{"doi":"10.1111/jgs.18878","title":"Utilization of transitional care management service among Medicare beneficiaries at high risk of readmission","abstract":"The Center for Medicare & Medicaid Services introduced transitional care management (TCM) service in 2013 to oversee care coordination and reduce readmission during the 30 days following hospital discharge.1 TCM uptake has been low (9.3% in 2016)2 and slowly increasing over time.2, 3 Previous research reported lower utilization of TCM services among non-white and dually eligible populations.4 However, it remains uncertain whether TCM is delivered to Medicare beneficiaries at high risk of readmission, such as those living with frailty or dementia. The objective of this study is to explore the utilization rate of TCM service by beneficiaries' characteristics associated with a higher risk of readmission. In a 5% random sample of 2015–2019 Medicare fee-for-service claims, we identified eligible community discharges from short-term hospitals, psychiatric hospitals, skilled nursing facilities, observational stays, or partial hospitalizations.1 We excluded beneficiaries <65 years old; who died within 30 days post-discharge; who did not have >12 months continuous enrollment for Medicare Part A and B before discharge; and who had major surgical procedures. TCM service was identified using Current Procedural Terminology codes (99,495 or 99,496). Demographic information (age, sex, and race), dual eligibility, census region (Northeast, Midwest, South, and West), type of eligible discharge (short-term hospitals, psychiatric hospitals, skilled nursing facilities, observational stays, and partial hospitalizations), primary discharge diagnosis category (e.g., disease of the circulatory system; diseases of the respiratory system; disease of the digestive system; and other), dementia diagnosis based on Chronic Conditions Warehouse5 algorithm at the time of the discharge, and frailty (claims-based frailty index6 <0.15 [robust], 0.15 to <0.25 [pre-frailty], 0.25 to <0.35 [mild frailty], 0.35 to <0.45 [moderate frailty], and ≥0.45 [severe frailty]) were measured. We examined the rate of TCM use by each characteristic among eligible community discharges. To assess TCM use by a global risk of 30-day readmission, we developed a model using a random-intercept logistic regression to predict 30-day readmission based on all aforementioned variables and compared selected characteristics between those at high risk (≥median risk) versus low risk (<median risk) for readmission. Subsequently, we plotted the rate of TCM across the range of the predicted 30-day readmission risk using restricted cubic splines in the overall population and subgroups defined by frailty (claims-based frailty index ≥0.25 or <0.25), dementia, and discharge type (short-term hospital, skilled nursing facility, observation stays). The study was approved by the Advarra Institutional Review Board and informed consent was waived. Analyses were performed using Stata version 18. Of 1,556,347 eligible discharges (mean [SD] age, 78.3 [7.8] years, 56.7% female, 84.2% White), TCM was delivered in 169,536 (10.9%) discharges and 30-day readmission occurred in 123,796 (8.0%) discharges. TCM was less likely to be delivered to beneficiaries who were <75 years old, Black or Hispanic, dually eligible, discharged from settings other than short-term hospitals, and with dementia and moderate or severe frailty (Table 1). These patient characteristics were more prevalent in patients at high risk for readmission (Supplementary Table S1). When we examined TCM use across the predicted risk of 30-day readmission (Figure 1), TCM use steadily increased, peaking at 17% when the predicted risk was 9%, and then it declined in the overall population (Figure 1, panel A). While this pattern was similar across the subgroups examined, the decline in TCM use was more pronounced among beneficiaries with frailty (Figure 1, panel B) and those with dementia (Figure 1, panel C), as well as those who were discharged from short-term hospitals (Figure 1, panel D). We found that TCM service was less likely to be delivered to Medic","journal":"Journal of the American Geriatrics Society","year":2024,"id":459326,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9592,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":270249,"name":"Ellen P. McCarthy","orcid":"0000-0003-1705-6249","position":1,"is_corresponding":false},{"id":270247,"name":"Sandra Shi","orcid":"0000-0001-6801-5602","position":2,"is_corresponding":false},{"id":270248,"name":"Brianne Olivieri‐Mui","orcid":"0000-0001-6739-2019","position":3,"is_corresponding":false},{"id":1264719,"name":"Ji Eun Jang","orcid":"0000-0001-8832-1412","position":4,"is_corresponding":false},{"id":270250,"name":"Dae Hyun Kim","orcid":"0000-0001-7290-6838","position":5,"is_corresponding":false},{"id":1060684,"name":"Chan Mi Park","orcid":"0000-0003-1880-048X","position":0,"is_corresponding":true}],"reference_count":5,"raw_metadata":null,"created_at":"2026-07-19T02:03:55.280882Z","pmid":"38511648","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}