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Survival and Health Economic Outcomes in Heart Failure Diagnosed at Hospital Admission Versus Community Settings: a Propensity-matched Analysis

Abstract

Background And Aims: Most patients with heart failure (HF) are diagnosed following a hospital admission. The clinical and health economic impacts of index HF diagnosis made on admission to hospital versus community settings are not known.

Methods: We used the North West London Discover database to examine 34 208 patients receiving an index diagnosis of HF between January 2015 and December 2020. A propensity score-matched (PSM) cohort was identified to adjust for differences in socioeconomic status, cardiovascular risk and pre-diagnosis health resource utilisation cost. Outcomes were stratified by two pathways to index HF diagnosis: a 'hospital pathway' was defined by diagnosis following hospital admission; and a 'community pathway' by diagnosis via a general practitioner or outpatient services. The primary clinical and health economic endpoints were all-cause mortality and cost-consequence differential, respectively.

Results: The diagnosis of HF was via hospital pathway in 68% (23 273) of patients. The PSM cohort included 17 174 patients (8582 per group) and was matched across all selected confounders (p>0.05). The ratio of deaths per person-months at 24 months comparing community versus hospital diagnosis was 0.780 (95% CI 0.722 to 0.841, p<0.0001). By 72 months, the ratio of deaths was 0.960 (0.905 to 1.020, p=0.18). Diagnosis via hospital pathway incurred an overall extra longitudinal cost of £2485 per patient.

Conclusions: Index diagnosis of HF through hospital admission continues to dominate and is associated with a significantly greater short-term risk of mortality and substantially increased long-term costs than if first diagnosed in the community. This study highlights the potential for community diagnosis-early, before symptoms necessitate hospitalisation-to improve both clinical and health economic outcomes.

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Association Between Socioeconomic Disadvantage and Risks of Early and Recurrent Admissions Among Patients With Newly Diagnosed Heart Failure.

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References
1.
Bottle A, Kim D, Aylin P, Cowie M, Majeed A, Hayhoe B . Routes to diagnosis of heart failure: observational study using linked data in England. Heart. 2017; 104(7):600-605. DOI: 10.1136/heartjnl-2017-312183. View

2.
Kim D, Hayhoe B, Aylin P, Cowie M, Bottle A . Health service use by patients with heart failure living in a community setting: a cross-sectional analysis in North West London. Br J Gen Pract. 2020; 70(697):e563-e572. PMC: 7299549. DOI: 10.3399/bjgp20X711749. View

3.
Benchimol E, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I . The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015; 12(10):e1001885. PMC: 4595218. DOI: 10.1371/journal.pmed.1001885. View

4.
Kahn M, Grayson A, Chaggar P, Ng Kam Chuen M, Scott A, Hughes C . Primary care heart failure service identifies a missed cohort of heart failure patients with reduced ejection fraction. Eur Heart J. 2021; 43(5):405-412. PMC: 8825238. DOI: 10.1093/eurheartj/ehab629. View

5.
Koudstaal S, Pujades-Rodriguez M, Denaxas S, Gho J, Shah A, Yu N . Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people. Eur J Heart Fail. 2016; 19(9):1119-1127. PMC: 5420446. DOI: 10.1002/ejhf.709. View