The Clinical Course of Pain and Function in Older Adults with a New Primary Care Visit for Back Pain

2015 ◽  
Vol 63 (3) ◽  
pp. 524-530 ◽  
Author(s):  
Sean D. Rundell ◽  
Karen J. Sherman ◽  
Patrick J. Heagerty ◽  
Charles N. Mock ◽  
Jeffrey G. Jarvik
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Back Pain ◽  
Clinical Course ◽  
Primary Care Visit ◽  
Care Visit ◽  
And Function

Older Patients’ Recall of Lifestyle Discussions in Primary Care

2016 ◽  
Vol 36 (4) ◽  
pp. 386-400 ◽  
Author(s):  
Shoshana H. Bardach ◽  
Nancy E. Schoenberg ◽  
Britteny M. Howell
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Primary Care ◽  
Health Care Providers ◽  
Physical Inactivity ◽  
Primary Care Visit ◽  
Care Providers ◽  
Care Visit ◽  
Patient Recall ◽  
Diet And Physical Activity

Despite the known benefits of engaging in healthy diet and physical activity across the life span, suboptimal diet and physical inactivity are pervasive among older adults. While health care providers can promote patients’ engagement in health behaviors, patient recall of recommendations tends to be imperfect. This study sought to better understand older adults’ recall of dietary and physical activity discussions in primary care. One hundred and fifteen adults aged 65 and older were interviewed immediately following a routine primary care visit on whether and what they recalled discussing pertaining to diet and physical activity. Compared against transcripts, most patients accurately recalled their diet and physical activity discussions. The inclusion of a recommendation, and for diet discussions longer duration, increased the likelihood of patient recall for these health behavior discussions. These findings suggest that specific recommendations and an extra minute of discussion, at least for dietary discussions, increase the likelihood of accurate patient recall.

scholarly journals Who are we missing with EHR-based smoking cessation treatments? A descriptive study of patients who smoke and do not regularly visit primary care clinics

2020 ◽  
Vol 15 (4) ◽  
pp. 175-180
Author(s):  
Margaret Nolan ◽  
Deejay Zwaga ◽  
Danielle McCarthy ◽  
Christian Kastman ◽  
Timothy Baker ◽  
...  
Keyword(s):  
Primary Care ◽  
Care Provider ◽  
Primary Care Provider ◽  
The United States ◽  
Primary Care Visit ◽  
Patient Portal ◽  
The Past ◽  
Healthcare Settings ◽  
Care Visit ◽  
Tobacco Treatment

AbstractIntroductionMost tobacco treatment efforts target healthcare settings, because about 75% of smokers in the United States visit a primary care provider annually. Yet, 25% of patients may be missed by such targeting.AimsTo describe patients who smoke but infrequently visit primary care – their characteristics, rates of successful telephone contact, and acceptance of tobacco treatment.MethodsTobacco Cessation Outreach Specialists ‘cold-called’ those without a primary care visit in the past year, offering tobacco dependence treatment. Age, sex, insurance status, race, ethnicity, electronic health record (EHR) patient-portal status and outreach outcomes were reported.ResultsOf 3,407 patients identified as smokers in a health system registry, 565 (16.6%) had not seen any primary care provider in the past year. Among 271 of those called, 143 (53%) were successfully reached and 33 (23%) set a quit date. Those without visits tended to be younger, male, some-day versus every-day smokers (42 vs. 44 years, P = 0.004; 48% vs. 40% female, P = 0.0002, and 21% vs. 27% some-day, P = 0.003), and less active on the EHR patient portal (33% vs. 40%, P = 0.001).ConclusionsA substantial proportion of patients who smoke are missed by traditional tobacco treatment interventions that require a primary care visit, yet many are receptive to quit smoking treatment offers.

scholarly journals Natural language processing for automated annotation of medication mentions in primary care visit conversations

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Craig H Ganoe ◽  
Weiyi Wu ◽  
Paul J Barr ◽  
William Haslett ◽  
Michelle D Dannenberg ◽  
...  
Keyword(s):  
Primary Care ◽  
Natural Language Processing ◽  
Natural Language ◽  
Information Extraction ◽  
Language Processing ◽  
Primary Care Visit ◽  
Data Set ◽  
Test Set ◽  
Medication Information ◽  
Care Visit

Abstract Objectives The objective of this study is to build and evaluate a natural language processing approach to identify medication mentions in primary care visit conversations between patients and physicians. Materials and Methods Eight clinicians contributed to a data set of 85 clinic visit transcripts, and 10 transcripts were randomly selected from this data set as a development set. Our approach utilizes Apache cTAKES and Unified Medical Language System controlled vocabulary to generate a list of medication candidates in the transcribed text and then performs multiple customized filters to exclude common false positives from this list while including some additional common mentions of the supplements and immunizations. Results Sixty-five transcripts with 1121 medication mentions were randomly selected as an evaluation set. Our proposed method achieved an F-score of 85.0% for identifying the medication mentions in the test set, significantly outperforming existing medication information extraction systems for medical records with F-scores ranging from 42.9% to 68.9% on the same test set. Discussion Our medication information extraction approach for primary care visit conversations showed promising results, extracting about 27% more medication mentions from our evaluation set while eliminating many false positives in comparison to existing baseline systems. We made our approach publicly available on the web as an open-source software. Conclusion Integration of our annotation system with clinical recording applications has the potential to improve patients’ understanding and recall of key information from their clinic visits, and, in turn, to positively impact health outcomes.

scholarly journals A Pain eHealth Platform for Engaging Obese, Older Adults with Chronic Low Back Pain in Nonpharmacological Pain Treatments: Protocol for a Pilot Feasibility Study

10.2196/14525 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e14525
Author(s):  
Amber K Brooks ◽  
David P Miller Jr ◽  
Jason T Fanning ◽  
Erin L Suftin ◽  
M Carrington Reid ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Low Back Pain ◽  
Back Pain ◽  
Chronic Low Back Pain ◽  
Primary Care Providers ◽  
Patient Portal ◽  
Low Back ◽  
Care Providers ◽  
Web Based

Background Low back pain is a costly healthcare problem and the leading cause of disability among adults in the United States. Primary care providers urgently need effective ways to deliver evidence-based, nonpharmacological therapies for chronic low back pain. Guidelines published by several government and national organizations have recommended nonpharmacological and nonopioid pharmacological therapies for low back pain. Objective The Pain eHealth Platform (PEP) pilot trial aims to test the feasibility of a highly innovative intervention that (1) uses an electronic health record (EHR) query to systematically identify a phenotype of obese, older adults with chronic low back pain who may benefit from Web-based behavioral treatments; (2) delivers highly tailored messages to eligible older adults with chronic low back pain via the patient portal; (3) links affected patients to a Web app that provides education on the efficacy of evidence-based, nonpharmacological, behavioral pain treatments; and (4) directs patients to existing Web-based health treatment tools. Methods Using a three-step modified Delphi method, an expert panel of primary care providers will define a low back pain phenotype for an EHR query. Using the defined low back pain phenotype, an EHR query will be created to identify patients who may benefit from the PEP. Up to 15 patients with low back pain will be interviewed to refine the tailored messaging, esthetics, and content of the patient-facing Web app within the PEP. Up to 10 primary care providers will be interviewed to better understand the facilitators and barriers to implementing the PEP, given their clinic workflow. We will assess the feasibility of the PEP in a single-arm pragmatic pilot study in which secure patient portal invitations containing a hyperlink to the PEP Web app are sent to 1000 patients. The primary outcome of the study is usability as measured by the System Usability Scale. Results Qualitative interviews with primary care providers were completed in April 2019. Qualitative interviews with patients will begin in December 2019. Conclusions The PEP will leverage informatics and the patient portal to deliver evidence-based nonpharmacological treatment information to adults with chronic low back pain. Results from this study may help inform the development of Web-based health platforms for other pain and chronic health conditions. International Registered Report Identifier (IRRID) DERR1-10.2196/14525

scholarly journals A Pain eHealth Platform for Engaging Obese, Older Adults with Chronic Low Back Pain in Nonpharmacological Pain Treatments: Protocol for a Pilot Feasibility Study (Preprint)

2019 ◽  
Author(s):  
Amber K Brooks ◽  
David P Miller Jr ◽  
Jason T Fanning ◽  
Erin L Suftin ◽  
M Carrington Reid ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Low Back Pain ◽  
Back Pain ◽  
Chronic Low Back Pain ◽  
Primary Care Providers ◽  
Patient Portal ◽  
Low Back ◽  
Care Providers ◽  
Web Based

BACKGROUND Low back pain is a costly healthcare problem and the leading cause of disability among adults in the United States. Primary care providers urgently need effective ways to deliver evidence-based, nonpharmacological therapies for chronic low back pain. Guidelines published by several government and national organizations have recommended nonpharmacological and nonopioid pharmacological therapies for low back pain. OBJECTIVE The Pain eHealth Platform (PEP) pilot trial aims to test the feasibility of a highly innovative intervention that (1) uses an electronic health record (EHR) query to systematically identify a phenotype of obese, older adults with chronic low back pain who may benefit from Web-based behavioral treatments; (2) delivers highly tailored messages to eligible older adults with chronic low back pain via the patient portal; (3) links affected patients to a Web app that provides education on the efficacy of evidence-based, nonpharmacological, behavioral pain treatments; and (4) directs patients to existing Web-based health treatment tools. METHODS Using a three-step modified Delphi method, an expert panel of primary care providers will define a low back pain phenotype for an EHR query. Using the defined low back pain phenotype, an EHR query will be created to identify patients who may benefit from the PEP. Up to 15 patients with low back pain will be interviewed to refine the tailored messaging, esthetics, and content of the patient-facing Web app within the PEP. Up to 10 primary care providers will be interviewed to better understand the facilitators and barriers to implementing the PEP, given their clinic workflow. We will assess the feasibility of the PEP in a single-arm pragmatic pilot study in which secure patient portal invitations containing a hyperlink to the PEP Web app are sent to 1000 patients. The primary outcome of the study is usability as measured by the System Usability Scale. RESULTS Qualitative interviews with primary care providers were completed in April 2019. Qualitative interviews with patients will begin in December 2019. CONCLUSIONS The PEP will leverage informatics and the patient portal to deliver evidence-based nonpharmacological treatment information to adults with chronic low back pain. Results from this study may help inform the development of Web-based health platforms for other pain and chronic health conditions. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/14525

Vision Screening

2020 ◽  
Keyword(s):  
Primary Care ◽  
Early Detection ◽  
Physical Examination ◽  
Vision Loss ◽  
Light Reflection ◽  
Primary Care Visit ◽  
Vision Screening ◽  
Care Visit ◽  
Test Instrument ◽  
Key Points

Key Points Vision screening should be a routine part of every primary care visit, with physical examination from birth and formal acuity testing from 3 years on. Elements of the physical examination include inspection, red reflex evaluation, corneal light reflection, cover-uncover test. Instrument-based testing can begin at 1 year of age until chart-based acuity testing is possible from 3 years on. Amblyopia, which results in permanent vision loss, is preventable with early detection—before 5 years of age.

scholarly journals Patient-Reported Use of the After Visit Summary in a Primary Care Internal Medicine Practice

2019 ◽  
Vol 7 (5) ◽  
pp. 703-707
Author(s):  
Sarita Pathak ◽  
Gregory Summerville ◽  
Celia P Kaplan ◽  
Sarah S Nouri ◽  
Leah S Karliner
Keyword(s):  
Primary Care ◽  
Multivariable Analysis ◽  
Free Text ◽  
Primary Care Visit ◽  
Communication Tool ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Care Visit ◽  
Patient Reported ◽  
Communication Errors

Participants completed a cross-sectional survey about their use of the after visit summary (AVS) at a previous primary care visit. Of 355 participants, 294 (82.8%) recalled receiving it, 67.4% consulted it, 45.9% consulted it more than once, and 31.6% shared the AVS. In multivariable analysis, higher education and older age were associated with AVS consultation. Among the subset of 133 patients recalling personalized free-text instructions, 96% found them easy to understand and 94.4% found them useful. Our findings suggest that the AVS is a useful communication tool and improvement efforts should emphasize clarity for those most vulnerable to communication errors.

scholarly journals Adolescent Primary Care Visit Patterns

2010 ◽  
Vol 8 (6) ◽  
pp. 511-516 ◽  
Author(s):  
J. D. Nordin ◽  
L. I. Solberg ◽  
E. D. Parker
Keyword(s):  
Primary Care ◽  
Primary Care Visit ◽  
Care Visit

scholarly journals Primary Care Visit Regularity and Patient Outcomes: an Observational Study

2018 ◽  
Vol 34 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Adam J. Rose ◽  
Justin W. Timbie ◽  
Claude Setodji ◽  
Mark W. Friedberg ◽  
Rosalie Malsberger ◽  
...  
Keyword(s):  
Primary Care ◽  
Observational Study ◽  
Patient Outcomes ◽  
Primary Care Visit ◽  
Care Visit

scholarly journals Primary care visit preparation and communication for patients with poorly controlled diabetes: A qualitative study of patients and physicians

2017 ◽  
Vol 11 (2) ◽  
pp. 148-153 ◽  
Author(s):  
Richard William Grant ◽  
Andrea Altschuler ◽  
Connie Si Uratsu ◽  
Gabriela Sanchez ◽  
Julie Ann Schmittdiel ◽  
...  
Keyword(s):  
Primary Care ◽  
Qualitative Study ◽  
Primary Care Visit ◽  
Care Visit
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