Background

Multimorbidity is common, and care is impacted by patient life context. Effective, efficient interventions to improve patient-centered outcomes such as perceived treatment burden are limited. There is a need for interventions that integrate patient contextual information into primary care encounters to improve such outcomes. Patient life context is a multitude of factors that influence a patient's life and healthcare, including social determinants of health and broader elements such as family and work demands.

Methods

This pilot randomized controlled trial (RCT) protocol will compare standard pre-visit planning to context-informed pre-visit planning that incorporates the patient's life context, for patients with diabetes plus other chronic comorbid conditions. Primary outcomes include measures of trial protocol and intervention feasibility and acceptability: physician study and visit perceived burden, patient satisfaction, and patient, physician and staff experience with the trial. Additional measurements of intervention impact include: initial estimates of effect size on patient treatment burden and other patient-oriented outcomes, change in glycemic control, and other intermediate medical outcomes.

Discussion

This intervention is novel as it collects patient life context information using a direct person-to-person approach, allows physicians to review the information prior to patient arrival at the clinic and, where appropriate, incorporate it when negotiating treatment plans, and is longitudinal, summarizing evolving contextual information over time. This pilot RCT has the potential to demonstrate trial protocol and intervention feasibility and acceptability, and estimate effect size on patient and provider outcomes, to inform for a future, definitive RCT.Trial Registration: This trial was registered at ClinicalTrials.gov prior to patient enrollment: NCT04568382.

Context: Health plan disenrollment has been associated with higher mortality in patients with opioid use disorder. Insurance loss and health plan disenrollment might be downstream social consequences of opioid misuse and overdose that may heighten patient mortality risks during a period of heightened need for professional assistance. Objective: To test hypotheses that: 1) overdose events in patients prescribed long-term opioids are associated with subsequent health plan disenrollment; and 2) buprenorphine initiation after overdose would attenuate this association. Study Design: Retrospective cohort study. Setting and Dataset: Data from the Optum Labs Data Warehouse which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on patients, representing a mixture of ages, ethnicities, and geographical regions across the United States. Population studied: Adults (aged ≥18 years) prescribed stable, opioid therapy for a 6-month baseline period (≥90% of days covered, <10% monthly fluctuation from 6-month average, average daily dose ≥10 morphine milligram equivalents). Outcome Measures: Health plan disenrollment during up to one year of follow-up. Negative binomial regression estimated adjusted incidence rate ratios of disenrollment by incident overdose and buprenorphine initiation after overdose. Results: We identified 556,676 patients who were followed up after 1,119,100 stable periods of opioid therapy. During follow-up, 17.5% of person-periods ended in health plan disenrollment. Overdose events during follow-up were associated with health plan disenrollment with a dose-response relationship [adjusted incidence rate ratio (aIRR) for 1 overdose event = 1.29 (95% CI: 1.24-1.35); aIRR for ≥2 overdose events = 1.51 (1.43-1.59)]. Among patients with overdose events, subsequent buprenorphine initiation was associated with substantially reduced risk of health plan disenrollment [aIRR 0.36 (0.17-0.74)]. Conclusions: Overdose events in patients prescribed long-term opioids may portend other social consequences, such as health insurance loss, which may exacerbate patient risk at a time of heightened need and vulnerability. Buprenorphine may mitigate the risk of health plan disenrollment in opioid-prescribed patients who overdose.

Aims

Most patients with diabetes have comorbid chronic conditions that could support (concordant) or compete with (discordant) diabetes care. We sought to determine the impact of the number of concordant and discordant chronic conditions on diabetes care quality.

Methods

Logistic regression analysis of electronic health record data from 7 health systems on 24,430 patients with diabetes aged 18-75 years. Diabetes testing and control quality care goals were the outcome variables. The number of diabetes-concordant and the number of diabetes-discordant conditions were the main explanatory variables. Analysis was adjusted for health care utilization, health system and patient demographics.

Results

A higher number of concordant conditions were associated with higher odds of achieving testing and control goals for all outcomes except blood pressure control. There was no to minimal positive association between the number of discordant conditions and outcomes, except for cholesterol testing which was less likely with 4+ discordant conditions.

Conclusions

Having more concordant conditions makes diabetes care goal achievement more likely. The number of discordant conditions has a smaller, inconsistently significant impact on diabetes goal achievement. Interventions to improve diabetes care need to align with a patient's comorbidities, including the absence of comorbidities, especially concordant comorbidities.

Objective

To find clinically relevant combinations of chronic conditions among patients with diabetes and to examine their relationships with six diabetes quality metrics.

Data sources/study setting

Twenty-nine thousand five hundred and sixty-two adult patients with diabetes seen at eight Midwestern U.S. health systems during 2010-2011.

Study design

We retrospectively evaluated the relationship between six diabetes quality metrics and patients' combinations of chronic conditions. We analyzed 12 conditions that were concordant with diabetes care to define five mutually exclusive combinations of conditions ("classes") based on condition co-occurrence. We used logistic regression to quantify the relationship between condition classes and quality metrics, adjusted for patient demographics and utilization.

Data collection

We extracted electronic health record data using a standardized algorithm.

Principal findings

We found the following condition classes: severe cardiac, cardiac, noncardiac vascular, risk factors, and no concordant comorbidities. Adjusted odds ratios and 95 percent confidence intervals for glycemic control were, respectively, 1.95 (1.7-2.2), 1.6 (1.4-1.9), 1.3 (1.2-1.5), and 1.3 (1.2-1.4) compared to the class with no comorbidities. Results showed similar patterns for other metrics.

Conclusions

Patients had distinct quality metric achievement by condition class, and those in less severe classes were less likely to achieve diabetes metrics.

Background

In a prior study, we found patient satisfaction was associated with mortality. However, that study included few deaths, yielding wide confidence intervals, was criticized for possible morbidity under-adjustment, and lacked power to explore sociodemographic moderation.

Objective

To revisit the satisfaction-mortality association in a larger national sample, allowing more precise risk estimates, sequential morbidity adjustment, and exploration of sociodemographic moderation.

Design

Prospective cohort study.

Participants

2000-2015 Adult Medical Expenditures Panel Surveys (MEPS) respondents (N = 92,952), each enrolled for 2 consecutive years.

Main measures

We used five Consumer Assessment of Health Plans Survey (CAHPS) items to assess patients' year 1 satisfaction with their clinicians. Death during the 2 years of MEPS participation was determined by proxy report. We modeled the satisfaction-mortality association in sequential regressions: model 1 included sociodemographics, model 2 added health status (approximating recommended CAHPS adjustment), and model 3 added smoking status, disease burden, and healthcare utilization.

Key results

Satisfaction was not associated with mortality in model 1. In model 2, higher satisfaction was associated with higher mortality (hazard ratios [95% CIs] for 2nd, 3rd, and 4th (top) quartiles vs. 1st quartile: 1.28 (1.01, 1.62), P = 0.04; 1.43 (1.12, 1.82), P = 0.004; and 1.57 (1.25, 1.98), P < 0.001, respectively). The associations were not attenuated in model 3. There was a significant interaction between gender and satisfaction (F[3, 443] = 3.62, P = 0.01). The association between satisfaction and mortality was significant in women only, such that their mortality advantage over men was eliminated in the highest satisfaction quartile.

Conclusions

The association of higher patient satisfaction with clinicians with higher short-term mortality was evident only after CAHPS-recommended adjustment, was not attenuated by further morbidity adjustment, and was evident in women but not men. The findings suggest that characteristics among women who are more satisfied with their clinicians may be associated with increased mortality risk.

Background

Patient requests for tests, treatments, or referrals occur frequently during primary care visits and pose challenges for clinicians to address, but little is known about patient characteristics that may predict requests.

Objective

To identify patient characteristics associated with a higher rate of patient requests during primary care visits.

Design, setting, and sample

Cross-sectional analyses of data from 1141 adult patients attending 1319 visits with 56 primary care physicians (including 45 resident and 11 faculty physicians) in an academic family medicine practice.

Measurements

Postvisit patient surveys including measures of patient requests for tests, prescriptions, and referrals; sociodemographics; mental and physical health status; symptom bother or worry (3-item scale; range, 3 to 15; Cronbach's α = 0.83); global life satisfaction; medical skepticism; and Five Factor Model personality traits.

Results

Patients made 1 or more requests in 867 visits (65.7%). In multivariate analyses of the within-visit request count, the following patient variables were statistically significantly associated with a higher rate of requests: age in years (incidence rate ratio [IRR], 1.01 [95% CI, 1.00 to 1.01]), increased symptom bother or worry (IRR, 1.06 [95% CI, 1.03 to 1.08]), a more extroverted personality (IRR, 1.12 [95% CI, 1.03 to 1.08]), greater life satisfaction (IRR, 1.01 [95% CI, 1.00 to 1.02]), and any prior encounter with the visit physician (IRR, 1.17 [95% CI, 1.04 to 1.32]).

Conclusions

Primary care physicians should expect a greater frequency of requests from older patients, patients with greater symptoms bother or worry, more extroverted patients, patients with greater global life satisfaction, and patients with whom they have had prior visits.

Objective

Multimorbidity affects 26 million persons with diabetes, and care for comorbid chronic conditions may impact diabetes care quality. The aim of this study was to determine which chronic conditions were related to lack of achievement or achievement of diabetes care quality goals to determine potential targets for future interventions.

Research design and methods

This is an exploratory retrospective analysis of electronic health record data for 23 430 adults, aged 18-75, with diabetes who were seen at seven Midwestern US health systems. The main outcome measures were achievement of six diabetes quality metrics in the reporting year, 2011 (glycated haemoglobin (HbA1c) control and testing, low-density lipoprotein control and testing, blood pressure control, kidney testing). Explanatory variables were 62 chronic condition indicators. Analyses were adjusted for baseline patient sociodemographic and healthcare utilization factors.

Results

The 62 chronic conditions varied in their relationships to diabetes care goal achievement for specific care goals. Congestive heart failure was related to lack of achievement of cholesterol management goals. Obesity was related to lack of HbA1c and BP control. Mental health conditions were related to both lack of achievement and achievement of different care goals. Three conditions were related to lack of cholesterol testing, including congestive heart failure and substance-use disorders. Of 17 conditions related to achieving control goals, 16 were related to achieving HbA1c control. One-half of the comorbid conditions did not predict diabetes care quality.

Conclusions

Future interventions could target patients at risk for not achieving diabetes care for specific care goals based on their individual comorbidities.

Background

Early hypertension control reduces the risk of cardiovascular complications among patients with diabetes mellitus. There is a need to improve hypertension management among patients with diabetes mellitus.

Objective

We aimed to evaluate rates and associations of hypertension diagnosis and treatment among patients with diabetes mellitus and incident hypertension.

Design

This was a 4-year retrospective analysis of electronic health records.

Participants

Adults ≥ 18 years old (n = 771) with diabetes mellitus, who met criteria for incident hypertension and received primary care at a large, Midwestern academic group practice from 2008 to 2011 were included

Main measures

Cut-points of 130/80 and 140/90 mmHg were used to identify incident cases of hypertension. Kaplan-Meier analysis estimated the probability of receiving: 1) an initial hypertension diagnosis and 2) antihypertensive medication at specific time points. Cox proportional-hazard frailty models (HR; 95 % CI) were fit to identify associations of time to hypertension diagnosis and treatment.

Key results

Among patients with diabetes mellitus who met clinical criteria for hypertension, 41 % received a diagnosis and 37 % received medication using the 130/80 mmHg cut-point. At the 140/90 mmHg cut-point, 52 % received a diagnosis and 49 % received medication. Atrial fibrillation (HR 2.18; 1.21-4.67) was associated with faster diagnosis rates; peripheral vascular disease (HR 0.18; 0.04-0.74) and fewer primary care visits (HR 0.93; 0.88-0.98) were associated with slower diagnosis rates. Atrial fibrillation (HR 3.07; 1.39-6.74) and ischemic heart disease/congestive heart failure (HR 2.16; 1.24-3.76) were associated with faster treatment rates; peripheral vascular disease (HR 0.16; 0.04-0.64) and fewer visits (HR 0.93; 0.88-0.98) predicted slower medication initiation. Diagnosis and treatment of incident hypertension were similar using cut-points of 130/80 and 140/90 mmHg.

Conclusions

Among patients with diabetes mellitus, even using a cut-point of 140/90 mmHg, approximately 50 % remained undiagnosed and untreated for hypertension. Future interventions should target patients with multiple comorbidities to improve hypertension and diabetes clinical care.

Objective

To explore how physician training in self-efficacy enhancing interviewing techniques (SEE IT) affects patient psychological health behavior change mediators (HBCMs).

Methods

We analyzed data from 131 patients visiting primary care physicians ≥4 months after the physicians participated in a randomized controlled trial. Experimental arm physicians (N=27) received SEE IT training during three ≤20min standardized patient instructor (SPI) visits. Control physicians (N=23) viewed a diabetes medications video during one SPI visit. Physicians were blinded to patient participation. Outcomes were self-care self-efficacy, readiness, and health locus of control (Internal, Chance, Powerful Others), examined as a summary HBCM score (average of standardized means) and individually. Analyses adjusted for pre-visit values of the dependent variables.

Results

Patients visiting SEE IT-trained physicians had higher summary HBCM scores (+0.42, 95% CI 0.07-0.77; p=0.021). They also had greater self-care readiness (AOR 3.04, 95% CI 1.02-9.03, p=0.046) and less Chance health locus of control (-0.27 points, 95% CI -0.50-0.04, p=0.023), with no significant differences in other HBCMs versus controls.

Conclusion

Improvement in psychological HBCMs occurred among patients visiting SEE IT-trained physicians, PRACTICE IMPLICATIONS: If further research shows the observed HBCM effects improve health behaviors and outcomes, SEE IT training might be offered widely to physicians.

Background

The vast majority of patients with diabetes have multiple chronic conditions, increasing complexity of care; however, clinical practice guidelines, interventions, and public reporting metrics do not adequately address the interaction of these multiple conditions. To advance the understanding of diabetes clinical care in the context of multiple chronic conditions, we must understand how care overlaps, or doesn't, between diabetes and its co-occurring conditions. This study aimed to determine which chronic conditions are concordant (share care goals with diabetes) and discordant (do not share care goals) with diabetes care, according to primary care provider expert opinion.

Methods

Using the Delphi technique, we administered an iterative, two-round survey to 16 practicing primary care providers in an academic practice in the Midwestern USA. The expert panel determined which specific diabetes care goals were also care goals for other chronic conditions (concordant) and which were not (discordant). Our diabetes care goals were those commonly used in quality reporting, and the conditions were 62 ambulatory-relevant condition categories.

Results

Sixteen experts participated and all completed both rounds. Consensus was reached on the first round for 94% of the items. After the second round, 12 conditions were concordant with diabetes care and 50 were discordant. Of the concordant conditions, 6 overlapped in care for 4 of 5 diabetes care goals and 6 overlapped for 3 of 5 diabetes care goals. Thirty-one discordant conditions did not overlap with any of the diabetes care goals, and 19 overlapped with only 1 or 2 goals.

Conclusions

This study significantly adds to the number of conditions for which we have information on concordance and discordance for diabetes care. The results can be used for future studies to assess the impact of concordant and discordant conditions on diabetes care, and may prove useful in developing multimorbidity guidelines and interventions.