Effect of Primary Care‐Based Memory Clinics on Referrals to and Wait‐Time for Specialized Geriatric Services
Why this work is in the frame
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Bibliographic record
Abstract
To the Editor: Primary care collaborative memory clinics (PCCMC), were developed in Ontario, Canada, starting in 2006 to address challenges and build capacity for dementia care at a primary care level. These family physician–led interprofessional clinics provide comprehensive assessment and management within a shared care approach and with support from local geriatrics specialists.1 The PCCMC model features elements of person-centered care, considered the criterion standard for the care of older adults.2 There are more than 100 PCCMCs across the province, and this is expected to increase over time. There is much anecdotal evidence from previous evaluations of this care model that the early identification and intervention that the PCCMCs offer contribute to more efficient use of existing specialist resources.1, 3-5 PCCMCs have consistently demonstrated referral rates to specialists of approximately 10%,1, 4, 5 compared with typical referral rates of up to 82% from family physicians for persons with memory concerns,6 which is of concern given the critical shortage of geriatricians in Canada.7 Nevertheless, there has been limited empirical evidence demonstrating effect on system efficiency in the use of specialists, primarily because of difficulties accessing valid system-level data. The purpose of this current study was to examine the effect of the PCCMCs on referrals to and wait-time for specialist consultation. In the Wellington-Dufferin-Guelph region of southern Ontario (population base of 265,240),8 PCCMCs were established in 2 large, rural primary care settings, (Clinics A and B, located in Family Health Teams), serving 41 medical practices with a combined patient base of 65,000. In this region, geriatrician consultation is accessed through the Canadian Mental Health Association—Waterloo Wellington (CMHA-WW) Specialized Geriatric Services (SGS). The CMHA-WW generated data from their information system on the number of referrals to SGS for memory concerns from the practice settings of both these clinics in the years before and after launch and median wait-time (days), defined as the difference between the date of referral and date of first assessment, for all referrals to SGS and from each clinic practice setting, regardless of reason. These data were provided for each year from 2008 to 2014; data were not provided beyond these years because, in 2015, a number of new initiatives (e.g., nurse-led assessment programs) were implemented that also affected referral rates for specialist consultation. Referrals to SGS for memory concerns from Clinic A's practice setting were lower each year after the implementation of the PCCMC (2009, n = 94; 2010, n = 67; 2011, n = 78; 2012, n = 73; 2013, n = 56; 2014, n = 33) than in the year prior (2008, n = 100), representing a 67% reduction in referrals to SGS in 2014 from 2008. Referrals to SGS from Clinic B's practice setting were higher in the year of implementation of the PCCMC (2013, n = 189) but lower the year after (2014, n = 145) than in the year before launch (2012, n = 183)—a 21% reduction in referrals to SGS from 2012 to 2014. After the launch of the clinics, median wait-time for SGS consultation decreased for referrals from both clinics’ practice setting (32% reduction for Clinic A, 47% for Clinic B in wait-times in the year after launch from the year before), as well as for all referrals to SGS (63% reduction in 2014 from 2008; Figure 1). These results provide some preliminary evidence suggesting that memory clinics help reduce reliance on referrals to specialists for memory concerns and shorten overall wait-times for specialist consultation. These are the first data demonstrating direct system effect on efficiency of use of limited geriatrician resources, particularly in rural communities where access to geriatricians is limited. By managing the majority of memory concerns in primary care, consistent with chronic disease management models,9 specialist resources are reserved for more complex cases and those who most urgently need it. There are several limitations to the interpretation of these data. A direct, causal relationship between the PCCMCs and SGS referrals cannot be presumed; there may be other factors contributing to the reduction in referrals to SGS that are unknown. These data are from a relatively small region of the province and may not reflect referral and wait-time patterns across the province. Despite these limitations, these data provide some evidence of the effect of the memory clinics on health system use. Further research is needed to study the effects of PCCMCs on the system of care for older adults. Conflict of Interest: No funding was received for this study. Author Contribution: LL, JMW, SG: study concept and design. KF, CSS: data collection. LL, LMH: letter writing. All authors: data interpretation, letter review and approval. Sponsor's Role: Not applicable.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it