scholarly journals Physical Activity Types and Programs Recommended by Primary Care Providers Treating Adults With Arthritis, DocStyles 2018

2021 ◽  
Vol 18 ◽  
Author(s):  
Dana Guglielmo ◽  
Kristina A. Theis ◽  
Louise B. Murphy ◽  
Michael A. Boring ◽  
Charles G. Helmick ◽  
...  
2018 ◽  
Author(s):  
Marijane G. Staniec

Many of today’s healthy adults will be plagued by chronic diseases, such as obesity, hypertension, heart disease, and diabetes, and be robbed of the quality of life they desire. According to the 2015–2020 Dietary Guidelines for Americans, about half of all American adults have one or more diet-related chronic diseases. The question, “What should healthy adults eat to stay healthy?” may seem simple. However, many primary care providers feel vulnerable answering questions about nutrition. This review serves as a summary of the most up-to-date guidelines about added sugars, sodium, types of fat, and cholesterol for healthy adults and a refresher for health care providers caring for them. Other important related issues, such as the latest recommendations for physical activity, the problem of adult weight gain, the need for adiposity screening, the powerful role of the primary care provider, and suggestions nutrition-focused primary care, are discussed. This review contains 5 Figures, 5 Tables and 137 references Key words: weight gain, cholesterol, Dietary Guidelines, sugar-sweetened beverages, adiposity, added sugar, hydrogenated oils, physical activity, waist-to-height ratio, nutrition-focused, Primary Care


2020 ◽  
pp. 089011712098137
Author(s):  
Dana Guglielmo ◽  
Louise B. Murphy ◽  
Kristina A. Theis ◽  
Charles G. Helmick ◽  
John D. Omura ◽  
...  

Purpose: To examine primary care providers' (PCPs) physical activity assessment and recommendation behaviors for adults with arthritis. Design: Cross-sectional. Setting: 2018 DocStyles online national market research survey of US physicians and nurse practitioners. Sample: 1,389 PCPs seeing adults with arthritis. Measures: 2 independent behaviors (assessment and recommendation) as 3 non-mutually exclusive groups: “always assesses,” “always recommends,” and “both” (“always assesses and recommends”). Analysis: Calculated percentages of each group (overall and by PCP characteristics), and multivariable-adjusted prevalence ratios (PRs) using binary logistic regression. Results: Among PCPs, 49.2% always assessed and 57.7% always recommended physical activity; 39.7% did both. Across all 3 groups, percentages were highest for seeing ≥20 adults with arthritis weekly (“both”: 56.4%; “always assesses”: 66.7%; “always recommends”: 71.3%) and lowest among obstetrician/gynecologists (“both”: 26.9%; “always assesses”: 36.8%; “always recommends”: 40.7%). Multivariable-adjusted associations were strongest for seeing ≥20 adults with arthritis weekly (referent: 1-9 adults) and each of “always assesses” (PR = 1.5 [95% confidence interval (CI): 1.3−1.8] and “both” (PR = 1.6 [95% CI: 1.4−1.9]). Conclusions: Approximately 40% of PCPs sampled always engaged in both behaviors (assessing and recommending physical activity) with adults with arthritis; seeing a high volume of adults with arthritis was consistently related to engaging in each behavior. Evidence-based approaches to support PCP counseling include offering provider education and training, raising awareness of available resources, and using health system supports.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
John D Omura ◽  
Susan A Carlson ◽  
Prabasaj Paul ◽  
Kathleen B Watson ◽  
Fleetwood Loustalot ◽  
...  

Background: In 2014, the US Preventive Services Task Force recommended adults who are overweight or obese and have additional cardiovascular disease (CVD) risk factors be offered or referred to intensive behavioral counseling interventions to promote a healthful diet and physical activity for CVD prevention. Hypothesis: We hypothesized that primary care providers (PCPs) who discussed physical activity with most of their at risk patients would have a higher prevalence of offering select components than PCPs who discussed physical activity less frequently. Methods: DocStyles 2015, a Web-based panel survey of 1251 PCPs (response rate=76.8%), assessed physical activity counseling practices with patients at risk for CVD (overweight or obese and with hypertension, dyslipidemia, impaired fasting glucose, or the metabolic syndrome). Results: Overall, 55.9% (SE=1.4) of PCPs discussed physical activity with most of their patients at risk for CVD. Among respondents who discussed physical activity with any at risk patients (N=1244), the prevalence of components offered when they counseled ranged from 92.6% encouraging increased physical activity to 15.8% referring to intensive behavioral counseling (Table). PCPs who discussed physical activity with most at risk patients had a higher prevalence of offering all counseling components assessed than PCPs who discussed physical activity less frequently, except for referring to intensive behavioral counseling where no difference was found. Of all PCPs, 8.4% both discussed physical activity with most of their at risk patients and referred them to intensive behavioral counseling. Conclusion: Just over half of PCPs surveyed discussed physical activity with most patients at risk for CVD. These PCPs more frequently offered select components when they counseled with the exception of referral to intensive behavioral counseling. Both the low levels of counseling and referral to intensive behavioral counseling present important opportunities for improving counseling practices.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
John D Omura ◽  
Kathleen B Watson ◽  
Fleetwood V Loustalot ◽  
Janet E Fulton ◽  
Susan A Carlson

Background: The US Preventive Services Task Force recommends adults with certain cardiovascular disease (CVD) risk factors be offered or referred to intensive behavioral counseling to promote a healthful diet and physical activity for CVD prevention. However, only 1 in 12 primary care providers (PCPs) currently follow this recommendation. This study assessed system and programmatic features PCPs reported would increase their likelihood of referring patients at risk for CVD to intensive behavioral counseling and whether this varied by the percentage of at-risk patients with whom they discuss physical activity. Methods: DocStyles 2018, a web-based panel survey of PCPs, assessed the percentage of at-risk patients with whom PCPs discuss physical activity and the degree to which select features would increase their likelihood of referring to intensive behavioral counseling. Results: Overall, 60.8% of PCPs discussed physical activity with most of their at-risk patients; 21.8% did so with many and 17.4% with few or some. The proportion of PCPs identifying features as increasing their likelihood of referring to intensive behavioral counseling by a great extent ranged from 24.1% for an automated referral in electronic health records, 35.3% for patient progress reports, 41.5% for the program being accredited or evidence-based, to 67.2% for the program having no cost to the patient (Table). These proportions increased for each feature as the percentage of at-risk patients with whom they discuss physical activity increased. Conclusion: PCPs identified programmatic features (i.e. being accredited and of no cost) as having the greatest influence on their likelihood of referring patients at risk for CVD to intensive behavioral counseling, although this varied by the percentage of at-risk patients with whom they discuss physical activity. Findings suggest that the effectiveness of strategies to improve behavioral counseling referrals by PCPs may depend on their current physical activity counseling practices.


2018 ◽  
Vol 33 (2) ◽  
pp. 208-216 ◽  
Author(s):  
John D. Omura ◽  
Kathleen B. Watson ◽  
Fleetwood Loustalot ◽  
Janet E. Fulton ◽  
Susan A. Carlson

Purpose: The US Preventive Services Task Force recommends that adults at risk for cardiovascular disease (CVD) be offered or referred to intensive behavioral counseling interventions to promote a healthful diet and physical activity for CVD prevention. We assessed primary care providers’ (PCPs) awareness of local physical activity-related behavioral counseling services, whether this awareness was associated with referring eligible patients, and the types and locations of services to which they referred. Design: Cross-sectional survey. Setting: Primary care providers practicing in the United States. Subjects: 1256 respondents. Measures: DocStyles 2016 survey assessing PCPs’ awareness of and referral to physical activity-related behavioral counseling services. Analysis: Calculated prevalence and adjusted odds ratios (aORs). Results: Overall, 49.9% of PCPs were aware of local services. Only 12.6% referred many or most of their at-risk patients and referral was associated with awareness of local services (aOR = 2.81, [95% confidence interval: 1.85-4.25]). Among those referring patients, services ranged from a health-care worker within their practice or group (25.4%) to an organized program in a medical facility (41.2%). Primary care providers most often referred to services located outside their practice or group (58.1%). Conclusion: About half of PCPs were aware of local behavioral counseling services, and referral was associated with awareness. Establishing local resources and improving PCPs’ awareness of them, especially using community–clinical linkages, may help promote physical activity among adults at risk for CVD.


Author(s):  
Bobby Neudorf ◽  
Lora Giangregorio ◽  
Plinio Morita

This study assessed primary care providers’ (PCPs) perceptions of the usability of an electronic medical record tool to support physical activity counseling in primary care. Our analyses revealed that usability improved when the electronic medical record tool followed a PCP’s natural workflow and when the tool could assist in engaging in a discussion about physical activity. Poor usability was associated with the presence of large amounts of text on the screen and technological aspects that required additional learning. Overall, efficiency, workflow integration, and the inclusion of a care plan were vital in a physical activity counseling tool for a primary care setting.


2006 ◽  
Vol 14 (3) ◽  
pp. 324-343 ◽  
Author(s):  
Miriam C. Morey ◽  
Carola Ekelund ◽  
Megan Pearson ◽  
Gail Crowley ◽  
Matthew Peterson ◽  
...  

The authors describe a medical center-based randomized trial aimed at determining the feasibility and effectiveness of partnering patients and primary-care providers with an exercise health counselor. Study participants included 165 veterans age 70 years and older. The primary end point was change in physical activity at 3 and 6 months comparing patients receiving high-intensity physical activity counseling, attention control counseling, and usual care after receiving standardized clinic-based counseling. We noted a significant Group × Time interaction (p= .041) for physical activity frequency and a similar effect for caloric expenditure (p= .054). Participants receiving high-intensity counseling and usual care increased physical activity over the short term, but those with usual care returned to baseline by the end of the study. The intervention was well received by practitioners and patients. We conclude that partnering primary-care providers with specialized exercise counselors for age- and health-appropriate physical activity counseling is effective.


10.2196/15424 ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. e15424
Author(s):  
Payal Agarwal ◽  
Natasha Kithulegoda ◽  
Zachary Bouck ◽  
Beth Bosiak ◽  
Ilana Birnbaum ◽  
...  

Background Physical inactivity is associated with increased health risks. Primary care providers (PCPs) are well positioned to support increased physical activity (PA) levels through screening and provision of PA prescriptions. However, PCP counseling on PA is not common. Objective This study aimed to assess the feasibility of implementing an electronic health (eHealth) tool to support PA counseling by PCPs and estimate intervention effectiveness on patients’ PA levels. Methods A pragmatic pilot study was conducted using a stepped wedge cluster randomized trial design. The study was conducted at a single primary care clinic, with 4 pre-existing PCP teams. Adult patients who had a periodic health review (PHR) scheduled during the study period were invited to participate. The eHealth tool involved an electronic survey sent to participants before their PHR via an email or a tablet; data were used to automatically produce tailored resources and a PA prescription in the electronic medical record of participants in the intervention arm. Participants assigned to the control arm received usual care from their PCP. Feasibility was assessed by the proportion of completed surveys and patient-reported acceptability and fidelity measures. The primary effectiveness outcome was patient-reported PA at 4 months post-PHR, measured as metabolic equivalent of task (MET) minutes per week. Secondary outcomes assessed determinants of PA, including self-efficacy and intention to change based on the Health Action Process Approach behavior change theory. Results A total of 1028 patients receiving care from 34 PCPs were invited to participate and 530 (51.55%) consented (intervention [n=296] and control [n=234]). Of the participants who completed a process evaluation, almost half (88/178, 49.4%) stated they received a PA prescription, with only 42 receiving the full intervention including tailored resources from their PCP. A cluster-level linear regression analysis yielded a non–statistically significant positive difference in MET-minutes reported per week at follow-up between intervention and control conditions (mean difference 1027; 95% CI −155 to 2209; P=.09). No statistically significant differences were observed for secondary outcomes. Conclusions Our results suggest that it is feasible to build an eHealth tool that screens and provides tailored resources for PA in a primary care setting but suboptimal intervention fidelity suggests greater work must be done to address PCP barriers to resource distribution. Participant responses to the primary effectiveness outcome (MET-minutes) were highly variable, reflecting a need for more robust measures of PA in future trials to address limitations in patient-reported data. Trial Registration ClinicalTrials.gov NCT03181295; https://clinicaltrials.gov/ct2/show/NCT03181295


1994 ◽  
Vol 26 (Supplement) ◽  
pp. S5 ◽  
Author(s):  
BJ. Long ◽  
KJ. Calfas ◽  
J. F. Sallis ◽  
K. Patrick ◽  
B. Dannstadler ◽  
...  

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