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  1. Article ; Online: Pediatric Research ECI highlight: Matthew S. Pantell.

    Pantell, Matthew S

    Pediatric research

    2024  

    Language English
    Publishing date 2024-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 4411-8
    ISSN 1530-0447 ; 0031-3998
    ISSN (online) 1530-0447
    ISSN 0031-3998
    DOI 10.1038/s41390-024-03214-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Elevating Parents' Voices in Designing and Implementing Pediatric Inpatient Social Care Systems.

    Leary, Jana C / Pantell, Matthew / Garg, Arvin

    Hospital pediatrics

    2023  Volume 13, Issue 8, Page(s) e213–e215

    MeSH term(s) Child ; Humans ; Caregivers ; Inpatients ; Urban Population ; Parents ; Social Support ; Hospitals
    Language English
    Publishing date 2023-07-21
    Publishing country United States
    Document type Editorial ; Comment
    ISSN 2154-1671
    ISSN (online) 2154-1671
    DOI 10.1542/hpeds.2023-007326
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Subspecialty Pediatrics: An Unmet Opportunity to Address Unmet Social Risks.

    Wadhwani, Sharad I / Pantell, Matthew S / Winestone, Lena E

    Academic pediatrics

    2023  Volume 24, Issue 2, Page(s) 204–207

    MeSH term(s) Humans ; Child ; Referral and Consultation ; Specialization
    Language English
    Publishing date 2023-07-26
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2483385-X
    ISSN 1876-2867 ; 1876-2859
    ISSN (online) 1876-2867
    ISSN 1876-2859
    DOI 10.1016/j.acap.2023.07.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks.

    Iott, Bradley E / Rivas, Samantha / Gottlieb, Laura M / Adler-Milstein, Julia / Pantell, Matthew S

    Journal of the American Medical Informatics Association : JAMIA

    2024  Volume 31, Issue 3, Page(s) 714–719

    Abstract: Objectives: National attention has focused on increasing clinicians' responsiveness to the social determinants of health, for example, food security. A key step toward designing responsive interventions includes ensuring that information about patients' ...

    Abstract Objectives: National attention has focused on increasing clinicians' responsiveness to the social determinants of health, for example, food security. A key step toward designing responsive interventions includes ensuring that information about patients' social circumstances is captured in the electronic health record (EHR). While prior work has assessed levels of EHR "social risk" documentation, the extent to which documentation represents the true prevalence of social risk is unknown. While no gold standard exists to definitively characterize social risks in clinical populations, here we used the best available proxy: social risks reported by patient survey.
    Materials and methods: We compared survey results to respondents' EHR social risk documentation (clinical free-text notes and International Statistical Classification of Diseases and Related Health Problems [ICD-10] codes).
    Results: Surveys indicated much higher rates of social risk (8.2%-40.9%) than found in structured (0%-2.0%) or unstructured (0%-0.2%) documentation.
    Discussion: Ideally, new care standards that include incentives to screen for social risk will increase the use of documentation tools and clinical teams' awareness of and interventions related to social adversity, while balancing potential screening and documentation burden on clinicians and patients.
    Conclusion: EHR documentation of social risk factors currently underestimates their prevalence.
    MeSH term(s) Humans ; Electronic Health Records ; Self Report ; Documentation/methods ; Prevalence ; Risk Factors
    Language English
    Publishing date 2024-01-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocad261
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  5. Article ; Online: Socioeconomic Factors Are Associated With Severity of Hospitalization in Pediatric Lupus: An Analysis of the 2016 Kids' Inpatient Database.

    Soulsby, William Daniel / Lawson, Erica / Okumura, Megumi / Pantell, Matthew S

    Arthritis care & research

    2023  Volume 75, Issue 10, Page(s) 2073–2081

    Abstract: Objective: Health disparities in adult lupus, including higher disease severity and activity among those in poverty, have been identified. Similar associations in pediatric lupus have not been clearly established. This study was undertaken to ... ...

    Abstract Objective: Health disparities in adult lupus, including higher disease severity and activity among those in poverty, have been identified. Similar associations in pediatric lupus have not been clearly established. This study was undertaken to investigate the relationship of income level and other socioeconomic factors with length of stay (LOS) in the hospital and severe lupus features using the 2016 Kids' Inpatient Database (KID).
    Methods: Lupus hospitalizations were identified in children ages 2-20 years in the 2016 KID using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes (M32). Univariate and multivariate negative binomial regression analyses were used to analyze the association of income level, race and ethnicity, and insurance status with LOS in the hospital. Univariate and multivariate logistic regression analyses were used to analyze the association of the same predictors with the presence of severe lupus features, defined using ICD-10 codes associated with lupus sequelae (e.g., lupus nephritis).
    Results: A total of 3,367 unweighted (4,650 weighted) lupus hospitalizations were identified. Income level was found to be a statistically significant predictor of increased LOS in the hospital for those in the lowest income quartile (adjusted incidence rate ratio 1.12 [95% confidence interval (95% CI) 1.02-1.23]). Black race, "other" race, and public insurance were also associated with severe lupus features (adjusted odds ratio [OR
    Conclusion: Using a nationally representative data set, income level was found to be a statistically significant predictor of LOS in the hospital among those with the lowest reported income, highlighting a potential target population for intervention. Additionally, Black race and public insurance were associated with severe lupus features.
    MeSH term(s) Adult ; Child ; Humans ; United States/epidemiology ; Inpatients ; Hospitalization ; Length of Stay ; Socioeconomic Factors ; Ethnicity
    Language English
    Publishing date 2023-04-27
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 645059-3
    ISSN 2151-4658 ; 0893-7524 ; 2151-464X
    ISSN (online) 2151-4658
    ISSN 0893-7524 ; 2151-464X
    DOI 10.1002/acr.25121
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  6. Article ; Online: Hospital Characteristics Associated With Social Needs Activities in the US.

    Sandhu, Sahil / Liu, Michael / Gottlieb, Laura M / Pantell, Matthew S

    JAMA

    2023  Volume 330, Issue 23, Page(s) 2299–2302

    MeSH term(s) Health Care Reform ; Hospitals/classification ; Hospitals/statistics & numerical data ; Prospective Payment System ; United States/epidemiology ; Health Services Needs and Demand/statistics & numerical data
    Language English
    Publishing date 2023-11-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2023.20358
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  7. Article ; Online: Cumulative Social Disadvantage Associated with Childhood Arthritis: A Cross-Sectional Analysis of the National Survey of Children's Health.

    Soulsby, William Daniel / Lawson, Erica / Pantell, Matthew S

    Arthritis care & research

    2022  Volume 75, Issue 1, Page(s) 3–8

    Abstract: Objective: Health disparities in juvenile idiopathic arthritis (JIA) remain poorly understood. Social disadvantage may have a cumulative impact on health, with recent analyses using combined scoring systems to measure their impact on outcomes. Our aim ... ...

    Abstract Objective: Health disparities in juvenile idiopathic arthritis (JIA) remain poorly understood. Social disadvantage may have a cumulative impact on health, with recent analyses using combined scoring systems to measure their impact on outcomes. Our aim was to investigate cumulative social disadvantage on childhood arthritis by using a cumulative score to analyze its association with arthritis among a nationally representative sample of children.
    Methods: A cross-sectional analysis of the National Survey of Children's Health (2016-2019) was performed. A cumulative social disadvantage score was generated (1 point each, with a maximum score of 4): low guardian education (high school or less), low household income level (0-199% of federal poverty level), underinsured status (public or uninsured), and high adverse childhood experience (ACE) score (≥4). Univariate and multivariable (adjusting for age, sex, and race and ethnicity) logistic regression models were used to measure the association between cumulative social risk and the odds of an arthritis diagnosis and moderate-to-severe parent-reported arthritis severity.
    Results: Of 131,774 surveys completed, a total of 365 children reported current arthritis. Cumulative social disadvantage was associated with an arthritis diagnosis, with the highest odds among those with a score of 4 (adjusted odds ratio [OR
    Conclusion: In this nationally representative sample, accumulated social disadvantage, measured via a cumulative social disadvantage score based on income level, guardian education, insurance status, and ACE exposure, was associated with an arthritis diagnosis and moderate-to-severe arthritis severity.
    MeSH term(s) Child ; Humans ; Arthritis, Juvenile/diagnosis ; Arthritis, Juvenile/epidemiology ; Cross-Sectional Studies ; Child Health ; Risk Factors ; Poverty
    Language English
    Publishing date 2022-09-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 645059-3
    ISSN 2151-4658 ; 0893-7524 ; 2151-464X
    ISSN (online) 2151-4658
    ISSN 0893-7524 ; 2151-464X
    DOI 10.1002/acr.24991
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  8. Article ; Online: Social Risk Factor Documentation in Emergency Departments.

    Molina, Melanie F / Pantell, Matthew S / Gottlieb, Laura M

    Annals of emergency medicine

    2022  Volume 81, Issue 1, Page(s) 38–46

    Abstract: Study objective: Social Z codes are International Classification of Diseases, Tenth Revision, Clinical Modification codes that provide one way of documenting social risk factors in electronic health records. Despite the utility and availability of these ...

    Abstract Study objective: Social Z codes are International Classification of Diseases, Tenth Revision, Clinical Modification codes that provide one way of documenting social risk factors in electronic health records. Despite the utility and availability of these codes, no study has examined social Z code documentation prevalence in emergency department (ED) settings.
    Methods: In this descriptive, cross-sectional study of all ED visits included in the 2018 Nationwide Emergency Department Sample, we estimated the prevalence of social Z code documentation and used logistic regression to examine the association between documentation and patient and hospital characteristics.
    Results: Of more than 35.8 million adult and pediatric ED visits, there was a 1.21% weighted prevalence (n=452,499) of at least 1 documented social Z code. Social Z codes were significantly more likely to be documented in ED visits among patients aged 35 to 64 compared to patients aged 18 to 34 (18.6/1000 [16.9 to 20.4] versus 12.7/1000 [11.5 to 14.0], odds ratio (OR) 1.47 [1.42 to 1.53]), male patients (16.6/1000 [15.1 to 18.2] versus female 8.5/1000 [7.8 to 9.2], OR 1.97 [1.89 to 2.06]), patients with Medicaid compared to patients with private insurance (15.9/1000 [14.4 to 17.6] versus (6.6/1000 [6.0 to 7.2], OR 2.45 [1.30 to 1.63]), and patients who had a Charlson Comorbidity Index≥1 compared to those with a Charlson Comorbidity Index of 0 (ranges 15.0 to 16.6/1000 versus 10.6/1000 [9.6 to 11.7], ORs ranging 1.43 to 1.58). ED visits with a primary diagnosis of mental, behavioral, and neurodevelopmental illness had the strongest positive association with social Z code documentation (85.6/1000 [78.4 to 93.4], OR 10.75 [9.88 to 11.70]) compared to ED visits without this primary diagnosis.
    Conclusion: We found a very low prevalence of social Z code documentation in ED visits nationwide. More systematic social Z code documentation could support targeted social interventions, social risk payment adjustments, and future policy reforms.
    MeSH term(s) Adult ; Child ; United States/epidemiology ; Humans ; Male ; Female ; Cross-Sectional Studies ; Medicaid ; Emergency Service, Hospital ; International Classification of Diseases ; Risk Factors
    Language English
    Publishing date 2022-10-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603080-4
    ISSN 1097-6760 ; 0196-0644
    ISSN (online) 1097-6760
    ISSN 0196-0644
    DOI 10.1016/j.annemergmed.2022.07.027
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  9. Article ; Online: Differences in the prevalence of childhood adversity by geography in the 2017-18 National Survey of Children's Health.

    Calthorpe, Lucia M / Pantell, Matthew S

    Child abuse & neglect

    2020  Volume 111, Page(s) 104804

    Abstract: Background: Previous efforts to examine differences in adverse childhood experiences (ACEs) exposure by geography have yielded mixed results, and have not distinguished between urban, suburban, and rural areas. Additionally, few studies to date have ... ...

    Abstract Background: Previous efforts to examine differences in adverse childhood experiences (ACEs) exposure by geography have yielded mixed results, and have not distinguished between urban, suburban, and rural areas. Additionally, few studies to date have considered the potentially moderating role of geography on the relationship between ACEs and health outcomes.
    Objective: To examine differences in exposure to ACEs by geography, and determine whether geography moderates the relationship between ACE exposure and health outcomes (overall health, asthma, attention deficit hyperactivity disorder (ADHD), and special health care needs).
    Participants and setting: The cross-sectional 2017-18 National Survey of Children's Health (NSCH).
    Methods: Distributions of individual and cumulative ACEs by geography (urban, suburban, rural) were compared using chi-squared tests. Logistic regression was used to determine the association between geography and exposure to 4 + ACEs, and to explore whether the relationship between ACEs and health outcomes varied by geography, adjusting for sociodemographic covariates.
    Results: Adjusting for covariates, rural residency was associated with 1.29 times increased odds of exposure to 4 + ACEs (95 % CI: 1.00, 1.66) compared to suburban residency. Statistically significant evidence for an interaction between geography and ACE exposure on overall health was not observed, but urban status was observed to increase the association between ACEs and asthma.
    Conclusions: This analysis demonstrates a higher ACE burden in rural compared to suburban children. These findings underscore the importance of ACE screening and suggest investment of healthcare resources in the historically underserved rural population.
    MeSH term(s) Adolescent ; Adverse Childhood Experiences/statistics & numerical data ; Adverse Childhood Experiences/trends ; Attention Deficit Disorder with Hyperactivity/epidemiology ; Child ; Child Health ; Child, Preschool ; Cross-Sectional Studies ; Female ; Geography, Medical ; Health Surveys ; Humans ; Infant ; Infant, Newborn ; Logistic Models ; Male ; Prevalence ; Rural Population/statistics & numerical data
    Language English
    Publishing date 2020-11-18
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 799143-5
    ISSN 1873-7757 ; 0145-2134
    ISSN (online) 1873-7757
    ISSN 0145-2134
    DOI 10.1016/j.chiabu.2020.104804
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  10. Article ; Online: High-risk Behavior Screening and Interventions in Hospitalized Adolescents.

    Pfaff, Nora / Pantell, Matthew S / Kaiser, Sunitha V

    Hospital pediatrics

    2021  Volume 11, Issue 3, Page(s) 293–297

    Abstract: Background and objectives: Risky behaviors are the main threats to adolescents' health. Consequently, guidelines recommend adolescents be screened annually for high-risk behaviors. Our objectives were to (1) determine rates of physician-documented risk ... ...

    Abstract Background and objectives: Risky behaviors are the main threats to adolescents' health. Consequently, guidelines recommend adolescents be screened annually for high-risk behaviors. Our objectives were to (1) determine rates of physician-documented risk behavior screening of hospitalized adolescents, (2) determine rates of positive screening results, and (3) evaluate associations between risk behavior screening and provision of risk behavior-related health care interventions.
    Methods: We conducted a cross-sectional study of patients aged 12 to 24 years admitted to the pediatric hospital medicine service at an urban tertiary children's hospital from January to December 2018. Exclusion criteria were transfer to a different service, nonverbal status, or altered mental status. We reviewed 20 charts per month. Outcomes included (1) documentation of risk behavior screening (mood, sexual activity, substance use, abuse and/or violence, and suicidal ideation), and (2) risk behavior-related health care interventions (eg, testing for sexually transmitted infections). We determined associations between screening and risk behavior-related interventions using χ
    Results: We found that 38% (90 of 240) of adolescents had any documented risk behavior screening, 15% (37 of 240) had screening in 4 of 5 risk behavior domains, and 2% (5 of 240) had screening in all 5 domains. The majority of screened adolescents had a positive screening result (66%), and most with positive results received a risk behavior-related health care intervention (64%-100% across domains). Adolescents with documented screening were significantly more likely to receive a risk behavior-related health care intervention.
    Conclusions: We found low rates of risk behavior screening documentation among hospitalized adolescents. There was a high rate of positive screen results, and those who were documented as screened were more likely to receive risk behavior-related interventions.
    MeSH term(s) Adolescent ; Adolescent, Hospitalized ; Child ; Cross-Sectional Studies ; Humans ; Risk-Taking ; Sexual Behavior ; Sexually Transmitted Diseases
    Language English
    Publishing date 2021-02-10
    Publishing country United States
    Document type Journal Article
    ISSN 2154-1671
    ISSN (online) 2154-1671
    DOI 10.1542/hpeds.2020-001792
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