Advertising Disclaimer
Published online September 1, 2008
PEDIATRICS Vol. 122 No. 3 September 2008, pp. 574-582 (doi:10.1542/peds.2007-3042)
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Linton, J. M.
Right arrow Articles by Feudtner, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Linton, J. M.
Right arrow Articles by Feudtner, C.
Related Collections
Right arrow Office Practice
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

ARTICLE

What Accounts for Differences or Disparities in Pediatric Palliative and End-of-Life Care? A Systematic Review Focusing on Possible Multilevel Mechanisms

Julie M. Linton, MDa, Chris Feudtner, MD, PhD, MPHb,c,d,e

a Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
b Division of General Pediatrics, School of Medicine
c Center of Clinical Epidemiology and Biostatistics
d Center for Bioethics
e The Leonard Davis Institute, University of Pennsylvania, Philadelphia, Pennsylvania


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
OBJECTIVE. The goal was to clarify potential mechanisms underlying differences/disparities in pediatric palliative and end-of-life care.

METHODS. We systematically searched online databases to identify articles relating to differences/disparities in pediatric palliative and end-of-life care, retaining 19 studies for evaluation. We then augmented this search with a broader review of the literature on the mechanisms of differences/disparities in adult palliative and end-of-life care, general pediatrics, adult medicine, and pain.

RESULTS. The concept of reciprocal interaction can organize and illuminate interacting mechanisms across 3 levels of human organization, namely, broader contextual influences on patients and clinicians, specific patient-provider engagements, and specific patients. By using this rubric, we identified 10 distinct mechanisms proposed in the literature. Broader contextual influences include health care system structures; access to care; and poverty, socioeconomic status, social class, and family structure. Patient-clinician engagements encompass clinician bias, prejudice, and stereotypes; concordance of race; quality of information exchange; and trust. Patient-specific features include perceptions of control; religion and spirituality; and medical conditions.

CONCLUSIONS. Differences and disparities in pediatric palliative and end-of-life care can be understood as arising from various mechanisms that interact across different levels of human organization, and this interactive multilevel model should be considered in designing studies or planning interventions to understand differences and to ameliorate disparities.


Key Words: palliative care • terminal care • cultural diversity • minority groups • social class • socioeconomic factors • health services accessibility • child • multilevel model • hierarchical model

Abbreviations: PEOL—palliative and end-of-life • SES—socioeconomic status • SCHIP—State Children's Health Insurance Program

The imperative in multiple domains of health care to understand racial and ethnic differences and to reduce disparities13 applies with equal force to improving the systems of pediatric palliative and end-of-life (PEOL) care.4,5 The line dividing differences from disparities in health care, as articulated in the 2003 Institute of Medicine report Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care,3 separates differences that arise from patient preferences or diverse clinical trajectories of various medical conditions from disparities attributable to discrimination or differential access to the health care system or exposure to the environment. Drawing this line requires knowing about the underlying mechanisms that created either justifiable differences or unjustifiable disparities; such knowledge is equally important for efforts to respect differences and to remediate disparities.

Currently, our knowledge about mechanisms underlying differences or disparities in PEOL care for infants, children, and adolescents is sufficiently scant that we defer drawing judgmental conclusions, instead referring to differences/disparities, which in several studies of pediatric PEOL care are provocative. An assessment conducted in the late 1990s of parental perceptions of pediatric end-of-life care at a children's hospital observed that Spanish-speaking families reported barriers to high-quality palliative care stemming from both language barriers and different culturally specific expectations about how a physician should express affection toward pediatric patients.6 A study of the medical charts of 38 infants who died in a NICU located in the Midwest region of the United States documented that, among the 61% of charts in which a physician documented recommending withdrawal or withholding of life-sustaining medical treatment, 80% of parents of white infants, compared with 62% of parents of black infants, agreed to those limitations in care.7 More recently, a study of death certificate information in all 50 states from 1989 to 2003 revealed that, although the overall proportion of children with complex chronic conditions dying at home has increased, non-Hispanic black and Hispanic white children with complex chronic conditions are 40% to 50% less likely to die at home than are white/non-Hispanic children, after adjustment for decedents' age, gender, and underlying cause of death.8

In the adult population, differences/disparities regarding the place of death, hospice care, and end-of-life decision-making have been documented (Table 1). Population-level data typically (but not always9,10) demonstrate that white patients are more likely to die at home than are nonwhite patients.1116 Dying at home is often facilitated by hospice care, but ethnic differences in place of death exist among and even within hospice populations.17 Several studies have examined racial and ethnic differences/disparities in hospice enrollment.1724 Black patients are less likely than nonblack patients to use hospice care19 or to return to hospice care after being discharged.21 When patients have consistent insurance coverage and hospice availability, however, racial/ethnic disparities in hospice enrollment can be ameliorated.22 Regarding differences in end-of-life decision-making,2535 hospitalized older black patients are more likely to receive cardiopulmonary resuscitation27 and are less likely to have do-not-resuscitate orders than are nonblack patients (Table 1).36 Differences also exist regarding the choice of alternate decision-makers.29,32,33


View this table:
[in this window]
[in a new window]

 
TABLE 1 Disparities in Adult PEOL Care

 
To increase our understanding of the potential social and cultural mechanisms that might generate racial and ethnic differences/disparities regarding pediatric palliative care, we conducted a systematic review of the published literature regarding potential mechanisms. Although research on adult care differences/disparities has postulated a variety of mechanisms underlying differences/disparities in health status generally3 and in pain specifically,37,38 as well as how clinicians' attitudes and behaviors contribute to the creation and propagation of disparities,37,39,40 we think this effort to synthesize possible mechanisms regarding disparities in health care generally and in pediatric PEOL care specifically is both warranted and timely. To organize the set of potential interrelated mechanisms, we performed this review within the conceptual framework of reciprocal interaction (Fig 1), which was put forth most completely by the social learning theorist Albert Bandura,41 who described an interactive multilevel interface between behavioral, cognitive, and broader contextual influences.


Figure 1
View larger version (32K):
[in this window]
[in a new window]

 
FIGURE 1 Reciprocal interactions of multilevel mechanisms for PEOL disparities.

 

    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In January 2007, we searched the online databases Medline, CINAHL, PsychINFO, and Sociological Abstracts. We included articles based on the US population and articles reporting international studies with "social class" as a MeSH term or descriptor; articles reporting on other populations or not focused on social class were excluded.

In the Medline and CINAHL searches, we used the following MeSH terms as key words: (1) palliative care or terminal care, (2) cultural diversity or minority groups or social class or socioeconomic factors or health services accessibility, and (3) child. Of the 91 articles identified in Medline, 22 studies reported data regarding human subjects; 5 of the 9 US studies were included.4245 Excluded studies focused on surgical palliation (2 reports), geriatric trauma, ethics training in pediatric residency, response to a pet's death, and voluntary euthanasia. One international study was included.46 Of the 43 articles identified in CINAHL, 15 reported data regarding human subjects; 3 of 5 US studies were included.18,44,47 One excluded study focused on custody issues among adult oncology patients, and the other addressed attitudes among school nurses. One international study was included.48

In PsychINFO, we searched the following descriptors as key words: (1) racial and ethnic differences or social class or socioeconomic status (SES), (2) palliative care or terminally ill patients or death and dying, and (3) child or pediatric. We identified 26 articles, with 19 limited to English-language and peer-reviewed journals. Of the 17 empirically based studies, 1 of which was published twice,49 9 US studies were excluded, because 4 focused on violent death and 5 focused on bereavement after the death of a parent or child. Three international studies were included.5052 In Sociological Abstracts, our search of (1) pediatrics or children, (2) palliative care or terminal care or terminal illness, and (3) minority groups or racial differences or cultural groups or SES or social class yielded 1 book and no journal articles.

We augmented the database searches, which yielded 19 suitable articles, by scrutinizing the articles' citations. In addition to the systematic review, we drew from the literature on the mechanisms underlying differences/disparities in adult PEOL care, general pediatrics, adult medicine, and pain as they relate to race/ethnicity, SES, and social class and health services accessibility.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Classification
We classified the 10 mechanisms identified in the literature as chiefly involving reciprocal interactions between broader contextual factors and either patients/families or clinicians, the engagements between patients/families and clinicians, or aspects of an individual patient/family's cognition, behavior, or condition.

Level A: Broader Contextual Influences on Patients/Families and Clinicians
Health Care System Structure
Population-level data indicate that death at home is associated with aspects of the health care system structure, including greater availability of hospice clinicians,12 fewer available hospital beds,12,15 higher home birth rates,15 and greater local area wealth.15 Systematic factors, such as reimbursement barriers47 or the willingness of local hospices to provide care for children, also may limit services that support home death for infants and children.

Hospice referral is partly dependent on aspects of the health care system structure. Among pediatric oncologists, the probability of hospice referral is increased among larger groups of oncologists and oncologic practices with ready access to the services of a hospice agency.53 Within the Medicare population, hospice use is greater in areas with fewer hospital beds, lower in-hospital death rates, and greater health maintenance organization enrollment.54 Patients residing in regions with more hospital beds, greater hospice capacity, or a greater proportion of generalists also enroll earlier in hospice.55 Hospices in the most rural areas have the lowest volumes, and people in more-rural areas are less likely to receive hospice care.56 Constraints in finances, staffing, coordination of care, and patient volume may limit access to hospice care among rural residents.57

Broad availability of hospice services may diminish the impact of the health care system structure on hospice use. Among counties where hospice care is available, aspects of the health care system structure and area demographic variables account for little of the variation at the county level.58 The counties where hospice care is not available, however, generally have fewer medical resources and populations with lower SES,58 which suggests fundamental structural and socioeconomic barriers to the establishment of hospice programs.

Access to Care
Minority children generally face significant disparities in access to care,2,59 and many disparities are reduced when access to care is improved. Although black and Hispanic children are less likely to have a usual source of care before enrollment in State Children's Health Insurance Program (SCHIP),60 SCHIP coverage is associated with improved access, continuity, and quality of care for children of all races/ethnicities and reduced disparities in access, unmet needs, and continuity of care.61

Persistent disparities in quality of care for Hispanic children61 may be partly explained by language barriers. Limited English proficiency of parents increases the odds of children having fair or poor health status, spending ≥1 day in bed because of illness, and not being brought for needed medical care.62 In addition, infants of parents whose primary language is not English are one half as likely to receive all recommended preventive care visits.63 Use of medical interpreters is currently inadequate,2 and failure to use interpreters may be particularly problematic in discussions of sensitive topics such as PEOL care.

Minority patients have limited access in particular to pain management, a critical component of palliative care. Pharmacies located in predominantly Hispanic and black neighborhoods are less likely to store opioid analgesics in their on-site inventory, compared with pharmacies in non-Hispanic white neighborhoods.64 Among patients with chronic pain, access to care regarding their pain was increased if they had health insurance coverage or reported higher levels of annual personal income, and access was reduced if they reported having financial concerns or were of Hispanic ethnicity.65 Although the level of pain among seriously ill inpatients does not vary according to race,66 minority patients with cancer pain are less likely to receive adequate pain management in nursing home67 and outpatient68,69 settings.

Poverty, SES, Social Class, and Family Structure
Access to health care is closely linked to poverty and lower SES, which in turn are associated with both minority status and differences/disparities in morbidity and mortality rates.7075 Although children from poor families are less likely overall to have any chronic conditions (by parental report), they are at higher risk for having severe chronic conditions, being uninsured, and lacking a usual source of care.71 Being black, American Indian, Hawaiian, Puerto Rican, male, or of lower SES also is associated with higher child mortality rates.73 The differences/disparities extend to PEOL care, inasmuch as children with complex chronic conditions who live in more-affluent neighborhoods are more likely to die at home than are those living in poorer areas.76 Regarding SES and end-of-life decision-making among adults, families who report economic hardship are more likely to express a preference for comfort care over life-extending care; among these families reporting economic hardship, white families are more likely to prefer comfort care than are black families.77

Population-based studies in England have found that ethnic minority status,46 social deprivation (a measure of lower income and fewer resources),46 and lower social class48 are associated with decreased likelihood of dying at home. During the first 10 years of life in England, there is a graded association between increasing social class and decreasing mortality rate.49,52 Similarly, Finnish children in the child welfare system have excess deaths, in comparison with both the general population and the segment of the population composed of families whose primary employment is manual labor.50 Although social class is only seldom considered in the US literature, data from other developed nations suggest that class may significantly influence health disparities.9,6569

Poverty, SES, and social class are also closely tied to family structure. Black and Hispanic mothers are more likely to be unmarried,78 and black and Hispanic children enrolled in SCHIP are more likely to come from single-parent households than are white children.61 Single-parent families are associated with generally poorer child health70,79 and greater prevalence and impact of disabilities.80 Among adults, married people, particularly men, are more likely to die at home12,17 and less likely to die in nursing homes,10 and Hispanic and black hospice patients are less likely than white patients to have a spouse as caregiver.18 Furthermore, ethnic differences in the designation of primary decision-makers30,32,33 are likely influenced by family structure.

Cumulative social disadvantage, a construct combining poverty, low parental education levels, and single-parent household structure, is associated with poorer health across race/ethnicity categories.79 Although some studies attribute racial and ethnic differences/disparities primarily to poverty or family structure,72,80 others report significant differences/disparities after adjustment for poverty and SES.70,74,75

Finally, the influence of SES on differences/disparities may differ depending on the composition of the community. For example, although greater likelihood of poor health outcomes is generally associated with decreased parental education, this association is stronger among white and black children and is weaker, nonexistent, or even reversed among Hispanic and Asian children.81

Level B: Engagements Between Patients/Families and Clinicians
Clinician Bias, Prejudice, and Stereotypes
Biases and prejudices (defined as unjustified negative beliefs3) and stereotypes (beliefs based on group membership37) influence patient-clinician engagements. Patients' sociodemographic characteristics, including race, are associated with clinicians' beliefs about patients82 and the treatments offered to patients.83,84 Race/ethnicity may have an even greater impact on treatment decisions when clinical uncertainty and complexity prevail,37 such as in the context of end-of-life decision-making. As clinicians incorporate psychosocial perceptions into end-of-life decision-making,42 bias, prejudice, and stereotypes associated with race/ethnicity may influence clinical decisions and ultimately contribute to disparities.

Concordance of Race
Several studies suggest that patients with race-concordant clinicians have more-positive perceptions of clinicians and the care they receive,8587 but the degree to which racial discordance contributes independently to health differences/disparities has not been clarified. Attributes of the patient-clinician interaction may alter the effect of race/ethnicity discordance. For instance, when pediatricians remain patient-centered (with interpersonal sensitivity, partnership, and medical information-giving), longitudinal relationships facilitate psychosocial disclosure and may ameliorate communication barriers related to racial discordance.88 In a complementary manner, shared values, goals, and expectations regarding PEOL care may explain the effect of discordance. Black physicians are less likely than white physicians to report positive attitudes toward advance care planning and, in response to clinical scenarios, are more likely to request aggressive treatments for themselves,89 preferences similar to those expressed by black patients.25,90

Quality of Information Exchange
The quality of information exchange and collaborative communication with the patient/family is likely a crucial factor exacerbating or ameliorating differences/disparities. Communication is considered to be a priority for pediatric PEOL care.4,6,9193 Palliative care consultations and discussions of end-of-life issues in pediatric hospitals have been associated with fewer medical procedures,94 more support services for families,94 and greater use of opioids and sedatives.95 Although the impact of race/ethnicity on pediatric end-of-life communication has yet to be studied, communication problems in health care are generally more prevalent among minorities. For instance, Hispanic, Asian American, and black patients were more likely to report a communication problem during a health care visit within the past 2 years or to perceive being treated disrespectfully during health care encounters.2

Trust
Trust, which is fundamental to the patient-clinician relationship, has been examined most extensively in the black community, which operates within an historical legacy of exploitation and neglect96,97 and the resulting fear of receipt of inferior care.25 The ensuing racial differences regarding levels of interpersonal and institutional trust likely contribute to differences/disparities in PEOL care. Trust in specific physicians, trust in the medical profession, trust in hospitals, and trust in insurers are all important dimensions of health care experiences.98 Studies suggest that black patients are less likely to trust health care clinicians.99101 One study revealed that many black patients have deep distrust toward health care systems and fear that care is based on the ability to pay,25 but another study showed that, although black respondents are less likely to trust their physicians, they are more likely to trust their health care plans.101

Level C: Individual Characteristics of Patients and Families
Perceptions of Control and Self-efficacy
The patient-clinician relationship can support or impede the potential for patients and families to maintain a sense of control. Control is often considered to be a priority for PEOL care.43,102,103 However, cultural expectations may differ regarding the importance of individual control at the end of life.25,90,104 In a survey of 800 respondents from 4 ethnic groups, European Americans emphasized individual autonomy, Korean Americans generally expect family members to make end-of-life decisions, Mexican Americans rely more heavily on physician judgments, and black patients and families more often distrust physicians and prefer more-aggressive treatment.25 A qualitative study revealed similar observations.90

Because expectations may differ among diverse cultural groups, it cannot be assumed that racial and ethnic differences represent disparities. For example, differences/disparities in pain management38,6769,105109 may be partly explained by racial and ethnic differences in perceptions of control and self-efficacy. Cultural differences in the willingness to abdicate control, including a belief in stoicism and a reluctance to develop tolerance or addiction, may directly influence adequate pain management.105 Moreover, differences/disparities in pain-related distress and functional status are reduced when perceptions of control over pain are held constant.109 The relationship between pain and ethnicity also may be mediated by self-efficacy, the perception that actions will produce desired effects and eliminate undesired ones.110 For instance, among patients with sickle cell disease, self-efficacy is associated with physical and psychological symptoms.111

Religion and Spirituality
Religion and spirituality are cited by many people (especially members of minority communities) as primary resources they use to cope with symptoms and to make decisions at the end of life.107,112115 Black patients are more likely to rely on religion and spirituality to cope with cancer, and patients with cancer with greater reliance on spiritual coping are less likely to have a living will and more likely to desire life-sustaining measures.115 Similarly, disagreement with hospice philosophy is associated with church attendance and black race.114 At the individual and community levels, religious leaders and spiritual support staff members may influence perceptions. Investigators are beginning to consider the role of black religious leaders in shaping community perceptions regarding health care.114

Medical Conditions and Risks
Although they are often confounded by the influence of broader contextual factors, individual factors (such as genetic susceptibility or specific aspects of a person's physiologic or psychological constitution) affect disease across the continuum of care and differ according to race/ethnicity. Black individuals have higher overall mortality rates,45,78,116 higher infant mortality rates,78 and decreased life expectancy,116 and causes of death vary according to ethnicity among both children45,78 and adults.13,45 In addition, race/ethnicity may be related to survival rates after diagnosis. For example, minority patients with cancer have decreased 5-year survival rates, compared with white patients.75 Because the place of death is related to the underlying medical condition,812,14,16 decline before death,16 and time of survival after diagnosis,12,14 racial and ethnic differences in medical conditions may affect differences/disparities in PEOL care.

Interactions of Mechanisms Within and Between Levels
The mechanisms underlying health care differences/disparities, as the outline of evidence presented above indicates, are multifaceted and, importantly, interrelated. Indeed, a major attribute of the theory of reciprocal interaction in the context of health care differences/disparities (Fig 1) is that it posits interactions between mechanisms, both within and between levels, whereby the operation of one mechanism can modify the impact of another mechanism, with the first mechanism either augmenting or diminishing the effect of the second mechanism.

Some specific examples can clarify these interactions. Within what we labeled patient-provider engagements (level B), a longitudinal observational study of parent-physician interactions demonstrated that the quality of information exchange could modify the impact of concordance of race; when physicians remained patient-centered (a construct including interpersonal sensitivity, partnership, and medical information-giving), the impact of racial discordance between black mothers and white female pediatricians decreased over time.88 Similarly, an observational study of children with chronic health conditions (a level C factor) showed not only that children with chronic health conditions were more likely to be uninsured and to lack a usual source of care, compared with children without chronic health conditions, but also that chronically ill children from poor families (a level A factor, ie, broader contextual influences) were much more likely to be uninsured and to lack a usual source of care. This suggests that poverty exacerbates the mechanism through which chronic health conditions alone hamper health care coverage and delivery.71


    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Just as human societies and cultures are composed of many components arrayed in multiple levels of organization, interacting over time, so too are the factors and mechanisms that influence how we are cared for when we are dying. In our systematic review of the pediatric literature and consideration of relevant adult literature, we identified broader contextual influences, patient-clinician engagements, and patient-specific characteristics as mechanisms underlying differences/disparities in pediatric PEOL care.

This thorough review of the pediatric literature has 3 limitations that warrant consideration. First, our analysis was hampered by the notable paucity of relevant pediatric PEOL care literature, which required us to rely on the adult PEOL literature. Although the specific degrees of differences/disparities observed among adults should not be inferred as representing the situation for children, we do think that the mechanisms operating in the adult realm are also active in the realm of pediatrics. Second, the adult PEOL literature was compromised by heterogeneous characterizations of race, failure to account for variations within ethnic groups, predominantly cross-sectional study designs that did not clarify the temporal order of potentially cause-and-effect sequences, and inadequate assessment of patient and family preferences. Third, given the broad spectrum of the various mechanisms we considered, we had to select from the extensive set of published adult studies those we judged as best illustrating key aspects of each mechanism.

Despite these limitations, the interactive multilevel model of reciprocal interactions that we propose provides a useful rubric for consideration of differences/disparities. Multilevel models that delineate explicitly the various difference/disparity mechanisms, and the interactions among those mechanisms, are essential for future observational and interventional research.117,118 For example, a longitudinal multihospital study of symptom progression in patients from different racial or ethnic groups would be well served to analyze the data regarding symptom scores over time not only as belonging to specific patients but also as being nested within the context of clinical engagements (such as the availability of palliative care consultative services and language interpreters within each patient's hospital) and of broader contextual influences (such as regional variations in the availability of hospice care). Of note, the multilevel model, by demanding that we state explicitly whether a factor such as poverty or social class is more pertinent at the level of individual patients (and what they can afford) or at the level of the communities in which the patients reside (and what services are available), urges careful thought about the hypothesized disparity-generating mechanism.119

The reciprocal interaction model also motivates further inquiry about the origins of preferences about PEOL care. Specifically, if patients/families are understood as being affected by their health care and broader environment, do these PEOL care preferences reflect only personal values, or do they reflect attitudes that have arisen in response to persistent differences/disparities regarding how specific groups have been treated? The model also motivates inquiry in the other direction. If patients/families, through their behavior, influence their health care providers and environment, how do we distinguish between appropriate and inappropriate adaptation to patient/family values and behaviors?

Finally, the multilevel reciprocal interaction model can facilitate the conceptualization, design, and evaluation of interventions that intend to respect differences and to diminish disparities in pediatric PEOL care. For example, partnerships between community-based care providers and hospital-based pediatric palliative care teams may be able to create a more robust environment to provide PEOL care both across cultures and within ethnic communities.120 Ideally, these partnerships would involve eliciting preferences regarding care for all patients/families at the time of first engagement and throughout hospice care,121 include not only health care clinicians but also members of religious and spiritual communities, and have plans to intervene, if necessary, regarding socioeconomic determinants of access of care. Program evaluation can then be based both on the achievement of the desired outcome and on potentially important process measures, such as the degree of religious community engagement or success in overcoming economic barriers to care.

Ultimately, the multilevel model of reciprocal interaction will be valuable to the degree that it increases our understanding of multiple interrelated mechanisms and helps to ameliorate existing disparities in pediatric PEOL care and to avert perpetuation of disparities as new PEOL programs are developed. With attention to these disparities and the mechanisms underlying them, we hope that medical care of the highest quality, both palliative and nonpalliative, will be within reach for all children with life-limiting conditions.


    ACKNOWLEDGMENTS
 
We thank Dr Christopher L. Edwards, Dr Marc Hoffmann, and Kari R. Hexem for their comments on our initial conceptualization of this review and drafts of our manuscript.


    FOOTNOTES
 
Accepted Dec 20, 2007.

Address correspondence to Chris Feudtner, MD, PhD, MPH, Division of General Pediatrics, Children's Hospital of Philadelphia, 3535 Market St, Room 1523, Philadelphia, PA 19104. E-mail: feudtner{at}email.chop.edu

The authors have indicated they have no financial relationships relevant to this article to disclose.


What's Known on This Subject

Scant empirical evidence addresses differences or disparities that may exist in pediatric palliative care, and no work has described possible mechanisms.

 

What This Study Adds

This study synthesizes the existing pediatric and adult data regarding possible mechanisms that would generate differences or disparities.

 


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. Groman R, Ginsburg J, American College of Physicians. Racial and ethnic disparities in health care: a position paper of the American College of Physicians. Ann Intern Med. 2004;141 (3):226 –232[Abstract/Free Full Text]

2. Collins K, Hughes D, Doty M, Ives B, Edwards J, Tenney K. Diverse Communities, Common Concerns: Assessing Health Care Quality for Minority Americans: Findings From the Commonwealth Fund 2001 Health Care Quality Survey. New York, NY: Commonwealth Fund;2002

3. Smedley B, Stith A, Nelson A. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: National Academy Press;2003

4. American Academy of Pediatrics, Committee on Bioethics and Committee on Hospital Care. Palliative care for children. Pediatrics. 2000;106 (2):351 –357[Abstract/Free Full Text]

5. Field M, Behrman R, Committee on Palliative and End-of-Life Care for Children and Their Families. When Children Die: Improving Palliative and End-of-Life Care for Children and Their Families. Washington, DC: National Academy Press;2003

6. Contro N, Larson J, Scofield S, Sourkes B, Cohen H. Family perspectives on the quality of pediatric palliative care. Arch Pediatr Adolesc Med. 2002;156 (1):14 –19[Abstract/Free Full Text]

7. Moseley K, Church A, Hempel B, Yuan H, Goold S, Freed G. End-of-life choices for African-American and white infants in a neonatal intensive care unit: a pilot study. J Natl Med Assoc. 2004;96 (7):933 –937[Medline]

8. Feudtner C, Feinstein JA, Satchell M, Zhao H, Kang TI. Shifting place of death among children with complex chronic conditions in the United States, 1979–2003. JAMA. 2007;297 (24):2725 –2732[Abstract/Free Full Text]

9. Enguidanos S, Yip J, Wilber K. Ethnic variation in site of death of older adults dually eligible for Medicaid and Medicare. J Am Geriatr Soc. 2005;53 (8):1411 –1416[CrossRef][Web of Science][Medline]

10. Katz B, Zdeb M, Therriault G. Where people die. Public Health Rep. 1979;94 (6):522 –527

11. Flory J, Yinong Y, Gurol I, Levinsky N, Ash A, Emanuel E. Place of death: US trends since 1980. Health Aff (Millwood). 2004;23 (3):194 –200[Abstract/Free Full Text]

12. Gallo W, Baker M, Bradley E. Factors associated with home versus institutional death among cancer patients in Connecticut. J Am Geriatr Soc. 2001;49 (6):771 –777[CrossRef][Web of Science][Medline]

13. Iwashyna TJ, Chang VW. Racial and ethnic differences in place of death: United States, 1993. J Am Geriatr Soc. 2002;50 (6):1113 –1117[CrossRef][Web of Science][Medline]

14. McCusker J. Where cancer patients die: an epidemiologic study. Public Health Rep. 1983;98 (2):170 –176[Web of Science][Medline]

15. Silveira M, Copeland L, Feudtner C. Likelihood of home death associated with local rates of home birth: influence of local area healthcare preferences on site of death. Am J Public Health. 2006;96 (7):1243 –1248[Abstract/Free Full Text]

16. Weitzen S, Teno J, Fennell M, Mor V. Factors associated with site of death: a national study of where people die. Med Care. 2003;41 (2):323 –335[CrossRef][Web of Science][Medline]

17. Johnson K, Kuchibhatala M, Sloane R, Tanis D, Galanos A, Tulsky J. Ethnic differences in the place of death of elderly hospice enrollees. J Am Geriatr Soc. 2005;53 (12):2209 –2215[CrossRef][Web of Science][Medline]

18. Colón M, Lyke J. Comparison of hospice use and demographics among European Americans, African Americans, and Latinos. Am J Hosp Palliat Care. 2003;20 (3):182 –190[Abstract/Free Full Text]

19. Greiner K, Perera S, Ahluwalia J. Hospice usage by minorities in the last year of life: results from the National Mortality Followback Survey. J Am Geriatr Soc. 2003;51 (7):970 –978[CrossRef][Web of Science][Medline]

20. Han B, Remsburg R, Iwashyna T. Differences in hospice use between black and white patients during the period 1992 through 2000. Med Care. 2006;44 (8):731 –737[CrossRef][Web of Science][Medline]

21. Kapo J, MacMoran H, Casarett D. "Lost to follow-up": ethnic disparities in continuity of hospice care at the end of life. J Palliat Med. 2005;8 (3):603 –608[CrossRef][Medline]

22. Keating N, Herrinton L, Zaslavsky A, Liu L, Ayanian J. Variations in hospice use among cancer patients. J Natl Cancer Inst. 2006;98 (15):1053 –1059[Abstract/Free Full Text]

23. Ngo-Metzger Q, Legedza A, Phillips R. Asian Americans' reports of their health care experiences: results of a national survey. J Gen Intern Med. 2004;19 (2):111 –119[CrossRef][Web of Science][Medline]

24. Virnig B, McBean A, Kind S, Dholakia R. Hospice use before death: variability across cancer diagnoses. Med Care. 2002;40 (1):73 –78[CrossRef][Web of Science][Medline]

25. Blackhall L, Frank G, Murphy S, Michel V, Palmer J, Azen S. Ethnicity and attitudes toward life sustaining technology. Soc Sci Med. 1999;48 (12):1779 –1789[CrossRef][Web of Science][Medline]

26. Borum M, Lynn J, Zhong Z. The effects of patient race on outcomes in seriously ill patients in SUPPORT: an overview of economic impact, medical intervention, and end-of-life decisions: Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. J Am Geriatr Soc. 2000;48 (5 suppl):S194 –S198[Web of Science][Medline]

27. Goodlin S, Zhong Z, Lynn J, et al. Factors associated with use of cardiopulmonary resuscitation in seriously ill hospitalized adults. JAMA. 1999;282 (24):2333 –2339[Abstract/Free Full Text]

28. Hofmann J, Wenger N, Davis R, et al. Patient preferences for communication with physicians about end-of-life decisions: Study to Understand Prognoses and Preference for Outcomes and Risks of Treatment. Ann Intern Med. 1997;127 (1):1 –12[Abstract/Free Full Text]

29. Kwak J, Haley W. Current research findings on end-of-life decision making among racially or ethnically diverse groups. Gerontologist. 2005;45 (5):634 –641[Abstract/Free Full Text]

30. Morrison R, Zayas L, Mulvihill M, Baskin S, Meier D. Barriers to completion of health care proxies: an examination of ethnic differences. Arch Intern Med. 1998;158 (22):2493 –2497[Abstract/Free Full Text]

31. Phillips RS, Wenger NS, Teno J, et al. Choices of seriously ill patients about cardiopulmonary resuscitation: correlates and outcomes: Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Am J Med. 1996;100 (2):128 –137[CrossRef][Web of Science][Medline]

32. Blackhall L, Murphy S, Frank G, Michel V, Azen S. Ethnicity and attitudes toward patient autonomy. JAMA. 1995;274 (10):820 –825[Abstract/Free Full Text]

33. Hornung C, Eleazer G, Strothers H, et al. Ethnicity and decision-makers in group of frail older people. J Am Geriatr Soc. 1998;46 (3):280 –286[Web of Science][Medline]

34. Carrese J, Rhodes L. Western bioethics on the Navajo reservation: benefit or harm? JAMA. 1995;274 (10):826 –829[Abstract/Free Full Text]

35. Vaughn G, Kiyasu E, McCormick W. Advance directive preferences among subpopulations of Asian nursing home residents in the Pacific Northwest. J Am Geriatr Soc. 2000;48 (5):554 –557[Web of Science][Medline]

36. Wenger N, Pearson M, Desmond K, et al. Epidemiology of do-not-resuscitate orders: disparity by age, diagnosis, gender, race, and functional impairment. Arch Intern Med. 1995;155 (19):2056 –2062[Abstract/Free Full Text]

37. Burgess D, van Ryn M, Crowley-Matoka M, Malat J. Understanding the provider contribution to race/ethnicity disparities in pain treatment: insights from dual process models of stereotyping. Pain Med. 2006;7 (2):119 –134[CrossRef][Web of Science][Medline]

38. Green C, Anderson K, Baker T, et al. The unequal burden of pain: confronting racial and ethnic disparities in pain. Pain Med. 2003;4 (3):277 –294[CrossRef][Web of Science][Medline]

39. van Ryn M. Research on the provider contribution to race/ethnicity disparities in medical care. Med Care. 2002;40 (1 suppl):I140 –I151[Medline]

40. van Ryn M, Fu SS. Paved with good intentions: do public health and human service providers contribute to racial/ethnic disparities in health? Am J Public Health. 2003;93 (2):248 –255[Abstract/Free Full Text]

41. Bandura A. The self-system in reciprocal determinism. Am Psychol. 1978;33 (4):344 –358[CrossRef]

42. Crane D. Decisions to treat critically ill patients: a comparison of social versus medical considerations. Milbank Mem Fund Q Health Soc. 1975;53 (1):1 –33[CrossRef][Web of Science][Medline]

43. Donnelly J, Huff S, Lindsey M, McMahon K, Schumacher J. The needs of children with life-limiting conditions: a healthcare-provider-based model. Am J Hosp Palliat Care. 2005;22 (4):259 –267[Abstract/Free Full Text]

44. Feudtner C, Silveira M, Shabbout M, Hoskins R. Distance from home when death occurs: a population-based study of Washington State, 1989–2002. Pediatrics. 2006;117 (5). Available at: www.pediatrics.org/cgi/content/full/117/5/e932

45. McGloin JM. Dying in Connecticut: the facts. Conn Med. 2002;66 (11):665 –669[Medline]

46. Higginson I, Jarman B, Astin P, Dolan S. Do social factors affect where patients die: an analysis of 10 years of cancer deaths in England. J Public Health Med. 1999;21 (1):22 –28[Abstract/Free Full Text]

47. McLaughlin M. An Exploratory Study on the Barriers to Pediatric Palliative Programs and Their Relationships to Funding. Fairfax, VA: George Mason University;2004

48. Higginson I, Thompson M. Children and young people who die from cancer: epidemiology and place of death in England (1995–9). BMJ. 2003;327 (7413):478 –479[Free Full Text]

49. Petrou S, Kupek E, Hockley C, Goldacre M. Social class inequalities in childhood mortality and morbidity in an English population. Paediatr Perinat Epidemiol. 2006;20 (1):14 –23[CrossRef][Web of Science][Medline]

50. Kalland M, Pensola T, Merilainen J, Sinkkonen J. Mortality in children registered in the Finnish child welfare registry: population based study. BMJ. 2001;323 (7306):207 –208[Free Full Text]

51. Pensola T, Valkonen T. Mortality differences by parental social class from childhood to adulthood. J Epidemiol Community Health. 2000;54 (7):525 –529[Abstract/Free Full Text]

52. Reading R. Social class inequalities in childhood mortality and morbidity in an English population. Child Care Health Dev. 2006;32 (3):390 –391[CrossRef]

53. Fowler K, Poehling K, Billheimer D, et al. Hospice referral practices for children with cancer: a survey of pediatric oncologists. J Clin Oncol. 2006;24 (7):1099 –1104[Abstract/Free Full Text]

54. Virnig B, Kind S, McBean M, Fisher E. Geographic variation in hospice use prior to death. J Am Geriatr Soc. 2000;48 (9):1117 –1125[Web of Science][Medline]

55. Christakis N, Iwashyna T. Impact of individual and market factors on the timing of initiation of hospice terminal care. Med Care. 2000;38 (5):528 –541[CrossRef][Web of Science][Medline]

56. Virnig BA, Moscovice IS, Durham SB, Casey MM. Do rural elders have limited access to Medicare hospice services? J Am Geriatr Soc. 2004;52 (5):731 –735[CrossRef][Web of Science][Medline]

57. Casey M, Moscovice I, Virnig B, Durham S. Providing hospice care in rural areas: challenges and strategies. Am J Hosp Palliat Care. 2005;22 (5):363 –368[Abstract/Free Full Text]

58. Iwashyna T, Chang V, Zhang J, Christakis N. The lack of effect of market structure on hospice use. Health Serv Res. 2002;37 (6):1531 –1551[CrossRef][Web of Science][Medline]

59. Shi L, Stevens G. Disparities in access to care and satisfaction among US children: the roles of race/ethnicity and poverty status. Public Health Rep. 2005;120 (4):431 –441[Web of Science][Medline]

60. Brach C, Lewit E, VanLandeghem K, et al. Who's enrolled in the State Children's Health Insurance Program (SCHIP)? An overview of findings from the Child Health Insurance Research Initiative (CHIRI). Pediatrics. 2003;112 (6). Available at: www.pediatrics.org/cgi/content/full/112/6/e499

61. Shone L, Dick A, Klein J, Zwanziger J, Szilagyi P. Reduction in racial and ethnic disparities after enrollment in the State Children's Health Insurance Program. Pediatrics. 2005;115 (6). Available at: www.pediatrics.org/cgi/content/full/115/6/e697

62. Flores G, Abreu M, Tomany-Korman S. Limited English proficiency, primary language at home, and disparities in children's health care: how language barriers are measured matters. Public Health Rep. 2005;120 (4):418 –430[Web of Science][Medline]

63. Cohen A, Christakis D. Primary language of parent is associated with disparities in pediatric preventive care. J Pediatr. 2006;148 (2):254 –258[CrossRef][Web of Science][Medline]

64. Morrison R, Wallenstein S, Natale D, Senzel R, Huang L. "We don't carry that": failure of pharmacies in predominantly nonwhite neighborhoods to stock opioid analgesics. N Engl J Med. 2000;342 (14):1023 –1026[Abstract/Free Full Text]

65. Nguyen M, Ugarte C, Fuller I, Haas G, Portenoy R. Access to care for chronic pain: racial and ethnic differences. J Pain. 2005;6 (5):301 –314[CrossRef][Web of Science][Medline]

66. Desbiens N, Wu A, Broste S, et al. Pain and satisfaction with pain control in seriously ill hospitalized adults: findings from the SUPPORT research investigations: Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. Crit Care Med. 1996;24 (12):1953 –1961[CrossRef][Web of Science][Medline]

67. Bernabei R, Gambassi G, Lapane K, et al. Management of pain in elderly patients with cancer: SAGE Study Group. JAMA. 1999;279 (23):1877 –1882[CrossRef][Web of Science]

68. Cleeland C, Gonin R, Baez L, Loehrer P, Pandya K. Pain and treatment of pain in minority patients with cancer: the Eastern Cooperative Oncology Group Minority Outpatient Pain Study. Ann Intern Med. 1997;127 (9):813 –816[Abstract/Free Full Text]

69. Cleeland C, Gonin R, Hatfield A, et al. Pain and its treatment in outpatients with metastatic cancer. N Engl J Med. 1994;330 (9):592 –596[Abstract/Free Full Text]

70. Montgomery L, Keily J, Pappas G. The effects of poverty, race, and family structure on US children's health: data from the NHIS, 1978 through 1980 and 1989 through 1991. Am J Public Health. 1996;86 (10):1401 –1405[Abstract/Free Full Text]

71. Newacheck P. Poverty and childhood chronic illness. Arch Pediatr Adolesc Med. 1994;148 (11):1143 –1149[Abstract/Free Full Text]

72. Newacheck P, Stein R, Bauman L, Hung Y, Research Consortium on Children With Chronic Conditions. Disparities in the prevalence of disability between black and white children. Arch Pediatr Adolesc Med. 2003;157 (3):244 –248[Abstract/Free Full Text]

73. Singh G, Yu S. US childhood mortality, 1950 through 1993: trends and socioeconomic diffferentials. Am J Public Health. 1996;86 (4):505 –512[Abstract/Free Full Text]

74. Stevens G, Seid M, Mistry R, Halfon N. Disparities in primary care for vulnerable children: the influence of multiple risk factors. Health Serv Res. 2006;41 (2):507 –531[CrossRef][Web of Science][Medline]

75. Ward E, Jemal A, Cokkinides V, et al. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin. 2004;54 (2):78 –93[Abstract/Free Full Text]

76. Feudtner C, Silveira MJ, Christakis DA. Where do children with complex chronic conditions die? Patterns in Washington State, 1980–1998. Pediatrics. 2002;109 (4):656 –660[Abstract/Free Full Text]

77. Covinsky K, Landefeld C, Teno J, et al. Is economic hardship on the families of the seriously ill associated with patient and surrogate care preferences? SUPPORT Investigators. Arch Intern Med. 1996;156 (15):1737 –1741[Abstract/Free Full Text]

78. Hoyert D, Mathews T, Menacker F, Strobino D, Guyer B. Annual summary of vital statistics: 2004. Pediatrics. 2006;117 (1):168 –183[Abstract/Free Full Text]

79. Bauman L, Silver E, Stein R. Cumulative social disadvantage and child health. Pediatrics. 2006;117 (4):1321 –1328[Abstract/Free Full Text]

80. Newacheck P, Halfon N. Prevalence and impact of disabling chronic conditions in childhood. Am J Public Health. 1998;88 (4):610 –617[Abstract/Free Full Text]

81. Chen E, Martin A, Matthews K. Understanding health disparities: the role of race and socioeconomic status in children's health. Am J Public Health. 2006;96 (4):702 –708[Abstract/Free Full Text]

82. van Ryn M, Burke J. The effect of patient race and socio-economic status on physicians' perceptions of patients. Soc Sci Med. 2000;50 (6):813 –828[CrossRef][Web of Science][Medline]

83. Ayanian J, Cleary P, Weissman J, Epstein A. The effect of patients' preferences on racial differences in access to renal transplantation. N Engl J Med. 1999;341 (22):1661 –1669[Abstract/Free Full Text]

84. Chen J, Rathore S, Radfor M, Wang J, Krumholz H. Racial differences in the use of cardiac catheterization after acute myocardial infarction. N Engl J Med. 2001;344 (19):1443 –1449[Abstract/Free Full Text]

85. Cooper L, Roter D, Johnson R, Ford D, Steinwachs D, Powe N. Patient-centered communication, ratings of care, and concordance of patient and physician race. Ann Intern Med. 2003;139 (11):907 –915[Abstract/Free Full Text]

86. Cooper-Patrick L, Gallo J, Gonzales J, et al. Race, gender, and partnership in the patient-physician relationship. JAMA. 1999;282 (6):583 –589[Abstract/Free Full Text]

87. Saha S, Komaromy M, Koepsell T, Bindman A. Patient-physician racial concordance and the perceived quality and use of health care. Arch Intern Med. 1999;159 (9):997 –1004[Abstract/Free Full Text]

88. Wissow L, Larson S, Roter D, et al. Longitudinal care improves disclosure of psychosocial information. Arch Pediatr Adolesc Med. 2003;157 (5):419 –424[Abstract/Free Full Text]

89. Mebane E, Oman R, Kroonen L, Goldstein M. The influence of physician race, age, and gender on physician attitudes toward advance care directives and preferences for end-of-life decision-making. J Am Geriatr Soc. 1999;47 (5):579 –591[Web of Science][Medline]

90. Perkins H, Geppert C, Gonzales A, Cortez J, Hazuda H. Cross-cultural similarities and differences in attitudes about advance care planning. J Gen Intern Med. 2002;17 (1):48 –57[CrossRef][Web of Science][Medline]

91. Kang T, Hoehn K, Licht D, et al. Pediatric palliative, end-of-life, and bereavement care. Pediatr Clin North Am. 2005;52 (4):1029 –1046[CrossRef][Web of Science][Medline]

92. Mack J, Hilden J, Watterson J, et al. Parent and physician perspectives on quality of care at the end of life in children with cancer. J Clin Oncol. 2005;23 (36):9155 –9161[Abstract/Free Full Text]

93. Meyer E, Ritholz M, Burns J, Truog R. Improving the quality of end-of-life care in the pediatric intensive care unit: parents' priorities and recommendations. Pediatrics. 2006;117 (3):649 –657[Abstract/Free Full Text]

94. Pierucci R, Kirby R, Leuthner S. End-of-life care for neonates and infants: the experience and effects of a palliative care consultation service. Pediatrics. 2001;108 (3):653 –660[Abstract/Free Full Text]

95. Tan G, Totapally B, Torbati D, Wolfsdorf J. End-of-life decisions and palliative care in a children's hospital. J Palliat Med. 2006;9 (2):332 –342[CrossRef][Web of Science][Medline]

96. Cort M. Cultural mistrust and use of hospice care: challenges and remedies. J Palliat Med. 2004;7 (1):63 –71[CrossRef][Medline]

97. Gamble V. Under the shadow of Tuskegee: African Americans and health care. Am J Public Health. 1997;87 (11):1773 –1778[Abstract/Free Full Text]

98. Goold S, Klipp G. Managed care members talk about trust. Soc Sci Med. 2002;54 (6):879 –888[CrossRef][Web of Science][Medline]

99. Halbert C, Armstrong K, Gandy O, Shaker L. Racial differences in trust in health care providers. Arch Intern Med. 2006;166 (8):896 –901[Abstract/Free Full Text]

100. Doescher M, Saver B, Franks P, Fiscella K. Racial and ethnic disparities in perceptions of physician style and trust. Arch Fam Med. 2000;9 (10):1156 –1163[Abstract/Free Full Text]

101. Boulware L, Cooper L, Ratner L, LaVeist T, Powe N. Race and trust in the health care system. Public Health Rep. 2003;118 (4):358 –365[Web of Science][Medline]

102. Sheldon A, Ryser C, Krant M. An integrated family oriented cancer care program: the report of a pilot project in the socio-emotional management of chronic disease. J Chronic Dis. 1970;22 (11):743 –755[CrossRef][Web of Science][Medline]

103. Singer P, Martin D, Kelner M. Quality end-of-life care: patients' perspectives. JAMA. 1999;281 (2):163 –168[Abstract/Free Full Text]

104. Volker DL. Control and end-of-life care: does ethnicity matter? Am J Hosp Palliat Care. 2005;22 (6):442 –446[Abstract/Free Full Text]

105. Anderson K, Richman S, Hurley J, et al. Cancer pain management among underserved minority outpatients: perceived needs and barriers to optimal control. Cancer. 2002;94 (8):2295 –2304[CrossRef][Web of Science][Medline]

106. Edwards C, Fillingim R, Keefe F. Race, ethnicity and pain. Pain. 2001;94 (2):133 –137[CrossRef][Web of Science][Medline]

107. Edwards R, Moric M, Husfeldt B, Buvanendran A, Ivankovich O. Ethnic similarities and differences in the chronic pain experience: a comparison of African American, Hispanic, and white patients. Pain Med. 2005;6 (1):88 –98[CrossRef][Web of Science][Medline]

108. Rabow M, Dibble S. Ethnic differences in pain among outpatients with terminal and end-stage chronic illness. Pain Med. 2005;6 (3):235 –241[CrossRef][Web of Science][Medline]

109. Vallerand A, Hasenau S, Templin T, Collins-Bohler D. Disparities between black and white patients with cancer pain: the effect of perception of control over pain. Pain Med. 2005;6 (3):242 –250[CrossRef][Web of Science][Medline]

110. Bandura A. Exercise of human agency through collective efficacy. Curr Dir Psychol Sci. 2000;9 :75 –78[CrossRef]

111. Edwards R, Telfair J, Cecil H, Lenochi J. Self-efficacy as a predictor of adult adjustment to sickle cell disease: one-year outcomes. Psychosom Med. 2001;63 (5):850 –858[Abstract/Free Full Text]

112. Harrison M, Edwards C, Koenig H, Bosworth H, Decastro L, Wood M. Religiosity/spirituality and pain in patients with sickle cell disease. J Nerv Ment Dis. 2005;193 (4):250 –257[CrossRef][Web of Science][Medline]

113. Lorenz K, Hays R, Shapiro M, Cleary P, Asch S, Wenger N. Religiousness and spirituality among HIV-infected Americans. J Palliat Med. 2005;8 (4):774 –781[CrossRef][Medline]

114. Reese D, Ahern R, Nair S, O'Faire J, Warren C. Hospice access and use by African Americans: addressing cultural and institutional barriers through participatory action research. Soc Work. 1999;44 (6):549 –559[Web of Science][Medline]

115. True G, Phipps E, Braitman L, Harralson T, Harris D, Tester W. Treatment preferences and advance care planning at end of life: the role of ethnicity and spiritual coping in cancer patients. Ann Behav Med. 2005;30 (2):174 –179[CrossRef][Web of Science][Medline]

116. Levine R, Foster J, Fullilove R, et al. Black-white inequalities in mortality and life expectancy, 1933–1999: implications for Healthy People 2010. Public Health Rep. 2001;116 (5):474 –483[Web of Science][Medline]

117. Diez Roux AV. Integrating social and biologic factors in health research: a systems view. Ann Epidemiol. 2007;17 (7):569 –574[CrossRef][Web of Science][Medline]

118. Diez-Roux AV. Multilevel analysis in public health research. Annu Rev Public Health. 2000;21 :171 –192[CrossRef][Web of Science][Medline]

119. Diez Roux AV. The study of group-level factors in epidemiology: rethinking variables, study designs, and analytical approaches. Epidemiol Rev. 2004;26 :104 –111[Free Full Text]

120. Carroll JM, Santucci G, Kang TI, Feudtner C. Partners in pediatric palliative care: a program to enhance collaboration between hospital and community palliative care services. Am J Hosp Palliat Care. 2007;24 (3):191 –195[Abstract/Free Full Text]

121. Murtagh F, Thorns A. Evaluation and ethical review of a tool to explore patient preferences for information and involvement in decision making. J Med Ethics. 2006;32 (6):311 –315[Abstract/Free Full Text]


PEDIATRICS (ISSN 1098-4275). ©2008 by the American Academy of Pediatrics

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Linton, J. M.
Right arrow Articles by Feudtner, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Linton, J. M.
Right arrow Articles by Feudtner, C.
Related Collections
Right arrow Office Practice
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?