Impacts of doctor-shopping behavior on diabetic patients' health: A retrospective longitudinal study in Taiwan.

The aim of this study was to clarify the relationship between doctor-shopping behavior and clinical conditions, and to clearly outline the effects of both the number of clinic visits and the number of doctor changes on patients' health conditions. Data from January 1, 2000 to December 31, 2004 was collected from the National Health Insurance Research Database in Taiwan. After randomly selecting one million people, we extracted 5-year longitudinal data, about the number of clinic visits, number of doctor changes, and changes in self-health status for each patient with diabetes over the age of 18. We developed a relationship among the variables by using the generalized estimating equation. The results revealed that the number of clinic visits on the change of health status is a U curve, suggesting that health condition could be optimal with an appropriate number of clinic visits. The effect of the number of doctor changes is linearly correlated with health deterioration. The results suggest that disease conditions can only be controlled with an adequate number of clinic visits. Excessively frequent clinic visits are not only unfavorable to patients' health status but are also wasteful of limited medical resources. For diabetic mellitus patients, the more they change doctors, the worse their health status. All of these results are important for patients to stay healthy and to save medical resources.

A study on the impact of poor medication adherence on health status and medical expense for diabetes mellitus patients in Taiwan: A longitudinal panel data analysis.

Medication adherence plays an important role in disease management, especially for diabetes. The aim of this study was to examine the impacts of demographic characteristics on medication nonadherence and the impacts of nonadherence on both health status and medical expenses for diabetic patients in Taiwan.A total of 1 million diabetes mellitus patients were randomly selected from the National Health Insurance Research Database between January 1, 2000 and December 31, 2004. All records with missing values and those for participants under 18 years of age were then deleted. Because many patients had multiple clinical visit records, all records within the same calendar year were summarized into 1 single record for each person. This pre-processing resulted in 14,602 total patients with a combined 73,010 records over the course of 5 years. Generalized estimating equation models were then constructed to investigate the effects of demographic characteristics on medication nonadherence and the effects of nonadherence on patient health status and medical expenses. The demographic characteristics examined for each patient include gender, age, residential area, and socioeconomic status.Our analysis of how demographic variables impacted nonadherence revealed that elderly patients exhibited better overall medication adherence, but that male patients exhibited poorer medication adherence than female patients. Next, our analysis of how nonadherence impacted health status revealed that patients who exhibited medication nonadherence had poorer health status than patients with proper medication adherence. Finally, our analysis of how nonadherence impacted medical expenses revealed that patients who exhibited medication nonadherence incurred more medical expenses than those who exhibited proper medication adherence.This study's empirical results corroborate the general relationships expressed in the current literature regarding medication nonadherence. However, this study's results were statistically more reliable and revealed the precise impact on health status in terms of the Charlson comorbidity index and increased annual medical expenses. This indicates the need to improve patient attitudes toward medication adherence, which can have substantial effects both medically and economically.