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Abstract Background This study, part of a multi-study program, aimed to identify a core set of cost-based quality and performance indicators using a modified Delphi research approach. Conceptually, this core set of cost-based indicators is intended for use within a broader health system performance framework for evaluating home care programming in Canada. Methods This study used findings from a recently published scoping review identifying 34 cost-focused home care program PQIs. A purposive and snowball technique was employed to recruit a national panel of system-level operational and content experts in home care. We collected data through progressive surveys and engagement sessions. In the first round of surveying, the panel scored each indicator on Importance, Actionable, and Interpretable criteria. The panel set the second round of ranking the remaining indicators’ consensus criteria. The panel ranked by importance their top five indicators from operational and system perspectives. Indicators selected by over 50% of the panel were accepted as consensus. Results We identified 13 panellists. 12 completed the first round which identified that 30 met the predetermined inclusion criteria. Eight completed the ranking exercise, with one of the eight completing one of two components. The second round resulted in three PQIs meeting the consensus criteria: one operational and two systems-policy-focused. The PQIs: “Average cost per day per home care client,” “Home care service cost (mean) per home care client 1y, 3y and 7y per health authority and provincially and nationally”, and “Home care funding as a percent of overall health care expenditures.” Conclusions The findings from this study offer a crucial foundation for assessing operational and health system outcomes. Notably, this research pioneers identifying key cost-based PQIs through a national expert panel and modified Delphi methodology. This study contributes to the literature on PQIs for home care and provides a basis for future research and practice. These selected PQIs should be applied to future research to test their applicability and validity within home care programming and outcomes. Researchers should apply these selected PQIs in future studies to evaluate their applicability and validity within home care programming and outcomes.

Through a multi-phased mixed-method research program including an international scoping review and a modified-Delphi panel with expert policy/academic/operational representatives from across Canada, three health-system, financially focused quality and performance home care indicators were identified. This presentation will provide preliminary results of the application of the three financial indicators on overall health-system measures, system utilization and population outcomes within the province of Alberta. The time-period covered is the last five years data leading up to the start of the deceleration of the covid-19 global pandemic. Based on provincial annual financial reporting, baseline 2016/17 fiscal year home care expenditures were $585K, this rose to significantly to $716M for fiscal year 2019/20, with the most significant increase (13%) occurred between the 2017/18 and 2018/19 years. Prior to 2016/17 home care expenditures increased at a rate less than 3%. These significant home care investments increased the percent of the overall expenditures in Alberta from 3.94 to 4.6%. Furthermore, the average annual expenditures per home care client rose from $5,417 to $6,112. During this same time-period, numerous health-system indicators shifted to more favorable positions, with notable decreases in acute care days prior to death, number of those waiting in hospital for LTC, and preventing/delaying the need for LTC overall. Based on comparisons of home care investments on the overall health-system and key health-system performance indicators focused on measuring system efficiencies, preliminary examinations suggest that significant home care focused investments in Alberta significantly improved health-system performance, efficiencies, and overall outcomes for the population.

Objectives Compassion is a key indicator of quality care that is reportedly eroding from patients’ care experience. While the need to assess compassion is recognised, valid and reliable measures are lacking. This study developed and validated a clinically informed, psychometrically rigorous, patient-reported compassion measure.Design Data were collected from participants living with life-limiting illnesses over two study phases across four care settings (acute care, hospice, long term care (LTC) and homecare). In phase 1, data were analysed through exploratory factor analysis (EFA), with the final items analysed via confirmatory factor analysis (CFA) in phase 2. The Schwartz Center Compassionate Care Scale (SCCCS), the revised Edmonton Symptom Assessment Scale (ESAS-r) and Picker Patient Experience Questionnaire (PPEQ) were also administered in phase 2 to assess convergent and divergent validity.Setting and participants 633 participants were recruited over two study phases. In the EFA phase, a 54-item version of the measure was administered to 303 participants, with 330 participants being administered the final 15-item measure in the CFA phase.Results Both EFA and CFA confirmed compassion as a single factor construct with factor loadings for the 15-item measure ranging from 0.76 to 0.86, with excellent test–retest reliability (intraclass correlation coefficient range: 0.74–0.89) and excellent internal reliability (Cronbach’s alpha of 0.96). The measure was positively correlated with the SCCCS (r=0.75, p