↓ Skip to main content

Key attributes of patient centered medical homes associated with patient activation of diabetes patients

Overview of attention for article published in BMC Primary Care, January 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
98 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Key attributes of patient centered medical homes associated with patient activation of diabetes patients
Published in
BMC Primary Care, January 2018
DOI 10.1186/s12875-017-0704-3
Pubmed ID
Authors

Lori A. Bilello, Allyson Hall, Jeffrey Harman, Christopher Scuderi, Nipa Shah, Jon C. Mills, Shenae Samuels

Abstract

Approximately 24 million Americans are living with diabetes. Patient activation among individuals with diabetes is critical to successful diabetes management. The Patient Centered Medical Home (PCMH) model holds promise for increasing patient activation in managing their health. However, what is not well understood is the extent to which individual components of the PCMH model, such as the quality of physician-patient interactions and organizational features of care, contribute to patient activation. This study's objective is to determine the relative importance of the PCMH constructs or domains to patient activation among individuals living with diabetes. This study is a cross-sectional analysis of 1253 primary care patients surveyed with type II diabetes. The dependent variable, patient activation, was assessed using the Patient Activation Measure (PAM). Independent variables included 7 PCMH domains- organizational access, integration of care, comprehensive knowledge, office staff helpfulness, communication, interpersonal treatment and trust. Ordered logistic regression was performed to determine whether each PCMH domain was independently associated with patient activation, followed by a final ordered logistic regression that included all the PCMH domains in a single adjusted model. Using the full adjusted model, the odds of patients reporting higher activation scores (PAM) were found to be significant in the domains that represented organizational access (OR 1.56, 95% CI 1.31-1.85) and comprehensive knowledge (OR 1.44, 95% CI 1.13-1.85). Many practices have struggled with the challenge to develop fully functional patient-centered medical homes. In an effort to become more patient-centered, this study aimed to address what factors activated diabetic patients to adhere to diabetes management plan. Understanding these factors can help identify PCMH attributes that practices can prioritize and improve upon to assist their patients in improving health outcomes. Study was not a clinical trial; therefore it was not registered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 21 21%
Researcher 13 13%
Student > Master 11 11%
Student > Bachelor 9 9%
Student > Ph. D. Student 7 7%
Other 16 16%
Unknown 21 21%
Readers by discipline Count As %
Unspecified 21 21%
Medicine and Dentistry 18 18%
Nursing and Health Professions 13 13%
Social Sciences 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 13 13%
Unknown 24 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2022.
All research outputs
#2,967,288
of 25,382,440 outputs
Outputs from BMC Primary Care
#365
of 2,359 outputs
Outputs of similar age
#63,252
of 449,622 outputs
Outputs of similar age from BMC Primary Care
#11
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.