Skip to content

Vitamin D Osteoporosis Long-Term Care Study

An Interdisciplinary Knowledge Translation Intervention in Long-term Care: The Vitamin D and Osteoporosis Study (ViDOS) Pilot Cluster Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01398527
Acronym
ViDOS
Enrollment
40
Registered
2011-07-20
Start date
2009-07-31
Completion date
2013-05-31
Last updated
2025-07-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Osteoporosis

Keywords

Long-Term Care, Vitamin D

Brief summary

The research question is, does a multifaceted, multidisciplinary intervention including small groups, chart audits and point of care tools, increase the number of people receiving optimal vitamin D therapy in the long term care (LTC) setting? Secondary outcomes include the number of falls and fractures experienced by the residents in each LTC home and the number of residents receiving appropriate bisphosphonate therapy.

Detailed description

This is a cluster randomized controlled trial. In the long-term care (LTC) setting, more research is needed on how health care professionals can be kept up to date on the latest medical evidence for providing care to elderly residents. The LTC environment differs from other health care settings. We need to examine what types of strategies can be used to effectively educate LTC physicians, nurses, and other care professionals about the best care practices. In this study, we will deliver and evaluate a multi-component educational strategy that builds on research in LTC by our team. In order to evaluate its success, 20 homes will receive the intervention and 20 homes will receive usual care. In the intervention homes, a team of experts will give educational sessions at the LTC home, delivering key messages about best practices, helping LTC professionals to plan changes for delivering better care, giving feedback about performance, and providing materials (e.g., DVD, treatment plans). We will also train a professional in the home to champion the cause after the experts are gone. The specific best practices topic we have chosen to test our model is osteoporosis and fractures. These conditions are very common in the elderly living in LTC and negatively impact quality of life. For example, an individual with a hip or other fracture may experience unnecessary pain and suffering and even pre-mature death. There are effective treatments that can be used to reduce fractures, including vitamin D, which is a low-cost, well-tolerated and easy treatment to deliver. Unfortunately our previous studies have shown that most LTC residents are not receiving effective fracture-prevention treatments. To determine our intervention's success, we will examine whether the rate of vitamin D use and other treatments increases, and whether fewer LTC residents fall and fracture. We are also interested in studying the strategy's format and feasibility and what future changes should be made.

Interventions

OTHEREduc sessions & LTC Osteoporosis toolkit

Three points of contact to be made. The first being a 1-hour personal visit at each intervention LTC home from an osteoporosis expert with the homes professional or health advisory committee (PAC or HAC). The second and third contact points will be made through webinars between the osteoporosis expert and the group from the first meeting.

Sponsors

McMaster University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* LTC homes in Ontario that are serviced by MPGI

Design outcomes

Primary

MeasureTime frame
Number of LTC residents on vitamin D16 months

Secondary

MeasureTime frame
Number of falls and fractures16 months
Vitamin D dose16 months
Bisphosphonate use by LTC residents16 months

Countries

Canada

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 20, 2026