1.05
2.15
Georgia
1.35
1.06
1.72
1.45
1.06
1.97
1.44
0.96
2.15
1.09
0.72
1.65
0.96
0.69
1.33
1.33
0.93
1.90
Hawaii
1.29
1.01
1.64
1.42
1.04
1.94
1.29
0.85
1.96
1.08
0.72
1.64
1.20
0.87
1.65
1.06
0.73
1.52
Iowa
1.05
0.83
1.33
1.22
0.90
1.66
1.15
0.76
1.74
0.89
0.58
1.37
1.01
0.74
1.39
0.98
0.68
1.41
Idaho
1.34
1.05
1.71
1.56
1.14
2.14
1.06
0.70
1.59
0.87
0.57
1.33
1.36
1.00
1.86
1.28
0.90
1.82
Illinois
1.28
1.01
1.62
1.41
1.04
1.92
1.31
0.88
1.97
1.13
0.75
1.69
1.17
0.86
1.59
1.14
0.79
1.63
Indiana
1.31
1.02
1.67
1.39
1.02
1.91
1.34
0.89
2.04
1.03
0.67
1.58
1.25
0.90
1.72
1.09
0.74
1.59
Kansas
1.37
1.08
1.73
1.48
1.09
2.01
1.32
0.88
1.97
0.95
0.62
1.44
1.16
0.85
1.59
1.08
0.75
1.55
Kentucky
1.34
1.07
1.70
1.46
1.08
1.99
1.42
0.95
2.11
1.18
0.79
1.76
1.11
0.82
1.51
1.23
0.87
1.75
Louisiana
1.32
1.04
1.68
1.55
1.14
2.11
1.25
0.83
1.89
0.93
0.62
1.41
1.22
0.88
1.68
1.28
0.90
1.84
Massachusetts
1.19
0.94
1.52
1.31
0.95
1.79
0.89
0.58
1.38
0.94
0.61
1.46
0.87
0.63
1.20
0.95
0.65
1.38
Maryland
1.36
1.05
1.75
1.52
1.10
2.10
1.74
1.15
2.64
1.06
0.69
1.64
1.06
0.76
1.48
1.21
0.83
1.77
Maine
1.29
1.03
1.61
1.45
1.07
1.96
1.45
0.98
2.13
0.91
0.61
1.37
1.10
0.82
1.47
1.28
0.91
1.80
Michigan
1.20
0.94
1.52
1.40
1.02
1.90
1.13
0.75
1.71
0.88
0.58
1.35
1.01
0.73
1.39
1.16
0.80
1.66
Minnesota
1.37
1.08
1.73
1.54
1.14
2.10
1.56
1.04
2.35
1.21
0.79
1.86
1.33
0.97
1.83
1.24
0.86
1.78
Missouri
1.16
0.92
1.48
1.28
0.94
1.75
1.38
0.92
2.06
0.80
0.53
1.22
0.92
0.67
1.28
1.01
0.70
1.46
Mississippi
1.61
1.27
2.03
1.91
1.42
2.58
1.82
1.24
2.67
1.58
1.08
2.31
1.36
1.00
1.86
1.59
1.13
2.23
Montana
1.45
1.16
1.82
1.55
1.15
2.08
1.60
1.09
2.33
1.19
0.80
1.77
1.36
1.01
1.82
1.36
0.97
1.90
North Carolina
1.31
1.03
1.68
1.63
1.20
2.22
1.10
0.72
1.68
0.71
0.46
1.10
0.86
0.61
1.19
0.91
0.63
1.33
North Dakota
1.33
1.05
1.69
1.25
0.91
1.72
1.23
0.82
1.85
0.96
0.62
1.47
1.17
0.86
1.60
0.98
0.68
1.43
Nebraska
1.26
1.00
1.59
1.43
1.05
1.94
1.15
0.76
1.72
0.94
0.62
1.43
1.07
0.79
1.45
1.01
0.70
1.45
New Hampshire
1.35
1.06
1.73
1.24
0.90
1.72
1.39
0.90
2.14
1.06
0.68
1.67
0.99
0.71
1.39
1.35
0.92
1.96
New Jersey
1.56
1.22
1.98
1.49
1.09
2.03
1.44
0.96
2.17
1.30
0.86
1.96
1.42
1.04
1.95
1.64
1.15
2.34
New Mexico
1.49
1.17
1.91
1.57
1.15
2.14
1.53
1.03
2.28
1.13
0.76
1.70
1.23
0.89
1.69
1.27
0.88
1.83
Nevada
1.61
1.25
2.07
1.64
1.19
2.26
2.11
1.41
3.15
1.49
0.99
2.26
1.59
1.15
2.20
1.62
1.13
2.33
New York
1.51
1.20
1.91
1.38
1.02
1.87
1.50
1.01
2.23
1.49
1.01
2.21
1.45
1.07
1.97
1.43
1.01
2.03
Ohio
1.35
1.05
1.72
1.47
1.07
2.00
1.39
0.91
2.13
1.07
0.69
1.66
1.09
0.78
1.51
1.29
0.89
1.88
Oklahoma
1.23
0.97
1.56
1.39
1.02
1.88
1.71
1.17
2.51
1.03
0.69
1.53
1.06
0.78
1.45
1.36
0.96
1.92
Oregon
1.38
1.09
1.75
1.36
1.00
1.86
1.73
1.16
2.56
1.10
0.72
1.68
1.09
0.79
1.50
1.20
0.83
1.72
Pennsylvania
1.34
1.04
1.73
1.35
0.97
1.88
1.37
0.89
2.11
0.90
0.57
1.40
0.99
0.70
1.39
1.07
0.73
1.57
Rhode Island
1.19
0.93
1.52
1.20
0.87
1.65
1.24
0.81
1.88
1.08
0.71
1.66
1.06
0.76
1.47
1.16
0.80
1.68
South Carolina
1.22
0.96
1.55
1.24
0.91
1.68
1.34
0.90
1.99
1.15
0.77
1.72
1.16
0.85
1.58
1.12
0.79
1.61
South Dakota
1.36
1.09
1.70
1.73
1.29
2.32
1.34
0.91
1.97
1.15
0.78
1.70
1.16
0.86
1.57
1.14
0.81
1.62
Tennessee
1.12
0.88
1.43
1.36
1.00
1.85
1.34
0.89
2.02
0.95
0.62
1.45
0.93
0.67
1.30
1.03
0.70
1.51
Texas
1.23
0.95
1.58
1.35
0.99
1.84
1.66
1.11
2.48
1.33
0.89
1.99
1.11
0.80
1.53
1.26
0.87
1.81
Utah
1.06
0.83
1.35
1.22
0.89
1.68
1.06
0.69
1.62
0.72
0.45
1.13
1.11
0.81
1.53
0.95
0.66
1.39
Virginia
1.56
1.22
1.99
1.70
1.24
2.33
1.76
1.17
2.65
1.26
0.83
1.91
1.17
0.84
1.61
1.27
0.88
1.84
Vermont
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Washington
1.22
0.95
1.57
1.07
0.78
1.48
1.57
1.04
2.37
1.13
0.75
1.72
1.14
0.82
1.58
1.32
0.91
1.91
Wisconsin
1.12
0.88
1.43
1.28
0.93
1.76
1.09
0.72
1.66
0.94
0.61
1.44
0.95
0.69
1.32
0.76
0.52
1.11
West Virginia
1.28
1.02
1.60
1.33
0.99
1.79
1.61
1.09
2.36
1.37
0.93
2.03
0.98
0.72
1.34
1.18
0.83
1.67
Wyoming
1.40
1.12
1.76
1.32
0.98
1.78
1.54
1.05
2.25
0.98
0.66
1.47
1.29
0.96
1.73
1.11
0.78
1.57
Child's age, y
0–5
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
6–11
1.24
1.13
1.35
1.18
1.07
1.31
1.28
1.12
1.47
1.18
1.02
1.35
1.37
1.22
1.55
1.29
1.14
1.47
12–17
1.36
1.24
1.49
1.27
1.15
1.41
1.44
1.25
1.65
1.33
1.16
1.53
1.48
1.32
1.66
1.41
1.25
1.60
Child's sex
Male
1.01
0.95
1.09
1.04
0.96
1.13
1.02
0.92
1.13
1.11
0.99
1.24
1.04
0.95
1.14
1.09
0.99
1.20
Female
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Race/ethnicity
Non-Hispanic White
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Non-Hispanic Black
2.11
1.90
2.34
2.48
2.21
2.79
1.68
1.43
1.98
2.11
1.79
2.49
1.59
1.38
1.83
1.65
1.42
1.93
Hispanic
1.58
1.39
1.79
1.91
1.66
2.19
1.42
1.18
1.73
1.69
1.39
2.07
1.18
0.99
1.40
1.27
1.05
1.53
Non-Hispanic mixed race
1.38
1.19
1.59
1.45
1.21
1.74
1.57
1.28
1.94
1.62
1.31
2.01
1.26
1.05
1.52
1.21
0.99
1.46
Other
2.23
1.92
2.59
2.38
2.01
2.83
1.88
1.52
2.33
2.40
1.92
3.00
2.10
1.76
2.50
2.16
1.79
2.61
Household composition
Two-parent biological household
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Two-parent stepfamily
1.28
1.13
1.45
1.48
1.27
1.71
1.33
1.10
1.60
1.22
0.98
1.51
0.97
0.81
1.15
1.27
1.05
1.55
Single mother
1.05
0.95
1.15
1.02
0.91
1.14
1.10
0.95
1.27
1.11
0.95
1.29
1.14
1.00
1.29
1.12
0.97
1.29
Other family type
1.12
0.97
1.29
1.08
0.91
1.28
1.37
1.12
1.68
1.20
0.99
1.45
1.11
0.92
1.33
1.37
1.15
1.64
Place of residence
Metropolitan
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Nonmetropolitan
1.03
0.93
1.13
1.01
0.90
1.12
1.15
0.99
1.34
1.10
0.92
1.31
0.95
0.83
1.08
0.95
0.82
1.10
Primary language spoken at home
English
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Any other language
2.23
1.93
2.58
2.35
2.02
2.73
1.49
1.23
1.82
1.97
1.61
2.42
1.85
1.55
2.20
1.64
1.36
1.98
Household/parental education level, y
<12
1.54
1.33
1.79
1.60
1.37
1.86
1.26
1.04
1.53
1.45
1.19
1.75
1.19
1.00
1.41
1.10
0.91
1.33
12
1.31
1.19
1.44
1.44
1.29
1.61
1.08
0.94
1.25
1.17
1.00
1.37
1.00
0.88
1.14
1.01
0.88
1.16
12+
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Household poverty status (ratio of family income to poverty threshold)
Below 100%
1.96
1.69
2.26
2.29
1.95
2.69
2.58
2.03
3.28
2.49
1.94
3.18
1.98
1.66
2.37
2.08
1.72
2.52
100–199%
1.68
1.48
1.91
1.86
1.60
2.16
2.17
1.74
2.70
2.22
1.75
2.81
1.79
1.51
2.12
1.78
1.48
2.13
200–399%
1.34
1.21
1.49
1.48
1.30
1.69
1.38
1.15
1.65
1.55
1.28
1.88
1.35
1.19
1.53
1.31
1.13
1.52
At or above 400%
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Health insurance status at time of survey
Private insurance
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
1.00
Reference
Public insurance
1.06
0.96
1.18
1.03
0.92
1.16
0.99
0.85
1.16
1.04
0.89
1.22
1.00
0.88
1.14
1.01
0.88
1.16
No insurance
2.83
2.37
3.36
3.03
2.53
3.61
3.49
2.81
4.33
2.63
2.09
3.32
2.62
2.15
3.19
2.55
2.06
3.14
1Adjusted by multivariate logistic regression for state, child's age, sex, race/ethnicity, household language use, household composition, metropolitan/nonmetropolitan residence, parental education, household poverty status, and health insurance status.Before statistical adjustments, non-Hispanic Black and Hispanic children had 2.71 and 3.48 times higher odds, respectively, of not receiving FCC than non-Hispanic White children (Table2). However, these disparities were somewhat attenuated after adjustment for covariates. In the fully adjusted model, non-Hispanic Black and Hispanic children had 2.11 and 1.58 times higher odds of not receiving FCC than non-Hispanic White children (Table 4). Non-Hispanic Black and Hispanic children, respectively, had 2.48 (AOR: 2.48; CI: 2.21–2.79) and 1.91 (AOR: 1.91; CI: 1.66–2.19) times higher adjusted odds of their parents reporting that health care providers did not spend enough time with them during their care than non-Hispanic White children. Compared to non-Hispanic White children, non-Hispanic Black and Hispanic children had 2.11 (AOR: 2.11; CI: 1.79–2.49) and 1.69 (AOR: 1.69; CI: 1.39–2.07) times higher odds of their parents reporting that health care providers were not being sensitive to their family’s customs and values, respectively. Children from families living below 100% of the federal poverty line had 2.08 times or higher odds of not receiving all but one of the five components of FCC compared to their most-affluent counterparts. The only exception was the odds of their health care providers not providing needed information, which was 1.98 (AOR: 1.98; CI: 1.66–2.37) times higher for poor children than for children from the most-affluent families. Children without health insurance had 2.83 times higher odds of not receiving FCC than those with private insurance.


## 4. Discussion

Our study is, to our knowledge, probably among the first to document the extent of state-level disparities in receipt of FCC and its components among US children and to determine the degree to which individual-level socioeconomic and demographic factors explain the observed geographic disparities using a nationally representative dataset. Although our study is focused on children and families in the United States, our findings have far-reaching national and international implications. Globally, family and patient-centered care is a critical component of a high functioning primary care which in turn has the potential to reduce the adverse health effects of social inequalities associated with income distribution and resource distribution [10]. The World Health Organization continues to advance the reorganizing of health services such as primary care around the needs and expectations of people, thus making them more socially relevant and responsive to the changing world while producing better health outcomes as one of the four sets of primary care reforms around the world [19]. Over the last three decades, nearly every wealthy country in the Organisation for Economic Cooperation and Development (OECD) has implemented reforms that aimed, among other things, at achieving high-quality primary care that drives improved population health outcomes [20]. In European countries such as Netherlands, experts have called on primary care to respond appropriately, both in expertise and supply, to the increasing ethnic and cultural diversity of European countries [21]. This clarion call against the background of our findings that parents of children from non-English-speaking households and from ethnic minority backgrounds such as non-Hispanic Black and Hispanic children reported disproportionately higher odds of parents reporting that health care providers were not being sensitive to their family’s customs and values is poignant. In poor non-OECD countries, such as Africa, equitable and sustainable access to properly functioning health systems for decades has eluded scores of economically deprived populations and those living in rural areas [22]. A health system that optimally delivers in the components of family-centered care can help address the widening disparities in access and prohibitive costs of basic health care which culminates in the deterioration of people’s social status and crunching poverty [22].Given the importance of FCC, both as a quality indicator and a measure of the family’s relationship with their child’s health care provider, our findings reveal troubling patterns of disparities in the experience of minority and poor children with health care providers. We found that parents of as many as 12.3% of children nationally and from 15.1% to 17.3% in Florida, Arizona, Mississippi, California, and Nevada did not feel like a partner in their child’s care. A recent study reported that 16% of parents reported that they did not partner with their health care providers in making decisions on the desired outcome for their child [11]. These estimates are fairly similar even though our study is national in scope covering all children, whereas the latter study presents data for a special population of children with specific health conditions and from predominantly middle-class families [11]. We found that health care providers were not sensitive to the customs and values of as many as 15.1% and 16.5% of children in Mississippi and Nevada, respectively. These estimates are significantly lower than those reported in a recent study among children with neurodevelopmental disabilities where as many as 95% of families reported that their child’s health care provider did not consider their cultural preferences when linking them to services that may be needed by their children [11]. It is conceivable that health care providers are not ethnically and culturally as diverse as the families they are serving who are increasingly becoming diverse by the day. These estimates are troubling given that minorities are projected to constitute almost half of the US population by 2050 [23]. Demographic changes and their attendant diversities in customs, languages, and cultural values present complex challenges that health care providers will face more and more.The clustering of nonreceipt of FCC and its components within the same states of the Southern and Western United States such as Arizona, California, Mississippi, and Nevada with an increasing number of minority children is a cause for concern in the face of federal policies to reduce health care disparities. A prior study has reported a similar pattern of disparities in access to medical home and its components [8]. More troubling is that the national estimates for the overall receipt of FCC were largely unchanged in the last five years when the last NSCH was conducted [24]. Persistent disparities among ethnic minority children in various states—big and small alike—indicate that inequalities in receipt of FCC are likely the result of demographic and socioeconomic differences among children rather than geography [15]. A majority of these states such as Arizona, Nevada, and California have a large Hispanic population which might present language barriers thus culminating in the estimates in our analysis. However, this argument pales given that states with predominantly non-Hispanic populations such as Mississippi, Alabama, Louisiana, Maryland, and the District of Columbia also have estimates of nonreceipt of FCC greater than 32%. It is also important to note that these States have high population of African Americans. States with poor FCC outcomes for children could participate in peer-learning and quality improvement programs such as the National Improvement Partnership Network where they can learn strategies for addressing the disparities documented in our study [25].When fully implemented within a high-quality medical home, FCC may lead to improved health outcomes, health care delivery, and health system transformation, at least in a specialized population [11]. Our findings indicate that almost half of racial/ethnic minority children and their families are not receiving the benefits of FCC. This may impede access to other needed services which has potential consequences for population health and costs to the health care system [26]. Household language is a proxy for immigrant household status and the length of stay in the US [27]. Thus, our finding that 62% of children from non-English-speaking households did not receive FCC indicates the magnitude of challenges faced by immigrants in accessing and navigating the US health care system. It could also be indicative of limited competencies of health care providers in dealing with a patient population who might have different languages, cultural needs, and preferences [28]. In the US, about 21% of 291.5 million people aged 5 years and older speak a language other than English at home [29]. Medical and allied health professional training programs should introduce the teaching of patient-communication skills and cultural competence modules in their training programs so that health care practitioners are better prepared to deal with an increasingly diverse multilingual and multicultural population in the country. Such training programs should include identification and proper use of robust FCC assessment tools such as one developed by Family Voices [30]. Health care professional organizations should work with patient organizations in making these tools available for other health care providers and supporting the use of these tools through policy statements and clinical guidelines. Further research is needed to elucidate the reasons why minority children and children from poor socioeconomic backgrounds continue to receive care that is not considered family-centered.Limitations. Our study has limitations. Children’s receipt of FCC and its components is based on parental reports and may not accurately reflect the actual prevalence. Secondly, NSCH is a cross-sectional survey and, given its cross-sectional nature, we are unable to draw causal inferences from the data. Furthermore, NSCH is a household-based survey with respondents drawn from households with telephone access. It is possible that some children in transitory homes, migrants, or institutionalized children may have been excluded in the survey. The NSCH questionnaire is translated from English to Spanish and four Asian languages—Mandarin, Cantonese, Vietnamese, and Korean. The restriction to only these languages means that potential participants who speak non-Asian and non-Spanish languages may have been excluded from the survey. The survey contains subjective, parental perception, and reporting of receipt of FCC that may not be an objective measure of FCC. There is also potential recall bias for respondents answering survey questions several months after the event of interest; in this case, FCC or any of its components had occurred.


## 5. Conclusion

In conclusion, the evidence presented here suggests that the nation’s aspiration for a continuously learning health care system that delivers patient-centered care, where patients’ preferences are elicited, integrated, and honored, remains a work in progress [31]. It can make a difference in people’s lives when health care providers listen to their patients and families, show them respect, and answer their questions in a culturally and linguistically appropriate manner [23]. The clustering of children who did not receive FCC and its components within the same states, particularly in the Southern and Western United States, as well as the disproportionate number of children from poor, uninsured, or publicly insured and of minority background, is a cause for concern in the face of federal policies to reduce health care disparities. Primary care is the cornerstone of every health care system devoted to improving health outcomes and reducing health disparities [32]. Almost one-quarter (23.6%) of children in US have at least one of a list of 18 chronic conditions which places tremendous demands on their families due to time and expense required for their care [4]. By discharging their care in a family-centered manner, pediatricians and other health care providers could be sources of strength for these parents and families. Pediatricians and other primary health care professionals who care for children are at the forefront of primary care delivery; they are the frontline providers that families encounter upon entry to the health care system. Given their pivotal position in the frontline of health care delivery, pediatricians, specifically, can foster educational and practice programs aimed at increasing partnership between families and their health care providers. Delivering health care that is centered on people’s needs and expectations is a critical element in primary health care’s mission of better health for all [19]. Providing care that is family-centered is a key element of this mission and may also be pivotal to reducing and ultimately eliminating health disparities among all populations regardless of geography, socioeconomic status, or racial/ethnic minority group.



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*Source: 168521-2015-12-17.xml*