Association between patient activation and patient‐assessed quality of care in type 2 diabetes: results of a longitudinal study

Aung, Eindra; Donald, Maria; Coll, Joseph R.; Williams, Gail M.; Doi, Suhail A.R.

doi:10.1111/hex.12359

Cited by 32 publications

(35 citation statements)

References 47 publications

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“…In fact, our patients' overall score (computed over the 20‐item PACIC) is in agreement with those reported in several other studies. For example, Aung et al, who conducted a population‐based study in Australia including type 2 patients, found a score of 2.4 at baseline . In Denmark, a similar overall score was reported, but, contrary to our study, participants were recruited in primary care practices, yet mean age and sex of participants were similar to our sample .…”

Section: Discussionsupporting

confidence: 53%

Diabetes care: Comparison of patients' and healthcare professionals' assessment using the PACIC instrument

Gijs

Zuercher

Henry

et al. 2017

Evaluation Clinical Practice

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Rationale, aims and objective Whereas the Patient Assessment of Chronic Illness Care (PACIC) instrument measures the extent to which care received by patients is congruent with the Chronic Care Model, the 5As model emphasizes self‐management and community resources, 2 key components of the Chronic Care Model. We aimed at comparing evaluation of diabetes care, as reported by patients with diabetes and healthcare professionals (HCPs), using these instruments. Methods Two independent samples, patients with diabetes (n = 395) and HCPs (including primary and secondary care physicians and nurses; n = 287), responded to the 20‐item PACIC and the six 5As model questions. The PACIC‐5A (questions scored on a 5‐point scale, 1 = never to 5 = always) was adapted for HCPs (modified‐PACIC‐5A). In both samples, means and standard deviations for each question as well as proportions of responses to each response modality were computed, and an overall score was calculated for the 20‐item PACIC. Results Patients' and HCPs' overall scores were 2.6 (SD 0.9) and 3.6 (SD 0.5), respectively, with HCPs reporting higher scores for all questions except 1. Patients' education and self‐management, referral/follow‐up and participation in community programs were rated as low by patients and HCPs. Conclusion Healthcare professionals, particularly diabetes specialists, tended to report better PACIC scores than patients, suggesting that care was not reported similarly when received or provided. Evaluation differences might be reduced by a closer collaboration between patients and HCPs, as well as the implementation of community‐based interventions considering more patients' perspectives such as patients' education and self‐management.

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Section: Discussionsupporting

confidence: 53%

Diabetes care: Comparison of patients' and healthcare professionals' assessment using the PACIC instrument

Gijs

Zuercher

Henry

et al. 2017

Evaluation Clinical Practice

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“…Way of life intercessions as supper arranging and exercise assume a significant job in a diabetes self-administration instruction program. Achievement in the selfadministration of sort 2 diabetes requires a learning base on the infection course, a comprehension of the impact of significant way of life intercessions, and a patient who is effectively occupied with the administration of their wellbeing [29,30,31]. Persistent actuation was low in those sort 2 diabetes patients with comorbidities.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Level of Patient Activation and Its Role to Glycemic Control and among Adults with Type II Diabetes Attending Diabetic Clinic at Hospitals in Addis Ababa

Assefa

Endris

Ashencho

et al. 2019

IJTDH

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Introduction: Lifestyle interventions as supper arranging and exercise assume a significant job in a Diabetes Self-Management Education (DSME) program. The impact of poly-pharmacy on way of life changes, for example, nourishment and exercise isn't surely known. Deciding and evaluating patient's dimension of enactment and its association with physical action level, supper arranging, and poly-pharmacy in patients with Type II diabetes is a significant standard for Diabetes Self-Management mediations. Objective: The aim of this study was to determine patient activation levels and associated factors among type II diabetic patents attending diabetic clinic at hospitals in Addis Ababa. Methods: Institutional based cross-sectional examination configuration was led. This investigation was led on 423 Type II diabetic patients going to diabetic facilities at emergency clinics in Addis Ababa. Study members were chosen by utilizing orderly arbitrary examining procedure. A pre-tried organized survey was utilized to gather the information. Understanding Activation Measure (PAM-13) was utilized to survey tolerant actuation levels. Information were entered and dissected utilizing SPSS rendition 23 for windows. Concentrate members' qualities were portrayed as far as mean (Standard deviation) and recurrence (extent). Bivariate examination and various calculated relapse investigations were completed to recognize free factors related with patient enactment among sort II diabetes patients. Results: The mean (SD) age of the study participants was 55.7(±9.8) years. Majority of the study participants, 319 (77.8%) had low meal planning knowledge, 62.4% of patients involved in low physical activity and 82.2% had poor glycemic control. About 75.6% of the patients had low activation and the remaining 24.4% had high activation. The independent factors associated with lower activation were Illiterate educational status (AOR=2.4, 95% CI: 1.5-3.3), low physical activity (AOR=1.8, 95% CI: 1.4-2.9), low meal planning knowledge (AOR=1.5, 95% CI: 1.3-2.4), chronic comorbidities (AOR=2.1, 95% CI: 1.6-3.9) and poor glycemic control (AOR = 4.2, 95% CI: 2.4–7.5). Conclusions: The findings revealed that majority of diabetic II patients had low activation; indicating patients had low knowledge and understanding regarding the influence of lifestyle in diabetes management. Illiterate educational status, low physical activity, low meal planning knowledge, chronic comorbidities and poor glycemic control were significantly associated with lower activation.

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“…In regard to the correlations between the measures and some variables, we verified that only the variable, level of education showed significant correlation with the measure of activation and that the variable of number of comorbidities showed a significant correlation with measure of self-esteem. Studies that analyze the associations between activation of the patient have demonstrated that patients with a higher level of education in health are more activated (SMITH, 2013;AUNG, 2015).…”

Section: Discussionmentioning

confidence: 99%

Measurement of psycho-emotional constructs and self-management in health of patients with cancer

Souza¹,

Lima²,

Almeida-Neto³

et al. 2018

Biosci. J.

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The present study aimed measure self-esteem, anxiety and depression and activation scores in individuals with cancer; compare these scores according to whether or not chemotherapy was performed and verify the influence of these constructs in the self-management in health. This study is a Cross-sectional study with a quantitative approach, performed at the outpatient clinic of a school hospital. The instrument was answered by adult patients, diagnosed with cancer for at least 6 months and in outpatient follow-up. We used the Pearson correlation test and the Student t test in order to evaluate the variables of interest. The level of significance was 0.05. Seventy patients participated in the study; forty six of them were women. The average age was 50.17 years (SD = 11.26) and the average of the education level in years was 8.27 (SD = 3.73). The most prevalent cancer was the breast cancer. The average score obtained by the instruments were: 32.71 (SD = 4.64) for self-esteem; 6.07 (SD = 3.84) for anxiety; 4.90 (SD = 3.76) for depression and 64.24 (SD = 15.21) for activation. We observed weak correlations of these constructs with activation (p <0.05) and that the use of chemotherapy did not interfere with the score of these measures (p> 0.05). The education level presented a weak correlation with the measure of activation (r = 0.240, p <0.05), and comorbidities presented weak correlation with the measure of self-esteem (r =-0.274, p <0.05). In conclusion, the cancer patients presented high selfesteem, low anxiety and depression symptoms and high activation. There is a weak relationship between measures evaluated and the self-management in health.

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Association between patient activation and patient‐assessed quality of care in type 2 diabetes: results of a longitudinal study

Abstract: Background Previous research using cross-sectional data has shown a positive relationship between patient activation and quality of care. The quantitative relationships in the same patients over time, however, remain undefined.

Cited by 32 publications

References 47 publications

Diabetes care: Comparison of patients' and healthcare professionals' assessment using the PACIC instrument

Diabetes care: Comparison of patients' and healthcare professionals' assessment using the PACIC instrument

Factors Associated with Level of Patient Activation and Its Role to Glycemic Control and among Adults with Type II Diabetes Attending Diabetic Clinic at Hospitals in Addis Ababa

Measurement of psycho-emotional constructs and self-management in health of patients with cancer

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