What do primary care providers want to know when caring for patients living with frailty? An analysis of eConsult communications between primary care providers and specialists.

BACKGROUND: Frailty is a complex condition that primary care providers (PCPs) are managing in increasing numbers, yet there is no clear guidance or training for frailty care. OBJECTIVES: The present study examined eConsult questions PCPs asked specialists about patients with frailty, the specialists' responses, and the impact of eConsult on the care of these patients. DESIGN: Cross-sectional observational study. SETTING: ChamplainBASE™ eConsult located in Eastern Ontario, Canada. PARTICIPANTS: Sixty one eConsult cases closed by PCPs in 2019 that use the terms "frail" or "frailty" to describe patients 65 years of age or older. MEASUREMENTS: The Taxonomy of Generic Clinical Questions (TGCQ) was used to classify PCP questions and the International Classification for Primary Care 3 (ICPC-3) was used to classify the clinical content of each eConsult. The impact of eConsult on patient care was measured by PCP responses to a mandatory survey. RESULTS: PCPs most frequently directed their questions to cardiology (n = 7; 11%), gastroenterology (n = 7; 11%), and endocrinology (n = 6; 10%). Specialist answers most often pertained to medications (n = 63, 46%), recommendations for clinical investigation (n = 24, 17%), and diagnoses (n = 22, 16%). Specialist responses resulted in PCPs avoiding referral in 57% (n = 35) of cases whereas referrals were still required in 15% (n = 9) of cases. Specialists responded to eConsults in a median 1.11 days (IQR = 0.3-4.7), and 95% (n = 58) of cases received a response within 7 days. Specialists recorded a median of 15 min to respond (IQR = 10-20), with a median cost of $50.00 CAD (IQR = 33.33 - 66.66) per eConsult. CONCLUSIONS: Through the analysis of questions and responses submitted to eConsult, this study provides novel information on PCP knowledge gaps and approaches to care for patients living with frailty. Furthermore, these analyses provide evidence that eConsult is a feasible and valuable tool for improving care for patients with frailty in primary care settings.

Incidence Morbidity and Mortality From Falls in Skilled Nursing Facilities: A Systematic Review and Meta-Analysis.

OBJECTIVES: The primary objective of this study was to systematically review and meta-analyze the incidence and consequential morbidity and mortality from falls in skilled nursing facilities. Our secondary objective is to synthesize current evidence on risk factors for injurious falls. DESIGN: Systematic review and meta-analysis. SETTING AND PARTICIPANTS: Older adults residing in skilled nursing facilities or similar settings. METHODS: We completed study screening, data extraction, and quality assessment in duplicate. Random effects models were used for meta-analysis of fall incidence rates and proportions of outcomes per fall. Sensitivity analysis and meta-regression were completed to assess differences based on study design, quality, and population characteristics. The Newcastle Ottawa Scale and Cochrane Risk of Bias tools were used to assess quality of observational and intervention-based studies, respectively. The GRADE tool was used to evaluate strength of evidence for fall risk factors. RESULTS: We identified 3103 unique references, of which 38 were included in systematic review and 37 in meta-analysis. Pooled incidence of falls was 121 per 100 person-years (95% CI 86-170). Outcomes of transfer to hospital, admission to hospital, overall injury, head injury, fracture, 30-day mortality, death in hospital, and disability were reported by included studies. Sensitivity analysis indicated no significant difference in fall rates between study designs. Meta-regression indicated no significant relationship between fall rate and age or sex; however, a weak positive correlation was identified with increasing prevalence of dementia. No fall risk factors were supported by high-quality evidence. CONCLUSION/IMPLICATIONS: Our study confirms that falls in skilled nursing facilities are common and cause significant morbidity, mortality and health system use. As populations in high-income countries age, falls will become increasingly prevalent. Future research should be directed at preventing injurious falls and determining when hospital care will benefit a faller.

Using electronic consultation (eConsult) to identify frailty in provider-to-provider communication: a feasibility and validation study.

BACKGROUND: Frailty is a complex age-related clinical condition that increases vulnerability to stressors. Early recognition of frailty is challenging. While primary care providers (PCPs) serve as the first point of contact for most older adults, convenient tools for identifying frailty in primary care are lacking. Electronic consultation (eConsult), a platform connecting PCPs to specialists, is a rich source of provider-to-provider communication data. Text-based patient descriptions on eConsult may provide opportunities for earlier identification of frailty. We sought to explore the feasibility and validity of identifying frailty status using eConsult data. METHODS: eConsult cases closed in 2019 and submitted on behalf of long-term care (LTC) residents or community-dwelling older adults were sampled. A list of frailty-related terms was compiled through a review of the literature and consultation with experts. To identify frailty, eConsult text was parsed to measure the frequency of frailty-related terms. Feasibility of this approach was assessed by examining the availability of frailty-related terms in eConsult communication logs, and by asking clinicians to indicate whether they can assess likelihood of frailty by reviewing the cases. Construct validity was assessed by comparing the number of frailty-related terms in cases about LTC residents with those about community-dwelling older adults. Criterion validity was assessed by comparing clinicians' ratings of frailty to the frequency of frailty-related terms. RESULTS: One hundred thirteen LTC and 112 community cases were included. Frailty-related terms identified per case averaged 4.55 ± 3.95 in LTC and 1.96 ± 2.68 in the community (p < .001). Clinicians consistently rated cases with ≥ 5 frailty-related terms as highly likely of living with frailty. CONCLUSIONS: The availability of frailty-related terms establishes the feasibility of using provider-to-provider communication on eConsult to identify patients with high likelihood of living with this condition. The higher average of frailty-related terms in LTC (versus community) cases, and agreement between clinician-provided frailty ratings and the frequency of frailty-related terms, support the validity of an eConsult-based approach to identifying frailty. There is potential for eConsult to be used as a case-finding tool in primary care for early recognition and proactive initiation of care processes for older patients living with frailty.

What is the level of information technology maturity in Ontario's long-term care homes? A cross-sectional survey study protocol.

INTRODUCTION: The number of Canadians 75 years and older is expected to double over the next 20 years, putting continuing care systems such as long-term care (LTC) homes under increasing pressure. Health information technology (IT) has been found to improve the quality, safety and efficiency of care in numerous clinical settings and could help optimise LTC for residents. However, the level of health IT adoption in Ontario's LTC homes is unknown and, as a result, requires an accurate assessment to provide a baseline understanding for future planning. METHODS AND ANALYSIS: We will use a cross-sectional design to investigate the level of IT maturity in Ontario's LTC homes. IT maturity will be assessed with the LTC IT Maturity Instrument, a validated survey examining IT capabilities, the extent of IT use and degree of internal/external IT integration across the domains of resident care, clinical support and administrative activities. All LTC homes in Ontario will be invited to participate. The Director of Care for each home will be directly contacted for recruitment. The survey will be distributed online (or by paper, if preferred) to LTC homes and completed by a staff member designated by the LTC to be knowledgeable about its IT systems. Analyses will consist of descriptive statistics characterising IT maturity across LTC homes and inferential statistics to examine the association between key facility-level characteristics (size, ownership, rurality) and IT maturity. ETHICS AND DISSEMINATION: This study was reviewed by the Ottawa Health Science Network Research Ethics Board and was exempt from full ethics review. Findings will be disseminated through peer-reviewed publication and presentations to the scientific community and stakeholders. Dissemination of our findings will not only inform provincial planning for harnessing the potential of technology in LTC but may also enable quality improvement initiatives in individual LTC homes.

Development of the electronic consultation long-term care utilization and savings estimator tool to model the potential impact of electronic consultation for residents living in long-term care.

Ageing populations have resulted in more patients living in long-term care or nursing homes, where they face challenges to accessing prompt specialist care exacerbated in many cases by physical or cognitive decline. Electronic consultation has demonstrated an ability to improve access to specialist care for vulnerable groups and offers a potential solution to this gap in care. To support electronic consultation's uptake among long-term care homes, we created the electronic consultation long-term care utilization and savings estimator, an Excel-based tool that estimates the number of off-site appointments that patients in a long-term care home could avoid through electronic consultation, along with the consequent time and cost savings. In this brief report, we discuss the electronic consultation long-term care utilization and savings estimator's creation and function, and provide a case study using long-term care data to demonstrate its potential impact. We anticipate the electronic consultation long-term care utilization and savings estimator will be a highly impactful tool and intend to test it in real-world conditions following the relaxation of COVID-19 restrictions.

Clinical Questions Asked by Long-Term Care Providers Through eConsult: A Retrospective Study.

INTRODUCTION: eConsult allows primary care providers (PCPs) to access timely specialist advice and informs patient care. To understand the use of eConsult in long-term care (LTC) settings, we examined the clinical content and types of questions asked by LTC PCPs. METHODS: A descriptive, retrospective study of eConsults submitted through the Champlain BASE™ eConsult Service between January 1, 2017, and December 31, 2018, by LTC PCPs was conducted. Cases were classified using validated taxonomies. Descriptive statistics were generated for content and question type classifications, service utilization data, and close-out survey responses. RESULTS: 22 LTC PCPs submitted 113 eConsults. They sought advice about drug treatment (58%), diagnosis (44%), and management (38%) in a breadth of clinical areas, often skin-related (39%). Long-term care PCPs frequently asked more than one question type (42%). They received advice within 1 week (91%) and rated eConsult as very helpful and educational. Three case examples are presented. CONCLUSION: This study demonstrates the type of advice LTC PCPs are seeking through eConsult and its usefulness in this setting. Long-term care stakeholders are encouraged to consider implementing eConsult in other regions, as a means to improve access to timely specialist advice, support clinical decision-making, and improve residents' quality of life.

Do Patients Retain their Family Physicians after Long-Term Care Entry? A Retrospective Cohort Study.

OBJECTIVE: Older adults value and benefit from the long-standing relationship they have with their family physicians. This dynamic has not been researched in a long-term care (LTC, ie, nursing home) setting. We sought to determine the proportion of LTC residents who retain their community family physician within the first 180 days of LTC, and the resident, physician, and LTC home factors that may influence retention. DESIGN: Population-based retrospective cohort study. SETTING AND PARTICIPANTS: Individuals from Ontario, Canada, aged 60 years or older who were newly admitted to a LTC home between April 1, 2014 and March 31, 2017. METHODS: Residents were indexed upon LTC admission, and their data was linked across ICES databases. Residents were matched to their rostered family physician, and physician retention was defined as having at least 1 visit by their matched physician within 0 to 90 days and 90 to 180 days of LTC admission. RESULTS: Out of 50,089 LTC residents, 12.1% retained their family physicians post-LTC admission. Resident factors associated with reduced odds of retention included physical impairment [odds ratio OR (95% confidence interval, CI) = 0.59 (0.42‒0.83)], cognitive impairment [0.39 (0.33‒0.47)], and a dementia diagnosis [0.80 (0.74‒0.86)]. Physician factors associated with lower retention included a greater distance from the LTC home to the family physician's clinic [30+ kilometers 0.41 (0.35‒0.48)], having a physician who is female [0.90 (0.83‒0.98)], an international medical graduate [0.89 (0.81‒0.97)] or someone who practices in a capitation-based Family Health Organization [0.86 (0.78‒0.95)]. Factors associated with greater odds of retention were residing in a rural LTC home [2.23 (1.78‒2.79)], having a rural family physician [1.70 (1.52‒1.90)], or a family physician who has billed LTC fee codes in the past year [2.64 (2.45‒2.85)]. CONCLUSIONS AND IMPLICATIONS: Few LTC residents retained their family physician post-LTC admission, underscoring this healthcare transition as a breakdown point in relational continuity. Factors that influenced retention included resident health, LTC home geography, and family physician demographics and practice patterns.

The Feasibility of Using Electronic Consultation in Long-Term Care Homes.

Patients in long-term care (LTC) homes face barriers to accessing specialist advice. Electronic consultation (eConsult) has the potential to improve access for these patients. We used a multi-method approach to evaluate adoption of the Champlain BASE eConsult service in LTC homes across Eastern Ontario, Canada. We conducted a cross-sectional study of all eConsults submitted by primary care providers (PCPs) working at LTC homes between January 1, 2018 and December 31, 2018. Service use data were collected and descriptive statistics were calculated. We completed a thematic analysis of 4 focus groups with PCPs, senior leadership, and a nurse champion working in LTC homes where eConsult is used. Sixty-four cases were submitted to 23 specialty and subspecialty groups by LTC PCPs, most frequently dermatology (19%), geriatric medicine (11%), and infectious disease (9%). Specialists responded in a median of 0.6 days, and 70% of cases were resolved without the resident needing a face-to-face specialist visit. In 60% of cases, PCPs received advice for a new or additional course of action. Participants described complexities in the LTC context, the value of eConsult in LTC, and considerations for implementation. PCPs with experience using the service described increased access to specialist advice, ease of use, and benefits to themselves, residents, and families. eConsult is feasible in LTC and should continue to be used in this region and beyond to improve equity of access to specialist advice. Resolving the identified limitations in LTC, which hinder access to specialists and adoption of eConsult and similar innovations, should be of high priority to researchers and policy makers.