760-P: Telephonic Coaching Is Associated with Improved Patient Activation in Diabetes Self-Management

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 760-P
Author(s):  
ANN BUSKIRK ◽  
WILLIAM C. BIGGS ◽  
LENA BORSA ◽  
MAUREEN R. LYDEN ◽  
CHRISTOPHER PARKIN
Keyword(s):  
Patient Activation ◽  
Self Management ◽  
Telephonic Coaching

Abstract P76: Effect of Patient Activation on Self-Management Behaviors in Heart Failure

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Martha Shively ◽  
Nancy Gardetto ◽  
Mary Kodiath ◽  
Ann Kelly ◽  
Tom Smith
Keyword(s):  
Heart Failure ◽  
Usual Care ◽  
Repeated Measures ◽  
Intervention Group ◽  
Patient Activation ◽  
Self Care ◽  
Self Report ◽  
Self Management ◽  
Significant Group ◽  
Repeated Measures Design

Background Disease management and chronic care models have evidenced success with heart failure (HF) patients but have not fully explored patients' engagement/activation in self- care. Objective Determine efficacy of a patient activation intervention (Heart PACT Program) compared to usual care on activation and self-care management in HF. Methods This study was a 4-year, randomized, 2-group, repeated-measures design (baseline, 3 months, and 6 months). Following consent, 84 patients were stratified by activation level and randomly assigned to usual care (n = 41), or usual care plus the activation intervention (n = 43). The primary outcome variables were patient activation using the Patient Activation Measure (PAM) (Hibbard et al., 2005), and self-care using the Self-Care for Heart Failure Index (SCHFI) (Riegel et al., 2004) and the Medical Outcomes Study (MOS) Specific Adherence Scale. The intervention consisted of individual meetings and phone call follow-up over 6 months based on the patient's level of activation: stage 1 or 2 (low activation), stage 3 (medium), or stage 4 (high) as assessed by the patient's self-report PAM score and brief interview. The leaders collaborated with patients to improve activation and self-management of HF: adhering to medications; monitoring weight, blood pressure, and symptoms; and implementing health behavior goals. Findings Participants were primarily male (99%), Caucasian (77%), and classified as NYHA III (52%). The mean age was 66 years (SD 11). The majority (71%) of participants reported 3 or more comorbid conditions. The intervention group compared to the usual care group showed a significant increase in activation/PAM scores from baseline to 6 months (significant group by time interaction linear contrast, F=16.90, p=.02). Although the baseline MOS mean was lower in the intervention group, results revealed a significant group by time effect (F=9.16, p = .001) with the intervention group improving more over time. There were no significant group by time interactions for the SCHFI. Conclusion Patient activation can be improved through targeted intervention. The patient activation model has the potential to change approaches to tailored patient education for self-management in heart failure.

Changes in Patient Activation in a Self-Management Intervention

2019 ◽  
Vol 42 (3) ◽  
pp. 194-200
Author(s):  
Leeza A. Struwe ◽  
Myra S. Schmaderer ◽  
Lani Zimmerman
Keyword(s):  
Health Care ◽  
Patient Activation ◽  
Self Management ◽  
Outcome Analysis ◽  
Care Utilization ◽  
Individual Change ◽  
Point Change ◽  
Change Scores ◽  
Management Intervention ◽  
The Impact

The purpose of this study was to compare results using individual change in level of patient activation measure (PAM) scores, individual point change scores, and group means in an outcome analysis. We evaluated changes in PAM scores (increase in level or increase of ≥5 points) to mean group PAM scores on patients who completed a self-management intervention compared with usual care on health care utilization and health-related quality of life. The sample was a subset of 91 multimorbid patients with complete data at completion of a self-management intervention. Results indicated that using a change in points allowed for more refined analysis of change compared with level changes; however, both individual measures were more reflective of actual change than group means. When tailoring interventions, we should consider using individual change scores. Further research is needed to evaluate how best to use PAM scores to measure the impact on clinical and health care outcomes.

Increasing patient activation through diabetes self-management education: Outcomes of DESMOND in regional Western Australia

2020 ◽  
Vol 103 (4) ◽  
pp. 848-853 ◽  
Author(s):  
Venus M. Miller ◽  
Melanie J. Davies ◽  
Christopher Etherton-Beer ◽  
Sophie McGough ◽  
Deborah Schofield ◽  
...  
Keyword(s):  
Western Australia ◽  
Management Education ◽  
Patient Activation ◽  
Self Management ◽  
Education Outcomes

scholarly journals Using the patient activation measure to examine the self-management support needs of a population of UK workers with long-term health conditions

2021 ◽  
pp. 174239532110434
Author(s):  
Sally Hemming ◽  
Fehmidah Munir
Keyword(s):  
Mental Health ◽  
Patient Activation ◽  
Health Conditions ◽  
Self Management ◽  
Support Needs ◽  
Management Support ◽  
Long Term Conditions ◽  
Mental Health Conditions ◽  
Patient Activation Measure

Objectives To examine differences in patient activation and self-management support needs in a population of UK workers with long-term health conditions. Methods Demographic, health and activation information were taken from the data of participants with long-term conditions, collected via an online cross-sectional survey of workers. The 13-item British patient activation measure measured workers knowledge, skills and confidence towards self-managing. Results Three hundred and seven workers with mental health, musculoskeletal and other conditions completed the patient activation measure. Mental health conditions were most prevalent (36.8%). Workers were higher activated, however workers with mental health conditions were significantly less activated ( p = 0.006). Differences in activation by condition severity and age were revealed. Discussion This study provides insight to the activation of UK workers with long-term conditions. Whilst workers with mental health conditions need more training and education to self-manage, workers are variably activated indicating broader support needs. There is a gap for workplace self-management support. The patient activation measure is used in healthcare to improve people’s self-management and should be considered to be included in the workplace, and could form part of interventions to support workers self-management. More rigorous studies, including the patient activation measure, are needed to identify the best approaches to identifying workers self-management support needs.

scholarly journals A socioecological perspective : the "ups and downs" of living with type 2 diabetes among working adults in the rural south

2019 ◽  
Author(s):  
◽  
Lynn E. Glenn
Keyword(s):  
Type 2 Diabetes ◽  
Health Services ◽  
Health Care Providers ◽  
Preventive Health Services ◽  
Patient Activation ◽  
Preventive Health ◽  
Self Management ◽  
Care Providers ◽  
Working Adults

Persons with higher patient activation levels are more likely to engage in preventive health behaviors. This qualitative study addressed a population that may be particularly vulnerable to poor diabetes outcomes: rural, working adults with type 2 diabetes (T2 DM) with low levels of patient activation. This study sought to gain a better understanding of the individual, interpersonal, health system, and community spheres of influence on engagement in diabetes self-management and recommended preventive health services among rural, working adults. A socioecological approach, based on Fisher's (2005) Resources and Supports for Self-Management Model, guided the study. The Patient Activation Measure (PAM-10) was used to identify individuals with low patient activation. Participants (N = 20) had PAM-10 scores less than 75 (M = 59.4) and were predominately African American (n = 12) and female (n = 14), earning incomes less than $50,000 (n = 13). The overarching theme, "ups and downs" of living with diabetes, emerged from the data. Four other major themes emerged: "the struggle", "you don't talk about it", "diabetes is not the priority", and "we're lucky to have what we have". Most participants had social support, employer health benefits, and a trusting, satisfactory relationship with health care providers. However, a lack of equitable workplace and community resources may have contributed to lack of engagement in diabetes self-management and preventive health services.

scholarly journals Relationships between activation level, knowledge, self-efficacy, and self-management behavior in heart failure patients discharged from rural hospitals

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 150 ◽  
Author(s):  
Van Do ◽  
Lufei Young ◽  
Sue Barnason ◽  
Hoang Tran
Keyword(s):  
Heart Failure ◽  
Rural Areas ◽  
Self Efficacy ◽  
Hospital Readmissions ◽  
Patient Activation ◽  
Rural Hospitals ◽  
Self Management ◽  
Heart Failure Patients ◽  
Activation Level ◽  
Management Behaviors

Non-adherence to self-management guidelines accounted for 50% of hospital readmissions in heart failure patients. Evidence showed that patient activation affects self-management behaviors in populations living with chronic conditions. The purpose of this study was to describe patient activation level and its relationship with knowledge, self-efficacy and self-management behaviors in heart failure patients discharged from rural hospitals. Our study populations were recruited from two hospitals in rural areas of Nebraska. We found that two-thirds of the participants reported low activation levels (e.g., taking no action to manage their heart failure condition). In addition, low patient activation levels were associated with inadequate heart failure knowledge (p=.005), low self-efficacy (p<.001) and low engagement in heart failure self-management behaviors (p<.001) after discharge from hospital.

scholarly journals Outcomes of a 12-month patient-centred medical home model in improving patient activation and self-management behaviours among primary care patients presenting with chronic diseases in Sydney, Australia: A before-and-after study.

2020 ◽  
Author(s):  
James John ◽  
Kathy Tannous ◽  
Amanda Jones
Keyword(s):  
Chronic Diseases ◽  
Medical Home ◽  
Multivariate Regression ◽  
Regression Models ◽  
Patient Activation ◽  
Self Management ◽  
Before And After ◽  
General Practices ◽  
Sydney Australia

Abstract Background: Studies report that increased patient activation is associated with increased patient engagement with the health care system, better adherence to treatment protocols, and improved health outcomes. This study aims to evaluate outcomes based on a 12-month Patient-Centred Medical Home (PCMH) model called ‘WellNet’ on activation levels of patients with one or more chronic diseases in general practices across Sydney, Australia.Methods: A total of 636 patients aged 40 years and above with one or more chronic conditions consented to participate in the WellNet program delivered across six general practices in Northern Sydney, Australia. The WellNet treatment includes a team-based care with general physicians and trained chronic disease management care coordinators collaborating with patients in designing a patient-tailored care plan with improved self-management support and care navigation according to the level of risk and health care needs. Level of patient activation was measured using the validated PAM 13-item scale at baseline and follow-up. A before and after case-series design was employed to determine adjusted differences between baseline and 12-months using repeated measures analysis of covariance (ANCOVA). Multiple imputation was used to compute missing follow-up scores using Markov Chain Monte Carlo (MCMC) algorithm known as fully conditional specification (FCS). Additionally, backward stepwise multivariate regression models were employed to identify significant predictors of activation at follow-up.Results: Of the 626 patients, 420 reported their PAM scores at follow-up. The mean (SD) baseline PAM score was 57.9 (13.0). The adjusted model showed significant mean difference in PAM scores of 6.5 (95% CI 5.0-8.1; p-value<0.001) after controlling for baseline covariates. Multivariate regression models showed that older age (B = -0.14; 95% CI -0.28, -0.01), baseline activation score (B = 0.48; 95% CI 0.37, 0.59), and private insurance (uninsured patients) (B = -3.41; 95% CI -6.50, -0.32) were significant predictors of patient activation at follow-up.Conclusion: The WellNet study is the first of its kind in Australia to report on changes in the patient activation levels among patients with one or more chronic diseases. PCMH has the potential to improve patient activation and engagement which can lead to long-term health benefits and sustained self-management behaviours.

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