Abstract
Objective:The aim of this study was to identify predictors of non-attendance and to investigate the influence of illness perceptions on attendance at diabetic outpatient clinics.Research Method and Design:This is a descriptive study of 442 participants who were enrolled in a Diabetic Outpatient Clinic at Lerdsin Hospital, Thailand. Illness perceptions were derived from a Thai version of the IPQ-R questionnaire consisting of the same 3 sections as the original Illness perception- Revised with the distinction that it had 68 items. Test for validity was performed and the Cronbach’s alpha reliability coefficient value was 0.87. Data were analysed by using independent t-tests. Binary logistic regression was used in order to assess the impact of illness perception scores on attendance among diabetic patients at the Outpatient Clinic.Results:The results of the study were as follows: Demographic data showed that all respondents were of Thai ethnic origin and two-thirds of the respondents were women. The average age was 60 years. The majority of the participants had completed primary school (7–12 years old), was married and were Buddhist. The IPQ-R revealed the following findings: The illness perceptions at baseline and 6 months later showed that it illness perception had no effect on the participants’ illness perception and attendance rate at the diabetic outpatient clinic. Participants who hold negative illness perceptions were more likely to attend diabetes clinics than those participants who had positive illness perceptions. A conceivable explanation for the non-significant findings in the study is the finding that during 6 month period there were some factors that have contributed to the failure of the participants to attend to their appointments. This is beyond the scope of the socio-demographic and illness perception factors.Conclusion:Thus, a plausible explanation for the non-significant findings in the study is that during 6 month period there were some factors that may have contributed to the appointment keeping among these patients beyond the scope of socio-demographic and illness perception factors.
Highlights
Patient’s views or perceptions of their illness seem to be an important variable affecting their health behaviour and problem management
Research Method and Design: This is a descriptive study of 442 participants who were enrolled in a Diabetic Outpatient Clinic at Lerdsin Hospital, Thailand
Illness perceptions were derived from a Thai version of the Illness Perception Questionnaire (IPQ)-R questionnaire consisting of the same 3 sections as the original Illness perception- Revised with the distinction that it had 68 items
Summary
Patient’s views or perceptions of their illness seem to be an important variable affecting their health behaviour and problem management. Wilgen et al (2008) state that “when patients are confronted with an illness or with symptoms, as in FM [fibromyalgia], they create a model and representation of this illness or symptoms (illness perceptions) in order to make sense of or try to cope with the illness and its symptoms.”. This is true in the FM field but it has been tested in different patient groups such as MI (Myocardial Infarction), depression, anxiety disorders (Hunot et al, 2006), mild head injuries and coronary artery disease (Whittaker et al, 2007) In some processes, attributions are made in order to understand the cause of the symptoms. Illness perceptions have been identified as important factors that impact on the way people may change their behaviour (Petrie et al, 2007). Wilgen et al (2008) state that “when patients are confronted with an illness or with symptoms, as in FM [fibromyalgia], they create a model and representation of this illness or symptoms (illness perceptions) in order to make sense of or try to cope with the illness and its symptoms.” This is true in the FM field but it has been tested in different patient groups such as MI (Myocardial Infarction), depression, anxiety disorders (Hunot et al, 2006), mild head injuries and coronary artery disease (Whittaker et al, 2007) In some processes, attributions are made in order to understand the cause of the symptoms.
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