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Linkens AEMJH, Milosevic V, van Nie N, Zwietering A, de Leeuw PW, van den Akker M, Schols JMGA, Evers SMAA, Gonzalvo CM, Winkens B, van de Loo BPA, de Wolf L, Peeters L, de Ree M, Spaetgens B, Hurkens KPGM, van der Kuy HM. Control in the Hospital by Extensive Clinical rules for Unplanned hospitalizations in older Patients (CHECkUP); study design of a multicentre randomized study. BMC Geriatr 2022; 22:36. [PMID: 35012478 PMCID: PMC8744034 DOI: 10.1186/s12877-021-02723-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/15/2021] [Indexed: 11/16/2022] Open
Abstract
Background Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The reported incidence of medication-related (re)admissions varies widely due to the lack of a clear definition. Some medications are known to increase the risk for medication-related admission and are therefore published in the triggerlist of the Dutch guideline for Polypharmacy in older patients. Different interventions to support medication optimization have been studied to reduce medication-related (re)admissions. However, the optimal template of medication optimization is still unknown, which contributes to the large heterogeneity of their effect on hospital readmissions. Therefore, we implemented a clinical decision support system (CDSS) to optimize medication lists and investigate whether continuous use of a CDSS reduces the number of hospital readmissions in older patients, who previously have had an unplanned probably medication-related hospitalization. Methods The CHECkUP study is a multicentre randomized study in older (≥60 years) patients with an unplanned hospitalization, polypharmacy (≥5 medications) and using at least two medications from the triggerlist, from Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands. Patients will be randomized. The intervention consists of continuous (weekly) use of a CDSS, which generates a Medication Optimization Profile, which will be sent to the patient’s general practitioner and pharmacist. The control group will receive standard care. The primary outcome is hospital readmission within 1 year after study inclusion. Secondary outcomes are one-year mortality, number of emergency department visits, nursing home admissions, time to hospital readmissions and we will evaluate the quality of life and socio-economic status. Discussion This study is expected to add evidence on the knowledge of medication optimization and whether use of a continuous CDSS ameliorates the risk of adverse outcomes in older patients, already at an increased risk of medication-related (re)admission. To our knowledge, this is the first large study, providing one-year follow-up data and reporting not only on quality of care indicators, but also on quality-of-life. Trial registration The trial was registered in the Netherlands Trial Register on October 14, 2018, identifier: NL7449 (NTR7691). https://www.trialregister.nl/trial/7449. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02723-8.
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Affiliation(s)
- Aimée E M J H Linkens
- Department of Internal Medicine, Division of General Internal Medicine, Section Geriatric Medicine, Maastricht University Medical Centre, PO Box 5800, 6202, AZ, Maastricht, The Netherlands. .,Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, 3015, GD, Rotterdam, The Netherlands.
| | - Vanja Milosevic
- Clinical Pharmacy, Elkerliek Hospital, Helmond, The Netherlands
| | - Noémi van Nie
- Zuyderland Medical Centre, Heerlen, Limburg, The Netherlands
| | - Anne Zwietering
- Department of Internal Medicine, Geriatric Medicine, Zuyderland Medical Centre, Heerlen, The Netherlands
| | - Peter W de Leeuw
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marjan van den Akker
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.,Institute of General Practice, Goethe University, Frankfurt am Main, Germany.,Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Jos M G A Schols
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.,Department of Health Services Research and Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Silvia M A A Evers
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.,Centre for Economic Evaluation and Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Carlota Mestres Gonzalvo
- Clinical Pharmacy and Toxicology, Maastricht University Medical Centre+, Maastricht, Limburg, The Netherlands
| | - Bjorn Winkens
- Department of Methodology and Statistics, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | | | | | | | | | - Bart Spaetgens
- Department of Internal Medicine, Division of General Internal Medicine, Section Geriatric Medicine, Maastricht University Medical Centre, PO Box 5800, 6202, AZ, Maastricht, The Netherlands.,Department of Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Kim P G M Hurkens
- Department of Internal Medicine, Geriatric Medicine, Zuyderland Medical Centre, Heerlen, The Netherlands
| | - Hugo M van der Kuy
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, 3015, GD, Rotterdam, The Netherlands
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