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Purpose: We examined the association between sociodemographic, personal, and disease-related determinants and referral to a new model of health care that uses patient-reported outcomes (PRO) measures for remote outpatient follow-up (PRO-based follow-up).
Methods: We conducted a prospective cohort study among outpatients with epilepsy at the Department of Neurology at Aarhus University Hospital, Denmark. Included were all persons aged ≥ 15 years visiting the department for the first time during the period from May 2016 to May 2018. Patients received a questionnaire containing questions about health literacy, self-efficacy, patient activation, well-being, and general health. We also collected data regarding sociodemographic status, labour market affiliation, and co-morbidity from nationwide registers. Associations were analysed as time-to-event using the pseudo-value approach. Missing data were handled using multiple imputations.
Results: A total of 802 eligible patients were included in the register-based analyses and 411 patients (51%) responded to the questionnaire. The results based on data from registers indicated that patients were less likely to be referred to PRO-based follow-up if they lived alone, had low education or household income, received temporary or permanent social benefits, or if they had a psychiatric diagnosis. The results based on data from the questionnaire indicated that patients were less likely to be referred to PRO-based follow-up if they reported low levels of health literacy, self-efficacy, patient activation, well-being, or general health.
Conclusion: Both self-reported and register-based analyses indicated that socioeconomically advantaged patients were referred more often to PRO-based follow-up than socioeconomically disadvantaged patients.
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http://dx.doi.org/10.1007/s11136-019-02407-2 | DOI Listing |
J Eval Clin Pract
September 2025
Department of General Medicine, Osaka Medical and Pharmaceutical University Hospital, Takatsuki, Osaka, Japan.
Rationale: Physicians sometimes encounter various types of gut feelings (GFs) during clinical diagnosis. The type of GF addressed in this paper refers to the intuitive sense that the generated hypothesis might be incorrect. An appropriate diagnosis cannot be obtained unless these GFs are articulated and inventive solutions are devised.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Nursing Department, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: End stage renal disease (ESRD) is a major disease that seriously threatens the health of young people, and kidney transplantation is an effective treatment method to improve its prognosis.Young ESRD patients at a critical stage of life development often face significant physical and psychological challenges while waiting for kidney transplantation. Their psychological state directly affects treatment compliance and transplantation outcomes.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Cardiovascular Medicine, Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha 410005.
Objectives: The Charlson comorbidity index reflects overall comorbidity burden and has been applied in cardiovascular medicine. However, its role in predicting in-hospital mortality in patients with acute myocardial infarction (AMI) complicated by ventricular arrhythmias (VA) remains unclear. This study aims to evaluate the predictive value of the Charlson comorbidity index in this setting and to construct a nomogram model for early risk identification and individualized management to improve outcomes.
View Article and Find Full Text PDFNeuropsychopharmacol Rep
September 2025
Department of Anesthesiology and Pain Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Background: Although opioid analgesics may influence sleep in patients with chronic pain, the association between strong opioid use and sleep characteristics remains unclear. This study aimed to explore differences in sleep status among chronic pain patients with varying levels of opioid use.
Methods: A total of 29 patients with chronic non-cancer pain who had been under treatment for more than 6 months were included.