Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Content and Outcomes of Social Work Consultation for Patients with Diabetes in Primary Care

Andrew J. Rabovsky, Michael B. Rothberg, Susannah L. Rose, Andrei Brateanu, Lei Kou and Anita D. Misra-Hebert
The Journal of the American Board of Family Medicine January 2017, 30 (1) 35-43; DOI: https://doi.org/10.3122/jabfm.2017.01.160177
Andrew J. Rabovsky
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
BS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael B. Rothberg
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Susannah L. Rose
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
MSSW, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrei Brateanu
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lei Kou
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anita D. Misra-Hebert
From the Case Western Reserve University School of Medicine, Cleveland, OH (AJR); the Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland (MBR, ADM-H); the Department of Bioethics, Cleveland Clinic, Cleveland (SLR); the Department of Internal Medicine, Cleveland Clinic, Cleveland (AB); the Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland (LK, ADM-H); and the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland (MBR, SLR, AB, ADM-H).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1.

    Comparison of Baseline Characteristics of All Patients with Diabetes with a Social Work Consultation in 2014 at Three Primary Care Sites in One Health System vs. a Subgroup of Patients Randomly Selected for Medical Record Abstraction

    Patients with Diabetes with a Social Work Consultation in 2014 (n = 977)* n (%) or Mean (SD)Patients with Diabetes with a Social Work Consultation in 2014 Randomly Selected for Medical Record Abstraction (n = 300)† n (%) or Mean (SD)P Value
    Female sex, n (%)569 (58)194 (65).05
    Race, n (%).16
        Black623 (64)175 (58)
        White316 (32)108 (36)
        Other38 (4)17 (6)
    Insurance type, n (%)1.00
        Medicare510 (52)154 (51)
        Medicaid311 (32)88 (29)
        Commercial75 (8)20 (7)
        Other89 (9)38 (13)
    Age (years), Mean (SD)60.7 (13.6)60.8 (13.3).90
    HbA1c (%), Mean (SD)7.8 (2.2)7.9 (2.1).37
    LDL cholesterol (mg/dL), Mean (SD)97.2 (38.9)96.3 (39.4).76
    SBP (mmHg), Mean (SD)132.9 (20.9)131.5 (18.8).31
    BMI (kg/m2), Mean (SD)33.7 (9.3)34 (9.7).30
    • ↵* Of the 977 patients, 382 were from clinic 1 (urban), 342 were from clinic 2 (urban), and 253 were from clinic 3 (rural). A total of 908 patients had data for glycosylated hemoglobin (HbA1c), 884 patients had data for low-density lipoprotein (LDL) cholesterol, 974 patients had data for systolic blood pressure (SBP), and 958 patients had data for body mass index (BMI).

    • ↵† Of the 300 patients, 100 were from clinic 1 (urban), 100 were from clinic 2 (urban), and 100 were from clinic 3 (rural).

    • BMI, body mass index; HbA1c, glycosylated hemoglobin; LDL, low-density lipoprotein; n, number; SBP, systolic blood pressure; SD, standard deviation.

    • View popup
    Table 2.

    Social Determinants of Health Addressed for 300 Patients Seen by a Social Worker at Three Primary Care Sites in 2014

    SDH Classification Established by Wilkinson and Marmot1Patients for Whom the SDH Was Addressed (N = 300)*Examples from Social Work Note
    Social Gradient: impact of monetary assets, occupational security/level, and housing circumstances200 (67)• Assisted patient in applying for medication assistance program
    • Assisted patient in completing Medicaid application
    • Provided patient information regarding subsidized housing
    • Directed patient to financial assistance program for aid in affording home utilities
    Social Support: impact of reliable emotional and tangible support systems75 (25)• Assessed patient's support system for daily activities
    • Connected patient to home care nursing assistance
    • Discussed with patient their sources of emotional support
    Transport: the means to access the health system and exercise in safe environments43 (14)• Arranged patient's transportation to and from physician appointments via hospital van
    • Assisted patient in completing application for cost-subsidized public transportation
    Psychiatric Issues: need for referral to mental health provider†37 (12)• Referred patient to on-site psychiatrist
    • Referred patient to off-site counselor
    Unemployment: increased risk of premature death14 (5)• Discussed patient's recent unemployment and future employment goals
    • Provided patient information in renewing occupational license
    • Assisted patient in obtaining proof of disability
    Food: access to affordable healthy options12 (4)• Encouraged patient to apply for food stamps
    • Educated patient regarding different home meal services
    Stress: effects of anxiety, insecurity, low self-esteem11 (4)• Briefly discussed patient's stress coping mechanisms
    • Listened to patient describe stress of difficult marriage
    Social Exclusion: effects of discrimination, debilitation, racism, stigmatization8 (3)• Discussed patient's difficulties upon recent release from prison
    • Referred patient struggling with blindness to support center to help increase quality of life
    Addiction: impact of alcohol, nicotine, and drug dependence6 (2)• Discussed different smoking cessation resource options
    • Referred patient to on-site alcohol specialist
    Work: impact of stress at work3 (1)• Provided patient information regarding job retraining opportunities following patient's recent injury
    Early Life: impact of emotional and developmental experiences of childhood and adolescence2 (1)• Discussed how patient was affected by early relationships with family members
    • Discussed patient's journey as an immigrant to this country
    • Data are n (%).

    • ↵* The total of 300 includes 100 patients from each of 3 clinic sites.

    • ↵† Category added to the classification by Wilkinson and Marmot.1

    • SDH, social determinant of health.

    • View popup
    Table 3.

    Measures of Diabetes and Cardiovascular Risk Factor Control for Patients with a Social Work Consultation in 2014 and with Values at Both Baseline and at Least 3-Month Follow-up

    Measures of Diabetes and Cardiovascular Risk Factor ControlPatients with Clinical Values at Baseline and Follow-upBaseline*Follow-up†P Value
    Mean HbA1c (%)5767.87.9.97
    Mean LDL cholesterol (mg/dL)34597.294.3.48
    Mean SBP (mmHg)866132.9133.5.72
    Mean BMI (kg/m2)83933.733.8.69
    • ↵* The last biometric value or test result recorded before the first SW encounter in 2014.

    • ↵† The first biometric value or test result recorded at least 3 months after the first SW encounter in 2014.

    • BMI, body mass index; HbA1c, glycosylated hemoglobin; LDL, low-density lipoprotein; SBP, systolic blood pressure; SW, social work.

    • View popup
    Table 4.

    Measures of Diabetes and Cardiovascular Risk Factor Control at Baseline and at Least 3-Month Follow-up for the Subsets of Patients with Glycosylated Hemoglobin >9%, Low-Density Lipoprotein Cholesterol >130 mg/dL, Systolic Blood Pressure >160 mmHg, or Body Mass Index >30 kg/m2 Before the First social Work Consultation: Intervention Group vs. Comparison Group

    Measures of Diabetes and Cardiovascular Risk Factor ControlMatched Pairs (n)Baseline*Follow-up†Mean Change for Each Patient
    Intervention GroupComparison GroupP ValueIntervention GroupComparison GroupP ValueIntervention GroupComparison GroupP Value
    HbA1c (%)18811.211.1.489.510.0.02−1.5−1.1.03
    LDL cholesterol (mg/dL)125155.9155.5.71121.9134.2.01−37.7−21.3.002
    SBP (mmHg)89175.1173.5.28149.8149.1.80−24.8−25.5.996
    BMI (kg/m2)52339.238.2.1439.037.9.19−0.4−0.3.18
    • ↵* Last biometric value or test result recorded before the first social work (SW) encounter (or dummy visit) in 2014.

    • ↵† First biometric value or test result recorded at least 3 months after the first SW encounter (or dummy visit) in 2014.

    • BMI, body mass index; HbA1c, glycosylated hemoglobin; LDL, low-density lipoprotein; SBP, systolic blood pressure.

    • View popup
    Appendix Table 1:

    Propensity-Matched Groups for Glycosylated Hemoglobin

    VariablesComparison Group (n = 188)Intrevention Group (n = 188)P Value
    Sex, n (%).84
        Female88 (46.8)90 (47.9)
        Male100 (53.2)98 (52.1)
    Race.81
        Black119 (63.3)125 (66.5)
        Other8 (4.3)7 (3.7)
        White61 (32.4)56 (29.8)
    Insurance type, n (%).94
        Private24 (12.8)20 (10.6)
        Medicare82 (43.6)84 (44.7)
        Medicaid74 (39.4)76 (40.4)
        Self-pay8 (4.3)8 (4.3)
    Age (years).89
        Minimum20.623.8
        Q148.148.7
        Median56.456.5
        Q364.164.7
        Maximum87.287.3
        Mean56.156.4
        SD13.912.9
    HbA1c (%).48
        Minimum99
        Q19.79.9
        Median10.710.8
        Q312.112
        Maximum17.217.3
        Mean11.111.2
        SD1.71.7
    Income ($).23
        Minimum11,79211,792
        Q123,16124,312
        Median31,918.535,110
        Q346,47546,475
        Maximum72,01072,010
        Mean34,719.135,877.1
        SD13,734.212,337.8
    • HbA1c, glycosylated hemoglobin; SD, standard deviation.

    • View popup
    Appendix Table 2:

    Propensity-Matched Groups for Body Mass Index

    VariablesComparison Group (n = 523)Intrevention Group (n = 523)P Value
    Sex, n (%).70
        Female321 (61.4)327 (62.5)
        Male202 (38.6)196 (37.5)
    Race, n (%).25
        Black325 (62.1)326 (62.3)
        Other6 (1.1)13 (2.5)
        White192 (36.7)184 (35.2)
    Insurance type, n (%).23
        Private61 (11.7)42 (8)
        Medicare273 (52.2)274 (52.4)
        Medicaid182 (34.8)200 (38.2)
        Self-pay7 (1.3)7 (1.3)
    Age (years).78
        Minimum21.821.8
        Q149.549.5
        Median58.657.1
        Q368.467.7
        Maximum89.792
        Mean58.458.4
        SD13.313.2
    BMI (kg/m2).14
        Minimum3030
        Q132.633
        Median36.737.4
        Q341.643
        Maximum61.778
        Mean38.239.2
        SD6.78
    Income ($).44
        Minimum14,22711,792
        Q123,20523,205
        Median36,35635,833
        Q346,47546,475
        Maximum98,26090,599
        Mean36,92736,017.7
        SD14,31413,487
    • BMI, body mass index; SD, standard deviation.

    • View popup
    Appendix Table 3:

    Propensity-Matched Groups for Systolic Blood Pressure

    VariablesComparison Group (n = 89)Intrevention Group (n = 89)P Value
    Sex, n (%).54
        Female55 (61.8)51 (57.3)
        Male34 (38.2)38 (42.7)
    Race, n (%).57
        Black69 (77.5)72 (80.9)
        Other0 (0)1 (1.1)
        White20 (22.5)16 (18)
    Insurance type, n (%).96
        Private8 (9)8 (9)
        Medicare63 (70.8)60 (67.4)
        Medicaid16 (16)19 (21.3)
        Self-pay2 (2.2)2 (2.2)
    Age (years).37
        Minimum23.829.1
        Q156.954.9
        Median66.463
        Q37574.7
        Maximum89.791.4
        Mean65.163.8
        SD13.714
    SBP (mmHg).28
        Minimum160160
        Q1164166
        Median168170
        Q3180182
        Maximum215230
        Mean173.5175.1
        SD1313.7
    Income ($).43
        Minimum19,37111,792
        Q124,31223,205
        Median31,48131,120
        Q346,47546,241
        Maximum98,26072,010
        Mean35,511.633,427
        SD13,615.412,801.5
    • SBP, systolic blood pressure; SD, standard deviation.

    • View popup
    Appendix Table 4:

    Propensity-Matched Groups for Low-Density Lipoprotein Cholesterol

    VariablesComparison Group (n = 125)Intrevention Group (n = 125)P Value
    Sex, n (%).52
        Female72 (57.6)77 (61.6)
        Male53 (42.4)48 (38.4)
    Race, n (%).95
        Black80 (64)82 (65.6)
        Other5 (4)4 (3.2)
        White40 (32)39 (31.2)
    Insurance type, n (%).91
        Private7 (5.6)6 (4.8)
        Medicare76 (60.8)74 (59.2)
        Medicaid42 (33.6)45 (36)
        Self-pay0 (0)0 (0)
    Age (years).18
        Minimum29.930.4
        Q153.751.3
        Median62.457.9
        Q369.368.2
        Maximum89.985.5
        Mean61.859.8
        SD12.611.8
    LDL cholesterol (mg/dL).71
        Minimum130130
        Q1136136
        Median145148
        Q3166165
        Maximum273301
        Mean155.5155.9
        SD28.428.9
    Income ($).63
        Minimum14,22711,792
        Q123,20524,312
        Median31,48137,594
        Q346,47546,475
        Maximum64,20072,010
        Mean35,252.935,826.9
        SD13,015.412,902.5
    • LDL, low-density lipoprotein; SD, standard deviation.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 30 (1)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 1
January-February 2017
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Content and Outcomes of Social Work Consultation for Patients with Diabetes in Primary Care
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 14 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Content and Outcomes of Social Work Consultation for Patients with Diabetes in Primary Care
Andrew J. Rabovsky, Michael B. Rothberg, Susannah L. Rose, Andrei Brateanu, Lei Kou, Anita D. Misra-Hebert
The Journal of the American Board of Family Medicine Jan 2017, 30 (1) 35-43; DOI: 10.3122/jabfm.2017.01.160177

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Content and Outcomes of Social Work Consultation for Patients with Diabetes in Primary Care
Andrew J. Rabovsky, Michael B. Rothberg, Susannah L. Rose, Andrei Brateanu, Lei Kou, Anita D. Misra-Hebert
The Journal of the American Board of Family Medicine Jan 2017, 30 (1) 35-43; DOI: 10.3122/jabfm.2017.01.160177
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Appendix
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Practice Innovation for Care Integration, Opioid Management, and Quality Measurement in Family Medicine
  • Google Scholar

More in this TOC Section

  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
Show more Original Research

Similar Articles

Keywords

  • Ambulatory Care
  • Blood Pressure
  • Body Mass Index
  • Cholesterol
  • LDL
  • Diabetes Mellitus
  • Electronic Health Records
  • Hemoglobin A
  • Glycosylated
  • Health Insurance
  • Outpatients
  • Primary Health Care
  • Referral and Consultation
  • Retrospective Studies
  • Risk Factors
  • Social Determinants of Health
  • Social Support
  • Social Work
  • Social Workers

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire