We performed a longitudinal analysis of the UK Biobank community cohort (502,538 participants, baseline age: 37-73 years, median years of follow-up: 6.2). The ACB was calculated at baseline using 10 scales. Baseline data were linked to national mortality register records and hospital episode statistics. The primary outcome was a composite of all-cause mortality and major adverse cardiovascular event (MACE). Secondary outcomes were all-cause mortality, MACE, hospital admission for fall/fracture, and hospital admission with dementia/delirium. Cox proportional hazards models (hazard ratio [HR], 95% CI) quantified associations between ACB scales and outcomes adjusted for age, sex, socioeconomic status, body mass index, smoking status, alcohol use, physical activity, and morbidity count.

Anticholinergic medication use varied from 8% to 17.6% depending on the scale used. For the primary outcome, ACB was significantly associated with all-cause mortality/MACE for each scale. The Anticholinergic Drug Scale was most strongly associated with mortality/MACE (HR = 1.12; 95% CI, 1.11-1.14 per 1-point increase in score). The ACB was significantly associated with all secondary outcomes. The Anticholinergic Effect on Cognition scale was most strongly associated with dementia/delirium (HR = 1.45; 95% CI, 1.3-1.61 per 1-point increase).

The ACB was associated with adverse outcomes in a middle- to older-aged population. Populations identified and effect size differed between scales. Scale choice influenced the population identified as potentially requiring reduction in ACB in clinical practice or intervention trials.

We performed a prospective, multicenter, randomized controlled trial. The inclusion criteria were age ≥21 years, baseline glycated hemoglobin (HbA_1c) level ≤9.5%, and intention to fast for ≥10 days during Ramadan. Exclusion criteria included baseline estimated glomerular filtration rate <30 mL/min, diabetes-related hospitalization, and short-term corticosteroid therapy. Participants were randomized to intervention (use of FAST) or control (usual care without FAST) groups. Efficacy outcomes were HbA_1c level and fasting blood glucose and postprandial glucose changes, and the safety outcome was incidence of major or minor hypoglycemia during the Ramadan period. Glycemic variability and diabetes distress were also investigated. Linear mixed models were constructed to assess changes.

A total of 97 participants were randomized (intervention: n = 46, control: n = 51). The HbA_1c improvement during Ramadan was 4 times greater in the intervention group (–0.4%) than in the control group (–0.1%) (P = .049). The mean fasting blood glucose level decreased in the intervention group (–3.6 mg/dL) and increased in the control group (+20.9 mg/dL) (P = .034). The mean postprandial glucose level showed greater improvement in the intervention group (–16.4 mg/dL) compared to the control group (–2.3 mg/dL). There were more minor hypoglycemic events based on self-monitered blood glucose readings in the control group (intervention: 4, control: 6; P = .744). Glycemic variability was not significantly different between the 2 groups (P = .284). No between-group differences in diabetes distress were observed (P = .479).

Our findings emphasize the importance of efficacious, safe, and culturally tailored epistemic tools for diabetes management.

The CACAO study (Comparison of Accidents and their Circumstances with Oral Anticoagulants) is a multicenter prospective cohort study conducted among ambulatory patients taking an oral anticoagulant. Participants were patients from the study’s cross-sectional phase receiving oral anticoagulants because of nonvalvular atrial fibrillation, for secondary prevention of venous thromboembolism, or both. They were followed as usual for 1 year by their general practitioners, who collected data on changes in therapy, thromboembolic events, bleeding, and deaths. All events were adjudicated by an independent committee. We used a propensity score and a Cox regression model to derive hazard ratios.

Between April and December 2014, a total of 3,082 patients were included. At 1 year, 42 patients (1.7%) had experienced an arterial or venous event; 151 (6.1%) had experienced bleeding, including 47 (1.9%) who experienced major bleeding; and 105 (4.1%) had died. There was no significant difference between the VKA and DOAC groups regarding arterial or venous events, or major bleeding. The VKA group had a lower risk of overall bleeding (hazard ratio = 0.65; 95% CI, 0.43-0.98) but twice the risk of death (hazard ratio = 1.98; 95% CI, 1.15-3.42).

VKAs and DOACs had fairly similar safety and effectiveness in general practice. The substantially higher incidence of deaths with VKAs is consistent with known data from health insurance databases and calls for further research to understand its cause.

Analysis of data on 102,604 Doctor of Medicine and Doctor of Osteopathy physicians in direct patient care in the United States in 2016, who identify themselves as GPs or FPs. The study used linking databases (American Medical Association Masterfile, American Board of Family Medicine [ABFM], Area Health Resource File, Medicare Public Use File) to examine personal, professional, and practice characteristics.

Of the physicians identified, 6,661 self-designated as GPs and 95,943 self-designated as FPs. Of the self-designated GPs, 116 had been ABFM certified and were excluded from the study. Of the remaining 102,488 physicians, those who self-designated as GPs but were never ABFM certified constituted the GP group (n = 6,545, 6%). Self-designated FPs that were ABFM certified made up the FP group (n = 79,449, 78%). The remaining self-designated FPs not ABFM certified constituted the uncertified group (n = 16,494, 16%). GPs differed from FPs in every characteristic examined. Compared with FPs, GPs are more likely to be older, male, Doctors of Osteopathy, graduates of non-US medical schools, and have no family medicine residency training. GPs practice location is similar to FPs, but GPs are less likely to participate in Medicare or to work in hospitals.

GPs in the United States are a varied group that differ from FPs. Researchers, educators, and policy makers should not lump GPs together with FPs in data collection, analysis, and reporting.

In this prospective cohort study, we quantified opioid use for 4 weeks following hospital discharge after cesarean delivery. Predischarge characteristics were obtained from health records, and patients self-reported total opioid use postdischarge on weekly questionnaires. Opioid use was quantified in milligram morphine equivalents (MMEs). Binomial and Poisson regression analyses were performed to assess predictors of opioid use after discharge.

Of the 233 patients starting the study, 203 (87.1%) completed at least 1 questionnaire and were included in analyses (86.3% completed all 4 questionnaires). A total of 113 patients were high users (>75 MMEs) and 90 patients were low users (≤75 MMEs) of opioids postdischarge. The group reporting low opioid use received on average 44% fewer opioids in the 24 hours before discharge compared with the group reporting high opioid use (mean = 33.0 vs 59.3 MMEs, P <.001). Only a minority of patients (11.4% to 15.8%) stored leftover opioids in a locked location, and just 31 patients disposed of leftover opioids.

Knowledge of predischarge opioid use can be useful as a tool to inform individualized opioid prescriptions, help optimize nonopioid analgesia, and reduce opioid use. Additional studies are needed to evaluate the impact of implementing such measures on prescribing practices, pain, and functional outcomes.

We undertook a prospective before-and-after study in 15 primary care clinics and 2 outpatient cancer centers in Canada. Patients were aged 50 years or older (primary care) or 18 years or older (cancer care) and free of cognitive impairment. They used the PREPARE website over 6 weeks, with reminders sent at 2 or 4 weeks. We used the 55-item Advance Care Planning Engagement Survey, which measures behavior change processes (knowledge, contemplation, self-efficacy, readiness) on 5-point scales and actions relating to substitute decision makers, quality of life, flexibility for the decision maker, and asking doctors questions on an overall scale from 0 to 21; higher scores indicate greater engagement.

In total, 315 patients were screened and 172 enrolled, of whom 75% completed the study (mean age = 65.6 years, 51% female, 35% had cancer). The mean behavior change process score was 2.9 (SD 0.8) at baseline and 3.5 (SD 0.8) at follow-up (mean change = 0.6; 95% CI, 0.49-0.73); the mean action measure score was 4.0 (SD 4.9) at baseline and 5.2 (SD 5.4) at follow-up (mean change = 1.2; 95% CI, 0.54-1.77). The effect size was moderate (0.75) for the former and small (0.23) for the latter. Findings were similar in both primary care and cancer care populations.

Implementation of the online PREPARE program in primary care and cancer care clinics increased advance care planning engagement among patients.

In a primary care prospective cohort study, 417 older adults with dizziness (mean age 79 years) received a full diagnostic workup in 2006-2008. A panel of physicians classified the subtype and primary cause of dizziness. Main outcome measures were mortality and dizziness-related impairment assessed at 10-year follow-up.

At 10-year follow-up 169 patients (40.5%) had died. Presyncope was the most common dizziness subtype (69.1%), followed by vertigo (41.0%), disequilibrium (39.8%), and other dizziness (1.7%). The most common primary causes of dizziness were cardiovascular disease (56.8%) and peripheral vestibular disease (14.4%). Multivariable adjusted Cox models showed a lower mortality rate for patients with the subtype vertigo compared with other subtypes (hazard ratio [HR] = 0.62; 95% CI, 0.40-0.96), and for peripheral vestibular disease vs cardiovascular disease as primary cause of dizziness (HR = 0.46; 95% CI, 0.25-0.84). After 10 years, 47.7% of patients who filled out the follow-up measurement experienced substantial dizziness-related impairment. No significant difference in substantial impairment was seen between different subtypes and primary causes of dizziness.

The 10-year mortality rate was lower for the dizziness subtype vertigo compared with other subtypes. Patients with dizziness primarily caused by peripheral vestibular disease had a lower mortality rate than patients with cardiovascular disease. Substantial dizziness-related impairment in older patients with dizziness 10 years later is high, and indicates that current treatment strategies by family physicians may be suboptimal.

A single-center, open-labeled, randomized, controlled trial was conducted. Patients on prevalent peritoneal dialysis with volume overload were recruited from July 1, 2013 to March 30, 2014 and followed for 1 year in the initial protocol. All participants with volume overload were 1:1 randomized to the BIA-guided arm (BIA and traditional clinical methods) and control arm (only traditional clinical methods). The primary end point was all-cause mortality and secondary end points were cardiovascular disease mortality and technique survival.

A total of 240 patients (mean age, 49 years; men, 51%; diabetic, 21%, 120 per group) were enrolled. After 1-year follow-up, 11(5%) patients died (three in BIA versus eight in control) and 21 patients were permanently transferred to hemodialysis (eight in BIA versus 13 in control). The rate of extracellular water/total body water decline in the BIA group was significantly higher than that in the control group. The 1-year patient survival rates were 96% and 92% in BIA and control groups, respectively. No significant statistical differences were found between patients randomized to the BIA-guided or control arm in terms of patient survival, cardiovascular disease mortality, and technique survival (P>0.05).

Although BIA-guided fluid management improved the fluid overload status better than the traditional clinical method, no significant effect was found on 1-year patient survival and technique survival in patients on peritoneal dialysis.

We purposively sampled adult patients with glomerular disease and their caregivers from Australia, Hong Kong, the United Kingdom, and the United States. Participants identified, discussed, and ranked outcomes in focus groups using the nominal group technique; a relative importance score (between zero and one) was calculated. Qualitative data were analyzed thematically.

Across 16 focus groups, 134 participants (range, 19–85 years old; 51% women), including 101 patients and 33 caregivers, identified 58 outcomes. The ten highest-ranked outcomes were kidney function (importance score of 0.42), mortality (0.29), need for dialysis or transplant (0.22), life participation (0.18), fatigue (0.17), anxiety (0.13), family impact (0.12), infection and immunity (0.12), ability to work (0.11), and BP (0.11). Three themes explained the reasons for these rankings: constraining day-to-day experience, impaired agency and control over health, and threats to future health and family.

Patients with glomerular disease and their caregivers highly prioritize kidney health and survival, but they also prioritize life participation, fatigue, anxiety, and family impact.

Community-dwelling, nondisabled adults (n=330) ≥65 years of age underwent quantitative gait analysis, including walking while talking. Differences in walking-while-talking performance by CKD status were evaluated, and relative changes between walking-while-talking and walking alone performance were computed to quantify cognitive-motor interference (dual-task cost). Associations were tested using multivariable linear spline regression models, and independent gait domains were derived using factor analysis. CKD was defined as an eGFR<60 ml/min per 1.73 m².

CKD was present in 134 (41%) participants. Participants with CKD had slower gait speed along with various gait cycle abnormalities during walking while talking: among those with CKD, every 10-ml/min per 1.73 m² lower eGFR was associated with 3.3-cm/s (95% confidence interval, 0.4 to 6.1) slower gait speed, 1.8-cm (95% confidence interval, 0.6 to 3.0) shorter step length, 1.1% (95% confidence interval, 0.6 to 1.7) less time in the swing phase, and 1.4% (95% confidence interval, 0.5 to 2.3) greater time in double support after multivariable adjustment. When comparing walking while talking with walking alone, every 10-ml/min per 1.73 m² lower eGFR was associated with 1.8% (95% confidence interval, 0.5 to 3.2) greater decrease in time in the swing phase and 0.9% (95% confidence interval, 0.2 to 1.5) greater increase in time in the stance phase. Factor analysis identified three walking-while-talking domains and three dual-task cost domains: eGFR was associated specifically with the rhythm domain for both walking-while-talking and dual-task cost. Every 10-ml/min per 1.73 m² lower eGFR was associated with a poorer performance of 0.2 SD (95% confidence interval, 0.1 to 0.3) for walking while talking and 0.2 SD (95% confidence interval, 0.03 to 0.3) for dual-task cost.

During walking while talking, CKD is associated with gait abnormalities, possibly due to increased cognitive-motor interference.

The trials randomized a combined total of 2815 subjects with early- to late-stage ADPKD to tolvaptan (n=1644) or placebo (n=1171) for 3 years (TEMPO 3:4) and 1 year (REPRISE). Statin use was unrestricted, and 597 subjects (21.2% overall; 332 [20.2%] tolvaptan, 265 [22.6%] placebo) received statins. Statin use (duration, dose change, statin change, permanent discontinuation), incidences of statin-related adverse events, and hepatic transaminase elevations were determined for subjects who received tolvaptan+statin, placebo+statin, tolvaptan alone, and placebo alone.

No differences in statin use parameters between tolvaptan- and placebo-treated subjects were observed. No statistically significant increases in commonly reported statin-related adverse events (e.g., musculoskeletal disorders, gastrointestinal symptoms) were seen between subjects receiving tolvaptan+statin and placebo+statin. For example, in TEMPO 3:4, frequencies were 5.4% and 7.8%, respectively, for myalgia (difference –2.4%; 95% confidence interval, –11.2% to 6.4%) and 9.3% and 7.8%, respectively, for abdominal pain (difference 1.5%; –7.9% to 10.9%). In an analysis that excluded participants concurrently using allopurinol, the frequency of alanine transaminase or aspartate transaminase >3x upper limit of normal in the pooled study populations was 3.6% for the tolvaptan+statin group and 2.3% for the placebo+statin group (difference 1.4%; –2.0% to 4.7%).

Tolvaptan has been used safely in combination with statins in clinical trials.

This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2020_04_06_CJN.08170719.mp3

We measured serum uromodulin in 5143 participants enrolled in the German CKD (GCKD) study. The associations of baseline serum uromodulin with all-cause mortality, major adverse cardiovascular events (MACE; a composite of cardiovascular mortality, nonfatal myocardial infarction or stroke, or incident peripheral vascular disease), and kidney failure (dialysis or transplantation) were evaluated using multivariable Cox proportional hazard regression analyses in a cohort study design, adjusting for demographics, eGFR, albuminuria, cardiovascular risk factors, and medication.

The mean age of participants was 60±12 years, 60% were male. Mean serum uromodulin concentration was 98±60 ng/ml, eGFR was 49±18 ml/min per 1.73 m², and 78% had eGFR <60 ml/min per 1.73 m². Participants in lower serum uromodulin quartiles had lower eGFR and higher albuminuria, prevalence of diabetes, hypertension, coronary artery disease, and more frequent history of stroke at baseline. During a follow-up of 4 years, 335 participants died, 417 developed MACE, and 229 developed kidney failure. In multivariable analysis, the highest serum uromodulin quartile was associated with lower hazard for mortality (hazard ratio [HR], 0.57; 95% CI, 0.38 to 0.87), MACE (HR, 0.63; 95% CI, 0.45 to 0.90), and kidney failure (HR, 0.24; 95% CI, 0.10 to 0.55) compared with the lowest quartile.

Higher serum uromodulin is independently associated with lower risk for mortality, cardiovascular events, and kidney failure in white patients with CKD.

Deutsches Register für Klinische Studien (DRKS; German national database of clinical studies), DRKS00003971.

This is a single-center cohort study. All adult patients who were hospitalized from years 2011 through 2013 who had available admission serum sodium and at least three serum sodium measurements during hospitalization were included. The trend of serum sodium during hospitalization was analyzed using group-based trajectory modeling; the five main trajectories were grouped as follows: (1) stable normonatremia, (2) uncorrected hyponatremia, (3) borderline high serum sodium, (4) corrected hyponatremia, and (5) fluctuating serum sodium. The outcome of interest was in-hospital mortality and 1-year mortality. Stable normonatremia was used as the reference group for outcome comparison.

A total of 43,539 patients were analyzed. Of these, 47% had stable normonatremia, 15% had uncorrected hyponatremia, 31% had borderline high serum sodium, 3% had corrected hyponatremia, and 5% had fluctuating serum sodium trajectory. In adjusted analysis, there was a higher in-hospital mortality among those with uncorrected hyponatremia (odds ratio [OR], 1.33; 95% CI, 1.06 to 1.67), borderline high serum sodium (OR, 1.66; 95% CI, 1.38 to 2.00), corrected hyponatremia (OR, 1.50; 95% CI, 1.02 to 2.20), and fluctuating serum sodium (OR, 4.61; 95% CI, 3.61 to 5.88), compared with those with the normonatremia trajectory. One-year mortality was higher among those with uncorrected hyponatremia (hazard ratio [HR], 1.28; 95% CI, 1.19 to 1.38), borderline high serum sodium (HR, 1.18; 95% CI, 1.11 to 1.26), corrected hyponatremia (HR, 1.24; 95% CI, 1.08 to 1.42), and fluctuating serum sodium (HR, 2.10; 95% CI, 1.89 to 2.33) compared with those with the normonatremia trajectory.

More than half of patients who had been hospitalized had an abnormal serum sodium trajectory during hospitalization. This study demonstrated that not only the absolute serum sodium levels but also their in-hospital trajectories were significantly associated with in-hospital and 1-year mortality. The highest in-hospital and 1-year mortality risk was associated with the fluctuating serum sodium trajectory.

This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2020_03_25_CJN.12281019.mp3

We conducted a cross-sectional analysis of adult (age ≥ 16 yr) Ontarians who responded to the Ontario Health Care Experience Survey between January 2013 and September 2015, reported having a primary care provider and agreed to have their responses linked to health administrative data. Access measures included the proportion of respondents who reported same-day or next-day access when sick, satisfaction with time to appointment when sick, telephone access and knowledge of an after-hours clinic. We tested the association between practice model and measures of access using logistic regression after stratifying for rurality.

A total of 33 665 respondents met our inclusion criteria. In big cities, respondents in team and nonteam capitation models were less likely to report same-day or next-day access when sick than respondents in enhanced fee-for-service models (team capitation 43%, adjusted odds ratio [OR] 0.88, 95% confidence interval [CI] 0.79–0.98; nonteam capitation 39%, adjusted OR 0.78, 95% CI 0.70–0.87; enhanced fee-for-service 46% [reference]). Respondents in team and nonteam capitation models were more likely than those in enhanced fee-for-service models to report that their provider had an after-hours clinic (team capitation 59%, adjusted OR 2.59, 95% CI 2.39–2.81; nonteam capitation 51%, adjusted OR 1.90, 95% CI 1.76–2.04; enhanced fee-for service 34% [reference]). Patterns were similar for respondents in small towns. There was minimal to no difference by model for satisfaction with time to appointment or telephone access.

In our setting, there was an association between some types of access to primary care and physician payment model and team-based care, but the direction was not consistent. Different measures of timely access are needed to understand health care system performance.

We conducted a retrospective cohort analysis using linked administrative health data to examine community-based primary care physicians and patients with eligible chronic conditions in BC during 2010–2013. Descriptive analyses of patients and physicians compared 3 groups: no incentives in any of the 4 years, incentives in all 4 years, and incentives in any of the study years. We used hierarchical logistic regression models to identify the patient- and physician-level characteristics associated with billing incentives.

Of 428 770 eligible patients, 142 475 (33.2%) had an incentive billed on their behalf in all 4 years, and 152 686 (35.6%) never did. Of 3936 physicians, 2625 (66.7%) billed at least 1 incentive in each of the 4 years, and 740 (18.8%) billed no incentives during the study period. The strongest predictors of having an incentive billed were the number of physician contacts a patient had (odds ratio [OR] for > 48 contacts 134.77, 95% confidence interval [CI] 112.27–161.78) and whether a physician had a large number of patients in his or her practice for whom incentives were billed (OR 42.38 [95% CI 34.55–52.00] for quartile 4 v. quartile 1).

The findings suggest that primary care physicians bill incentives for patients based on whom they see most often rather than using a population health management approach to their practice.

Using linked health administrative databases, we identified all people in Ontario with diabetes as of Apr. 1, 2014. We identified First Nations people using the Indian Register. We looked at outcomes from Apr. 1, 2014, to Mar. 31, 2015. We determined the proportion of people with a regular family physician and their continuity of care with that physician. We also examined visits with specialists for diabetes care, hospital admissions for ambulatory-care–sensitive conditions, and emergency department visits for hypo- or hyperglycemia.

There were 1 380 529 people diagnosed with diabetes in Ontario as of Apr. 1, 2014, of whom 22 952 (1.7%) were First Nations people. First Nations people were less likely to have a regular family physician (85.3% v. 97.7%) and had lower continuity of care with that physician (mean score for continuity of care 74.6 v. 77.7) than other people in Ontario. They were also less likely to see specialists. First Nations people were more likely to be admitted to hospital for ambulatory-care–sensitive conditions (2.4% v. 1.2%) and to have an emergency department visit for hypo- or hyperglycemia (1.5% v. 0.8%). Disparities were particularly marked for those living in First Nations communities.

First Nations people with diabetes in Ontario had poorer access to and use of primary care than other people with diabetes in the province. These findings may help explain continued disparities in the rates of complications related to diabetes.

In collaboration with the Chiefs of Ontario, we carried out a population-based study to identify cohorts of First Nations people and other people with diabetes in Ontario from 1995/96 to 2014/15. We used linked health administrative databases to evaluate rates of eye examination (2005/06–2014/15) and severe diabetic retinopathy treatment and compared them between the 2 populations, and between First Nations people living in and outside of First Nations communities.

We identified 23 013 First Nations people and 1 364 222 other people diagnosed with diabetes from 1995/96 to 2014/15, of whom 49.8% (95% confidence interval [CI] 48.9%–50.7%) and 53.8% (95% CI 53.7%–54.0%), respectively, received an eye examination in 2014/15. Eye examination rates were similar for First Nations people regardless of whether they lived in or outside a First Nations community. First Nations people developed severe diabetic retinopathy at a faster rate than other people (hazard ratio 1.19, 95% CI 1.02–1.38). The gap between First Nations people and other people in the proportion requiring therapy for severe diabetic retinopathy was especially prominent among younger people. There were no significant differences in rates of diabetic retinopathy treatment in First Nations people stratified by place of residence.

Eye examination rates remain suboptimal among people with diabetes in Ontario and were lower among First Nations people. This is particularly concerning in light of our other findings showing an increased risk of requiring treatment for advanced diabetic retinopathy and the accelerated rate of diabetic retinopathy progression among First Nations people with diabetes.

We conducted a 5-hour deliberative dialogue workshop in April 2019 in Montréal as the final phase of a mixed-methods study investigating comprehensive care for women living with HIV. The study drew on data from the Canadian HIV Women’s Sexual and Reproductive Health Cohort Study (CHIWOS). Recruitment was guided by a purposive maximum-variation sampling strategy to ensure an appropriate mix of participants and was facilitated by our existing CHIWOS networks. Participants included patients (women living with HIV) and HIV care providers (doctors, nurses, pharmacists). The workshop was facilitated professionally and included a synthesis of the evidence, small- and large-group deliberations, and voting on care improvements.

Eight patients and 8 HIV care providers participated. Drawing on identified care priorities, the participants identified 4 relatively rapid care improvements and 3 longer-term improvements. The rapid care improvements included delegating medical acts to members of multidisciplinary care teams; greater involvement of HIV community members within care settings and health care decision-making; creating a women’s health information booklet; and increasing HIV education among all health care providers and raising awareness of women’s care needs beyond HIV-specific care among HIV care providers. The longer-term care improvements included advocating for complete financial coverage of antiretroviral therapy within the government-sponsored Medicare program, facilitating access to allied care providers (e.g., physiotherapists and psychologists) and launching a population-wide campaign to increase awareness about the Undetectable = Untransmittable (U=U) initiative and other HIV advances.

The deliberative dialogue workshop yielded evidence-based, stakeholder-driven recommendations to improve the comprehensive care of women living with HIV in Quebec.

This was a descriptive qualitative, interview-based study. Physicians who had previously participated in the Telemedicine Interprofessional Model of Practice for Aging and Complex Treatments (Telemedicine IMPACT Plus [TIP] Program) were invited to participate and asked to describe their experience of being a member of the program. Interviews were conducted from March to May 2016. We conducted an iterative and interpretive process using both individual and team analysis to identify themes.

There were 15 participants, 9 specialists and 6 family physicians. Three themes emerged in the analysis: creating new perspectives on care for patients with multimorbidity by sharing knowledge, skills and attitudes; the shift from a consultant model to an interprofessional team model (allowing a window into the community, extending discussions beyond the medical model and focusing on the patient’s health in context); and opportunities for learners, including learning about interprofessional collaboration and gaining exposure to a real-world model for caring for people with multimorbidity in outpatient settings.

Family physicians and specialists participating in a TIP Program believed the program improved their knowledge and skills, while also serving as an effective care delivery strategy. The findings also support that learners require more exposure to nontraditional consultant models in order to care for patients with multimorbidity effectively.