Evidence map›Paper›PMID 19258560›Full record

ArticleAnnals of internal medicine2009

Patient-physician connectedness and quality of primary care.

Steven J Atlas, Richard W Grant, Timothy G Ferris, Yuchiao Chang, Michael J Barry

Abstract readMulticenter Study
In one paragraph

Article in Annals of internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed.

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  15. Predicting post-stroke cognitive impairment using electronic health record data.International journal of stroke : official journal of the International Stroke Society · 2024
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Steven J AtlasMassachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. satlas@partners.org
Richard W Grant
Timothy G Ferris
Yuchiao Chang
Michael J Barry

Funding

Translational Researchin Aging Trainnig ProgramT32AG023480 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS · 2004 to 2024
$7.6M
Overcoming Barriers to Evidence-Based Diabetes CareK23DK067452 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI GRANT, RICHARD W · 2005 to 2009
$653k
"Improving Pediatric Safety and Quality with Health Car*R01HS015002 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI FERRIS, TIMOTHY · 2004 to 2006
$496k
Harvard Older Americans Independence Center GrantP30AG028717 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS · 2009 to 2010
$400k
Breast Cancer Screening and Follow-up in a PBRN: The Ma*R21CA121908 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, MICHAEL J · 2006 to 2007
$359k
AHRQ HHS 5R01 HS015002AHRQ HHS R01 HS015002NCI NIH HHS 1 R21 CA121908NCI NIH HHS R21 CA121908NIA NIH HHS P30 AG028717NIA NIH HHS T32 AG023480NIDDK NIH HHS K23 DK067452
6 · The paper itself

Abstract

backgroundValid measurement of physician performance requires accurate identification of patients for whom a physician is responsible. Among all patients seen by a physician, some will be more strongly connected to their physician than others, but the effect of connectedness on measures of physician performance is not known.

objectiveTo determine whether patient-physician connectedness affects measures of clinical performance.

designPopulation-based cohort study.

settingAcademic network of 4 community health centers and 9 hospital-affiliated primary care practices. PATIENTS: 155 590 adults with 1 or more visits to a study practice from 2003 to 2005. MEASUREMENTS: A validated algorithm was used to connect patients to either 1 of 181 physicians or 1 of 13 practices in which they received most of their care. Performance measures included breast, cervical, and colorectal cancer screening in eligible patients; hemoglobin A(1c) measurement and control in patients with diabetes; and low-density lipoprotein cholesterol measurement and control in patients with diabetes and coronary artery disease.

resultsOverall, 92 315 patients (59.3%) were connected to a specific physician, whereas 53 669 patients (34.5%) were connected only to a specific practice and 9606 patients (6.2%) could not be connected to a physician or practice. The proportion of patients in a practice who could be connected to a physician varied markedly (45.6% to 71.2% of patients per practice; P < 0.001). Physician-connected patients were significantly more likely than practice-connected patients to receive guideline-consistent care (for example, adjusted mammography rates were 78.1% vs. 65.9% [P < 0.001] and adjusted hemoglobin A(1c) rates were 90.3% vs. 74.9% [P < 0.001]). Receipt of preventive care varied more by whether patients were more or less connected to a physician than by race or ethnicity. LIMITATION: Patient-physician connectedness was assessed in 1 primary care network.

conclusionPatients seen in primary care practices seem to be variably connected with a specific physician, and less connected patients are less likely to receive guideline-consistent care.

fundingNational Cancer Institute.

Indexed as

Physician-Patient RelationsQuality of Health CareAdolescentAdultCohort StudiesContinuity of Patient CareEthnicityFemaleHumansMaleMammographyManaged Care ProgramsMassachusettsMiddle AgedPatientsPrimary Health Care

Identifiers

PMID19258560
PMCPMC2975389

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.