Marjon van Rijn
University of Amsterdam
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Featured researches published by Marjon van Rijn.
PLOS ONE | 2014
Marlies T. van Dalen; Jacqueline J. Suijker; Janet MacNeil-Vroomen; Marjon van Rijn; Eric P. Moll van Charante; Sophia E. de Rooij; Bianca M. Buurman
Background Self-reported data are often used for estimates on healthcare utilization in cost-effectiveness studies. Objective To analyze older adults’ self-report of healthcare utilization compared to data obtained from the general practitioners’ (GP) electronic medical record (EMR) and to study the differences in healthcare utilization between those who completed the study, those who did not respond, and those lost to follow-up. Methods A prospective cohort study was conducted among community-dwelling persons aged 70 years and above, without dementia and not living in a nursing home. Self-reporting questionnaires were compared to healthcare utilization data extracted from the EMR at the GP-office. Results Overall, 790 persons completed questionnaires at baseline, median age 75 years (IQR 72–80), 55.8% had no disabilities in (instrumental) activities of daily living. Correlations between self-report data and EMR data on healthcare utilization were substantial for ‘hospitalizations’ and ‘GP home visits’ at 12 months intraclass correlation coefficient 0.63 (95% CI; 0.58–0.68). Compared to the EMR, self-reported healthcare utilization was generally slightly over-reported. Non-respondents received more GP home visits (p<0.05). Of the participants who died or were institutionalized 62.2% received 2 or more home visits (p<0.001) and 18.9% had 2 or more hospital admissions (p<0.001) versus respectively 18.6% and 3.9% of the participants who completed the study. Of the participants lost to follow-up for other reasons 33.0% received 2 or more home visits (p<0.01) versus 18.6 of the participants who completed the study. Conclusions Self-report of hospitalizations and GP home visits in a broadly ‘healthy’ community-dwelling older population seems adequate and efficient. However, as people become older and more functionally impaired, collecting healthcare utilization data from the EMR should be considered to avoid measurement bias, particularly if the data will be used to support economic evaluation.
PLOS ONE | 2016
Jacqueline J. Suijker; Marjon van Rijn; Bianca M. Buurman; Gerben ter Riet; Eric P. Moll van Charante; Sophia E. de Rooij
Background To evaluate the effects of nurse-led multifactorial care to prevent disability in community-living older people. Methods In a cluster randomized trail, 11 practices (n = 1,209 participants) were randomized to the intervention group, and 13 practices (n = 1,074 participants) were randomized to the control group. Participants aged ≥ 70 years were at increased risk of functional decline based on a score ≥ 2 points on the Identification of Seniors at Risk- Primary Care, ISAR-PC. Participants in the intervention group received a systematic comprehensive geriatric assessment, and individually tailored multifactorial interventions coordinated by a trained community-care registered nurse (CCRN) with multiple follow-up home visits. The primary outcome was the participant’s disability as measured by the modified Katz activities of daily living (ADL) index score (range 0–15) at one year follow-up. Secondary outcomes were health-related quality of life, hospitalization, and mortality. Results At baseline, the median age was 82.7 years (IQR 77.0–87.1), the median modified Katz-ADL index score was 2 (IQR 1–5) points in the intervention group and 3 (IQR 1–5) points in the control group. The follow-up rate was 76.8% (n = 1753) after one year and was similar in both trial groups. The adjusted intervention effect on disability was -0.07 (95% confidence interval -0.22 to 0.07; p = 0.33). No intervention effects were found for the secondary outcomes. Conclusions We found no evidence that a one-year individualized multifactorial intervention program with nurse-led care coordination was better than the current primary care in community-living older people at increased risk of functional decline in The Netherlands. Trial Registration Netherlands Trial Register NTR2653
PLOS ONE | 2017
Jacqueline J. Suijker; Janet MacNeil-Vroomen; Marjon van Rijn; Bianca M. Buurman; Sophia E. de Rooij; Eric P. Moll van Charante; Judith E. Bosmans
Objective To evaluate the cost-effectiveness of nurse-led multifactorial care to prevent or postpone new disabilities in community-living older people in comparison with usual care. Methods We conducted cost-effectiveness and cost-utility analyses alongside a cluster randomized trial with one-year follow-up. Participants were aged ≥ 70 years and at increased risk of functional decline. Participants in the intervention group (n = 1209) received a comprehensive geriatric assessment and individually tailored multifactorial interventions coordinated by a community-care registered nurse with multiple follow-up visits. The control group (n = 1074) received usual care. Costs were assessed from a healthcare perspective. Outcome measures included disability (modified Katz-Activities of Daily Living (ADL) index score), and quality-adjusted life-years (QALYs). Statistical uncertainty surrounding Incremental Cost-Effectiveness Ratios (ICERs) was estimated using bootstrapped bivariate regression models while adjusting for confounders. Results There were no statistically significant differences in Katz-ADL index score and QALYs between the two groups. Total mean costs were significantly higher in the intervention group (EUR 6518 (SE 472) compared with usual care (EUR 5214 (SE 338); adjusted mean difference €1457 (95% CI: 572; 2537). Cost-effectiveness acceptability curves showed that the maximum probability of the intervention being cost-effective was 0.14 at a willingness to pay (WTP) of EUR 50,000 per one point improvement on the Katz-ADL index score and 0.04 at a WTP of EUR 50,000 per QALY gained. Conclusion The current intervention was not cost-effective compared to usual care to prevent or postpone new disabilities over a one-year period. Based on these findings, implementation of the evaluated multifactorial nurse-led care model is not to be recommended.
Age and Ageing | 2016
Marjon van Rijn; Bianca M. Buurman; Janet MacNeil Vroomen; Jacqueline J. Suijker; Gerben ter Riet; Eric P. Moll van Charante; Sophia E. de Rooij
OBJECTIVES to compare changes over time in the in-hospital mortality and the mortality from discharge to 30 days post-discharge for six highly prevalent discharge diagnoses in acutely admitted older patients as well as to assess the effect of separately analysing the in-hospital mortality and the mortality from discharge to 30 days post-discharge. STUDY DESIGN AND SETTING retrospective analysis of Dutch hospital and mortality data collected between 2000 and 2010. SUBJECTS the participants included 263,746 people, aged 65 years and above, who were acutely admitted for acute myocardial infarction (AMI), heart failure (HF), stroke, chronic obstructive pulmonary disease, pneumonia or hip fracture. METHODS we compared changes in the in-hospital mortality and mortality from discharge to 30 days post-discharge in the Netherlands using a logistic- and a multinomial regression model. RESULTS for all six diagnoses, the mortality from admission to 30 days post-discharge declined between 2000 and 2009. The decline ranged from a relative risk ratio (RRR) of 0.41 [95% confidence interval (CI) 0.38-0.45] for AMI to 0.77 [0.73-0.82] for HF. In separate analyses, the in-hospital mortality decreased for all six diagnoses. The mortality from discharge to 30 days post-discharge in 2009 compared to 2000 depended on the diagnosis, and either declined, remained unchanged or increased. CONCLUSIONS the decline in hospital mortality in acutely admitted older patients was largely attributable to the lower in-hospital mortality, while the change in the mortality from discharge to 30 days post-discharge depended on the diagnosis. Separately reporting the two rate estimates might be more informative than providing an overall hospital mortality rate.
Tijdschrift Voor Gerontologie En Geriatrie | 2015
Jacqueline J. Suijker; Bianca M. Buurman; Marjon van Rijn; Marlies T. van Dalen; Gerben ter Riet; Nan van Geloven; Rob J. de Haan; Eric P. Moll van Charante; Sophia E. de Rooij
OBJECTIVES To modify and validate in primary healthcare the Identification of Seniors At Risk (ISAR) screening questionnaire to identify older persons at increased risk of functional decline and to compare this strategy with risk stratification by age alone. STUDY DESIGN AND SETTING Prospective development (n=790) and validation cohorts (n=2,573) of community-dwelling persons aged ≥70 years. Functional decline at 12 months was defined as an increase of at least one point on the modified Katz-activities of daily living index score compared with baseline or death. RESULTS Three items were independently associated with functional decline: age (odds ratio [OR] 1.06 per year; 95% confidence interval [CI] 1.02, 1.10) dependence in instrumental activities of daily living (OR: 2.17; 95% CI: 1.46, 3.22), and impaired memory (OR: 2.22; 95% CI: 1.41, 3.51). The area under the receiver operating characteristics curve (AUC) range of the ISAR-primary care model was 0.67-0.70 and 40.6% was identified at increased risk. Validation yielded an AUC range of 0.63-0.64. Age≥75 years alone yielded an AUC range of 0.56-0.57 and identified 65.0% at increased risk in the validation cohort. CONCLUSION Although the ISAR-Primary Care (ISAR-PC) has moderate predictive value, application of the ISAR-PC is more efficient than selection based on age alone in identifying persons at increased risk of functional decline. This paper is a translated and adjusted version based on a publication in Journal of Clinical Epidemiology, 67 (2014) 1121-1130.
Tijdschrift Voor Gerontologie En Geriatrie | 2015
Jacqueline J. Suijker; Bianca M. Buurman; Marjon van Rijn; Marlies T. van Dalen; Gerben ter Riet; Nan van Geloven; Rob J. de Haan; Eric P. Moll van Charante; Sophia E. de Rooij
OBJECTIVES To modify and validate in primary healthcare the Identification of Seniors At Risk (ISAR) screening questionnaire to identify older persons at increased risk of functional decline and to compare this strategy with risk stratification by age alone. STUDY DESIGN AND SETTING Prospective development (n=790) and validation cohorts (n=2,573) of community-dwelling persons aged ≥70 years. Functional decline at 12 months was defined as an increase of at least one point on the modified Katz-activities of daily living index score compared with baseline or death. RESULTS Three items were independently associated with functional decline: age (odds ratio [OR] 1.06 per year; 95% confidence interval [CI] 1.02, 1.10) dependence in instrumental activities of daily living (OR: 2.17; 95% CI: 1.46, 3.22), and impaired memory (OR: 2.22; 95% CI: 1.41, 3.51). The area under the receiver operating characteristics curve (AUC) range of the ISAR-primary care model was 0.67-0.70 and 40.6% was identified at increased risk. Validation yielded an AUC range of 0.63-0.64. Age≥75 years alone yielded an AUC range of 0.56-0.57 and identified 65.0% at increased risk in the validation cohort. CONCLUSION Although the ISAR-Primary Care (ISAR-PC) has moderate predictive value, application of the ISAR-PC is more efficient than selection based on age alone in identifying persons at increased risk of functional decline. This paper is a translated and adjusted version based on a publication in Journal of Clinical Epidemiology, 67 (2014) 1121-1130.
Journal of the American Geriatrics Society | 2015
Janet MacNeil Vroomen; Judith E. Bosmans; Rebecca Holman; Marjon van Rijn; Bianca M. Buurman; Hein van Hout; Sophia E. de Rooij
neurocognitive function using a tablet personal computer: Test-retest reliability and validity in community-dwelling older adults. Geriatr Gerontol Int 2013;13:860–866. 7. Allaire JC, Gamaldo A, Ayotte BJ et al. Mild cognitive impairment and objective instrumental everyday functioning: The everyday cognition battery memory test. J Am Geriatr Soc 2009;57:120–125. 8. Perneczky R, Pohl C, Sorg C et al. Complex activities of daily living in mild cognitive impairment: Conceptual and diagnostic issues. Age Ageing 2006;35:240–245. 9. Triebel KL, Martin R, Griffith HR et al. Declining financial capacity in mild cognitive impairment: A 1-year longitudinal study. Neurology 2009;73:928–934. 10. Brodaty H, Heffernan M, Kochan NA et al. Mild cognitive impairment in a community sample: The Sydney Memory and Ageing Study. Alzheimers Dement 2013;9:310–317.
BMC Health Services Research | 2012
Jacqueline J. Suijker; Bianca M. Buurman; Gerben ter Riet; Marjon van Rijn; Rob J. de Haan; Sophia E. de Rooij; Eric P. Moll van Charante
Journal of Clinical Epidemiology | 2014
Jacqueline J. Suijker; Bianca M. Buurman; Marjon van Rijn; Marlies T. van Dalen; Gerben ter Riet; Nan van Geloven; Rob J. de Haan; Eric P. Moll van Charante; Sophia E. de Rooij
Age and Ageing | 2016
Marjon van Rijn; Jacqueline J. Suijker; Wietske Bol; Eva Hoff; Gerben ter Riet; Sophia E. de Rooij; Eric P. Moll van Charante; B.M. Buurman