Bridge Copenhagen - Respite Care for Homeless People

The study is a randomized controlled trial with an economic evaluation of a Red Cross respite care stay for homeless people, who have just been discharged from hospital in the capitol region of Denmark.

The effect of a respite care stay for homeless people has never been investigated in Denmark.

Intervention:

The intervention consists of a 2 week stay at a Red Cross respite center. The intervention is intended for homeless or the functional homeless who is not ill enough to stay in the hospital, but to sick or frail to live on the streets. The homeless patients have received the standard medical care and treatment at the hospital and would under normal circumstances be discharged to live on the street and receive care from programs in the municipalities. The respite care center offers a free stay with a place to sleep, food three times a day, help with nursing tasks and help dealing with social problems such as economy and housing. The place is led by a nurse who is working during daytime from Monday to Friday and besides that, volunteers are used as staff.

The control group is discharged from hospital to the street and the usual programs in the municipalities.

Outcome:

The primary outcome is the difference in health economic costs measured in DKK over a period of 3 months. The secondary outcomes are difference in Quality adjusted life-years (QALY) over a period of 3 month, health economic costs over a period of 6 months, difference in elective health care costs, difference in acute health care costs and difference in social costs.

Quality adjusted life-years can be calculated by using the EQ-5D-5l questionnaire that measures health related quality of life (HRQoL). The answers from the questionnaire can be converted to an index value and is used to calculate QALY's. Quality Adjusted Life-Years is also used as the outcome measure of the cost-utility analysis (CUA).

Data collection:

Data about health economic costs for the CUA is going to be extracted from the National Patient Registry, Civil Registration System, The National Health Insurance Service Registry, communal databases and from the operational costs of the respite center.

HRQoL is measured by using the questionnaire EQ-5D-5L. All participants answer the questionnaire at baseline at the hospital before randomization, then 2 weeks later and again 3 month from baseline. The answers from the questionnaire can be converted to an index value and is used to calculate Quality Adjusted Life-years (QALY). In this way it can be investigated whether there has been an increase or decrease in QALY's and clarify if there is any difference between the two groups.

Variables:

There will be collected information on following variables, demographics, mental illness (reported from latest hospital admission by the social nurses), physical health by Charlson score, self-reported substance abuse and duration of homelessness. Moreover records from the Red Cross respite center will be reviewed and information about what the individuals received help with is registered.

Analyses:

Regarding the primary outcome, an analysis of variance is performed to determine the difference between the costs of the intervention and control group. Furthermore analysis of variance is performed to compare the development in QALY's in both groups. Both the analysis for the primary and secondary outcome is performed as an intention to treat analysis.

The economic evaluation is performed like a CUA. Results from the CUA will be presented as an incremental cost-effectiveness ratio (ICER).

In case of a skew distribution between intervention and control group in possible confounders like the variables mentioned above, the analysis will also be adjusted for these.

Sample size:

With a power of 80 %, p- values=0,05, an estimated health economic costs in the control group on 100.000 DKK and a standard deviation of 39.243 DKK. To detect a difference between the groups of minimum 25.000 DKK, a total of 96 participants are needed in the study. That includes 20 % drop-out for data regarding the questionnaires.