A new case-mix based payment system for the psychiatric day care sector in Switzerland: proposed methods for developing the tariff structure.

In many European countries, there has been a shift towards outpatient psychiatric care over the past decades, as it is more cost-effective and resources for health care are limited. Switzerland, however, still has a high number of inpatient psychiatric hospital beds and a comparatively high length of stay. The existence of differing remuneration systems between inpatient and outpatient settings creates a distortion of incentives regarding the choice of treatment setting and an inefficient allocation of resources. To address this issue, a new tariff structure for day care treatment is suggested, based on the development and evaluation of the DRG-based inpatient remuneration system tariff psychiatry (TARPSY), using inpatient data from 2018, 2019, and 2021. The method involves three steps: estimating the day care treatment setting potential by delimiting cases from the inpatient patient data, adjusting the costs of this subset to approximate a day care treatment setting, and calculating daily cost weights based on the existing cost weights. The resulting reimbursements are about half of the inpatient reimbursements. To implement the tariff structure, this paper suggests that a number of framework conditions and regulations must be defined or modified. Additionally, subsequent cost data surveys from the day care setting can be incorporated into the calculation as part of a learning system. The remuneration system outlined in this paper could potentially be applied for day care psychiatry in other countries with DRG systems, especially in countries with conflicting remuneration systems in the inpatient and out patient sector.

Development of the Support self-guided, web application for adults living with type 1 diabetes in Canada by a multi-disciplinary team using a people-oriented approach based on the Behaviour Change Wheel.

Background: Diabetes self-management education and support (DSME/S) are central in type 1 diabetes (T1D) where individuals are responsible for 95% of care. In-person DSME/S programs have been proven clinically effective (e.g. optimizing glycemic management, improving diabetes-related behaviors) but are limited by a lack of accessibility and long-term follow-up. Self-guided digital tools such as web applications (web apps) can be an alternative for delivering DSME/S. Objective: This article describes the development of Support, a behavioral theory-based, self-guided, web application for adults living with T1D in the province of Quebec, Canada. Methods: A multi-disciplinary team developed Support. Patient partners first proposed its focus, learning topics, and expressed barriers to using digital tools for DSME/S. These barriers were analyzed based on the Behaviour Change Wheel. A group of healthcare professionals (HCPs) drafted the evidence-based learning content which was reviewed by external HCPs and by patient partners. Results: Support is a bilingual (English and French) web app accessible at any time via the Internet. It has four learning paths focusing on hypoglycemia and based on the user's method of diabetes treatment. Learning modules are divided into six categories with a maximum of three learning levels. It contains features such as a discussion forum, videos, and quizzes to ensure interactivity, provide social support, and maintain the motivation and long-term engagement of users. Conclusions: To the best of the authors' knowledge, Support is the first self-guided evidence-based web app for adults living with T1D. It is currently under study to evaluate its feasibility and clinical impacts.

A clinical comparison of lesbian and heterosexual women in a psychiatric outpatient clinic.

Previous research has reported that when compared to heterosexual women, lesbians may use alcohol and illicit substances to a greater degree and may experience greater psychiatric symptomatology. This study sought to describe any differences in clinical diagnoses, familial histories, and substance usage between lesbian and heterosexual women in a psychiatric outpatient clinic. A chart review was conducted and a sample of 455 heterosexuals and 75 lesbians was obtained. Data, where available, included demographic information, clinical diagnoses, time in treatment, sexual orientation, past and present substance use, and familial substance abuse and psychiatric history. Lesbians were found to have greater past illicit substance use but less current use. No significant differences were found for alcohol use. Similarly, no significant differences in clinical diagnoses were found. Significant differences were found among families. Family members of lesbians had greater substance use and psychiatric histories. These findings both support and dispute some previous research and suggest areas for future researchers to explore.