Exploring the interpersonal collaboration during the integration of diabetes teams into primary care.

10.32920/14641230.v1 ◽

2021 ◽

Author(s):

Enza Gucciardi ◽

Sherry Espin ◽

Antonia Morganti ◽

Linda Dorado

Keyword(s):

Primary Care ◽

Primary Care Physicians ◽

Diabetes Management ◽

Interprofessional Collaboration ◽

Diabetes Education ◽

Knowledge Exchange ◽

Management Training ◽

New Ways Of Working ◽

Positive Effects ◽

Diabetes Educators

Background Specialised diabetes teams, specifically certified nurse and dietitian diabetes educator teams, are being integrated part-time into primary care to provide better care and support for Canadians living with diabetes. This practice model is being implemented throughout Canada in an effort to increase patient access to diabetes education, self-management training, and support. Interprofessional collaboration can have positive effects on both health processes and patient health outcomes, but few studies have explored how health professionals are introduced to and transition into this kind of interprofessional work. Method Data from 18 interviews with diabetes educators, 16 primary care physicians, 23 educators’ reflective journals, and 10 quarterly debriefing sessions were coded and analysed using a directed content analysis approach, facilitated by NVIVO software. Results Four major themes emerged related to challenges faced, strategies adopted, and benefits observed during this transition into interprofessional collaboration between diabetes educators and primary care physicians: (a) negotiating space, place, and role; (b) fostering working relationships; (c) performing collectively; and (d) enhancing knowledge exchange. Conclusions Our findings provide insight into how healthcare professionals who have not traditionally worked together in primary care are collaborating to integrate health services essential for diabetes management. Based on the experiences and personal reflections of participants, establishing new ways of working requires negotiating space and place to practice, role clarification, and frequent and effective modes of formal and informal communication to nurture the development of trust and mutual respect, which are vital to success.

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EVALUATION OF DIABETES SELF-MANAGEMENT EDUCATION IN PATIENTS WITH CONCOMITANT CHRONIC KIDNEY DISEASE

Wiadomości Lekarskie ◽

10.36740/wlek202010112 ◽

2020 ◽

Vol 73 (10) ◽

pp. 2170-2174

Author(s):

Oleksii M. Korzh

Keyword(s):

Primary Care ◽

Primary Care Physicians ◽

Management Training ◽

Cross Sectional Study ◽

Self Management ◽

Average Score ◽

Cross Sectional ◽

Self Monitoring ◽

Diabetes Educators

The aim: Was to evaluate the quality of DSME provided by primary care physicians to people with diabetes mellitus. Materials and methods: A descriptive cross-sectional study was conducted among 120 primary care physicians. The quality of diabetes self-management training provided by physicians was assessed on a personal scale of 39 Likert questions obtained from the American Association of Diabetes Educators in seven areas of diabetes self-monitoring. The Cronbach’s reliability coefficient for each domain / subscale was ≥ 0.7. The data were analyzed using an independent selective t-test and one-way ANOVA. Results: More than half of the doctors provided “inadequate quality” of diabetes self-management in all areas. Doctors had the highest average score in the domain of “drug intake” (4.46 ± 0.61). Average scores in the “problem-solving domain” (3.52 ± 0.63) and “ being active domain” (3.46 ± 0.75) were low. The quality of DSME provided by physicians was not related to any of the characteristics of the physician. Conclusions: The quality of doctors’ communication on DSME in this study was suboptimal. Most adequately informed cases of diabetic behavior associated with self-management have been associated with reduced risk factors and an orientation towards disease. Thus, training of primary care physicians in diabetic self-management is recommended because of the key role that these doctors play in managing diabetes.

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Reliability and Validity A Quick Review

The Diabetes Educator ◽

10.1177/0145721707308172 ◽

2007 ◽

Vol 33 (5) ◽

pp. 775-780 ◽

Cited By ~ 34

Author(s):

Karen Fitzner

Keyword(s):

Construct Validity ◽

External Validity ◽

Diabetes Education ◽

Reliability And Validity ◽

Management Training ◽

Self Management ◽

Validity Testing ◽

Education Practice ◽

Rigorous Testing ◽

Diabetes Educators

The purpose of this article is to provide a brief review of reliability and validity testing. These concepts are important to researchers who are choosing techniques and/or developing tools that will be applied and evaluated in diabetes education practice. Several types of reliability and validity testing are defined, and an easy-to-use check sheet is provided for research purposes. Following testing for the basic aspects of reliability and validity such as face and construct validity, a tool may be appropriate for use in practice settings. Those conducting comprehensive outcomes evaluations, however, may desire additional validation such as testing for external validity. Diabetes educators can and should incorporate rigorous testing for these important aspects when conducting assessments of techniques and tools relating to diabetes self-management training.

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Attitudes towards interprofessional collaboration among primary care physicians and nurses in Singapore

Journal of Interprofessional Care ◽

10.3109/13561820.2016.1160039 ◽

2016 ◽

Vol 30 (4) ◽

pp. 505-511 ◽

Cited By ~ 17

Author(s):

Ruth Mingli Zheng ◽

Yu Fan Sim ◽

Gerald Choon-Huat Koh

Keyword(s):

Primary Care ◽

Primary Care Physicians ◽

Interprofessional Collaboration

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PT332 An Integrated Potential Monitoring System for the Pan-India Capacity Building Initiative for Primary Care Physicians in Non-Communicable Diseases- Evidence Based Diabetes Management

Global Heart ◽

10.1016/j.gheart.2014.03.2062 ◽

2014 ◽

Vol 9 (1) ◽

pp. e231

Author(s):

Rakesh Mehra ◽

Shivangi Vats ◽

Shreyas Sharma

Keyword(s):

Primary Care ◽

Capacity Building ◽

Monitoring System ◽

Primary Care Physicians ◽

Diabetes Management ◽

Communicable Diseases ◽

Evidence Based ◽

Non Communicable Diseases ◽

Potential Monitoring

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An Overview of Diabetes Management in Schizophrenia Patients: Office Based Strategies for Primary Care Practitioners and Endocrinologists

International Journal of Endocrinology ◽

10.1155/2015/969182 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 15

Author(s):

Aniyizhai Annamalai ◽

Cenk Tek

Keyword(s):

Primary Care ◽

Primary Care Physicians ◽

Behavioral Interventions ◽

Diabetes Management ◽

Psychotropic Medications ◽

Antipsychotic Medications ◽

Multiple Factors ◽

Metabolic Conditions ◽

Treatment Of Diabetes ◽

Primary Care Practitioners

Diabetes is common and seen in one in five patients with schizophrenia. It is more prevalent than in the general population and contributes to the increased morbidity and shortened lifespan seen in this population. However, screening and treatment for diabetes and other metabolic conditions remain poor for these patients. Multiple factors including genetic risk, neurobiologic mechanisms, psychotropic medications, and environmental factors contribute to the increased prevalence of diabetes. Primary care physicians should be aware of adverse effects of psychotropic medications that can cause or exacerbate diabetes and its complications. Management of diabetes requires physicians to tailor treatment recommendations to address special needs of this population. In addition to behavioral interventions, medications such as metformin have shown promise in attenuating weight loss and preventing hyperglycemia in those patients being treated with antipsychotic medications. Targeted diabetes prevention and treatment is critical in patients with schizophrenia and evidence-based interventions should be considered early in the course of treatment. This paper reviews the prevalence, etiology, and treatment of diabetes in schizophrenia and outlines office based interventions for physicians treating this vulnerable population.

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Health Care Professionals� Clinical Perspectives on Glycemic Control and Satisfaction With a New Blood Glucose Meter With a Color Range Indicator: Online Evaluation in India, Russia, China, and the United States (Preprint)

10.2196/preprints.9143 ◽

2017 ◽

Author(s):

Mike Grady ◽

Laurence Barry Katz ◽

Pamela Anderson ◽

Brian Leonard Levy

Keyword(s):

United States ◽

Primary Care ◽

Health Care ◽

Blood Glucose ◽

Health Care Professionals ◽

Primary Care Physicians ◽

The United States ◽

Color Features ◽

Glucose Meter ◽

Diabetes Educators

BACKGROUND We previously demonstrated in patients with diabetes that displaying blood glucose results in association with color improved their ability to interpret glucose results. OBJECTIVE The objective of this study was to investigate the perceptions of health care professionals (HCPs) in specific countries about the value of color on a new glucose meter and to determine if HCP perspectives among countries differ on the value of this approach in clinical practice. METHODS A total of 180 HCPs, including 105 endocrinologists, 34 primary care physicians, 25 diabetes educators, and 16 pharmacists, were recruited from India (n=50), Russia (n=50), China (n=50), and the United States (n=30). These HCPs experienced the OneTouch Select Plus Simple glucose meter online from their own office computer using interactive demonstrations (webpages, meter simulator, and video clips). After providing demographic and current clinical practice insights, HCPs responded to questions about the utility of the color-enhanced glucose meter. RESULTS Mean age and years in their current professional role for the 180 HCPs was 41.3 (SD 8.1) and 13.3 (SD 6.8) years for endocrinologists, 41.3 (SD 8.3) and 14.1 (SD 6.8) years for primary care physicians, 37.5 (SD 8.7) and 12.7 (SD 6.8) years for diabetes educators, and 35.9 (SD 5.3) and 9.5 (SD 5.2) years for pharmacists. In all, 88% (44/50) of Russian and 83% (25/30) of American HCPs said their patients find it easy to recognize low, in-range, or high blood glucose results compared to 56% (28/50) of HCPs in China and 42% (21/50) in India. Regardless of country, HCPs had less confidence that their patients act on blood glucose results with 52% (26/50) in Russia, 63% (19/30) in the United States, 60% (30/50) in China, and 40% (20/50) in India responding positively. During the interactive online meter experience, HCPs from all countries responded positively to questions about a meter with color features. After reflecting on the value of this meter, most HCPs strongly agreed or agreed their patients would be more inclined to act on results using a meter with color features (Russia: 92%, 46/50; United States: 70%, 21/30; China: 98%, 49/50; India: 94%, 47/50). They also said that color was particularly useful for patients with lower numeracy or education who may struggle with interpreting results (Russia: 98%, 49/50; United States: 77%, 23/30; China: 100%, 50/50; India: 82%, 41/50). CONCLUSIONS This multicountry online study provides evidence that HCPs had high overall satisfaction with the OneTouch Select Plus glucose meter, which uses color-coded information to assist patients with interpreting blood glucose results. This may be especially helpful in patient populations with low numeracy or literacy and limited access to health care and direct interaction with HCPs.

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Agent-based Decision Support for Pain Management in Primary Care Settings

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2019/943 ◽

2019 ◽

Author(s):

Xu Guo ◽

Han Yu ◽

Chunyan Miao ◽

Yiqiang Chen

Keyword(s):

Primary Care ◽

Decision Support ◽

Pain Management ◽

Primary Care Physicians ◽

Quality Care ◽

Management Training ◽

Clinical Decision ◽

General Purpose ◽

Agent Based ◽

Provide Quality Care

The lack of systematic pain management training and support among primary care physicians (PCPs) limits their ability to provide quality care for patients with pain. Here, we demonstrate an Agent-based Clinical Decision Support System to empower PCPs to leverage knowledge from pain specialists. The system learns a general-purpose representation space on patients, automatically diagnoses pain, recommends therapy and medicine, and suggests a referral program to PCPs in their decision-making tasks.

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