Providing Diabetes Self-Management Support in Rural Primary Care Clinics With Nurse Partners

2012 ◽  
Vol 34 (8) ◽  
pp. 1023-1042 ◽  
Author(s):  
Molly Vetter-Smith ◽  
Joseph LeMaster ◽  
Joshua Olsberg ◽  
Robin Kruse ◽  
Tamara Day ◽  
...  
2009 ◽  
Vol 35 (5) ◽  
pp. 843-850 ◽  
Author(s):  
Amer A. Kaissi ◽  
Michael Parchman

Purpose The purpose of this article is to examine the relationship between organizational characteristics as measured by the Chronic Care Model (CCM) and patient self-management behaviors among patients with type 2 diabetes. Methods The study design was cross-sectional. The study setting included 20 primary care clinics from South Texas. The sample included approximately 30 consecutive patients that were enrolled from each clinic for a sample of 617 patients. For the data collection procedures, the CCM survey was completed by caregivers in the clinic. Self-management behaviors were obtained from patient exit surveys. For measures, the CCM consisted of 6 structural dimensions: (1) organization support, (2) community linkages, (3) self-management support, (4) decision support system, (5) delivery system design, and (6) clinical information systems. Patient self-management behavior included whether the patient reported always doing all 4 of the following behaviors as they were instructed: (1) checking blood sugars, (2) following diabetes diet, (3) exercising, and (4) taking medications. For data analyses, to account for clustering of patients within clinics, hierarchical logistic regression models were used. Results Self-management support was positively associated with medication adherence, while decision support system was positively associated with exercise and all 4 self-management behaviors. Surprisingly, community linkages were negatively associated with medication adherence, while clinical information system was negatively associated with diet and all 4 behaviors. A total score, including all dimensions, was positively associated with only exercise. Conclusions Health care providers and diabetes educators in primary care clinics should consider how organizational characteristics of the clinic might influence self-management behaviors of patients. The focus should be on better access to evidence-based information at the point of care and self-management needs and activities.


2010 ◽  
Vol 36 (12) ◽  
pp. 561-570 ◽  
Author(s):  
Malcolm Battersby ◽  
Michael Von Korff ◽  
Judith Schaefer ◽  
Connie Davis ◽  
Evette Ludman ◽  
...  

2006 ◽  
Author(s):  
Matthew Hunsaker ◽  
Michael Glasser ◽  
Kim Nielsen ◽  
martin lipsky

2021 ◽  
Author(s):  
HyoRim Ju ◽  
EunKyo Kang ◽  
YoungIn Kim ◽  
HyunYoung Ko ◽  
Belong Cho

BACKGROUND As the global burden of chronic conditions increases, effective management for these are a concern. There is an increasing need for chronic condition management using mobile self-management healthcare applications. OBJECTIVE This study evaluated the effectiveness of a mobile self-management healthcare application combined with human coaching for primary care services in patients with chronic conditions. METHODS A total of 110 patients with hypertension, diabetes, dyslipidemia, and/or metabolic syndrome who visited one of 17 participating primary care clinics from September 2020 to November 2020 were included in this study. Data regarding changes in body weight, sleep conditions, quality of life, depression, anxiety, stress, body mass index, waist circumference, blood sugar levels, blood pressure, and blood lipids levels were recorded. The intervention group (N=65) used a mobile self-management healthcare application with human coaching for 12 weeks, and the control group (N=45) underwent conventional, self-managed health care. RESULTS Patients in the intervention group reported significantly more weight loss than those in the control group (P=.002). The weight loss was markedly greater after using application for nine weeks than using it for four weeks or five to eight weeks (P=.002). Patients in the intervention group reported better sleep quality (P=.04) and duration (P=.004) than those in the control group. CONCLUSIONS The combination of a mobile self-management healthcare application and human coaching in primary care clinics results in better management of chronic conditions. The observed weight loss was greater and sleep quality improved than conventional primary care for patients with at least one chronic condition.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Katrien Danhieux ◽  
Veerle Buffel ◽  
Anthony Pairon ◽  
Asma Benkheil ◽  
Roy Remmen ◽  
...  

Abstract Background The COVID-19 pandemic affects the processes of routine care for chronic patients. A better understanding helps to increase resilience of the health system and prepare adequately for next waves of the pandemic. Methods A qualitative study was conducted in 16 primary care practices: 6 solo working, 4 monodisciplinary and 7 multidisciplinary. Twenty-one people (doctors, nurses, dieticians) were interviewed, using semi-structured video interviews. A thematic analysis was done using the domains of the Chronic Care Model (CCM). Results Three themes emerged: changes in health care organization, risk stratification and self-management support. All participating practices reported drastic changes in organization with a collective shift towards COVID-19 care, and reduction of chronic care activities, less consultations, and staff responsible for self-management support put on hold. A transition to digital support did not occur. Few practitioners had a systematic approach to identify and contact high-risk patients for early follow-up. A practice with a pre-established structured team collaboration managed to continue most chronic care elements. Generally, practitioners expected no effects of the temporary disruption for patients, although they expressed concern about patients already poorly regulated. Conclusion Our findings show a disruption of the delivery of chronic care in the Belgium prim care context. In such contexts, the establishment of the CCM can facilitate continuity of care in crisis times. Short term actions should be directed to facilitate identifying high-risk patients and to develop a practice organization plan to organize chronic care and use digital channels for support, especially to vulnerable patients, during next waves of the epidemic.


2019 ◽  
Vol 31 (7) ◽  
pp. 37-43 ◽  
Author(s):  
Ming Tsuey Lim ◽  
Yvonne Mei Fong Lim ◽  
Xin Rou Teh ◽  
Yi Lin Lee ◽  
Siti Aminah Ismail ◽  
...  

Abstract Objective To determine the extent of self-management support (SMS) provided to primary care patients with type 2 diabetes (T2D) and hypertension and its associated factors. Design Cross-sectional survey conducted between April and May 2017. Setting Forty public clinics in Malaysia. Participants A total of 956 adult patients with T2D and/or hypertension were interviewed. Main Outcome Measures Patient experience on SMS was evaluated using a structured questionnaire of the short version Patient Assessment of Chronic Illness Care instrument, PACIC-M11. Linear regression analysis adjusting for complex survey design was used to determine the association of patient and clinic factors with PACIC-M11 scores. Results The overall PACIC-M11 mean was 2.3(SD,0.8) out of maximum of 5. The subscales’ mean scores were lowest for patient activation (2.1(SD,1.1)) and highest for delivery system design/decision support (2.9(SD,0.9)). Overall PACIC-M11 score was associated with age, educational level and ethnicity. Higher overall PACIC-M11 ratings was observed with increasing difference between actual and expected consultation duration [β = 0.01; 95% CI (0.001, 0.03)]. Better scores were also observed among patients who would recommend the clinic to friends and family [β = 0.19; 95% CI (0.03, 0.36)], when health providers were able to explain things in ways that were easy to understand [β = 0.34; 95% CI (0.10, 0.59)] and knew about patients’ living conditions [β = 0.31; 95% CI (0.15, 0.47)]. Conclusions Our findings indicated patients received low levels of SMS. PACIC-M11 ratings were associated with age, ethnicity, educational level, difference between actual and expected consultation length, willingness to recommend the clinic and provider communication skills.


2019 ◽  
Vol 32 (2) ◽  
pp. 157-163
Author(s):  
Pamela Jo Johnson ◽  
Mollie O’Brien ◽  
Dimpho Orionzi ◽  
Lovel Trahan ◽  
Todd Rockwood

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