A Home Care Quality-of-Life Platform Was Rarely Used, and Scores Didn’t Improve

A digital dashboard that shows a home care team how an older patient is really doing sounds like the kind of fix that should work. The patient fills in a questionnaire about symptoms, mood, and the practical side of daily life; the numbers land in a clean graph; the nurse or physician opens it before a visit and acts on what they see. Nothing about that chain is unreasonable. What a newly published Canadian trial shows is how easily the chain breaks.

What was actually tested

The study, published May 6, 2025 in PLOS ONE and registered at ClinicalTrials.gov (NCT02940951), was a pragmatic randomized trial run with nine home health care teams serving urban areas in British Columbia and Alberta. It tested a co-designed digital quality-of-life assessment and practice support system, or QPSS. The intention-to-treat sample was 331 patients aged 55 or older — 166 in the intervention group, 165 in usual care — plus 113 family caregivers (62 intervention, 51 usual care).

One detail matters more than it might first appear. Patients and caregivers in both groups had accounts, could complete the assessments, and could see their own results. The only difference was whether the home health care team could see those results. So the trial was not testing whether people would answer questionnaires. It was testing whether giving clinicians access to the answers would change anything.

Quality of life was measured every two months for a year, using the MQOL-E for patients and the QOLLTI-F v3 for caregivers, both on 0-to-10 scales where higher is better.

The teams helped build the thing

This was not a platform dropped on a clinic from above. Each site had champions, leadership and administrative backing, and a year of consultation to fit the system to local workflow. Clinicians asked for quickly searchable line graphs, side-by-side bar graphs, tables, printable output, and caregiver data linked to each patient. They got much of that.

They also made a judgment call worth noting. Presented with a satisfaction-with-care questionnaire from the original prototype, they recommended withholding those scores from clinicians, because patients and caregivers might not feel safe telling the people caring for them that they were dissatisfied. That is a small, sensible piece of design humility.

What happened when it went live

Over a 25-month intervention period, 48 home health professionals viewed quality-of-life data on 271 occasions. Median viewing time was 89 seconds. Clinicians looked at data at least once for 94 of 166 intervention patients (56.6%) and 27 of 62 caregivers (43.5%). Many patients' data were never opened at all.

Average patient quality of life started at 6.92. It declined by 0.31 points in the intervention group and 0.30 in usual care over the year. The difference in slopes was -0.01, with a p-value of .96 — about as close to nothing as a result gets. Caregiver quality of life started at 7.06 and fell by 0.36 points in the intervention group versus 0.13 in usual care, a difference with p=.34, which is to say too uncertain to read as an effect in either direction. No domain shifted substantially in either group, and the researchers found no link between how often or how long clinicians used the platform and how patients fared.

Why it likely didn't move

Clinicians told the researchers they valued the information. They also described competing priorities, time pressure, technological friction, and — perhaps the most concrete complaint — the fact that the platform lived on a separate website from the systems they already use. Some worked around it by printing pages or opening it on another device. A handful used it regularly and folded it into care.

The authors are careful about what this means. Their conclusion is that merely providing access to quality-of-life data through a digital platform is not enough to improve outcomes. They explicitly do not rule out that more and better use could help identify and address concerns. They also flag real methodological limits: wide individual variation in trajectories, the possibility of response shift (people recalibrating what quality of life means as illness progresses), and heavy attrition — of 373 randomized patients, 219 were lost to follow-up, including 40 deaths, and only 116 of the 331 analyzed patients completed the final one-year measurement.

What this means at the kitchen table

For families arranging home care, the practical question was never whether a portal exists. It is whether anyone with the authority and the minutes to act is looking, and whether the information arrives where their attention already is. A dashboard that requires a second login, during a shift with no slack, is a filing cabinet, not a conversation.

If a care team offers you a questionnaire, it is still worth filling in — it is one of the few ways your own account of things enters the record. But it is fair to ask what happens next, and who reads it. Access is the easy part. Attention is the scarce resource.