Chronic monthly transfusions are a lifesaving preventative therapy for many patients with sickle cell disease; however, the burden of this therapy for patients and families is high. In the United States, there is overlap in the population affected by sickle cell disease and those with the greatest burden of social needs. Hematology providers caring for patients with SCD have an opportunity to screen for and mitigate social determinants of health, especially in those receiving chronic transfusion therapy given the frequent interactions with the healthcare system and increased demand on already potentially limited resources. Given the complexity of the treatment and medication regimens, providers caring for patients receiving chronic transfusions should implement universal strategies to minimize the impact of low health literacy, as this therapy imposes a significant demand on the health literacy skills of a family. Despite the social and literacy burden of this intervention, it is reassuring that quality of life is preserved as patients with SCD on chronic transfusion therapy often report higher health related quality of life than their peers receiving other disease modifying therapies.

Learning Objectives

  • Understand the impact of social determinants of health on a chronically transfused population with sickle cell disease, as well as available screening tools.

  • Recognize the role of health literacy in complex medical decision-making and universal communication strategies to improve comprehension in patients of all health literacy levels.

  • Identify health-related quality of life measures that are affected by chronic transfusion therapy.

The patient is a 2 year-old girl with hemoglobin SS. She has been followed in the hematology clinic since birth. She was born at home at an estimated 32 weeks to a 27-year-old G5P5 mother who had limited prenatal care. Her older siblings are all half-siblings and range from 2 to 12 years old. There are no other siblings with sickle cell disease (SCD). The patient has had 1 admission for acute chest syndrome and several admissions for fever and dactylitis. Her mother is unemployed and spends her time caring for her family at home. Her father is not involved in her care. The patient has Medicaid and is enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children. Her mother expressed concern about lead exposure at her 9-month hematology visit, given peeling paint in their home, but she subsequently failed to routinely follow up. Social workers connected with the patient’s mother, who identified transportation as a significant barrier to attending clinic visits. The family received parking vouchers and gas cards but continued to miss appointments because of difficulty finding care for the other children in the home. Unfortunately, no extended family members were available to alleviate that burden, because many worked at the time when clinic was open. After she failed to come for her first transcranial Doppler, the medical team contacted child protective services with concerns about medical neglect.

Many facets of patient health are influenced by factors outside of the hospital or clinic setting. Health is heavily shaped by our families, homes, neighborhoods, and communities. These external factors are referred to as social determinants of health (SDHs), and they affect how patients interact with the health care system. In the United States, SDHs have been prioritized as part of the national health agenda in Healthy People 2020, where the goal is to “create social and physical environments that promote good health for all.”1  The World Health Organization has also prioritized policies and prevention strategies that affect SDHs because 23% of deaths globally can be attributed to factors in the environment.2 

SDHs are very broad and often overlap, but they can be organized into general categories. Healthy People 2020 divides the elements of SDHs into 5 domains: education, social and community context, health and health care, neighborhood and built environment, and economic stability.1  SDHs such as financial stress, food insecurity, and housing instability have all been linked to poor health outcomes and early mortality,3,4  and families often have resource needs across multiple domains.5  Adversity experienced in the home may be categorized as a separate domain, because adverse childhood experiences (ACEs) have been shown to independently shape health outcomes later in life.6  ACEs include exposure to child abuse, childhood neglect, and household dysfunction. They have been linked to health risk behaviors in a variety of cultural and economic settings.7 

Poverty, or low socioeconomic position, underlies many social problems and increases the risk of experiencing ACEs.8  In the United States, where structural inequity and systemic disenfranchisement have led to generational cycles of poverty that disproportionately affect racial and ethnic minorities, patients affected by SCD overlap with those at greatest risk for resource needs.9  In a quality improvement study that implemented universal screening for SDHs in a US pediatric hematology clinic, 156 screens were completed, and 66% were positive for at least one unmet need. On average, families reported 1.2 unmet needs (range 0 to 5), with food insecurity, difficulty paying for utilities, and a desire for more education being the most common.9  Our patient case highlights some of the domains affected at baseline by our patients and families, which may be further taxed upon starting chronic transfusion therapy given the intensity and frequency of therapy. Caregivers lose more days from work, have higher transportation costs, have additional medication costs, and have a high demand for childcare if other siblings cannot come to clinic visits. For pediatric patients, absences from school affect their educational attainment and interactions with peers.

Socioeconomic disparities, such as lack of transportation and inadequate health insurance, have been shown to affect access to comprehensive care for SCD. These factors prevent patients from receiving appropriate and timely screening for the adverse effects of SCD, increasing the medical burden and health care costs of this disease.10  In a post hoc analysis of baseline data from the Silent Cerebral Infarction Transfusion trial, every $10,000 increase in reported household income was associated with 5% fewer annualized emergency room (ER) visits.11  In a national sample of pediatric patients with SCD in the United States, children who visited the ER in the previous year were more likely to live in a household with a single mother; however, other SDHs included in the analysis were not significant predictors of ER use.12  In that study, authors postulate that the generally high burden of social disadvantage among children with SCD may explain their results.

A number of available screening tools for SDHs query elements from a variety of domains. See Table 1 for additional information about SDH screening tools for pediatric patients and families. Implementation of such screening tools can quickly identify the patients and families at highest risk. However, it is unclear which SDH or SDH domain has the greatest influence on patient health outcomes and health care utilization. Also, the critical SDH domain probably varies by country and location, given the differing availability of resources. For example, health care access is more critical in the United States, where universal health care does not exist.

If patients or families declare a need, programs should be prepared to connect families with resources, because it is unethical to screen for SDHs without providing support25 ; however, it is unclear which interventions provide the greatest benefit. For concrete needs, such as food insecurity, referring a family to a food bank may provide immediate assistance. Some needs, such as a desire for more education, may require a broader network of support to be achievable. Additionally, resources vary significantly between locations, so any program attempting to implement a screening tool for SDHs should engage members of community support organizations to review the resources available in their area. In the United States, programs that identify local resources include the United Way (www.211.org) and the EveryONE Project’s Neighborhood Navigator (www.familydoctor.org/NeighborhoodNavigator), sponsored by the American Academy of Family Physicians.

The workflow to implement SDH screening and referral also varies by clinical practice. Some clinics may have an embedded social worker, mental health counselor, or legal representative to provide direct support to patients and families who disclose need. Others clinics will need to develop partnerships with community organizations, maximizing the creation of a “health neighborhood.”25  Some interventions require additional personnel, such as a community navigator, to provide support for families18 ; however, other successful strategies have used minimal contact interventions, such as faxed referrals from clinics directly to community partners.26  How to screen patients and families is also unclear. Some studies show improved reporting with anonymous computer or web-based surveys,17  whereas others have integrated SDH screening directly into the electronic health record.27  If screening tools are to be implemented in a clinical setting, they should be implemented universally to avoid stigma and perceived bias. It is also essential to build on a family’s and community’s strengths and elicit the input of the family as to which resources may provide the most critical benefit.

Many studies on SDH screening tools have focused on implementation outcomes such as how the questions were perceived by patients or families, time spent on the screening or intervention, or quantity of referrals provided. Other studies have assessed the effect of the intervention on SDHs such as employment rates at follow-up or enrollment in social services. Although data on outcomes are mixed, they have generally yielded positive effects, and screening and interventions are acceptable to patients and families. However, few studies have quantified the impact of SDH screening and interventions on health outcomes and health care utilization.28 

The patient’s initial transcranial Doppler was abnormal, and she was started on monthly chronic transfusions to reduce her risk of stroke. After several months, the patient is prescribed chelation therapy with written steps for connecting with the specialty pharmacy; however, at subsequent transfusion visits, the patient’s mother reports that she has not received the medication. The team provides verbal education about iron overload; however, several months pass without the child receiving chelation, and her ferritin continues to rise. At visits, the patient’s mother understands that she is supposed to start the medication, but she is unable to articulate why she needs the medication or how to set up delivery.

Given the difficulty obtaining the medication, the team became concerned about the family’s health literacy, which is another factor that has been postulated to be a mediator of health disparities. Health literacy is “the degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions.”29  In the United States, risk factors for low health literacy include low socioeconomic status, racial and ethnic minority status, lower educational attainment, poor English proficiency, older age, and birth outside the country.30,31  It is estimated that 28% of parents in the United States have limited health literacy.31  Among parents of children with SCD, low health literacy has been associated with lower disease-specific knowledge, although it was not associated with increased health care utilization, such as hospitalizations or ER visits.32 

The greater the complexity of the tasks and decisions being placed before families, the greater the need for thorough understanding and comprehension, so adequacy of health literacy relies not only on the patients and families but also on the health care situation at hand. For patients with SCD receiving chronic transfusions, even those with the highest personal levels of health literacy may have difficulty with comprehension and decision making given the complex nature of the illness, the need to weigh multiple potential risks to the patient, and the many tasks set before them. In a cross-sectional study of health literacy among adult caregivers of children receiving chronic transfusion therapy and adolescents with SCD personally receiving chronic transfusion therapy, 34% of caregivers and 69% of adolescents had inadequate health literacy based on standardized testing, and low health literacy was associated with lower disease-specific knowledge. Knowledge scores for caregivers were weakly correlated with community-level median income and unemployment rates but not with insurance payor status.33  The greatest gaps in disease-specific knowledge among those caring for or receiving chronic transfusion therapy were in questions related to red blood cell alloimmunization status and risks, the availability of curative treatments for SCD, and personal indications for receiving chronic transfusion therapy, indicating opportunities for improvement.33 

One web-based decision tool that has been developed for patients with SCD considering chronic transfusion therapy or other therapeutic options is available at www.sickleoptions.org. It provides information, personal stories, and additional references as a decision aid for patients, using strategies that have been shown to overcome low health literacy. It is written at a ≤5th grade reading level and maximizes the use of graphics to improve understanding. In a randomized controlled trial, it was highly acceptable to patients and easy to use. Compared with patients who did not receive the additional decision supports, those who did had greater decisional self-efficacy, less decisional conflict, and better preparation for decision making.34 

A number of validated tools are used to assess domains of health literacy, including disease-specific literacy. See Table 2 for additional information on a sample of commonly used health literacy screening and assessment tools. Additional resources are available through the Health Literacy Toolshed, available at https://healthliteracy.bu.edu/. The majority of these tools are intended for adults or adult caregivers; however, some tools have been validated for use in children and adolescents.

Simplifying the information, using plain language, and limiting the amount of information to 3 key messages at a time are evidence-based strategies that allow families to better comprehend the critical elements being conveyed to them.43  If time allows, having patients demonstrate skills or teach back to the provider the instructions for medication or care are additional methods shown to improve comprehension and health-related outcomes. Information delivered via multiple different modalities, such as text, pictures, or video, and information that can be reviewed after the office visit have also been shown to improve understanding.43 

It is incumbent on the whole health care system to improve communication in ways that overcome low health literacy and make it easier for all patients to navigate, understand, and interpret information relevant to their health and the health of their children.43  Providers caring for patients with SCD should improve communication strategies on general topics critical for decision making and ensure that they are universally available. For patients on chronic transfusion therapy, providers should capitalize on the frequent encounters to teach and engage patients directly about their personal condition and complications so that patients can be empowered decision makers in the future.

The team implemented several teaching strategies, including limiting each education session to 3 critical points and providing written materials, to convey the risks of iron overload. The written information on how to set up medication delivery from the specialty pharmacy was enhanced to include specific contact numbers and expected timelines for when to hear back, as well as whom to call if medications were not delivered. Additionally, a case manager was available to reinforce that education, coordinate appointment scheduling, send reminders for medication refills and appointments, and ensure that any medications requiring prior authorizations were up to date. The patient has now been receiving regular transfusions for >18 months, and her ferritin is in the goal range. Her mother reports that the patient is “doing great.” She has not had any admissions since she started on transfusion therapy. Her mother has regularly scheduled childcare for her other children during transfusion visits because those can be planned in advance.

For patients with chronic illnesses, improved quality of life is arguably the most important result of any therapy; however, historically, this measure has been overlooked as an outcome. As greater emphasis has been placed on patient-reported health-related quality of life (HRQOL), generic and disease-specific measures of HRQOL have been developed and validated to measure the influence of health on functional domains, such as physical quality of life (QOL), mental QOL, fatigue, pain, social engagement, relationships, and emotional distress. Unfortunately, adult and pediatric patients with SCD report lower HRQOL in nearly every domain compared with unaffected peers, especially in the areas of pain, fatigue, and physical functioning.44  Female gender, older age, pain, socioeconomic factors such as insurance type, negative perceptions of SCD, and poor adherence to hydroxyurea increase the risk of lower reported HRQOL for patients with SCD.45-50  See Table 3 for examples of HRQOL measurement tools used for pediatric patients with SCD.

Qualitative surveys have identified QOL domains that specifically affect pediatric patients receiving chronic transfusion therapy. These domains include physical and psychological aspects of pain, the positive and negative influence of chronic transfusion therapy on school and academics, fear of having a stroke, and an awareness of their disease burden and how it is influenced by their transfusion therapy.57  However, as exemplified by the patient case, pediatric patients receiving chronic transfusion therapy appear to have better HRQOL than others with SCD, despite the burdens of the treatment. As part of the Silent Cerebral Infarction Transfusion trial, parents completed a QOL questionnaire, the Child Health Questionnaire Parent Form 50, at baseline before randomization, and at the child’s last visit on the trial (36 months) or at the time of acute neurological event. There were no differences in baseline QOL scores, but at completion of the study, parents of patients on chronic transfusion therapy reported improved QOL in the domains of physical functioning, decreased pain, and improved overall health. In addition, the scores of those receiving transfusion therapy improved by a greater degree over time, reflecting improved perceptions of general health, physical functioning, and health compared with the year before.58 

Using a self-reporting tool, the Pediatric Quality of Life Sickle Cell Disease module (PedsQL SCD), pediatric patients receiving chronic transfusion therapy reported less pain and fewer effects from pain on functioning when compared with peers. Overall scores of HRQOL were significantly higher among patients on chronic transfusion therapy than among those with SCD classified as having severe disease, and patients on chronic transfusions reported significantly less pain than peers classified as having both severe or mild disease. Importantly, a higher proportion of patients receiving chronic transfusion therapy scored at a level consistent with “high functioning” in the domains of pain and pain-related functioning, reflecting the improved clinical effect of chronic transfusions.59  Despite the barriers and challenges to chronic transfusion therapy, HRQOL appears to be improved among pediatric patients who receive this life-saving treatment.

Because the majority of patients with SCD in the United States are of African descent, cultural and racial barriers to care exist. SDHs and health literacy are mediators of health disparities that unjustly burden patients with SCD. Providers should be aware of the stigma that patients with SCD face and work to mitigate systemic disadvantages through resources offered to patients and through greater advocacy and policy efforts at the national level. The effects of SDH on health care utilization, disease burden, and mortality are high. For many pediatric patients with SCD, their hematologist becomes their medical home. For those on chronic transfusion therapy, the intensity of treatment may increase the burdens on an already stretched network of resources. But regular and frequent interactions with the health care system are opportunities to identify needs and refer patients and families for support. At initiation of chronic transfusion therapy, providers should screen for SDHs. More research is needed to identify ideal screening strategies, but screening tools as brief as 2 questions can predict who is at highest risk of unmet needs across multiple domains.5  Resources should be identified before implementation of screening, so that if a family screens positive, they can receive support right away. The approach to screening and referral must be tailored to the resources available, workflow in clinic, and population served, but rescreening should be planned at regular intervals because SDHs vary with time and circumstances. More research is needed to determine which interventions have the greatest impact on health outcomes; however, for the individual patient or family, asking about and providing resources for an unmet need not only builds trust in the medical team but may serve as an entry point for families to access additional support. Ideally, a multidisciplinary team that includes social work, case management, nursing, and psychology should collaborate to engage and support patients and families to achieve the best health outcomes. Clinics should adopt general strategies to overcome low health literacy in all communications with families, and implementation should be universal and culturally sensitive. Despite the many challenges posed by chronic transfusion therapy, patient QOL appears to be improved.

1.
US Department of Health and Human Services, Office of Disease Prevention and Health Promotion
.
Healthy People 2020
.
2010
; www.healthypeople.gov
. Accessed May 26, 2020
.
2.
World Health Organization
.
Public health, environmental and social determinants of health
.
2020
; https://www.who.int/phe/en/
. Accessed May 26, 2020
.
3.
Weitzman
M
,
Baten
A
,
Rosenthal
DG
,
Hoshino
R
,
Tohn
E
,
Jacobs
DE
.
Housing and child health
.
Curr Probl Pediatr Adolesc Health Care
.
2013
;
43
(
8
):
187
-
224
.
4.
Men
F
,
Gundersen
C
,
Urquia
ML
,
Tarasuk
V
.
Association between household food insecurity and mortality in Canada: a population-based retrospective cohort study
.
CMAJ
.
2020
;
192
(
3
):
E53
-
E60
.
5.
Baer
TE
,
Scherer
EA
,
Fleegler
EW
,
Hassan
A
.
Food insecurity and the burden of health-related social problems in an urban youth population
.
J Adolesc Health
.
2015
;
57
(
6
):
601
-
607
.
6.
Hughes
K
,
Bellis
MA
,
Hardcastle
KA
, et al
.
The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis
.
Lancet Public Health
.
2017
;
2
(
8
):
e356
-
e366
.
7.
Ramiro
LS
,
Madrid
BJ
,
Brown
DW
.
Adverse childhood experiences (ACE) and health-risk behaviors among adults in a developing country setting
.
Child Abuse Negl
.
2010
;
34
(
11
):
842
-
855
.
8.
Walsh
D
,
McCartney
G
,
Smith
M
,
Armour
G
.
Relationship between childhood socioeconomic position and adverse childhood experiences (ACEs): a systematic review
.
J Epidemiol Community Health
.
2019
;
73
(
12
):
1087
-
1093
.
9.
Power-Hays
A
,
Li
S
,
Mensah
A
,
Sobota
A
.
Universal screening for social determinants of health in pediatric sickle cell disease: a quality-improvement initiative
.
Pediatr Blood Cancer
.
2020
;
67
(
1
):
e28006
.
10.
Yang
YM
,
Shah
AK
,
Watson
M
,
Mankad
VN
.
Comparison of costs to the health sector of comprehensive and episodic health care for sickle cell disease patients
.
Public Health Rep
.
1995
;
110
(
1
):
80
-
86
.
11.
Glassberg
JA
,
Wang
J
,
Cohen
R
,
Richardson
LD
,
DeBaun
MR
.
Risk factors for increased ED utilization in a multinational cohort of children with sickle cell disease
.
Acad Emerg Med
.
2012
;
19
(
6
):
664
-
672
.
12.
Cortright
L
,
Buckman
C
,
Tumin
D
,
Holder
D
,
Leonard
S
.
Social determinants of health and emergency department use among children with sickle cell disease
.
J Pediatr Hematol Oncol
.
2020
;
42
(
1
):
e42
-
e45
.
13.
Dubowitz
H
,
Feigelman
S
,
Lane
W
,
Kim
J
.
Pediatric primary care to help prevent child maltreatment: the Safe Environment for Every Kid (SEEK) Model
.
Pediatrics
.
2009
;
123
(
3
):
858
-
864
.
14.
Eismann
EA
,
Theuerling
J
,
Maguire
S
,
Hente
EA
,
Shapiro
RA
.
Integration of the Safe Environment for Every Kid (SEEK) model across primary care settings
.
Clin Pediatr (Phila)
.
2019
;
58
(
2
):
166
-
176
.
15.
Hensley
CJA
,
Shah
S
,
O’Dea
C
,
Carameli
K
.
Addressing social determinants of health at a federally qualified health center
.
Int Public Health J
.
2017
;
9
(
2
):
189
-
198
.
16.
Fleegler
EW
,
Lieu
TA
,
Wise
PH
,
Muret-Wagstaff
S
.
Families’ health-related social problems and missed referral opportunities
.
Pediatrics
.
2007
;
119
(
6
):
e1332
-
e1341
.
17.
Gottlieb
L
,
Hessler
D
,
Long
D
,
Amaya
A
,
Adler
N
.
A randomized trial on screening for social determinants of health: the iScreen study
.
Pediatrics
.
2014
;
134
(
6
):
e1611
-
e1618
.
18.
Gottlieb
LM
,
Hessler
D
,
Long
D
, et al
.
Effects of social needs screening and in-person service navigation on child health: a randomized clinical trial
.
JAMA Pediatr
.
2016
;
170
(
11
):
e162521
.
19.
Selvaraj
K
,
Ruiz
MJ
,
Aschkenasy
J
, et al
.
Screening for toxic stress risk factors at well-child visits: the Addressing Social Key Questions for Health Study
.
J Pediatr
.
2019
;
205
:
244
-
249 e244
.
20.
Garg
A
,
Butz
AM
,
Dworkin
PH
,
Lewis
RA
,
Thompson
RE
,
Serwint
JR
.
Improving the management of family psychosocial problems at low-income children’s well-child care visits: the WE CARE Project
.
Pediatrics
.
2007
;
120
(
3
):
547
-
558
.
21.
Garg
A
,
Toy
S
,
Tripodis
Y
,
Silverstein
M
,
Freeman
E
.
Addressing social determinants of health at well child care visits: a cluster RCT
.
Pediatrics
.
2015
;
135
(
2
):
e296
-
e304
.
22.
Uwemedimo
OT
,
May
H
.
Disparities in utilization of social determinants of health referrals among children in immigrant families
.
Front Pediatr
.
2018
;
6
:
207
.
23.
Sokol
R
,
Austin
A
,
Chandler
C
, et al
.
Screening children for social determinants of health: a systematic review
.
Pediatrics
.
2019
;
144
(
4
):
e20191622
.
24.
Moen
M
,
Storr
C
,
German
D
,
Friedmann
E
,
Johantgen
M
.
A review of tools to screen for social determinants of health in the United States: a practice brief [published online ahead of print 7 January 2020]
.
Popul Health Manag
.
25.
Garg
A
,
Boynton-Jarrett
R
,
Dworkin
PH
.
Avoiding the unintended consequences of screening for social determinants of health
.
JAMA
.
2016
;
316
(
8
):
813
-
814
.
26.
Hager
K
,
De Kesel Lofthus
A
,
Balan
B
,
Cutts
D
.
Electronic medical record-based referrals to community nutritional assistance for food-insecure patients
.
Ann Fam Med
.
2020
;
18
(
3
):
278
.
27.
Beck
AF
,
Klein
MD
,
Kahn
RS
.
Identifying social risk via a clinical social history embedded in the electronic health record
.
Clin Pediatr (Phila)
.
2012
;
51
(
10
):
972
-
977
.
28.
Gottlieb
LM
,
Wing
H
,
Adler
NE
.
A systematic review of interventions on patients’ social and economic needs
.
Am J Prev Med
.
2017
;
53
(
5
):
719
-
729
.
29.
Nielsen-Bohlman
LPA
,
Hamlin
B
,
Kindig
D
, eds.
Health Literacy: A Prescription to End Confusion
.
Washington, DC
:
National Academies Press
;
2004
.
30.
Paasche-Orlow
MK
,
Parker
RM
,
Gazmararian
JA
,
Nielsen-Bohlman
LT
,
Rudd
RR
.
The prevalence of limited health literacy
.
J Gen Intern Med
.
2005
;
20
(
2
):
175
-
184
.
31.
Yin
HS
,
Johnson
M
,
Mendelsohn
AL
,
Abrams
MA
,
Sanders
LM
,
Dreyer
BP
.
The health literacy of parents in the United States: a nationally representative study
.
Pediatrics
.
2009
;
124
(
suppl 3
):
S289
-
S298
.
32.
Carden
MA
,
Newlin
J
,
Smith
W
,
Sisler
I
.
Health literacy and disease-specific knowledge of caregivers for children with sickle cell disease
.
Pediatr Hematol Oncol
.
2016
;
33
(
2
):
121
-
133
.
33.
Yee
MEM
,
Meyer
EK
,
Fasano
RM
,
Lane
PA
,
Josephson
CD
,
Brega
AG
.
Health literacy and knowledge of chronic transfusion therapy in adolescents with sickle cell disease and caregivers
.
Pediatr Blood Cancer
.
2019
;
66
(
7
):
e27733
.
34.
Krishnamurti
L
,
Ross
D
,
Sinha
C
, et al
.
Comparative effectiveness of a web-based patient decision aid for therapeutic options for sickle cell disease: randomized controlled trial
.
J Med Internet Res
.
2019
;
21
(
12
):
e14462
.
35.
Weiss
BD
,
Mays
MZ
,
Martz
W
, et al
.
Quick assessment of literacy in primary care: the newest vital sign
.
Ann Fam Med
.
2005
;
3
(
6
):
514
-
522
.
36.
Kumar
D
,
Sanders
L
,
Perrin
EM
, et al
.
Parental understanding of infant health information: health literacy, numeracy, and the Parental Health Literacy Activities Test (PHLAT)
.
Acad Pediatr
.
2010
;
10
(
5
):
309
-
316
.
37.
Arozullah
AM
,
Yarnold
PR
,
Bennett
CL
, et al
.
Development and validation of a short-form, rapid estimate of adult literacy in medicine
.
Med Care
.
2007
;
45
(
11
):
1026
-
1033
.
38.
Davis
TC
,
Long
SW
,
Jackson
RH
, et al
.
Rapid estimate of adult literacy in medicine: a shortened screening instrument
.
Fam Med
.
1993
;
25
(
6
):
391
-
395
.
39.
Morris
NS
,
MacLean
CD
,
Chew
LD
,
Littenberg
B
.
The Single Item Literacy Screener: evaluation of a brief instrument to identify limited reading ability
.
BMC Fam Pract
.
2006
;
7
(
1
):
21
.
40.
Parker
RM
,
Baker
DW
,
Williams
MV
,
Nurss
JR
.
The test of functional health literacy in adults: a new instrument for measuring patients’ literacy skills
.
J Gen Intern Med
.
1995
;
10
(
10
):
537
-
541
.
41.
Bann
CM
,
McCormack
LA
,
Berkman
ND
,
Squiers
LB
.
The Health Literacy Skills Instrument: a 10-item short form
.
J Health Commun
.
2012
;
17
(
suppl 3
):
191
-
202
.
42.
Wu
AD
,
Begoray
DL
,
Macdonald
M
, et al
.
Developing and evaluating a relevant and feasible instrument for measuring health literacy of Canadian high school students
.
Health Promot Int
.
2010
;
25
(
4
):
444
-
452
.
43.
Morrison
AK
,
Glick
A
,
Yin
HS
.
Health literacy: implications for child health
.
Pediatr Rev
.
2019
;
40
(
6
):
263
-
277
.
44.
Kato
GJ
,
Piel
FB
,
Reid
CD
, et al
.
Sickle cell disease
.
Nat Rev Dis Primers
.
2018
;
4
(
1
):
18010
.
45.
Badawy
SM
,
Thompson
AA
,
Lai
JS
,
Penedo
FJ
,
Rychlik
K
,
Liem
RI
.
Health-related quality of life and adherence to hydroxyurea in adolescents and young adults with sickle cell disease
.
Pediatr Blood Cancer
.
2017
;
64
(
6
):
e26369
.
46.
Palermo
TM
,
Riley
CA
,
Mitchell
BA
.
Daily functioning and quality of life in children with sickle cell disease pain: relationship with family and neighborhood socioeconomic distress
.
J Pain
.
2008
;
9
(
9
):
833
-
840
.
47.
Palermo
TM
,
Schwartz
L
,
Drotar
D
,
McGowan
K
.
Parental report of health-related quality of life in children with sickle cell disease
.
J Behav Med
.
2002
;
25
(
3
):
269
-
283
.
48.
Panepinto
JA
,
Pajewski
NM
,
Foerster
LM
,
Sabnis
S
,
Hoffmann
RG
.
Impact of family income and sickle cell disease on the health-related quality of life of children
.
Qual Life Res
.
2009
;
18
(
1
):
5
-
13
.
49.
Panepinto
JA
,
Torres
S
,
Bendo
CB
, et al
.
PedsQL™ sickle cell disease module: feasibility, reliability, and validity
.
Pediatr Blood Cancer
.
2013
;
60
(
8
):
1338
-
1344
.
50.
Robinson
MR
,
Daniel
LC
,
O’Hara
EA
,
Szabo
MM
,
Barakat
LP
.
Insurance status as a sociodemographic risk factor for functional outcomes and health-related quality of life among youth with sickle cell disease
.
J Pediatr Hematol Oncol
.
2014
;
36
(
1
):
51
-
56
.
51.
Raat
H
,
Bonsel
GJ
,
Essink-Bot
ML
,
Landgraf
JM
,
Gemke
RJ
.
Reliability and validity of comprehensive health status measures in children: the Child Health Questionnaire in relation to the Health Utilities Index
.
J Clin Epidemiol
.
2002
;
55
(
1
):
67
-
76
.
52.
Panepinto
JA
,
O’Mahar
KM
,
DeBaun
MR
,
Rennie
KM
,
Scott
JP
.
Validity of the child health questionnaire for use in children with sickle cell disease
.
J Pediatr Hematol Oncol
.
2004
;
26
(
9
):
574
-
578
.
53.
Varni
JW
,
Seid
M
,
Kurtin
PS
.
PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations
.
Med Care
.
2001
;
39
(
8
):
800
-
812
.
54.
Dampier
C
,
Barry
V
,
Gross
HE
, et al
.
Initial evaluation of the Pediatric PROMIS® health domains in children and adolescents with sickle cell disease
.
Pediatr Blood Cancer
.
2016
;
63
(
6
):
1031
-
1037
.
55.
Singh
A
,
DasGupta
M
,
Simpson
PM
,
Panepinto
JA
.
Use of the new pediatric PROMIS measures of pain and physical experiences for children with sickle cell disease [published correction appears in Pediatr Blood Cancer 2020;67(2):e28068]
.
Pediatr Blood Cancer
.
2019
;
66
(
5
):
e27633
.
56.
Cella
D
,
Riley
W
,
Stone
A
, et al
;
PROMIS Cooperative Group
.
The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008
.
J Clin Epidemiol
.
2010
;
63
(
11
):
1179
-
1194
.
57.
Stegenga
KA
,
Ward-Smith
P
,
Hinds
PS
,
Routhieaux
JA
,
Woods
GM
.
Quality of life among children with sickle cell disease receiving chronic transfusion therapy
.
J Pediatr Oncol Nurs
.
2004
;
21
(
4
):
207
-
213
.
58.
Beverung
LM
,
Strouse
JJ
,
Hulbert
ML
, et al
;
SIT trial investigators
.
Health-related quality of life in children with sickle cell anemia: impact of blood transfusion therapy
.
Am J Hematol
.
2015
;
90
(
2
):
139
-
143
.
59.
Maxwell
SL
,
Schlenz
AM
,
Kanter
J
.
Health-related quality of life in children with sickle cell disease undergoing chronic red cell transfusion therapy
.
J Pediatr Hematol Oncol
.
2019
;
41
(
4
):
307
-
312
.

Competing Interests

Conflict of interest disclosure: The author has no relevant conflicts of interest.

Author notes

Off-label drug use: None disclosed.

CorrespondenceJennifer Webb, Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010; e-mail: jwebb@childrensnational.org.