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1.
Ophthalmic Physiol Opt ; 42(4): 828-838, 2022 07.
Article in English | MEDLINE | ID: mdl-35661209

ABSTRACT

PURPOSE: To identify parameters associated with the downward trend in the uptake of Low Vision Services (LVS) in the Netherlands. METHODS: A retrospective cohort study was conducted based on a Dutch national health insurance claims database (Vektis CV) of all adults (≥18 years) who received LVS from 2015 until 2018. Descriptive statistics were used to assess socio-demographic, clinical and contextual characteristics and other healthcare utilisation of the study population. General estimating equations trends in characteristics and healthcare utilisation were determined over time. RESULTS: A total of 49,726 unique patients received LVS, but between 2015 and 2018, the number of patients decreased by 15%. The majority was aged 65 years or older (53%), female (54%), had a middle (38%) or low (24%) socio-economic status and lived in urban areas (68%). Between 2015-2018, significant downward trends were found for treatment with intravitreal injections and lens-related diseases for LVS patients. For physical comorbidity, utilisation of ophthalmic care, low vision aids and occupational therapy, a significant upward trend was found over time. CONCLUSION: The decrease of Dutch LVS patients by 15% between 2015 and 2018 might be explained by a reduced distribution of patients treated with intravitreal injections and patients with lens-related diseases within the LVS. Compared to 2015, patients were more likely to have physical comorbidity, to see an ophthalmologist and to use low vision aids and occupational therapy in 2016, 2017 and 2018. This might indicate enhanced access to LVS when treated by ophthalmologists or within other medical specialties, or the opposite, i.e., less access when not treated within one of these medical specialties. Future research is needed to examine differences in patterns between LVS users and non-users further.


Subject(s)
Acquired Immunodeficiency Syndrome , Vision, Low , Adult , Delivery of Health Care , Female , Humans , Patient Acceptance of Health Care , Retrospective Studies , Vision, Low/epidemiology , Vision, Low/therapy
2.
Cancer Med ; 9(18): 6888-6895, 2020 09.
Article in English | MEDLINE | ID: mdl-32710528

ABSTRACT

BACKGROUND: Concerns have been raised about the accessibility and quality of cancer-related care for people with intellectual disabilities (ID). However, there is limited insight into cancer incidence and the utilization of cancer care at the ID population level to inform targeted cancer control strategies. Therefore, we aimed to examine differences in the utilization of cancer-related care between people with and without ID, identified through diagnostic codes on health insurance claims. METHODS: In a population-based cohort study, Dutch individuals of all ages who received residential care through the Chronic Care Act due to an ID (n = 65 183) and an age and sex-matched sample of persons without ID (1:2 ratio), who were cancer-free at enrollment in 2013 were followed through 2015. Incidence rates (IRs) of newly started cancer care and IR ratios (IRRs) with 95% CIs were used to compare groups. Separate analyses were performed per cancer type. RESULTS: Individuals with ID received less cancer-related care than individuals without (IRR = 0.64, 95% CI 0.62-0.66). Differences increased with age and were larger for females than for males. Utilization of care for cancers within the national screening program (female breast, cervical, and colon cancer) was lower for people with ID compared to people without ID. CONCLUSION: Cancer may be underdiagnosed and/or undertreated in people with ID, or cancer is truly less prevalent in this population. In particular, the differences detected between males and females with ID, and the potential underutilization of national screening programs, require urgent follow-up investigations.


Subject(s)
Health Services Accessibility/trends , Healthcare Disparities/trends , Medical Oncology/trends , Neoplasms/therapy , Persons with Mental Disabilities , Administrative Claims, Healthcare , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Case-Control Studies , Child , Child, Preschool , Databases, Factual , Early Detection of Cancer/trends , Female , Health Services Misuse/trends , Humans , Infant , Infant, Newborn , Insurance, Health , Male , Middle Aged , Neoplasms/diagnosis , Neoplasms/epidemiology , Netherlands/epidemiology , Risk Factors , Sex Factors , Time Factors , Young Adult
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