Relational Coordination as a Predictor of Job Satisfaction and Intent to Stay Among Nurses and Physicians in the Military Health System.

INTRODUCTION: Job satisfaction and retention of military and civilian nurses and physicians who work in military treatment facilities (MTFs) are critical to maintaining quality of care and operational readiness. Civilian nurses and physicians working in MTFs supplement staffing for active duty military nurses and physicians and support operational readiness when military nurses and physicians deploy in wartime crises or humanitarian efforts. Decreased retention of military and civilian nurses and physicians can negatively impact operational readiness and patient care outcomes. Although several factors (e.g., burnout, pay, and leadership) influence job satisfaction and retention among nurses and physicians in both military and civilian healthcare settings, high-quality communication and relationships between nurses and physicians are associated with better job satisfaction and retention. However, little is known about how high-quality communication and relationships affect job satisfaction and retention among nurses and physicians in MTFs. Relational coordination (RC) is a process of high-quality communication supported by relationships of shared knowledge, shared goals, and mutual respect among members of the healthcare team. By strengthening RC, hospital leaders can more effectively achieve desired outcomes. The purpose of this study was to explore how RC influences job satisfaction and intent to stay among nurses, residents, and physicians in an Army hospital, and whether job satisfaction mediated the relationship between RC and intent to stay. MATERIALS AND METHODS: We conducted an exploratory, cross-sectional study in a 138-bed MTF in the southeastern USA and invited a convenience sample of military and civilian nurses, residents, and physicians to complete a 47-item survey on RC, job satisfaction, and intent to stay. We used Pearson's correlation to explore relationships between RC, job satisfaction, and intent to stay and then employed multiple regression to explore whether RC predicts job satisfaction and intent to stay, after controlling for professional role, demographic characteristics, and other covariates. Furthermore, we explored whether job satisfaction mediates the relationship between RC and intent to stay. RESULTS: Two hundred and eighty-nine participants completed the survey. Seventy percentage of respondents were civilian, were Caucasian (61%), and had a mean age of 40 years old. The RCs within roles (ß = 0.76, P < .001) and between roles (ß = 0.46, P < .001) were both positively associated with job satisfaction. RCs within roles was associated with higher intent to stay (ß = 0.38, P = .005). Civilian nurses and physicians reported higher intent to stay, followed by officers and enlisted service members. Job satisfaction mediated the relationship between RC within roles and intent to stay. CONCLUSION: Our findings suggest that RC is a powerful workplace dynamic that influences job satisfaction and intent to stay, for nurses, residents, and physicians in MTFs. Specifically, we found that RC was positively associated with job satisfaction and intent to stay and that job satisfaction mediates the relationship between RC and intent to stay. We recommend that hospital leaders in MTFs explore interventions to strengthen RC among health professionals by including relational, work process and structural interventions as part of their strategy for retaining military healthcare professionals.

Improved individual and population-level HbA1c estimation using CGM data and patient characteristics.

Machine learning and linear regression models using CGM and participant data reduced HbA1c estimation error by up to 26% compared to the GMI formula, and exhibit superior performance in estimating the median of HbA1c at the cohort level, potentially of value for remote clinical trials interrupted by COVID-19.

Assessment of a Precision Medicine Analysis of a Behavioral Counseling Strategy to Improve Adherence to Diabetes Self-management Among Youth: A Post Hoc Analysis of the FLEX Trial.

Importance: The Flexible Lifestyles Empowering Change (FLEX) trial, an 18-month randomized clinical trial testing an adaptive behavioral intervention in adolescents with type 1 diabetes, showed no overall treatment effect for its primary outcome, change in hemoglobin A1c (HbA1c) percentage of total hemoglobin, but demonstrated benefit for quality of life (QoL) as a prespecified secondary outcome. Objective: To apply a novel statistical method for post hoc analysis that derives an individualized treatment rule (ITR) to identify FLEX participants who may benefit from intervention based on changes in HbA1c percentage (primary outcome), QoL, and body mass index z score (BMIz) (secondary outcomes) during 18 months. Design, Setting, and Participants: This multisite clinical trial enrolled 258 adolescents aged 13 to 16 years with type 1 diabetes for 1 or more years, who had literacy in English, HbA1c percentage of total hemoglobin from 8.0% to 13.0%, a participating caregiver, and no other serious medical conditions. From January 5, 2014, to April 4, 2016, 258 adolescents were recruited. The post hoc analysis excluded adolescents missing outcome measures at 18 months (2 participants [0.8%]) or continuous glucose monitoring data at baseline (40 participants [15.5%]). Data were analyzed from April to December 2018. Interventions: The FLEX intervention included a behavioral counseling strategy that integrated motivational interviewing and problem-solving skills training to increase adherence to diabetes self-management. The control condition entailed usual diabetes care. Main Outcomes and Measures: Subgroups of FLEX participants were derived from an ITR estimating which participants would benefit from intervention, which would benefit from control conditions, and which would be indifferent. Multiple imputation by chained equations and reinforcement learning trees were used to estimate the ITR. Subgroups based on ITR pertaining to changes during 18 months in 3 univariate outcomes (ie, HbA1c percentage, QoL, and BMIz) and a composite outcome were compared by baseline demographic, clinical, and psychosocial characteristics. Results: Data from 216 adolescents in the FLEX trial were reanalyzed (166 [76.9%] non-Hispanic white; 108 teenaged girls [50.0%]; mean [SD] age, 14.9 [1.1] years; mean [SD] diabetes duration, 6.3 [3.7] years). For the univariate outcomes, a large proportion of FLEX participants had equivalent predicted outcomes under intervention vs usual care settings, regardless of randomization, and were assigned to the muted group (HbA1c: 105 participants [48.6%]; QoL: 63 participants [29.2%]; BMIz: 136 participants [63.0%]). Regarding the BMIz univariate outcome, mean baseline BMIz of participants assigned to the muted group was lower than that of those assigned to the intervention and control groups (muted vs intervention: mean difference, 0.48; 95% CI, 0.21 to 0.75; P = .002; muted vs control: mean difference, 0.86; 95% CI, 0.61 to 1.11; P < .001); this group also had a higher proportion of individuals with underweight or normal weight using weight status cutoffs (95 [69.9%] in muted group vs 24 [54.6%] in intervention group and 11 [30.6%] in control group; χ24 = 24.67; P < .001). The approach identified subgroups estimated to benefit based on HbA1c percentage (54 participants [25.0%]), QoL (89 participants [41.2%]), and BMIz (44 participants [20.4%]). Regarding the HbA1c percentage outcome, participants expected to benefit from the intervention did not have significantly higher baseline HbA1c percentages than those expected to benefit from usual care (9.4% vs 9.2%; difference, 0.2%; 95% CI, -0.16% to 0.56%; P = .44). However, participants in the muted group had higher mean HbA1c percentages at baseline than those assigned to the intervention or control groups (muted vs intervention: 9.9% vs 9.4%; difference, 0.5%; 95% CI, 0.13% to 0.89%; P = .02; muted vs control; 9.9% vs 9.2%; difference, 0.7%; 95% CI, 0.34% to 1.08%; P = .001). No significant differences were found between subgroups estimated to benefit in terms of the composite outcome from the FLEX intervention (91 participants [42.1%]) vs usual care (125 participants [57.9%]). Conclusions and Relevance: The precision medicine approach represents a conceptually and analytically novel approach to post hoc subgroup identification. More work is needed to understand markers of positive response to the FLEX intervention. Trial Registration: ClinicalTrial.gov identifier: NCT01286350.

Association of Race and Ethnicity With Glycemic Control and Hemoglobin A1c Levels in Youth With Type 1 Diabetes.

IMPORTANCE: Health disparities in the clinical presentation and outcomes among youth with type 1 diabetes exist. Long-term glycemic control patterns in racially/ethnically diverse youth are not well described. OBJECTIVES: To model common trajectories of hemoglobin A1c (HbA1c) among youth with type 1 diabetes and test how trajectory group membership varies by race/ethnicity. DESIGN SETTING AND PARTICIPANTS: Longitudinal cohort study conducted in 5 US locations. The analysis included data from 1313 youths (aged <20 years) newly diagnosed in 2002 through 2005 with type 1 diabetes in the SEARCH for Diabetes in Youth study (mean [SD] age at diabetes onset, 8.9 [4.2] years) who had 3 or more HbA1c study measures during 6.1 to 13.3 years of follow-up. Data were analyzed in 2017. EXPOSURES: Self-reported race/ethnicity. MAIN OUTCOMES AND MEASURES: Hemoglobin A1c trajectories identified through group-based trajectory modeling over a mean (SD) of 9.0 (1.4) years of diabetes duration. Multinomial models studied the association of race/ethnicity with HbA1c trajectory group membership, adjusting for demographic characteristics, clinical factors, and socioeconomic position. RESULTS: The final study sample of 1313 patients was 49.3% female (647 patients) with mean (SD) age 9.7 (4.3) years and mean (SD) disease duration of 9.2 (6.3) months at baseline. The racial/ethnic composition was 77.0% non-Hispanic white (1011 patients), 10.7% Hispanic (140 patients), 9.8% non-Hispanic black (128 patients), and 2.6% other race/ethnicity (34 patients). Three HbA1c trajectories were identified: group 1, low baseline and mild increases (50.7% [666 patients]); group 2, moderate baseline and moderate increases (41.7% [548 patients]); and group 3, moderate baseline and major increases (7.5% [99 patients]). Group 3 was composed of 47.5% nonwhite youths (47 patients). Non-Hispanic black youth had 7.98 higher unadjusted odds (95% CI, 4.42-14.38) than non-Hispanic white youth of being in the highest HbA1c trajectory group relative to the lowest HbA1c trajectory group; the association remained significant after full adjustment (adjusted odds ratio of non-Hispanic black race in group 3 vs group 1, 4.54; 95% CI, 2.08-9.89). Hispanic youth had 3.29 higher unadjusted odds (95% CI, 1.78-6.08) than non-Hispanic white youth of being in the highest HbA1c trajectory group relative to the lowest HbA1c trajectory group; the association remained significant after adjustment (adjusted odds ratio of Hispanic ethnicity in group 3 vs group 1, 2.24; 95% CI, 1.02-4.92). In stratified analyses, the adjusted odds of nonwhite membership in the highest HbA1c trajectory remained significant among male patients and youth diagnosed at age 9 years or younger, but not female patients and youth who were older than 9 years when they were diagnosed (P for interaction = .04 [sex] and .02 [age at diagnosis]). CONCLUSIONS AND RELEVANCE: There are racial/ethnic differences in long-term glycemic control among youth with type 1 diabetes, particularly among nonwhite male patients and nonwhite youth diagnosed earlier in life.

Racial/Ethnic Disparities in Diabetes Diagnosis and Glycemic Control Among Women of Reproductive Age.

BACKGROUND: Types 1 and 2 diabetes mellitus complicate pregnancies and threaten the health of women of reproductive age and their children. Among older adults, diabetes morbidity disproportionately burdens racial/ethnic minorities, but diabetes emergence among younger adults has not been as well characterized. The objective of this study was to describe the distribution of diagnosed diabetes, undiagnosed diabetes, suboptimal preconception glycemic control, and prediabetes among women of reproductive age across racial/ethnic backgrounds. MATERIALS AND METHODS: We analyzed data collected in 2007-2008 from 6774 nonpregnant women, ages 24-32, in the National Longitudinal Study of Adolescent to Adult Health (Add Health). Prediabetes and undiagnosed diabetes were identified by fasting glucose and glycosylated hemoglobin (A1C) and diagnosed diabetes by self-report or antihyperglycemic medication use. We used multinomial regression models to predict prediabetes or diabetes versus normoglycemia. Within women with diabetes, we used logistic regression to predict those being undiagnosed and having suboptimal preconception glycemic control based on A1C. RESULTS: The estimated prevalence of diabetes was 6.8%, of which 45.3% was undiagnosed. Diabetes prevalence varied by race/ethnicity (p < 0.001): 15.0% of non-Hispanic black women (75.6% undiagnosed), 7.5% of Hispanic women (48.1% undiagnosed), 4.8% of non-Hispanic white women (22.8% undiagnosed), and 4.5% of Asian women (11.4% undiagnosed). The prevalence of prediabetes was highest in non-Hispanic black (38.5%), followed by Hispanic (27.8%), Asian (25.1%), Native American (20.3%), and non-Hispanic white (16.6%) women. CONCLUSIONS: Racial/ethnic disparities exist among women of reproductive age with prediabetes and diabetes. Meeting their healthcare needs requires addressing health inequities and coordination of diabetes management with reproductive health.