Risk Evaluation for Support: Predicting Elder Life in the Community Tool (RESPECT)

NCT ID: NCT02779309

Last Updated: 2018-05-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

486000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2007-01-31

Study Completion Date

2017-12-31

Brief Summary

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To develop a mortality risk prediction model that can be applied to the wide spectrum of risks that are seen in the home care setting.

Detailed Description

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ABSTRACT

Introduction: Older adults living in the community often have multiple, chronic conditions and functional impairments. A challenge for healthcare providers working in the community is the lack of a predictive tool that can be applied to the broad spectrum of mortality risks observed and may be used to inform care planning.

Objective: To develop a mortality risk prediction model for older adults in the home care setting. The final algorithm will be implemented as a web-based calculator that can be used by older adults needing care, as well as their informal and formal caregivers.

Design: Open cohort study using the Resident Assessment Instrument for Home Care (RAI-HC) data in Ontario, Canada, from January 1, 2007, to December 31, 2013.

Participants: The derivation cohort will consist of approximately 437 000 home care recipients from January 1, 2007, to December 31, 2012. A split sample validation cohort will include approximately 122 000 recipients from January 1 to December 31, 2013.

Main outcome measures: Predicted survival from the time of an RAI-HC assessment. All deaths (N ≈ 245 000) will be ascertained through linkage to the provincial vital statistics records.

Statistical analysis: Proportional hazards regression will be estimated after assessment of assumptions. Predictors will include sociodemographic characteristics, social support, health conditions, functional status, cognition, symptoms of decline, and prior healthcare use. Model performance will be evaluated for 6- and 12-month predicted risks, including measures of calibration (e.g., calibration plots) and discrimination (e.g., c-statistics). The final algorithm will be generated by combining development and validation data.

Conditions

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Death

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Development Cohort

437,000 home care recipients who received services from January 1, 2007 to December 31, 2012.

Home Care/RAI-HC Assessment

Intervention Type PROCEDURE

Home care recipients who have received a comprehensive health assessment using the Resident Assessment Instrument for Home Care (RAI-HC).

Validation Cohort

122,000 home care recipients who received services from January 1, 2013 to December 31, 2013.

Home Care/RAI-HC Assessment

Intervention Type PROCEDURE

Home care recipients who have received a comprehensive health assessment using the Resident Assessment Instrument for Home Care (RAI-HC).

Interventions

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Home Care/RAI-HC Assessment

Home care recipients who have received a comprehensive health assessment using the Resident Assessment Instrument for Home Care (RAI-HC).

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* Have received a structured RAI-HC assessment
* Between 50 and 105 years of age

Exclusion Criteria

* Not eligible for Ontario's universal health insurance program (OHIP)
* Did not receive a structured RAI-HC assessment
Minimum Eligible Age

50 Years

Maximum Eligible Age

105 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Institute for Clinical Evaluative Sciences

OTHER

Sponsor Role collaborator

Canadian Institutes of Health Research (CIHR)

OTHER_GOV

Sponsor Role collaborator

Ottawa Hospital Research Institute

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

References

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Hsu AT, Manuel DG, Taljaard M, Chalifoux M, Bennett C, Costa AP, Bronskill S, Kobewka D, Tanuseputro P. Algorithm for predicting death among older adults in the home care setting: study protocol for the Risk Evaluation for Support: Predictions for Elder-life in the Community Tool (RESPECT). BMJ Open. 2016 Dec 1;6(12):e013666. doi: 10.1136/bmjopen-2016-013666.

Reference Type DERIVED
PMID: 27909039 (View on PubMed)

Other Identifiers

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Trim no. P0901 074

Identifier Type: OTHER

Identifier Source: secondary_id

CIHR FRN - 142876

Identifier Type: -

Identifier Source: org_study_id

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