Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
Abstract This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on health...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-06-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-021-00463-y |
| _version_ | 1797430131841564672 |
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| author | Sara Bersche Golas Mariana Nikolova-Simons Ramya Palacholla Jorn op den Buijs Gary Garberg Allison Orenstein Joseph Kvedar |
| author_facet | Sara Bersche Golas Mariana Nikolova-Simons Ramya Palacholla Jorn op den Buijs Gary Garberg Allison Orenstein Joseph Kvedar |
| author_sort | Sara Bersche Golas |
| collection | DOAJ |
| description | Abstract This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare utilization among 370 older adult patients enrolled in a homecare management program and using a Personal Emergency Response System. The Control group (CG) received care as usual, while the Intervention group (IG) received Stepped-Care during a 180-day intervention period. The primary outcome, decrease in emergency encounters, was not statistically significant (15%, p = 0.291). However, compared to the CG, the IG had significant reductions in total 90-day readmissions (68%, p = 0.007), patients with 90-day readmissions (76%, p = 0.011), total 180-day readmissions (53%, p = 0.020), and EMS encounters (49%, p = 0.006). Predictive analytics combined with tailored interventions could potentially improve clinical outcomes in older adults, supporting population health management in home or community settings. |
| first_indexed | 2024-03-09T09:23:13Z |
| format | Article |
| id | doaj.art-93dc59efb58c49f28f86f32cbd59bf50 |
| institution | Directory Open Access Journal |
| issn | 2398-6352 |
| language | English |
| last_indexed | 2024-03-09T09:23:13Z |
| publishDate | 2021-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj.art-93dc59efb58c49f28f86f32cbd59bf502023-12-02T06:49:58ZengNature Portfolionpj Digital Medicine2398-63522021-06-014111010.1038/s41746-021-00463-yPredictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trialSara Bersche Golas0Mariana Nikolova-Simons1Ramya Palacholla2Jorn op den Buijs3Gary Garberg4Allison Orenstein5Joseph Kvedar6Partners Connected Health Innovation, Partners HealthCarePhilips ResearchPartners Connected Health Innovation, Partners HealthCarePhilips ResearchPartners HealthCare at HomePhilips Population Health ManagementPartners Connected Health Innovation, Partners HealthCareAbstract This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare utilization among 370 older adult patients enrolled in a homecare management program and using a Personal Emergency Response System. The Control group (CG) received care as usual, while the Intervention group (IG) received Stepped-Care during a 180-day intervention period. The primary outcome, decrease in emergency encounters, was not statistically significant (15%, p = 0.291). However, compared to the CG, the IG had significant reductions in total 90-day readmissions (68%, p = 0.007), patients with 90-day readmissions (76%, p = 0.011), total 180-day readmissions (53%, p = 0.020), and EMS encounters (49%, p = 0.006). Predictive analytics combined with tailored interventions could potentially improve clinical outcomes in older adults, supporting population health management in home or community settings.https://doi.org/10.1038/s41746-021-00463-y |
| spellingShingle | Sara Bersche Golas Mariana Nikolova-Simons Ramya Palacholla Jorn op den Buijs Gary Garberg Allison Orenstein Joseph Kvedar Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial npj Digital Medicine |
| title | Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial |
| title_full | Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial |
| title_fullStr | Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial |
| title_full_unstemmed | Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial |
| title_short | Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial |
| title_sort | predictive analytics and tailored interventions improve clinical outcomes in older adults a randomized controlled trial |
| url | https://doi.org/10.1038/s41746-021-00463-y |
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