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9. Long-term health-care utilisation in older patients with cancer and the association with the Geriatric 8 screening tool: a retrospective analysis using linked clinical and population-based data in Belgium

Author

Depoorter, Victoria, Vanschoenbeek, Katrijn, Decoster, Lore, Silversmit, Geert, Debruyne, Philip R, De Groof, Inge, Bron, Dominique, Cornélis, Frank, Luce, Sylvie, Focan, Christian, Verschaeve, Vincent, Debugne, Gwenaëlle, Langenaeken, Christine, Van Den Bulck, Heidi, Goeminne, Jean-Charles, Teurfs, Wesley, Jerusalem, Guy, Schrijvers, Dirk, Petit, Bénédicte, Rasschaert, Marika, Praet, Jean-Philippe, Vandenborre, Katherine, Milisen, Koen, Flamaing, Johan, Kenis, Cindy, Verdoodt, Freija, and Wildiers, Hans

Published
2023
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10. Linking clinical and population-based data in older patients with cancer in Belgium: Feasibility and clinical outcomes

Author

Depoorter, Victoria, Vanschoenbeek, Katrijn, Decoster, Lore, De Schutter, Harlinde, Debruyne, Philip R., De Groof, Inge, Bron, Dominique, Cornélis, Frank, Luce, Sylvie, Focan, Christian, Verschaeve, Vincent, Debugne, Gwenaëlle, Langenaeken, Christine, Van Den Bulck, Heidi, Goeminne, Jean-Charles, Teurfs, Wesley, Jerusalem, Guy, Schrijvers, Dirk, Petit, Bénédicte, Rasschaert, Marika, Praet, Jean-Philippe, Vandenborre, Katherine, Milisen, Koen, Flamaing, Johan, Kenis, Cindy, Verdoodt, Freija, and Wildiers, Hans

Published
2023
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11. Functional status in older patients with cancer and a frailty risk profile: A multicenter observational study

Author

Meert, Glen, Kenis, Cindy, Milisen, Koen, Debruyne, Philip R., De Groof, Inge, Focan, Christian, Cornélis, Frank, Verschaeve, Vincent, Bachmann, Christian, Bron, Dominique, Den Bulck, Heidi Van, Schrijvers, Dirk, Langenaeken, Christine, Specenier, Pol, Jerusalem, Guy, Praet, Jean-Philippe, Lobelle, Jean-Pierre, Flamaing, Johan, Wildiers, Hans, and Decoster, Lore

Published
2022
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14. Incidence of falls and fall-related injuries and their predictive factors in frail older persons with cancer: a multicenter study

Author

Kenis, Cindy, Decoster, Lore, Flamaing, Johan, Debruyne, Philip R., De Groof, Inge, Focan, Christian, Cornélis, Frank, Verschaeve, Vincent, Bachmann, Christian, Bron, Dominique, Van den Bulck, Heidi, Schrijvers, Dirk, Langenaeken, Christine, Specenier, Pol, Jerusalem, Guy, Praet, Jean-Philippe, De Cock, Jessie, Lobelle, Jean-Pierre, Wildiers, Hans, and Milisen, Koen

Published
2022
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16. Unplanned hospitalizations in older patients with cancer: Occurrence and predictive factors

Author

Lodewijckx, Elke, Kenis, Cindy, Flamaing, Johan, Debruyne, Philip, De Groof, Inge, Focan, Christian, Cornélis, Frank, Verschaeve, Vincent, Bachmann, Christian, Bron, Dominique, Luce, Sylvie, Debugne, Gwenaelle, Van den Bulck, Heidi, Goeminne, Jean-Charles, Schrijvers, Dirk, Geboers, Katrien, Petit, Benedicte, Langenaeken, Christine, Van Rijswijk, Ruud, Specenier, Pol, Jerusalem, Guy, Praet, Jean-Philippe, Vandenborre, Katherine, Lobele, Jean-Pierre, Milisen, Koen, Wildiers, Hans, and Decoster, Lore

Published
2021
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18. Determinants influencing the implementation of multifactorial falls risk assessment and multidomain interventions in community- dwelling older people: a systematic review.

Author

Vandervelde, Sara, Bosch, Natalie Van den, Vlaeyen, Ellen, Casterlé, Bernadette Dierckx de, Flamaing, Johan, Belaen, Goedele, Tuand, Krizia, Vandendriessche, Thomas, and Milisen, Koen

Subjects
RISK assessment, MEDICAL information storage & retrieval systems, INDEPENDENT living, CINAHL database, SYSTEMATIC reviews, MEDLINE, GERIATRIC assessment, MEDICAL databases, ONLINE information services, ACCIDENTAL falls, OLD age
Abstract

Background Multifactorial falls risk assessment and multidomain interventions are recommended by the World guidelines for falls prevention and management. To successfully implement these interventions, it is important to understand determinants influencing the implementation. Methods A literature search was conducted for this systematic review on the 3 December 2021 and updated on the 3 April 2023 in five databases: PubMed (including MEDLINE), EMBASE (via Embase.com), Cochrane Central Register of Controlled Trials (via Cochrane Library), Web of Science Core Collection and CINAHL (via EBSCO). Studies were included if they reported on determinants influencing the implementation of a multifactorial falls risk assessment and/or multidomain interventions in community-dwelling older people. Editorials, opinion papers, systematic reviews and studies focusing on one population (e.g. Parkinson) were excluded. Two researchers independently screened the articles on title, abstract and full text. The quality was evaluated based on a sensitivity analysis. 'The Comprehensive Integrated Checklist of Determinants of practice' was used to categorise the determinants. Results Twenty-nine studies were included. Determinants were classified as barriers (n  = 40) and facilitators (n  = 35). The availability of necessary resources is the most reported determinant. Other commonly reported determinants are knowledge, intention/beliefs and motivation at the levels of older people and healthcare professionals, fitting of the intervention into current practice, communication, team and referral processes and financial (dis)incentives. Conclusions Mapping of the barriers and facilitators is essential to choose implementation strategies tailored to the context, and to enhance the uptake and effectiveness of a multifactorial falls risk assessment and/or multidomain interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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21. The prognostic value of patient-reported Health-Related Quality of Life and Geriatric Assessment in predicting early death in 6769 older (≥70 years) patients with different cancer tumors

Author

Quinten, Chantal, Kenis, Cindy, Decoster, Lore, Debruyne, Philip R., De Groof, Inge, Focan, Christian, Cornelis, Frank, Verschaeve, Vincent, Bachmann, Christian, Bron, Dominique, Luce, Syvlie, Debugne, Gwenaëlle, Van den Bulck, Heidi, Goeminne, Jean-Charles, Schrijvers, Dirk, Geboers, Katrien, Petit, Benedicte, Langenaeken, Christine, Van Rijswijk, Ruud, Specenier, Pol, Jerusalem, Guy, Praet, Jean-Philippe, Vandenborre, Katherine, Lycke, Michelle, Flamaing, Johan, Milisen, Koen, Lobelle, Jean-Pierre, and Wildiers, Hans

Published
2020
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31. Health related quality of life in older patients with solid tumors and prognostic factors for decline

Author

Decoster, Lore, Quinten, Chantal, Kenis, Cindy, Flamaing, Johan, Debruyne, Philip R., De Groof, Inge, Focan, Christian, Cornelis, Frank, Verschaeve, Vincent, Bachmann, Christian, Bron, Dominique, Luce, Sylvie, Debugne, Gwenaëlle, den Bulck, Goeminne, Jean-Charles, Baitar, Abdelbari, Geboers, Katrien, Petit, Benedicte, Langenaeken, Christine, Van Rijswijk, Ruud, Specenier, Pol, Jerusalem, Guy, Praet, Jean-Philippe, Vandenborre, Katherine, Lobelle, Jean-Pierre, Lycke, Michelle, Milisen, Koen, and Wildiers, Hans

Published
2019
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32. In-hospital rehabilitation with the Geriatric Activation Program Pellenberg improves functional performance in a heterogeneous geriatric population.

Author

van Dijk, Margaretha, Allegaert, Patsy, Locus, Marlies, Saenen, Leen, Breuls, Sofie, Michiels, Demi, Vermeulen, Lien, Jannes, Stefanie, Van Kerckhoven, Yanouk, Tournoy, Jos, Verheyden, Geert, and Flamaing, Johan

Subjects
ELDER care, DATA analysis, EVALUATION of human services programs, SCIENTIFIC observation, COGNITIVE processing speed, LOGISTIC regression analysis, FUNCTIONAL status, DESCRIPTIVE statistics, GERIATRIC rehabilitation, LONGITUDINAL method, MUSCLE strength, GERIATRIC Depression Scale, STATISTICS, WALKING speed, CONFIDENCE intervals, HEALTH outcome assessment, POSTURAL balance, OLD age
Abstract

Regaining independent living can be challenging in patients undergoing inpatient geriatric rehabilitation. Given the paucity of evidence-based physiotherapy programs for this particular heterogeneous group, the Geriatric Activation Program Pellenberg (GAPP) was developed. Investigate the evolution of functional performance, and predict detectable changes throughout 4 weeks of GAPP. Methods: Participants in this observational study (2017–2019) followed GAPP as part of their rehabilitation program. Functional balance (Berg balance scale (BBS)) and independence (Katz scale) were the primary outcomes, with gait speed, elbow and knee extension strength, cognitive processing speed, and mood as secondary outcomes. All outcomes were assessed at baseline, 2 weeks and 4 weeks later. Prediction analysis was conducted using logistic regression modeling. Previously reported minimal detectable change with 95% confidence interval (MDC95) was used as detectable change. We recruited 111 participants, with 83 completing 4 weeks of GAPP and all assessments. Over 4 weeks, all outcome measures showed a significant improvement (p ≤.007). Detectable change was found for BBS (mean improvement of 12.8 points (95% CI: 10.9–14.8), MDC95 = 6.6) and gait speed (mean improvement of 0.24 m/s (95% CI: 0.19–0.29), MDC95 = 0.1 m/s). We found that baseline scores lower than 26 on the BBS (75% sensitivity, 65% specificity) and gait speed lower than 0.34 m/s (53% sensitivity, 81% specificity) were associated with participants achieving detectable change at 4 weeks on BBS and gait speed, respectively. Functional performance of a heterogeneous group of geriatric inpatients improved notably after 4 weeks of GAPP. Baseline scores on BBS and gait speed can partially predict detectable changes in functional performance. [ABSTRACT FROM AUTHOR]

Published
2024
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38. End-of-Life Care in the Last Three Months before Death in Older Patients with Cancer in Belgium: A Large Retrospective Cohort Study Using Data Linkage

Author

Depoorter, Victoria, primary, Vanschoenbeek, Katrijn, additional, Decoster, Lore, additional, Silversmit, Geert, additional, Debruyne, Philip R., additional, De Groof, Inge, additional, Bron, Dominique, additional, Cornélis, Frank, additional, Luce, Sylvie, additional, Focan, Christian, additional, Verschaeve, Vincent, additional, Debugne, Gwenaëlle, additional, Langenaeken, Christine, additional, Van Den Bulck, Heidi, additional, Goeminne, Jean-Charles, additional, Teurfs, Wesley, additional, Jerusalem, Guy, additional, Schrijvers, Dirk, additional, Petit, Bénédicte, additional, Rasschaert, Marika, additional, Praet, Jean-Philippe, additional, Vandenborre, Katherine, additional, De Schutter, Harlinde, additional, Milisen, Koen, additional, Flamaing, Johan, additional, Kenis, Cindy, additional, Verdoodt, Freija, additional, and Wildiers, Hans, additional

Published
2023
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43. End-of-Life Care in the Last Three Months before Death in Older Patients with Cancer in Belgium: A Large Retrospective Cohort Study Using Data Linkage

Author

Depoorter, Victoria, Vanschoenbeek, Katrijn, Decoster, Lore, Silversmit, Geert, Debruyne, Philip, De Groof, Inge, Bron, Dominique, Cornélis, Frank, Luce, Sylvie, Focan, Christian, Verschaeve, Vincent, Debugne, Gwenaëlle, Langenaeken, Christine, Van Den Bulck, Heidi, Goeminne, Jean-Charles, Teurfs, Wesley, Jerusalem, Guy, Schrijvers, Dirk, Petit, Bénédicte, Rasschaert, Marika, Praet, Jean-Philippe, Vandenborre, Katherine, De Schutter, Harlinde, Milisen, Koen, Flamaing, Johan, Kenis, Cindy, Verdoodt, Freija, and Wildiers, Hans

Abstract

This study aims to describe end-of-life (EOL) care in older patients with cancer and investigate the association between geriatric assessment (GA) results and specialized palliative care (SPC) use. Older patients with a new cancer diagnosis (2009–2015) originally included in a previous multicentric study were selected if they died before the end of follow-up (2019). At the time of cancer diagnosis, patients underwent geriatric screening with Geriatric 8 (G8) followed by GA in case of a G8 score ≤14/17. These data were linked to the cancer registry and healthcare reimbursement data for follow-up. EOL care was assessed in the last three months before death, and associations were analyzed using logistic regression. A total of 3546 deceased older patients with cancer with a median age of 79 years at diagnosis were included. Breast, colon, and lung cancer were the most common diagnoses. In the last three months of life, 76.3% were hospitalized, 49.1% had an emergency department visit, and 43.5% received SPC. In total, 55.0% died in the hospital (38.5% in a non-palliative care unit and 16.4% in a palliative care unit). In multivariable analyses, functional and cognitive impairment at cancer diagnosis was associated with less SPC. Further research on optimizing EOL healthcare utilization and broadening access to SPC is needed. ispartof: Cancers vol:15 issue:13 pages:3349- ispartof: location:Switzerland status: published

Published
2023

47. Geriatric care for surgical patients: results and reflections from a cross-sectional survey in acute Belgian hospitals

Author

UCL - SSS/IRSS - Institut de recherche santé et société, Fagard, Katleen, Deschodt, Mieke, Geyskens, Lisa, Willems, Sarah, Boland, Benoît, Wolthuis, Albert, Flamaing, Johan, UCL - SSS/IRSS - Institut de recherche santé et société, Fagard, Katleen, Deschodt, Mieke, Geyskens, Lisa, Willems, Sarah, Boland, Benoît, Wolthuis, Albert, and Flamaing, Johan

Abstract

Purpose: To explore geriatric care for surgical patients in Belgian hospitals and geriatricians’ reflections on current practice. Methods: A web-based survey was developed based on literature review and local expertise, and was pretested with 4 participants. In June 2021, the 27-question survey was sent to 91 heads of geriatrics departments. Descriptive statistics and thematic analysis were performed. Results: Fifty-four surveys were completed, corresponding to a response rate of 59%. Preoperative geriatric risk screening is performed in 25 hospitals and systematically followed by geriatric assessment in 17 hospitals. During the perioperative hospitalisation, 91% of geriatric teams provide non-medical and 82% provide medical advice. To a lesser extent, they provide geriatric protocols, geriatric education and training, and attend multidisciplinary team meetings. Overall, time allocation of geriatric teams goes mainly to postoperative evaluations and interventions, rather than to preoperative assessment and care planning. Most surgical patients are hospitalised on surgical wards, with reactive (73%) or proactive (46%) geriatric consultation. In 36 hospitals, surgical patients are also admitted on geriatric wards, predominantly orthopaedic/trauma, abdominal and vascular surgery. Ninety-eight per cent of geriatricians feel that more geriatric input for surgical patients is needed. The most common reported barriers to further implement geriatric-surgical services are shortage of geriatricians and geriatric nurses, and unadjusted legislation and financing. Conclusio: Geriatric care for surgical patients in Belgian hospitals is mainly reactive, although geriatricians favour more proactive services. The main opportunities and challenges for improvement are to resolve staff shortages in the geriatric work field and to update legislation and financing.

Published
2023

48. Linking clinical and population-based data in older patients with cancer in Belgium: Feasibility and clinical outcomes.

Author

UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Service d'oncologie médicale, Depoorter, Victoria, Vanschoenbeek, Katrijn, Decoster, Lore, De Schutter, Harlinde, Debruyne, Philip R, De Groof, Inge, Bron, Dominique, Cornélis, Frank, Luce, Sylvie, Focan, Christian, Verschaeve, Vincent, Debugne, Gwenaëlle, Langenaeken, Christine, Van Den Bulck, Heidi, Goeminne, Jean-Charles, Teurfs, Wesley, Jerusalem, Guy, Schrijvers, Dirk, Petit, Bénédicte, Rasschaert, Marika, Praet, Jean-Philippe, Vandenborre, Katherine, Milisen, Koen, Flamaing, Johan, Kenis, Cindy, Verdoodt, Freija, Wildiers, Hans, UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Service d'oncologie médicale, Depoorter, Victoria, Vanschoenbeek, Katrijn, Decoster, Lore, De Schutter, Harlinde, Debruyne, Philip R, De Groof, Inge, Bron, Dominique, Cornélis, Frank, Luce, Sylvie, Focan, Christian, Verschaeve, Vincent, Debugne, Gwenaëlle, Langenaeken, Christine, Van Den Bulck, Heidi, Goeminne, Jean-Charles, Teurfs, Wesley, Jerusalem, Guy, Schrijvers, Dirk, Petit, Bénédicte, Rasschaert, Marika, Praet, Jean-Philippe, Vandenborre, Katherine, Milisen, Koen, Flamaing, Johan, Kenis, Cindy, Verdoodt, Freija, and Wildiers, Hans

Abstract

Geriatric screening and geriatric assessment (GS/GA) have proven their benefits in the care for older patients with cancer. However, less is known about the predictive value of GS/GA for outcomes. To research this, clinical data on GS/GA can be enriched with population-based data. In this article we describe the methods and feasibility of data linkage, and first clinical outcomes (GS/GA results and overall survival). A large cohort study consisting of patients aged ≥70 years with a new cancer diagnosis was established using linked data from clinical and population-based databases. Clinical data were derived from a previous prospective study where older patients with cancer were screened with G8, followed by GA in case of an abnormal result (GS/GA study; 2009-2015). These data were linked to cancer registration data from the Belgian Cancer Registry (BCR), reimbursement data of the health insurance companies (InterMutualistic Agency, IMA), and hospital discharge data (Technical Cell, TCT). Cox regression analyses were conducted to evaluate the prognostic value of the G8 geriatric screening tool. Of the 8067 eligible patients with a new cancer diagnosis, linkage of data from the GS/GA study and data from the BCR was successful for 93.7%, resulting in a cohort of 7556 patients available for the current analysis. Further linkage with the IMA and TCT database resulted in a cohort of 7314 patients (96.8%). Based on G8 geriatric screening, 67.9% of the patients had a geriatric risk profile. Malnutrition and functional dependence were the most common GA-identified risk factors. An abnormal baseline G8 score (≤14/17) was associated with lower overall survival (adjusted HR [aHR] = 1.62 [1.50-1.75], p < 0.001). Linking clinical and population-based databases for older patients with cancer has shown to be feasible. The GS/GA results at cancer diagnosis demonstrate the vulnerability of this population and the G8 score showed prognostic value for overall survival. The established

Published
2023

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