Objectives: Cardiac rehabilitation (CR) remains underused and inconsistently accessed, particularly for women and minorities. This study examined the factors associated with CR enrollment within the context of an automatic referral system through a retrospective chart review plus survey. Through the Behavioral Model of Health Services Utilization, it was postulated that enabling and perceived need factors, but not predisposing factors, would significantly predict patient enrollment.
Subjects: A random sample of all atherosclerotic heart disease (AHD) patients treated at a tertiary care center (Trillium Health Centre, Ontario, Canada) from April 2001 to May 2002 (n = 501) were mailed a survey using a modified Dillman method (71% response rate).
Measures: Predisposing measures consisted of sociodemographics such as age, sex, ethnocultural background, work status, level of education, and income. Enabling factors consisted of barriers and facilitators to CR attendance, exercise benefits and barriers (EBBS), and social support (MOS). Perceived need factors consisted of illness perceptions (IPQ) and body mass index.
Results: Of the 272 participants, 199 (73.2%) attended a CR assessment. Lower denial/minimization, fewer logistical barriers to CR (eg, distance, cost), and lower perceptions of AHD as cyclical or episodic reliably predicted CR enrollment among cardiac patients who were automatically referred.
Conclusion: Because none of the predisposing factors were significant in the final model, this suggests that factors associated with CR enrollment within the context of an automatic referral model relate to enabling factors and perceived need. A prospective controlled evaluation of automatic referral is warranted.
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http://dx.doi.org/10.1097/01.mlr.0000129901.05299.aa | DOI Listing |
Ned Tijdschr Geneeskd
January 2025
Amsterdam UMC, locatie VUmc, afd. Medische Oncologie en Interne Geneeskunde, Amsterdam.
Some older patients with suspected malignancy are not automatically eligible for a standard care process due to frailty or limited treatment wishes. For this group we recommend a personalized approach in which frailty is identified and the patient's wishes are central. To achieve appropriate care, cooperation and timely consultation between primary care or elderly care with a geriatric and/or oncological specialist from secondary care is important.
View Article and Find Full Text PDFData Brief
February 2025
Mulago National Referral Hospital, P.O Box 7051, Kampala, Uganda.
Malaria is a major public health challenge in sub-Saharan Africa. Timely and accurate diagnosis of malaria is vital to reduce the caseload and mortality rates associated with malaria The use of microscopy in malaria screening is the gold standard recommended method by the World Health Organisation (WHO). In Uganda, utilization of microscopy is challenged by insufficient expertise to interpret the images accurately, affecting the efficiency, effectiveness and accuracy of malaria detection and diagnosis.
View Article and Find Full Text PDFAm J Manag Care
December 2024
Institute for Accountable Care, 2001 L St NW, Ste 500, Washington, DC 20036. Email:
Objectives: To describe the prevalence and characteristics of preferred skilled nursing facility (SNF) networks established by Medicare accountable care organizations (ACOs).
Study Design: Cross-sectional analysis of a 2019 Medicare ACO survey.
Methods: We analyzed surveys from 138 Medicare ACOs to assess preferred SNF network prevalence, characteristics, and challenges.
J Transl Med
December 2024
Department of Oral Maxillofacial Surgery, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, P.R. China.
Background: With the increasing burden of dental diseases and the limited availability of healthcare resources, traditional triage methods are inadequate in efficiently utilizing healthcare resources and meeting patient needs. The aim of this study is to develop an advanced triage system that combines oral radiomics and biological multi-omics data, which enables accurate departmental referral of patients by automatically interpreting biological information in oral X-ray images.
Methods: Using a multi-label learning algorithm, we analyzed multi-omics data from 3,942 patients with oral diseases from three cohorts between July 1, 2023 and August 18, 2023, and continuously monitored classification accuracy (ACC) metrics.
Crit Care Explor
December 2024
Department of Intensive Care, Leiden University Medical Centre, Leiden, The Netherlands.
Importance: Mechanical power (MP) could serve as a valuable parameter in clinical practice to estimate the likelihood of adverse outcomes. However, the safety thresholds for MP in mechanical ventilation remain underexplored and contentious.
Objectives: This study aims to investigate the association between MP and hospital mortality across varying degrees of lung disease severity, classified by Pao2/Fio2 ratios.
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