Patients’ Assessment of Care for Type 2 Diabetes: Results of the Patient Assessment of Chronic Illness Care Scale in A Danish Population
Background: The Patient Assessment of Chronic Illness Care (PACIC) scale is the most appropriate for assessing self-reported experience in chronic care. However, it has yet to be validated in a Danish diabetes population. We aimed to validate the PACIC, assess the quality of care for Danish patients with type 2 diabetes, and identify factors associated with quality of care.
Methods: A survey of 7,745 individuals randomly selected from the National Diabetes Registry. Descriptive statistics inter-item and item-rest correlations and factor analysis assessed the PACIC properties. Quality of care was analysed with descriptive statistics; linear and multiple regression assessed the effect of forty-nine covariates on total and subscale scores.
Results: In total, 2,696 individuals with type 2 diabetes completed ≥ 50% of items. The floor effect for individual items was 8.5-74.5%; the ceiling effect was 4.1- 47.8 %. Cronbach’s alpha was 0.73-0.86 for the five subscales. The comparative fit index (CFI) and the Tucker–Lewis index (TLI) were 0,87, and 0,84, respectively. Mean PACIC score was 2.44 (± 0.04). Respondents receiving rehabilitation and reporting primary of diabetes care had higher total mean scores; those 70 years or older had lower mean total and subscale scores. A higher number of diabetes visits were associated with higher total scores; higher number of emergency department visits were associated with lower total scores. The effect of healthcare utilisation on subscale scores varied.
Conclusions: Floor effects suggest a need for further evaluation of the PACIC questionnaire in Danish settings. Total PACIC scores were lower than in other healthcare systems, possibly being a result of different contexts and cultures, and of a need for improving diabetes care in Denmark.
Figure 1
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Posted 23 Sep, 2020
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Patients’ Assessment of Care for Type 2 Diabetes: Results of the Patient Assessment of Chronic Illness Care Scale in A Danish Population
Posted 23 Sep, 2020
On 29 Dec, 2020
Received 20 Dec, 2020
Received 20 Dec, 2020
Received 17 Dec, 2020
Received 07 Dec, 2020
On 26 Nov, 2020
On 24 Nov, 2020
On 23 Nov, 2020
On 27 Sep, 2020
Invitations sent on 26 Sep, 2020
On 21 Sep, 2020
On 21 Sep, 2020
On 18 Sep, 2020
On 21 Aug, 2020
Background: The Patient Assessment of Chronic Illness Care (PACIC) scale is the most appropriate for assessing self-reported experience in chronic care. However, it has yet to be validated in a Danish diabetes population. We aimed to validate the PACIC, assess the quality of care for Danish patients with type 2 diabetes, and identify factors associated with quality of care.
Methods: A survey of 7,745 individuals randomly selected from the National Diabetes Registry. Descriptive statistics inter-item and item-rest correlations and factor analysis assessed the PACIC properties. Quality of care was analysed with descriptive statistics; linear and multiple regression assessed the effect of forty-nine covariates on total and subscale scores.
Results: In total, 2,696 individuals with type 2 diabetes completed ≥ 50% of items. The floor effect for individual items was 8.5-74.5%; the ceiling effect was 4.1- 47.8 %. Cronbach’s alpha was 0.73-0.86 for the five subscales. The comparative fit index (CFI) and the Tucker–Lewis index (TLI) were 0,87, and 0,84, respectively. Mean PACIC score was 2.44 (± 0.04). Respondents receiving rehabilitation and reporting primary of diabetes care had higher total mean scores; those 70 years or older had lower mean total and subscale scores. A higher number of diabetes visits were associated with higher total scores; higher number of emergency department visits were associated with lower total scores. The effect of healthcare utilisation on subscale scores varied.
Conclusions: Floor effects suggest a need for further evaluation of the PACIC questionnaire in Danish settings. Total PACIC scores were lower than in other healthcare systems, possibly being a result of different contexts and cultures, and of a need for improving diabetes care in Denmark.
Figure 1