scholarly journals Self-Management Education Class Attendance and Health Care Provider Counseling for Physical Activity Among Adults with Arthritis — United States, 2019

2021 ◽  
Vol 70 (42) ◽  
pp. 1466-1471
Author(s):  
Lindsey M. Duca ◽  
Charles G. Helmick ◽  
Kamil E. Barbour ◽  
Dana Guglielmo ◽  
Louise B. Murphy ◽  
...  
2019 ◽  
pp. 174239531986943
Author(s):  
Louise B Murphy ◽  
Kristina A Theis ◽  
Teresa J Brady ◽  
Jeffrey J Sacks

Objective Self-management education programs are recommended for many chronic conditions. We studied which adults with arthritis received a health care provider’s recommendation to take a self-management education class and who attended. Methods We analyzed data from a 2005--2006 national telephone survey of US adults with arthritis ≥45 years ( n = 1793). We used multivariable-adjusted prevalence ratios (PR) from logistic regression models to estimate associations with: (1) receiving a health care provider recommendation to take a self-management education class; and (2) attending a self-management education class. Results Among all adults with arthritis: 9.9% received a health care provider recommendation to take an self-management education class; 9.7% attended a self-management education class. Of those receiving a recommendation, 52.0% attended a self-management education class. The strongest association with self-management education class attendance was an health care provider recommendation to take one (PR = 8.9; 95% CI = 6.6–12.1). Conclusions For adults with arthritis, a health care provider recommendation to take a self-management education class was strongly associated with self-management education class attendance. Approximately 50% of adults with arthritis have ≥1 other chronic conditions; by recommending self-management education program attendance, health care providers may activate patients’ self-management behaviors. If generalizable to other chronic conditions, this health care provider recommendation could be a key influencer in improving outcomes for a range of chronic conditions and patients’ quality of life.


2018 ◽  
Vol 66 (5152) ◽  
pp. 1398-1401 ◽  
Author(s):  
Jennifer M. Hootman ◽  
Louise B. Murphy ◽  
John D. Omura ◽  
Teresa J. Brady ◽  
Michael Boring ◽  
...  

Author(s):  
Wilhelm Erber ◽  
Tamara Vuković-Janković

Very limited information is available for Bosnia showing the occurrence of TBE Even though there have been some elder case reports in the northern parts of the country, including alimentary infections, details have not been published. In early 1996 United States military forces were deployed to Bosnia as part of Operation Joint Endeavor. Only 4 (0.42%) unvaccinated individuals, all males, demonstrated a 4-fold seroconversion. All 4 seemingly were infected with TBE virus (or a closely-related variant) during their 6–9-month deployment period in Bosnia, but did not report with symptoms to any health care provider.


2020 ◽  
Vol 33 (2) ◽  
pp. 198-210
Author(s):  
Tricia Tang ◽  
Danielle Hessler ◽  
William H. Polonsky ◽  
Lawrence Fisher ◽  
Beverly Reed ◽  
...  

2016 ◽  
Vol 181 (2) ◽  
pp. 136-142 ◽  
Author(s):  
Paul Sargent ◽  
Jeffrey Millegan ◽  
Eileen Delaney ◽  
Scott Roesch ◽  
Martha Sanders ◽  
...  

2020 ◽  
Vol 135 (1_suppl) ◽  
pp. 100S-127S ◽  
Author(s):  
Bahareh Ansari ◽  
Katherine M. Tote ◽  
Eli S. Rosenberg ◽  
Erika G. Martin

Objectives In the United States, rising rates of overdose deaths and recent outbreaks of hepatitis C virus and HIV infection are associated with injection drug use. We updated a 2014 review of systems-level opioid policy interventions by focusing on evidence published during 2014-2018 and new and expanded opioid policies. Methods We searched the MEDLINE database, consistent with the 2014 review. We included articles that provided original empirical evidence on the effects of systems-level interventions on opioid use, overdose, or death; were from the United States or Canada; had a clear comparison group; and were published from January 1, 2014, through July 19, 2018. Two raters screened articles and extracted full-text data for qualitative synthesis of consistent or contradictory findings across studies. Given the rapidly evolving field, the review was supplemented with a search of additional articles through November 17, 2019, to assess consistency of more recent findings. Results The keyword search yielded 535 studies, 66 of which met inclusion criteria. The most studied interventions were prescription drug monitoring programs (PDMPs) (59.1%), and the least studied interventions were clinical guideline changes (7.6%). The most common outcome was opioid use (77.3%). Few articles evaluated combination interventions (18.2%). Study findings included the following: PDMP effectiveness depends on policy design, with robust PDMPs needed for impact; health insurer and pharmacy benefit management strategies, pill-mill laws, pain clinic regulations, and patient/health care provider educational interventions reduced inappropriate prescribing; and marijuana laws led to a decrease in adverse opioid-related outcomes. Naloxone distribution programs were understudied, and evidence of their effectiveness was mixed. In the evidence published after our search’s 4-year window, findings on opioid guidelines and education were consistent and findings for other policies differed. Conclusions Although robust PDMPs and marijuana laws are promising, they do not target all outcomes, and multipronged interventions are needed. Future research should address marijuana laws, harm-reduction interventions, health insurer policies, patient/health care provider education, and the effects of simultaneous interventions on opioid-related outcomes.


2018 ◽  
Vol 1 (1) ◽  
pp. 1-20
Author(s):  
Andi Mayasari Usman ◽  
Rian Adi Pamungkas

Diabetes mellitus is one of the global problems the world. Since the complexity of the patient’s tasks is required in the diabetes care, the consistency to engage this various health behavior for addressing the glycemic control target is difficult to achieve. Failure management may reflect by patient, family, inadequate intervention strategies by health care provider as well as organization factor. Three databases used such as PubMed, MIDLINE, and CINAHL to address patient’s barriers, family’s barriers, and provider’s barriers as well as organization barriers for diabetes management. Patient’s attitudes and belief, knowledge, culture, and ethnicity, self-efficacy, financial resources and economic status, lack of Social Support Perceived, and lack of time may influence the diabetes self-management. Family factors lead to patients’ diabetes self-management such as lack of knowledge and skill to support patients in diabetes management and quality of the relationship between patients-family. Health care providers factors included beliefs, attitudes, knowledge and skill and patient–family-provider interaction and communication. Other factors lead to diabetes self-management and health care provider performance to provide the intervention from organization level such as integrated health system sufficiency health insurance to support resources. A deeper understanding of the barriers in diabetes management is necessary to improve the diabetes care and quality of health care services for patients with diabetes. Further research needs to consider these barriers before designing the effective, sensitive interventions and problem solving for diabetes care


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