ObjectivesTo add evidence to the relationship between multimorbidity and healthcare expenditure.MethodsThe study population comprised patients aged ≥60 in Beijing, covered by the Urban Employee Basic Medical Insurance (UEBMI) (N = 30,774). Multimorbidity was measured with 33 chronic conditions confirmed by doctors. Multivariate linear regression was performed.ResultsThe prevalence of multimorbidity was 82% among elderly patients in Beijing and was higher in older and female patients. About 95% of the healthcare expenditure on the 33 conditions was spent on multimorbid patients. In the multivariate analysis, after inclusion of demographic characteristics, disease severity, and health facility level, the expenditure increased significantly with the number of chronic conditions. After further including condition types, the coefficients of the number of conditions were much lower than those in previous models. The expenditure on patients with two and three conditions was 3.4 times (95% CI: 3.2–3.7) and 5.3 times (95% CI: 4.7–6.0) higher than that on patients with a single condition, respectively; however, the expenditure did not significantly increase after three conditions.ConclusionsMultimorbidity is common among elderly patients in Beijing and consumes the majority of the healthcare resources. The health delivery system in China and other low- and middle-income countries needs to pay more attention to multimorbidity. 相似文献
PurposeAnticholinergic drugs may increase the risk of cognitive and functional disorders in older patients. There are anticholinergic scales on which said risk is estimated. The objectives of this study are: to identify the scales described in literature that are applicable to polypathological patients and analyze their clinical outcomes.Material and methodsA systematic review was performed. Data sources were MEDLINE, EMBASE and Web of Science which were consulted until August 2014. Inclusion criteria: (1) studies that specify the list of drugs, describe the methodology for their elaboration and how they calibrate the anticholinergic potential and (2) studies that use the scales identified as a tool to measure exposure to anticholinergic drugs in polypathological patients or those with similar characteristics. The main differences between the scales and main results on cognitive, functional and mortality status were collected.Results25 articles were included. 10 scales were identified. For their preparation, 8 were based on literature about drugs with anticholinergic activity and/or previously published scales as well as expert opinions. Exposure to anticholinergic drugs has been linked to cognitive disorders (basically measured with Anticholinergic Risk Scale (ARS), Anticholinergic Cognitive Burden Scale (ACB) and Drug Burden Index (DBI)) and functional scale (with ARS and DBI). However, there is no clear relationship with mortality. The Anticholinergic Drug Scale was the only one that obtained no association with any of the variables studied.ConclusionsThere is a great variety of scales published and applied to older patients. The clinical results are different depending on the scale used which is probably due to the different methodology in their elaboration. 相似文献
The treatment burden inherent in self-managing multiple chronic conditions (multimorbidity) is recognized, but there has been little examination of the care burden experienced by paid home health-care assistants (HCAs) who support older people with multimorbidity. Focus groups were conducted with HCAs in Ireland and data were coded using a thematic analysis approach. Care burden of HCAs was linked with lack of knowledge and information, poor communication, insufficient time and resources, gaps in medication support and work-related stress. Strategies are required to reduce the care burden of HCAs, who are essential stakeholders supporting growing numbers of older people with multimorbidity. 相似文献
AbstractBackground: Ageing people show increasing morbidity, dependence and vulnerability.Objectives: To compare the relationships of different measures of multimorbidity with dependence (operationalized as disability) and vulnerability (operationalized as frailty).Method: A cross-sectional analysis within the BELFRAIL cohort (567 subjects aged ≥ 80). Multimorbidity was measured using a disease count (DC), the Charlson comorbidity index (CCI) and the cumulative illness rating scale (CIRS), respectively. Associations with disability (based on activities of daily living) and frailty (defined by the Fried frailty criteria) were assessed using bivariable and multivariable analyses. Net reclassification improvement (NRI) values were calculated to compare the abilities of the DC, CCI and CIRS to identify patients with disability or frailty.Results: Disability was associated with the DC (crude odds ratio, OR: 2.1; 95% confidence interval, CI: 1.4–3.4), CCI (crude OR: 1.8; 95% CI: 1.2–2.7) and CIRS (crude OR: 4.0; 95% CI: 2.5–6.5); only the association with CIRS was independent of age, sex, chronic inflammation, impaired cognition and frailty (adjusted OR: 3.2; 95% CI: 1.7–5.8). Frailty was associated with CCI (crude OR: 2.4; 95% CI: 1.2–4.6) and CIRS (crude OR: 2.6; 95% CI: 1.3–5.3); adjusted for age, sex, chronic inflammation, impaired cognition and disability. These associations were not statistically significant. The NRIs demonstrated a similar ability of the DC, CCI, and CIRS to identify patients with disability or frailty, respectively.Conclusion: The associations of different measures of multimorbidity with disability and frailty differ but their ability to identify patients with disability or frailty is similar. Generally, multimorbidity scores incompletely reflect dependence and vulnerability in this age group. 相似文献
Background: Multimorbidity is a challenging concept for general practice. An EGPRN working group has published a comprehensive definition of the concept of multimorbidity. As multimorbidity could be a way to explore complexity in general practice, it was of importance to explore whether European general practitioners (GPs) recognize this concept and whether they would change it.
Objectives: To investigate whether European GPs recognize the EGPRN concept of multimorbidity and whether they would change it.
Methods: Focus group meetings and semi-structured interviews as data collection techniques with a purposive sample of practicing GPs from every country. Data collection continued until saturation was reached in every country. The analysis was undertaken using a grounded theory based method. In each national team, four independent researchers, working blind and pooling data, carried out the analysis. To ensure the internationalization of the data, an international team of 10 researchers pooled the axial and selective coding of all national teams to check the concept and highlight emerging themes.
Results: The maximal variation and saturation of the sample were reached in all countries with 211 selected GPs. The EGPRN definition was recognized in all countries. Two additional ideas emerged, the use of Wonca’s core competencies of general practice, and the dynamics of the doctor–patient relationship for detecting and managing multimorbidity and patient’s complexity.
Conclusion: European GPs recognized and enhanced the EGPRN concept of multimorbidity. These results open new perspectives regarding the management of complexity using the concept of multimorbidity in general practice.
Key Messages
European general practitioners recognize the EGPRN enhanced, comprehensive concept of multimorbidity.
They add the use of Wonca’s core competencies and the patient–doctor relationship dynamics for detecting and managing multimorbidity.
The EGPRN concept of multimorbidity leads to new perspectives for the management of complexity.
EULAR recently proposed to screen multimorbidities in chronic inflammatory rheumatic diseases. The aims of the study were to define the most common multimorbidities in chronic inflammatory rheumatic diseases, compare the screening approach performed in the clinic with the recent EULAR recommendations, validate the points to consider for the systematic standardized multimorbidity screening proposed by EULAR and assess feasibility of such a screening in a daily clinic.
Methods
Data were collected prospectively during a 1-day multimorbidity clinic. Diabetes, hypertension, CVD damage, chronic respiratory diseases, osteoporosis and preventive measures were assessed. The comparison with EULAR points to consider was performed retrospectively.
Results
We included 200 consecutive patients (157 with rheumatoid arthritis, 37 spondyloarthritis, and 6 connective tissue diseases or vasculitis). The most common multimorbidities already diagnosed in our patients were hypertension (26%) and diabetes (7.5%). Screening showed that 61.5% (CI95%: 54.6%-67.9%) patients presented at least one undiagnosed or uncontrolled diseases: diabetes (6%), hypertension (20.6%), dyslipidemia (16.1%) valvulopathies (16.8%), peripheral artery disease (4.5%); carotid stenosis (6.5%) and aortic aneurysm (5.5%). Overall, 39.9% patients had incomplete cancer screening and 52.8% incomplete vaccine schedule. Undiagnosed pulmonary obstruction and risk of sleep apnea were suspected in 15.5% and 40.1% patients, respectively.
Conclusion
This study underlines the relevance of a systematic screening of multimorbidities in chronic inflammatory rheumatic diseases and its feasibility in a 1-day clinic. Spirometry and sleep apnea screening should be added to EULAR points to consider. The long-term impact of such screening needs to be evaluated. 相似文献
PurposeA systematic review and meta-analysis was conducted to assess the types of healthcare intervention programs offered to patients with multimorbidity and their effects on key psychosocial factors.MethodsFor this systematic review and meta-analysis, we searched databases like Cochrane Library, PubMed, Embase, CINAHL RISS, KISS, etc. for studies published between January 1, 2009, and April 30, 2019. In total, 8,248 studies in English or Korean were reviewed. We included only randomized controlled trials or quasi-experimental studies that applied healthcare interventions and had major effects on the psychosocial factors in adult patients with multimorbidity. Methodological quality was assessed using Cochrane collaboration risk of bias tool. Meta-analysis was performed using the Review Manager 5.3 version to estimate the effect size.ResultsWe identified six randomized controlled trials and 1446 subjects were enrolled. The results reveal that healthcare interventions have an effect on self-rated health (SMD = 0.53 95 % CI: 0.26, 0.79, p < .001), reducing anxiety (SMD = −0.19 95 % CI: −0.36, −0.01, p = .030) and depression (SMD = −0.27 95 % CI: −0.44, −0.10, p = .002), and improving self-efficacy (SMD = 0.21 95 % CI: 0.06, 0.35, p = .005) for patients with multimorbidity. However, there was no significant effect on quality of life.ConclusionHealthcare interventions had significant positive effects on self-rated health, anxiety, depression, and self-efficacy of patients with multimorbidity. These results are expected to serve as basic data for the development of a community-based integrated healthcare intervention program and health policy, especially for the vulnerable older population with multimorbidity. 相似文献