Patient Assessment of Chronic Illness Care, Glycemic Control and the Utilization of Community Health Care among the Patients with Type 2 Diabetes in Shanghai, China

Liu, Lijuan; Li, Yun; Sha, Kun; Wang, Yue; He, Xuesong

doi:10.1371/journal.pone.0073010

Cited by 15 publications

(17 citation statements)

References 17 publications

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“…The mean score in Germany was highest for the subscale 'Delivery system design/decision support' and contrary to our findings, the lowest for 'Goal setting/tailoring' [ 28 ]. PACIC score in China was associated with the utilization of community health centers, where patients’ trusting in community health centers depended on the quality of chronic care [ 32 ]. Our study results were similar to Petersen et al [ 28 ] and Ludt et al revealing that higher PACIC scores were associated with more frequent FD contacts [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Assessment of hypertension chronic care model: Pacic application in Bosnia and Herzegovina

et al. 2018

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The objectives of this study were to evaluate patients’ attitudes towards hypertension treatment according to the chronic care model and to assess the implementation of hypertension clinical guidelines in family medicine. The cross-sectional study was carried out in two randomly selected primary health care centers (Bijeljina and Prijedor), respectively in Bosnia and Herzegovina, covering the period between March and April 2016. This study sample consists of 791 respondents with hypertension purposing to measure specific actions and quality of care for hypertensive patients. The Patient Assessment of Chronic Illness Care (PACIC) was used. Treatment for the indicators of hypertension was assessed by analyzing patients' medical charts according to the recommendations of clinical guidelines. More than half of the evaluated indicators of treatment for hypertension were documented in medical charts of 84.07% patients. The average overall PACIC score was 4.18 (SD 0.59), being an average of the separate scores of 4.19 (SD 0.57) in men and 4.17 (SD 0.60) in women. Subscale means of PACIC were as follows: patient activation 4.33, delivery system design 4.36; goal setting 4.03; problem solving 4.51; follow-up and co-ordination 3.67. No statistically significant correlations in the overall score and subscale scores were found by demographic characteristics. Non-smokers had a significantly higher overall score compared to smokers (p = 0.001). As implementation of the guidelines became stronger, the reported PACIC scores rose. Continuing the education of patients in order to achieve better health care outcomes is imperative.

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Section: Discussionmentioning

confidence: 99%

Assessment of hypertension chronic care model: Pacic application in Bosnia and Herzegovina

et al. 2018

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“…Other markers of person-centered care in diabetes management include health-related quality of life [ 10 ], diabetes distress [ 11 ], and perception of chronic illness care [ 12 ]. Health-related quality of life reflects the combined impact of an individual’s physical, psychological, and social well-being on health-related quality of life, and in patients living with diabetes, lower quality of life is associated with poorer clinical outcomes such as glycemic control [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of MyDiabetesPlan, a Web-Based Patient Decision Aid on Decisional Conflict, Diabetes Distress, Quality of Life, and Chronic Illness Care in Patients With Diabetes: Cluster Randomized Controlled Trial

Yu¹,

Choi²,

Bruno³

et al. 2020

J Med Internet Res

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Background Person-centered care is critical for delivering high-quality diabetes care. Shared decision making (SDM) is central to person-centered care, and in diabetes care, it can improve decision quality, patient knowledge, and patient risk perception. Delivery of person-centered care can be facilitated with the use of patient decision aids (PtDAs). We developed MyDiabetesPlan, an interactive SDM and goal-setting PtDA designed to help individualize care priorities and support an interprofessional approach to SDM. Objective This study aims to assess the impact of MyDiabetesPlan on decisional conflict, diabetes distress, health-related quality of life, and patient assessment of chronic illness care at the individual patient level. Methods A two-step, parallel, 10-site cluster randomized controlled trial (first step: provider-directed implementation only; second step: both provider- and patient-directed implementation 6 months later) was conducted. Participants were adults 18 years and older with diabetes and 2 other comorbidities at 10 family health teams (FHTs) in Southwestern Ontario. FHTs were randomly assigned to MyDiabetesPlan (n=5) or control (n=5) through a computer-generated algorithm. MyDiabetesPlan was integrated into intervention practices, and clinicians (first step) followed by patients (second step) were trained on its use. Control participants received static generic Diabetes Canada resources. Patients were not blinded. Participants completed validated questionnaires at baseline, 6 months, and 12 months. The primary outcome at the individual patient level was decisional conflict; secondary outcomes were diabetes distress, health-related quality of life, chronic illness care, and clinician intention to practice interprofessional SDM. Multilevel hierarchical regression models were used. Results At the end of the study, the intervention group (5 clusters, n=111) had a modest reduction in total decisional conflicts compared with the control group (5 clusters, n=102; −3.5, 95% CI −7.4 to 0.42). Although there was no difference in diabetes distress or health-related quality of life, there was an increase in patient assessment of chronic illness care (0.7, 95% CI 0.4 to 1.0). Conclusions Use of goal-setting decision aids modestly improved decision quality and chronic illness care but not quality of life. Our findings may be due to a gap between goal setting and attainment, suggesting a role for optimizing patient engagement and behavioral support. The next steps include clarifying the mechanisms by which decision aids impact outcomes and revising MyDiabetesPlan and its delivery. Trial Registration ClinicalTrials.gov NCT02379078; https://clinicaltrials.gov/ct2/show/NCT02379078

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“…Previous studies have shown that the PACIC was correlated with other quality of care measures, including care experience surveys and the receipt of laboratory tests and self‐management support . However, its association with health outcomes such as glycaemic control and blood cholesterol levels remains equivocal …”

Section: Introductionmentioning

confidence: 99%

“…4,[6][7][8][9][10] However, its association with health outcomes such as glycaemic control and blood cholesterol levels remains equivocal. 11,12 While quality assessments from patient perspectives reflect the technical quality of providers (e.g. providers' adherence to recommended care), it may also be influenced by the customer quality (attributes of patients that enable them to participate more effectively in the health-care delivery system).…”

Section: Introductionmentioning

confidence: 99%

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

Aung

Donald

Coll

et al. 2015

Health Expectations

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Patient Assessment of Chronic Illness Care, Glycemic Control and the Utilization of Community Health Care among the Patients with Type 2 Diabetes in Shanghai, China

Cited by 15 publications

References 17 publications

Assessment of hypertension chronic care model: Pacic application in Bosnia and Herzegovina

Assessment of hypertension chronic care model: Pacic application in Bosnia and Herzegovina

Impact of MyDiabetesPlan, a Web-Based Patient Decision Aid on Decisional Conflict, Diabetes Distress, Quality of Life, and Chronic Illness Care in Patients With Diabetes: Cluster Randomized Controlled Trial

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

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