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Short-Horizon Metrics and the Persistence of Capacity-Debiting Practices in Nursing Homes
O'Leary R.. Preprints.org, 2026-10-13
Topic: Health services, long-term care and technology
Interventions that reduce functional capacity — antipsychotics or benzodiazepines for agitation, activity restriction for fall prevention, prolonged bed rest, incontinence product use, and catheterization — remain common in nursing homes even though functional decline is measured, publicly reported, and built into Five-Star ratings. This article asks why measurement has not produced control. Drawing on the quality-measurement, staffing, and physiological literatures, it derives four mechanisms from the structure of existing long-stay measures and current staffing conditions: timescale and attribution asymmetry, threshold-based detection, measurement of state rather than trajectory, and staffing scarcity. These interact rather than compete, and together they favor variables whose feedback loops are faster and more personal than those of functional decline. The physiological costs of the principal capacity-debiting interventions are then organized against five determinants of functional reserve and graded by strength of evidence, yielding a matrix intended as a clinical instrument. Precedent from cardiovascular pharmacology shows that a treatment can improve a managed mean while degrading an unmanaged property of the same variable, with adverse net effect. The CMS National Partnership to Improve Dementia Care demonstrates that measurement design itself can move practice at national scale.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
O'Leary, R. (2026). Short-Horizon Metrics and the Persistence of Capacity-Debiting Practices in Nursing Homes. Preprints.org. https://doi.org/10.20944/preprints202610.1146.v1
Vancouver
O'Leary R. Short-Horizon Metrics and the Persistence of Capacity-Debiting Practices in Nursing Homes. Preprints.org. 2026. doi:10.20944/preprints202610.1146.v1.
BibTeX
@article{oleary2026-2a1988c1,
author = {O'Leary, R.},
title = {{Short-Horizon Metrics and the Persistence of Capacity-Debiting Practices in Nursing Homes}},
journal = {Preprints.org},
year = {2026},
doi = {10.20944/preprints202610.1146.v1},
url = {https://doi.org/10.20944/preprints202610.1146.v1}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Drawing on the quality-measurement, staffing, and physiological literatures, it derives four mechanisms from the structure of existing long-stay measures and current staffing conditions: timescale and attribution asymmetry, threshold-based detection, measurement of state rather than trajectory, and staffing scarcity.
- These interact rather than compete, and together they favor variables whose feedback loops are faster and more personal than those of functional decline.
- The physiological costs of the principal capacity-debiting interventions are then organized against five determinants of functional reserve and graded by strength of evidence, yielding a matrix intended as a clinical instrument.
- Precedent from cardiovascular pharmacology shows that a treatment can improve a managed mean while degrading an unmanaged property of the same variable, with adverse net effect.
- The CMS National Partnership to Improve Dementia Care demonstrates that measurement design itself can move practice at national scale.
Study details
- Evidence strengthLow
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 21 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it. We have no data on times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 13 of the 62 points we could judge it on, which is 21 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (Preprints.org) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 4 / 10 | Preprint — not yet peer-reviewed. Hosted on a preprint server. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 13 / 62 | Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 13 of the 62 points we could judge it on is 21 out of 100. |
| Total | 21 / 100 | Capped to 16 because this is not a peer-reviewed article. |
What each of these 20 components measures, and what this score is not →
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