Background: A model that combines reactive and anticipatory care within routine consultations has become recognized as a cost-effective means of providing preventive health care, challenging the need of the periodic health examination. As such, opportunistic screening may be preferable to organized screening. Provision of comprehensive preventive healthcare within the primary care system depends on regular attendance of the general population to primary care physicians (PCPs).
Objectives: To assess the proportion of patients who do not visit a PCP even once during a four-year period, and to describe the characteristics of this population.
Methods: An observational study, based on electronic medical records of 421,012 individuals who were members of one district of Clalit Health Services, the largest health maintenance organization in Israel.
Results: The average annual number of visits to PCPs was 7.6 ± 8.7 to 8.3 ± 9.0 (median 5, 25%-75% interval 1-11) and 9.5 ± 10.0 to10.2 ± 10.4 (median 6, 25%-75% interval 1-14) including visits to direct access consultants) in the four years of the study. During the first year of the study 87.2% of the population visited a PCP. During the four year study period, only 1.5% did not visit a PCP even once. In a multivariate analysis having fewer chronic diseases (for each additional chronic disease the OR, 95% CI was 0.40 (0.38¬0.42)), being a new immigrant (OR, 95% CI 2.46 (2.32¬2.62)), and being male (OR, 95% CI 1.66 (1.58¬1.75)) were the strongest predictors of being a non-attender to a PCP for four consecutive years.
Conclusions: The rate of nonattendance to PCPs in Israel is low. Other than new immigrant status, none of the characteristics identified for nonattendance suggest increased need for healthcare services.
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http://dx.doi.org/10.1186/2045-4015-3-15 | DOI Listing |
J Med Internet Res
January 2025
Faculty of Medicine, University of Geneva, Geneva, Switzerland.
This study examines disparities in research retractions due to misconduct, identifying countries with the highest retraction counts and those disproportionately represented relative to population and publication output. The findings emphasize the need for improved research integrity measures.
View Article and Find Full Text PDFImportance: Fragility fractures result in significant morbidity.
Objective: To review evidence on osteoporosis screening to inform the US Preventive Services Task Force.
Data Sources: PubMed, Embase, Cochrane Library, and trial registries through January 9, 2024; references, experts, and literature surveillance through July 31, 2024.
JAMA Netw Open
January 2025
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Importance: Nearly all Medicare Advantage (MA) plans offer dental, vision, and hearing benefits not covered by traditional Medicare (TM). However, little is known about MA enrollees' use of those benefits or how much they cost MA insurers or enrollees.
Objective: To estimate use, out-of-pocket (OOP) spending, and insurer payments for dental, hearing, and vision services among Medicare beneficiaries.
J Gen Intern Med
January 2025
Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Previous reports suggest patient and caregiver lack of awareness of dementia. Little is known about how this varies by ethnicity and how informal (family) caregiver burden is associated with knowing a dementia diagnosis.
Objective: To investigate whether participants with probable dementia were aware of a diagnosis provided by a physician and how this differed among Mexican American and non-Hispanic White participants; whether having a primary care physician was associated with dementia diagnosis unawareness; and the association of dementia diagnosis unawareness with caregiver burden.
J Med Syst
January 2025
Department of Computing, University of North Florida, 1 UNF Dr., Jacksonville, 32246, FL, USA.
The "no-show" problem in healthcare refers to the prevalent phenomenon where patients schedule appointments with healthcare providers but fail to attend them without prior cancellation or rescheduling. In addressing this issue, our study delves into a multivariate analysis over a five-year period involving 21,969 patients. Our study introduces a predictive model framework that offers a holistic approach to managing the no-show problem in healthcare, incorporating elements into the objective function that address not only the accurate prediction of no-shows but also the management of service capacity, overbooking, and idle resource allocation resulting from mispredictions.
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