2014
DOI: 10.7812/tpp/14-005
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Improving Care for Older Adults: A Model to Segment the Senior Population

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Cited by 28 publications
(20 citation statements)
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“…26,27 Similarly, an internally developed algorithm automatically segments the population of older adults into 4 care groups with similar needs, trajectories, and utilization patterns. 28 A BPA prompting the discharging physician to implement the transition bundle is triggered for patients identified as being at high risk by the LACE index or belonging to the highest need care group. A recent readmission, any diagnosis of CHF, and identification of highrisk status by care coordinators, who are accountable for identifying high-risk patients, also trigger the BPA.…”
Section: Discussionmentioning
confidence: 99%
“…26,27 Similarly, an internally developed algorithm automatically segments the population of older adults into 4 care groups with similar needs, trajectories, and utilization patterns. 28 A BPA prompting the discharging physician to implement the transition bundle is triggered for patients identified as being at high risk by the LACE index or belonging to the highest need care group. A recent readmission, any diagnosis of CHF, and identification of highrisk status by care coordinators, who are accountable for identifying high-risk patients, also trigger the BPA.…”
Section: Discussionmentioning
confidence: 99%
“…In the context of increasing complexity of patient diagnoses (e.g., multi-morbidity), patient populations could be grouped, not by specific diseases but by health status, functional ability and/or healthcare needs (Lynn et al 2007). This has been proposed as an approach to support planning and organizing health service delivery (Lynn et al 2007) and specifically, primary care service delivery (BC Ministry of Health 2014; Dow et al 2013; Hewner et al 2014; Porter et al 2013; Zhou et al 2014) but with little discussion about the potential implications for performance measurement.…”
Section: Resultsmentioning
confidence: 99%
“…We considered principles used in examples of population segmentation with a focus on the work of Lynn et al (2007), Porter et al (2013) and others (BC Ministry of Health 2014; Dow et al 2013; Hewner et al 2014; Zhou et al 2014) to provide some guidance on optimal features of population segments. We have established the following criteria:…”
Section: Resultsmentioning
confidence: 99%
“…Clinical programs that are expanding to proactive outreach may additionally identify eligible patients from an existing health system risk stratification model that uses EMR data to flag frail patients with an expected prognosis of one to two years. 24 Patients and caregivers are considered enrolled in the trial once they provide consent, complete the baseline surveys, and the patient is admitted to HBPC. Figure 2 summarizes the overall participant flow and Figures 3 and 4 are the CONSORT diagrams for patients and caregivers, respectively.…”
Section: S-24mentioning
confidence: 99%