Activity Limitation Stages Empirically Derived for Activities of Daily Living (ADL) and Instrumental ADL in the U.S. Adult Community‐Dwelling Medicare Population
Bibliographic record
Abstract
BACKGROUND: Stages quantify severity like conventional measures but further specify the activities that people are still able to perform without difficulty. OBJECTIVE: To develop Activity Limitation Stages for defining and monitoring groups of adult community-dwelling Medicare beneficiaries. DESIGN: Cross-sectional. SETTING: Community. PARTICIPANTS: There were 14,670 respondents to the 2006 Medicare Current Beneficiary Survey. METHODS: Stages were empirically derived for the Activities of Daily Living (ADLs) and the Instrumental Activities of Daily Living (IADLs) by profiling the distribution of performance difficulties as reported by beneficiaries or their proxies. Stage prevalence estimates were determined, and associations with demographic and health variables were examined for all community-dwelling Medicare beneficiaries. MAIN OUTCOME MEASUREMENTS: ADL and IADL stage prevalence. RESULTS: Stages (0-IV) define 5 groups across the separate ADL and IADL domains according to hierarchically organized profiles of retained abilities and difficulties. For example, at ADL-I, people are guaranteed to be able to eat, toilet, dress, and bathe/shower without difficulty, whereas they experience limitations getting in and out of bed or chairs and/or difficulties walking. In 2006, an estimated 6.0, 2.9, 2.2, and 0.5 million beneficiaries had mild (ADL-I), moderate (ADL-II), severe (ADL-III), and complete (ADL-IV) difficulties, respectively, with estimates for IADL stages even higher. ADL and IADL stages showed expected associations with age and health-related concepts, supporting construct validity. Stages showed the strongest associations with conditions that impair cognition. CONCLUSIONS: Stages as aggregate measures reveal the ADLs and IADLs that people are still able to do without difficulty, along with those activities in which they report having difficulty, consequently emphasizing how groups of people with difficulties can still participate in their own lives. Over the coming decades, stages applied to populations served by vertically integrated clinical practices could facilitate large-scale planning, with the goal of maximizing personal autonomy among groups of community-dwelling people with disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".