Skip to main content

Main menu

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

Features of U.S. Primary Care Physicians and Their Practices Associated with Advance Care Planning Conversations

David Nowels, Molly A. Nowels, Julia L. Sheffler, Susan Kunihiro and Hillary D. Lum
The Journal of the American Board of Family Medicine November 2019, 32 (6) 835-846; DOI: https://doi.org/10.3122/jabfm.2019.06.190017
David Nowels
University of Colorado School of Medicine, Aurora, CO (DN, MAN, HDL); Rutgers University Institute For Health, Health Care Policy, and Aging Research, New Brunswick, NJ (MAN); Florida State University College of Medicine, Tallahassee, FL (JLS); Emory University School of Medicine, Atlanta, GA (SK); Veterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, Colorado (HDL).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Molly A. Nowels
University of Colorado School of Medicine, Aurora, CO (DN, MAN, HDL); Rutgers University Institute For Health, Health Care Policy, and Aging Research, New Brunswick, NJ (MAN); Florida State University College of Medicine, Tallahassee, FL (JLS); Emory University School of Medicine, Atlanta, GA (SK); Veterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, Colorado (HDL).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julia L. Sheffler
University of Colorado School of Medicine, Aurora, CO (DN, MAN, HDL); Rutgers University Institute For Health, Health Care Policy, and Aging Research, New Brunswick, NJ (MAN); Florida State University College of Medicine, Tallahassee, FL (JLS); Emory University School of Medicine, Atlanta, GA (SK); Veterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, Colorado (HDL).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Susan Kunihiro
University of Colorado School of Medicine, Aurora, CO (DN, MAN, HDL); Rutgers University Institute For Health, Health Care Policy, and Aging Research, New Brunswick, NJ (MAN); Florida State University College of Medicine, Tallahassee, FL (JLS); Emory University School of Medicine, Atlanta, GA (SK); Veterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, Colorado (HDL).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hillary D. Lum
University of Colorado School of Medicine, Aurora, CO (DN, MAN, HDL); Rutgers University Institute For Health, Health Care Policy, and Aging Research, New Brunswick, NJ (MAN); Florida State University College of Medicine, Tallahassee, FL (JLS); Emory University School of Medicine, Atlanta, GA (SK); Veterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora, Colorado (HDL).
  • 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.

    Bivariate Associations of Physician and Practice Characteristics with Advance Care Planning*

    VariableTotal Respondents, n (%)Routinely Engage About ACP, n (%)Do Not Routinely Engage About ACP, n (%)P value
    Practice is a APCP/PCMH (binary variable)338 (34.6)169 (36.9)169 (32.6).18
    Age 45+714 (73.6)349 (76.9)365 (70.7).001
    Male589 (60.6)308 (67.7)281 (54.4).001
    Consider work high stress433 (44.8)217 (47.9)216 (42.0).07
    Practice location.001
        City379 (39.2)186 (41.1)193 (37.6)
        Suburb304 (31.5)119 (26.3)185 (36.1)
        Small town175 (18.1)91 (20.1)84 (16.4)
        Rural108 (11.2)57 (12.6)51 (9.9)
    Practice belongs to an ACO347 (36.1)184 (40.6)163 (32.0).01
    Physician payment
        Clinical targets370 (38.2)200 (44.2)170 (32.9).001
        CMS incentives441 (45.6)237 (52.2)204 (39.7).001
        Fee for service604 (68.5)300 (73.2)304 (64.4).01
        Capitation210 (25.8)119 (31.4)91 (20.9).001
        Salary461 (52.7)200 (49.0)261 (56.0).05
    Practice often sees patients with:
        Multiple chronic conditions812 (84.4)443 (98.0)369 (72.4).001
        Palliative care needs216 (22.5)157 (35.0)59 (11.6).001
    Practice does home visits333 (35.2)217 (48.8)116 (23.2).001
    • ↵* N = 1001. All these analyses were done using χ2 tests, using data that had not yet undergone imputation. Therefore, each row has slightly different Ns associated due to different levels of missing data for each variable. APCP/PCMH, Advanced Primary Care Practice/Patient Centered Medical Home; ACO, Accountable Care Organization; CMS, Centers for Medicare & Medicaid services..

    • View popup
    Table 2.

    Multivariable Regression Predicting Physicians Routinely Engaging Older and Sicker Patients in Advance Care Planning, Using Binary PCMH Variable*

    VariableOdds Ratio95% Confidence IntervalP value
    Practice is APCP/PCMH (binary variable)1.00(0.72–1.49).99
    Age 45+1.22(0.87–1.72).25
    Male1.40(1.03–1.90).03
    Consider work high stress0.99(0.74–1.32).94
    Practice location
        Cityreference
        Suburb0.66(0.46–0.94).02
        Small town0.98(0.65–1.48).94
        Rural0.86(0.53–1.40).55
    Practice belongs to an ACO1.14(0.82–1.57).43
    Physician payment
        Clinical targets1.42(1.04–1.94).03
        CMS incentives1.18(0.87–1.60).28
        Fee for service1.14(0.73–1.78).57
        Capitation1.48(1.03–2.11).03
        Salary0.92(0.61–1.37).67
    Practice often sees patients with:
        Multiple chronic conditions11.53(5.67–23.42)<.001
        Palliative care needs2.36(1.65–3.36)<.001
    Practice does home visits2.12(1.56–2.88)<.001
    • APCP, advanced primary care; PCMH, patient centered medical home; ACO, accountable care organization.

    • ↵* N = 977. Values imputed when absent.

    • Bolded items and values are statistically significant.

    • View popup
    Table 3.

    APCP Index Predicting Binary PCMH Variable

    Unadjusted Logistic RegressionAdjusted Logistic Regression
    OR (95% CI)P valueOR (95% CI)P value
    APCP index1.11 (1.09, 1.13)<.0011.09 (1.06, 1.12)<.001
    • APCP, advanced primary care; PCMH, patient centered medical home; ACO, accountable care organization; OR, odds ratio; CI, confidence interval.

    • View popup
    Table 4.

    Multivariable Regression of Advance Care Planning Conversations, Including the APCP Index*

    VariableOdds Ratio95% Confidence IntervalP value
    APCP index1.07(1.05–1.09).00
    Age 45+1.26(0.89–1.79).20
    Male1.30(0.95–1.78).10
    Considering work high stress1.06(0.79–1.42).70
    Practice location
        Cityreference
        Suburb0.65(0.45–0.93).02
        Small town0.94(0.62–1.43).78
        Rural0.89(0.54–1.46).63
    Practice belongs to an ACO0.96(0.69–1.33).81
    Physician payment
        Clinical targets1.15(0.83–1.59).40
        CMS incentives0.94(0.69–1.29).71
        Fee for service1.16(0.73–1.82).53
        Capitation1.48(1.03–2.13).04
        Salaried0.83(0.55–1.24).36
    Practice often sees patients with:
        Multiple chronic conditions9.95(4.87–20.34).00
        Palliative care needs2.03(1.41–2.93).00
    Practice does home visits2.01(1.47–2.75).00
    • APCP, advanced primary care. ACO, accountable care organization.

    • ↵* N = 977. Values imputed when absent.

    • Bolded items and values are statistically significant.

  • Items and Statistics for Index of APCP-PCMH

    Q#Question
    Q9.Do you/other personnel that work in the practice provide care in any of the following:
    Q#Question
    Q11.How prepared is your practice to manage care for the following patients:
    Q16.When your pt goes to ED or admitted to hospital how often do you receive:
    Q#Question
    Q20.If any of your pts receive home health services how often do:
    Q28b.Does your practice offer patients the option to:
    Q29.Can your practice generate information about your patients using computerized processes:
    Q30.Are the following routinely performed in your practice using computer:
    Q31.Does the place where you practice routinely receive and review data re the following:
  • Index Item-Total Statistics

    Question in 2015 Commonwealth Fund International Health Policy Survey of Primary Care Physicians in 10 Nations used to create the index of APCP/PCMHScale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationCronbach's Alpha if Item Deleted
    q3 - Your rating of changes in quality of medical care patients receive compared to 3 years previously?23.4158.0590.2300.879
    q8 - Does your practice have an arrangement where patients can see a Dr or nurse if needed when the practice is closed, without going to hospital or ED?23.2757.9520.2120.879
    q9 - Do you/other personnel that work in the practice provide care in any of the following:
    q9b - Coordinate f/u care with hospitals?22.8058.1640.2840.878
    q9d - Coordinate care with social services or other community providers?22.7758.6270.2250.878
    q11. - How prepared is your practice to manage care for the following patients:
    q11a - Chronic illness?22.9157.4110.3330.877
    q11b - Mental health problems?23.5158.3520.2290.878
    q11c - Substance use issues?23.5158.2420.2550.878
    q11d - In need of palliative care?23.3156.8370.3740.876
    q11e - In need of Long Term Care?23.2556.5550.4010.876
    q11f - With community needs?23.3757.1490.3490.877
    q11g - Needing language translation?23.3257.7050.2540.878
    q11h - With dementia?23.2956.8760.3630.876
    q12 - Does your practice use personnel to monitor and manage care for patients with chronic conditions that need regular follow up care?23.0156.4870.4280.875
    q13 - Are pts with chronic conditions given written instructions about how to manage their own care at home?22.7758.1770.3240.877
    q14 - For patients with chronic conditions are their self management goals recorded in their med record??22.8757.8700.2850.878
    q15a - A report back with all relevant health info?22.9157.5240.3160.877
    q15b - Info about changes specialist has made to med or care plan?22.9557.2320.3440.877
    q15c - Info that is timely and available when needed?23.0357.3630.2990.878
    q 16. - When your patient goes to the ED or is admitted to the hospital how often do you receive:
    q16a - Notification seen in ED or admitted to hospital?22.9557.0840.3640.876
    q16b - Notification being dc'd from hospital?22.9956.7980.3890.876
    q17 - After hospital dc how long does it take for you to get info needed to manage the patient?22.9257.7050.2860.878
    q20. - If any of your patients receive home health services how often do:
    q20a - You or practice personnel communicate with patient's home care provider?23.2256.9550.3420.877
    q20b - Are you advised of a relevant change in patient's condition?23.1257.0420.3300.877
    q21 - How easy or difficult is it to coordinate patient care with social services or other community providers?23.3457.3930.3020.878
    q28b. - Does your practice offer patients the option to:
    q28ba - Email the practice?23.0857.1020.3250.877
    q28bb - View, download, etc, information from the medical record?23.0556.4240.4250.875
    q29 - Can your practice generate information about your patients using computerized processes:
    q29a - List of patients by diagnosis?22.8956.9870.4190.876
    q29b - List by if patient is overdue for preventive care?23.0155.9830.5000.874
    q29d - List of medications taken by individual patient?22.9456.5800.4480.875
    q29e - List of lab results for individual patient?23.0456.4090.4310.875
    q29f - Clinical summary for each visit to give to the patient?22.8956.9820.4150.876
    Q30.- Are the following routinely performed in your practice using computer:
    q30a - Patient sent reminder notices about preventive or follow up care?23.2656.4530.4180.875
    q30b - All lab tests followed until results reach clinicians?23.0556.5030.4150.875
    q30c - You receive prompt to provide patient with test results?23.1656.4280.4120.876
    q30d - You receive reminder about guideline based intervention/screening?23.2056.0670.4620.875
    q31. - Does the place where you practice routinely receive and review data about the following:
    q31a - Clinical outcomes?23.1555.8750.4880.874
    q 31b. - Surveys of patient satisfaction?23.0356.2700.4530.875
    q31c. - Patient hospital or emergency department use?23.1056.2620.4390.875
    q31d. - % of patients receiving recommended care?23.1055.8820.4920.874
    q32. Are any of your own clinical performance reviewed against targets at least annually?22.9256.8250.4190.876
    q33. Do you receive info on how the clinical performance of your practice compares to other practices?22.9957.0360.3550.877
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 32 (6)
The Journal of the American Board of Family Medicine
Vol. 32, Issue 6
November-December 2019
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
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.
Features of U.S. Primary Care Physicians and Their Practices Associated with Advance Care Planning Conversations
(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.
7 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Features of U.S. Primary Care Physicians and Their Practices Associated with Advance Care Planning Conversations
David Nowels, Molly A. Nowels, Julia L. Sheffler, Susan Kunihiro, Hillary D. Lum
The Journal of the American Board of Family Medicine Nov 2019, 32 (6) 835-846; DOI: 10.3122/jabfm.2019.06.190017

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Features of U.S. Primary Care Physicians and Their Practices Associated with Advance Care Planning Conversations
David Nowels, Molly A. Nowels, Julia L. Sheffler, Susan Kunihiro, Hillary D. Lum
The Journal of the American Board of Family Medicine Nov 2019, 32 (6) 835-846; DOI: 10.3122/jabfm.2019.06.190017
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

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

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • New Research on Back Pain, Diet and Diabetes, Advanced Care Planning, and Other Issues Frequently Seen in Family Medicine
  • Google Scholar

More in this TOC Section

  • Increasing Primary Care Utilization of Medication-Assisted Treatment (MAT) for Opioid Use Disorder
  • Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders
  • Associations Between High Pain Catastrophizing and Opioid-Related Awareness and Beliefs Among Patients in Primary Care
Show more Original Research

Similar Articles

Keywords

  • Advance Care Planning
  • Health Care Surveys
  • House Calls
  • Multimorbidity
  • Multiple Chronic Conditions
  • Palliative Care
  • Patient-Centered Care
  • Physician-Patient Relations
  • Primary Care Physicians
  • Terminal Care

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

© 2023 American Board of Family Medicine

Powered by HighWire