Purpose: As the effect evaluation of our randomized controlled trial the "Comprehensive Approach of Reintegration for clients with Multiple problems" (CARm) showed no superior effect on re-integration into paid employment of the clients when compared with clients of the care as usual, we conducted this process evaluation to gain insight into whether the intervention was conducted according to protocol.
Methods: Using questionnaires on recruitment, reach, dose delivered, dose received, fidelity, context, and satisfaction we collected data from 40 labour experts of the Public Employment Service of the Dutch Social Security Institute, and from 166 disability benefit recipients dealing with multiple problems.
Results: Only few of the labour experts provided the key elements of the intervention to their clients. Between the clients of both groups were no significant differences in the dose received. More than half of the labour experts of the intervention group reported organizational changes.
Conclusion: The lack of effect of the CARm intervention was almost certainly caused by implementation failure. Once again this study showed the importance of involving all stakeholders in developing and the conduct of the intervention, and of clarifying the consequences for the organization, to ensure that it can be conducted according to protocol.
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http://dx.doi.org/10.1080/09638288.2023.2264765 | DOI Listing |
Patient
January 2025
Pfizer, New York City, NY, USA.
Using patient preference information (PPI) to incorporate patient voices into the drug development lifecycle can help align therapies with the needs and values of patients. However, several barriers have limited the use of PPI, including a lack of clarity on its use by decision-makers, a need for greater decision-maker trust in PPI, and a lack of time, budgets, and access to specialist expertise. The value proposition for PPI could be enhanced by making it FAIR: Findable, Accessible, Interoperable, and Reusable.
View Article and Find Full Text PDFDrug Saf
January 2025
Forum for Collaborative Research, University of California, Berkeley, Washington, DC, USA.
HIV-prevention efforts focusing on women of child-bearing potential are needed to end the HIV epidemic in the African region. The use of antiretroviral drugs as pre-exposure prophylaxis (PrEP) is a critical HIV prevention tool. However, safety data on new antiretrovirals during pregnancy are often limited because pregnant people are excluded from drug development studies.
View Article and Find Full Text PDFPragmat Obs Res
January 2025
Global Medical Affairs, GSK Consumer Healthcare Singapore Pte. Ltd, Singapore.
In recent years, regulatory authorities have signaled a willingness to consider real-world evidence (RWE) data to support applications for new claims and indications for pharmaceuticals. Historically, RWE studies have been the domain of prescription drugs, driven by the fact that clinical data on patients are routinely captured in medical records, claims databases, registries, etc. However, RWE reports of nonprescription drugs and supplements are relatively sparse due to methodological gaps in this area.
View Article and Find Full Text PDFCureus
January 2025
Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, TUR.
Integrating artificial intelligence (AI) into oncology can revolutionize decision-making by providing accurate information. This study evaluates the performance of ChatGPT-4o (OpenAI, San Francisco, CA) Oncology Expert, in addressing open-ended clinical oncology questions. Thirty-seven treatment-related questions on solid organ tumors were selected from a hematology-oncology textbook.
View Article and Find Full Text PDFInt J Nurs Stud Adv
June 2025
Clínica Universidad de los Andes, Chile, Dirección del Cuidado.
Background: Digital health technologies can improve health outcomes and the efficiency of healthcare delivery when used appropriately. Nevertheless, the human-computer interaction is a concern in compassionate patient care and nurses' professional well-being.
Objective: To analyze the degree of technological acceptance and use within nurses in two Latin American university hospitals.
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