Patient-physician interpersonal processes of care at the time of diabetes treatment intensification and their links to patient outcomes

ObjectiveTo investigate how patient-physician interpersonal processes of care are related to levels of diabetes-related distress, diabetes medication-taking behavior, and HbA1c during conversations with patients about intensifying medication.MethodsWe randomly recruited 1270 patients from diabetes specialty clinics in Tehran, Iran who were taking an additional oral diabetes medication or starting insulin during the prior 3 months. This interviewer-administered cross-sectional survey assessed multiple aspects of patient-physician interpersonal processes, diabetes-related distress, and diabetes medication-taking. Clinical history and HbA1c were collected from electronic medical records. Regression estimates and Structural Equation Modeling were used to test associations.ResultsSome communication scales indicated a significant relationship with total diabetes distress (P < 0.001). Diabetes medication-taking was associated with less diabetes distress (adjusted odds ratio [aOR]=0.45, P < 0.001), lower Hurried Communication (aOR=0.72, P = 0.013), higher Elicited Concerns (aOR=1.30, P = 0.012), and higher Explained Results (aOR=1.41, P < 0.001) scores. SEM analyses showed medication-taking behavior was associated with a 0.68 decrease in HbA1c. Hurried Communication and diabetes distress were directly associated with HbA1c.ConclusionAspects of patient-physician interpersonal processes at the time of intensifying diabetes treatment may be related to experiencing less distress, effective medication-taking, and improved HbA1c.Practice implicationsThe results are intended to inform communication strategies that physicians might incorporate into practice.     

Participation in structured diabetes self-management education programs and its associations with self-management behaviour – a nationwide population-based study

ObjectiveTo evaluate the relationship between participation in structured diabetes self-management education programs (DSME) and self-management behaviour (SMB) in routine care.MethodsThe study included 864 ever- and 515 never-DSME participants from the population-based survey German Health Update (GEDA) 2014/2015. SMB and clinical care variables were: Following a diet plan, keeping a diabetes diary, holding a diabetes pass, self-monitoring of blood glucose (SMBG), foot self-examination (FSE), retinopathy screening, haemoglobin A1c (HbA1c) measurement and examination of the feet by clinicians (FEC). We conducted logistic regression analyses for association of DSME-participation with SMB, adjusting for various variables.ResultsDSME-participation was significantly associated with SMB including following a diet plan (OR 1.88 [95% CI 1.21–2.92]), keeping a diabetes journal (OR 3.83 [2.74–5.36]), holding a diabetes health passport (OR 6.11 [4.40–8.48]), SMBG (OR 2.96 [2.20–3.98]) and FSE (OR 2.64 [2.01–3.47]) as well as retinopathy screening (OR 3.30 [2.31–4.70]), HbA1c measurement (OR 2.58 [1.88–3.52]), and FEC (OR 3.68 [2.76–4.89]) after adjusting for confounders.ConclusionDSME-participation is associated with higher frequencies of various SMB and clinical care variables in routine care. Never-DSME attenders are more likely not to receive retinopathy screening, FEC and HbA1c measurements as recommended.Practice implicationsClinicians should refer diabetes patients to a DSME and ensure a regular follow up for never-DSME attenders.     

How does anger coping style affect glycemic control in diabetes patients?

Background: Although various forms of anger have been found to influence the psychological and physical health in many chronic illness populations, little is known about the effects of anger in diabetes patients. Purpose: Associations between anger coping style, diabetes-related psychological distress, and glycosylated hemoglobin (HbA1c) were examined in 100 diabetes patients. Method: Participants completed the Problem Areas in Diabetes and Coping Styles questionnaires, and had HbA1c assessments at study entry (Time 1 = T1), six months (T2), and 12 months after T1 (T3). Results: Linear regression analyses revealed T1 anger coping associated with T3 HbA1c (β = .22, p < .05), but T1 HbA1c did not associate with T3 anger coping (β = .13, p = NS). After controlling for significant covariates (of gender, age, education, type and duration of diabetes), regression analyses revealed that T2 diabetes-related psychological distress partially mediated this association. Conclusion: These results suggested that higher levels of anger coping may promote poorer glycemic control in diabetes patients by provoking greater diabetes-related distress. Areas of future research on this topic are discussed. This research was supported by the National Science Foundation (National Science Foundation Graduate Research Fellowship Grant), the National Institute of Mental Health (R01 MH57663), and the Harvard Medical School Priscilla White Fellowship, National Institute of Diabetes and Digestive and Kidney Diseases (R01 NIDDK24315, R01 NIDDK60115). The authors gratefully acknowledge the reviewers’ thoughtful suggestions and comments, as well as Stephanie Horton, Scarlett Mai, Alexandra Toner, and Brent Tatsuno for their assistance.     

Improving empowerment,motivation, and medical adherence in patients with poorly controlled type 2 diabetes: A randomized controlled trial of a patient-centered intervention

ObjectiveTo test whether an intervention consisting of four patient-centered consultations improves glycemic control and self-management skills in patients with poorly regulated type 2 diabetes (T2DM), compared to a control group receiving usual care.MethodsUnblinded parallel randomized controlled trial including 97 adults diagnosed with T2DM ≥ 1 year and hemoglobin A1c (HbA1c) levels ≥ 8.0% (64 mmol/mol). Consultations incorporated tools supporting self-reflection, learning processes, and goal setting. Primary outcome was HbA1c. Secondary outcomes were autonomy support, motivation, self-management skills, and well-being.ResultsAverage HbA1c decreased slightly in both groups. Autonomy support and frequency of healthy eating were significantly higher in the intervention group. Most participants in the intervention group chose to set goals related to diet and physical exercise. Implementation of the intervention was inconsistent.ConclusionDespite increased autonomy support and individual goal-setting, the intervention was not superior to usual care in terms of glycemic control. More research is needed on how individual preferences and goals can be supported in practice to achieve sustainable behavior changes.Practice ImplicationsThe intervention promoted participant engagement and supported exploration of participants’ challenges and preferences. Further exploration of more flexible use of tools adapted to individual contexts is recommended.     

Health Coaching Reduces HbA1c in Type 2 Diabetic Patients From a Lower-Socioeconomic Status Community: A Randomized Controlled Trial

BackgroundAdoptions of health behaviors are crucial for maintaining good health after type 2 diabetes mellitus (T2DM) diagnoses. However, adherence to glucoregulating behaviors like regular exercise and balanced diet can be challenging, especially for people living in lower-socioeconomic status (SES) communities. Providing cost-effective interventions that improve self-management is important for improving quality of life and the sustainability of health care systems.ObjectiveTo evaluate a health coach intervention with and without the use of mobile phones to support health behavior change in patients with type 2 diabetes.MethodsIn this noninferiority, pragmatic randomized controlled trial (RCT), patients from two primary care health centers in Toronto, Canada, with type 2 diabetes and a glycated hemoglobin/hemoglobin A1c (HbA1c) level of ≥7.3% (56.3 mmol/mol) were randomized to receive 6 months of health coaching with or without mobile phone monitoring support. We hypothesized that both approaches would result in significant HbA1c reductions, although health coaching with mobile phone monitoring would result in significantly larger effects. Participants were evaluated at baseline, 3 months, and 6 months. The primary outcome was the change in HbA1c from baseline to 6 months (difference between and within groups). Other outcomes included weight, waist circumference, body mass index (BMI), satisfaction with life, depression and anxiety (Hospital Anxiety and Depression Scale [HADS]), positive and negative affect (Positive and Negative Affect Schedule [PANAS]), and quality of life (Short Form Health Survey-12 [SF-12]).ResultsA total of 138 patients were randomized and 7 were excluded for a substudy; of the remaining 131, 67 were allocated to the intervention group and 64 to the control group. Primary outcome data were available for 97 participants (74.0%). While both groups reduced their HbA1c levels, there were no significant between-group differences in change of HbA1c at 6 months using intention-to-treat (last observation carried forward [LOCF]) (P=.48) or per-protocol (P=.83) principles. However, the intervention group did achieve an accelerated HbA1c reduction, leading to a significant between-group difference at 3 months (P=.03). This difference was reduced at the 6-month follow-up as the control group continued to improve, achieving a reduction of 0.81% (8.9 mmol/mol) (P=.001) compared with a reduction of 0.84% (9.2 mmol/mol)(P=.001) in the intervention group. Intervention group participants also had significant decreases in weight (P=.006) and waist circumference (P=.01) while controls did not. Both groups reported improvements in mood, satisfaction with life, and quality of life.ConclusionsHealth coaching with and without access to mobile technology appeared to improve glucoregulation and mental health in a lower-SES, T2DM population. The accelerated improvement in the mobile phone group suggests the connectivity provided may more quickly improve adoption and adherence to health behaviors within a clinical diabetes management program. Overall, health coaching in primary care appears to lead to significant benefits for patients from lower-SES communities with poorly controlled type 2 diabetes.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT02036892","term_id":"NCT02036892"}}NCT02036892; http://clinicaltrials.gov/ct2/show/{"type":"clinical-trial","attrs":{"text":"NCT02036892","term_id":"NCT02036892"}}NCT02036892 (Archived by WebCite at http://www.webcitation.org/6b3cJYJOD)     

Effectiveness and acceptability of a text message intervention (DTEXT) on HbA1c and self-management for people with type 2 diabetes. A randomized controlled trial

ObjectiveDetermine the effectiveness and acceptability of a text message intervention (DTEXT) on HbA1c and self-management behaviors for Australian adults with type 2 diabetes.MethodsUsing intention to treat analysis and generalized estimating equations, this randomized controlled trial of 395 adults determined change in HbA1c at 3 and 6 months between the intervention and control group. Secondary outcomes included change in nutrition, physical activity, blood lipid profile, body mass index, quality of life, self-efficacy, medication taking and program acceptability.ResultsNo significant difference was observed between the intervention or control group for HbA1c at 3 months (P = 0.23) or 6 months (P = 0.22). Significant improvements were seen in consumption of vegetables at 3 months (P < 0.001) and 6 months (P = 0.04); fruit at 3 months (P = 0.046) and discretionary sweet foods at 3 months (P = 0.02). No other significant effects seen. The intervention demonstrated high rates of acceptability (94.0%) and minimal withdrawal (1.5%).ConclusionsDTEXT was an acceptable text message intervention that improved some nutritional behaviors in people with type 2 diabetes, but did not significantly improve HbA1c or other outcomes. Further research is required to optimize DTEXT.Practice implicationsDTEXT provides an acceptable, feasible form of self-management support that may complement existing diabetes care.     

Racial differences in patient perception of interactions with providers are associated with health outcomes in type II diabetes

ObjectivesExamine the association of patient perceptions of care with hemoglobin A1c (HbA1c), medication adherence, and missed appointments in non-Hispanic Black (NHB) and White (NHW) patients with type 2 diabetes (T2DM).MethodsWe used linear and logistic regression models to analyze the association of the Interpersonal Processes of Care survey (IPC) with HbA1c, medication adherence, and missed appointments. We then examined how these associations differed by race.ResultsThere was no overall association between IPC subdomains and HbA1c in our sample (N = 221). NHB patients perceiving their provider always explained results and medications had a HbA1c on average 0.59 (-1.13, -0.04; p = 0.04) points lower than those perceiving their provider sometimes explained results and medications. No effect was observed in NHWs. Never perceiving disrespect from office staff was associated with an average 0.67 (-1.1, -0.24; p = 0.002) point improvement in medication adherence for all patients. Never perceiving discrimination from providers was associated with a 0.44 (-0.63, -0.25; p < 0.0001) decrease in the probability of missing an appointment for NHB patients.ConclusionsThese results demonstrate that particular aspects of communication in the patient-provider interaction may contribute to racial disparities in T2DM.Practice ImplicationsCommunication training for both providers and staff may reduce disparities in T2DM.     

Social support and glycemic control in type 2 diabetes: A systematic review of observational studies

ObjectiveWe aim to systematically review observational studies examining the association between social support and glycemic control in adults with type 2 diabetes.MethodsWe searched MEDLINE, PsycINFO, EMBASE, Scopus, Web of Science and Sociological Abstracts to July 2012 for observational studies investigating the association between structural or functional aspects of social support (social networks, community ties, marital status, family support, perceived, actual, emotional or instrumental social support) and glycemic control (HbA1c).ResultsFrom electronic and reference searches, 29 studies were eligible. Twenty different assessments of social support were used. Family support and composite measures of support were most frequently associated with reduced HbA1c. There was no evidence for a beneficial effect of other support measures on HbA1c.ConclusionWe found marked variation in population, setting, measurement of social support and definition of outcome, limiting the methodological validity of research. Social support may be important in the management of type 2 diabetes, the need for consensus and standardization of measures is highlighted.Practice implicationsThe presence of informal support should be explored in routine diabetes care.     

The utilization of video-conference shared medical appointments in rural diabetes care

AimTo explore whether Video-Shared Medical Appointments (video-SMA), where group education and medication titration were provided remotely through video-conferencing technology would improve diabetes outcomes in remote rural settings.MethodsWe conducted a pilot where a team of a clinical pharmacist and a nurse practitioner from Honolulu VA hospital remotely delivered video-SMA in diabetes to Guam. Patients with diabetes and HbA1c ≥7% were enrolled into the study during 2013–2014. Six groups of 4–6 subjects attended 4 weekly sessions, followed by 2 bi-monthly booster video-SMA sessions for 5 months. Patients with HbA1c ≥7% that had primary care visits during the study period but not referred/recruited for video-SMA were selected as usual-care comparators. We compared changes from baseline in HbA1c, blood-pressure, and lipid levels using mixed-effect modeling between video-SMA and usual care groups. We also analyzed emergency department (ED) visits and hospitalizations. Focus groups were conducted to understand patient’s perceptions.ResultsThirty-one patients received video-SMA and charts of 69 subjects were abstracted as usual-care. After 5 months, there was a significant decline in HbA1c in video-SMA vs. usual-care (9.1 ± 1.9 to 8.3 ± 1.8 vs. 8.6 ± 1.4 to 8.7 ± 1.6, P = 0.03). No significant change in blood-pressure or lipid levels was found between the groups. Patients in the video-SMA group had significantly lower rates of ED visits (3.2% vs. 17.4%, P = 0.01) than usual-care but similar hospitalization rates. Focus groups suggested patient satisfaction with video-SMA and increase in self-efficacy in diabetes self-care.ConclusionVideo-SMA is feasible, well-perceived and has the potential to improve diabetes outcomes in a rural setting.     

Characteristics Predictive for a Successful Switch from Insulin Analogue Therapy to Oral Hypoglycemic Agents in Patients with Type 2 Diabetes

PurposeThe objective of this study was to investigate clinical and laboratory parameters that could predict which patients could maintain adequate glycemic control after switching from initial insulin therapy to oral hypoglycemic agents (OHAs) among patients with type 2 diabetes (T2D).ResultsOf 275 patients with insulin initiation, 63% switched to OHAs (Group I) and 37% continued insulin (Group II). Of these, 44% were in Group IA and 19% in Group IB. The lowest tertile of baseline postprandial C-peptide-to-glucose ratio (PCGR), higher insulin dose at switching to OHAs, and higher HbA1c level at 6 months after switching to OHAs were all associated with OHA failure (Group IB; p=0.001, 0.046, and 0.014, respectively). The lowest tertile of PCGR was associated with ultimate use of insulin (Group IB and Group II; p=0.029).ConclusionHigher baseline level of PCGR and lower HbA1c levels at 6 months after switching to OHAs may be strong predictors for the successful maintenance of OHAs after switching from insulin therapy in Korean patients with T2D.     

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Background

Persistently poor glycemic control in adult type 1 diabetes patients is a common, complex, and serious problem initiating significant damage to the cardiovascular, renal, neural, and visual systems. Currently, there is a plethora of low-cost and free diabetes self-management smartphone applications available in online stores.

Objective

The aim of this study was to examine the effectiveness of a freely available smartphone application combined with text-message feedback from a certified diabetes educator to improve glycemic control and other diabetes-related outcomes in adult patients with type 1 diabetes in a two-group randomized controlled trial.

Methods

Patients were recruited through an online type 1 diabetes support group and letters mailed to adults with type 1 diabetes throughout Australia. In a 6-month intervention, followed by a three-month follow-up, patients (n=72) were randomized to usual care (control group) or usual care and the use of a smartphone application (Glucose Buddy) with weekly text-message feedback from a Certified Diabetes Educator (intervention group). All outcome measures were collected at baseline and every three months over the study period. Patients’ glycosylated hemoglobin levels (HbA1c) were measured with a blood test and diabetes-related self-efficacy, self-care activities, and quality of life were measured with online questionnaires.

Results

The mean age of patients was 35.20 years (SD 10.43) (28 male, 44 female), 39% (28/72) were male, and patients had been diagnosed with type 1 diabetes for a mean of 18.94 years (SD 9.66). Of the initial 72 patients, 53 completed the study (25 intervention, 28 control group). The intervention group significantly improved glycemic control (HbA1c) from baseline (mean 9.08%, SD 1.18) to 9-month follow-up (mean 7.80%, SD 0.75), compared to the control group (baseline: mean 8.47%, SD 0.86, follow-up: mean 8.58%, SD 1.16). No significant change over time was found in either group in relation to self-efficacy, self-care activities, and quality of life.

Conclusions

In adjunct to usual care, the use of a diabetes-related smartphone application combined with weekly text-message support from a health care professional can significantly improve glycemic control in adults with type 1 diabetes.

Trial Registration

Australian New Zealand Clinical Trials Registry: ACTRN12612000132842; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12612000132842 (Archived by WebCite at http://www.webcitation.org/6Kl4jqn5u).     

Ethnic differences in outcomes of diabetes care and the role of self-management behavior

OBJECTIVE: Ethnic differences in outcomes of outpatient diabetic care and the role of self-management behavior and its determinants in explaining observed differences. METHODS: Face-to-face interviews were held with 102 Turkish or Moroccan, and 102 native Dutch diabetic patients to measure self-management behavior and determinants of self-management (as derived from the Attitudes-Social support self-Efficacy model, and Personal Models and Barriers). A medical record review was conducted to measure ethnic differences in outcomes of diabetes care. Data were analyzed using multiple linear regression. RESULTS: Outcomes differed significantly with ethnic minorities having higher levels of lipids (risk difference=RD=0.7%; CI: 0.3-1.2) and HbA1c (RD=0.9%; CI: 0.4-1.4) than native Dutch patients. Differences in self-management could not explain the ethnic differences in outcomes. Self-efficacy explained 18% of the ethnic differences in HbA1c. Beliefs about seriousness of diabetes and social support regarding diabetes management together explained 47% of the ethnic differences in lipids. CONCLUSION: This study provides evidence for ethnic differences in outcomes of diabetes care. Self-efficacy is the most important determinant in explaining the differences in HbA1c. PRACTICE IMPLICATIONS: For diabetes practice this suggests that strengthening patients' self-efficacy may improve the control of HbA1c and may result in a decrease of ethnic differences. The relationship between behavioral determinants like seriousness and social support and outcomes of diabetes care was differential by ethnic group, implying that caution is required when applying behavioral models to different ethnic groups.     

A review of randomized controlled trials of medical record powered clinical decision support system to improve quality of diabetes care

BackgroundA gap between current diabetes care practice and recommended diabetes care standards has consistently been reported in the literature. Many IT-based interventions have been developed to improve adherence to the quality of care standards for chronic illness like diabetes.ObjectiveThe widespread implementation of electronic medical/health records has catalyzed clinical decision support systems (CDSS) which may improve the quality of diabetes care. Therefore, the objective of the review is to evaluate the effectiveness of CDSS in improving quality of type II diabetes care. Moreover, the review aims to highlight the key indicators of quality improvement to assist policy makers in development of future diabetes care policies through the integration of information technology and system.Selection of studySetting inclusion criteria, a systematic literature search was conducted using Medline, Web of Science and Science Direct. Critical Appraisal Skills Programme (CASP) tools were used to evaluate the quality of studies. Eight randomized controlled trials (RCTs) were selected for the review. In the selected studies, seventeen clinical markers of diabetes care were discussed. Three quality of care indicators were given more importance in monitoring the progress of diabetes care, which is consistent with National Institute for Health and Care Excellence (NICE) guidelines. The presence of these indicators in the studies helped to determine which studies were selected for review. Clinical- and process-related improvements are compared between intervention group using CDSS and control group with usual care. Glycated hemoglobin (HbA1c), low density lipid cholesterol (LDL-C) and blood pressure (BP) were the quality of care indicators studied at the levels of process of care and clinical outcome.FindingsThe review has found both inconsistent and variable results for quality of diabetes care measures. A significant improvement has been found in the process of care for all three measures of quality of diabetes care. However, weak to modest positive results are observed for the clinical measures of the diabetes care indicators. In addition to this, technology adoption of CDSS is found to be consistently low.ConclusionThe review suggests the need to conduct further empirical research using the critical diabetes care indicators (HbA1c, LDL-C and BP) to ascertain if CDSS improves the quality of diabetes care. Research designs should be improved, especially with regard to baseline characteristics, sample size and study period. With respect to implementation of CDSS, rather than a sudden change of clinical work practice, there should instead be an incremental, gradual adoption of technology that minimizes the disruption in clinical workflow.     

Does the use of consumer health information technology improve outcomes in the patient self-management of diabetes? A meta-analysis and narrative review of randomized controlled trials

PurposeTo assess whether the use of consumer health information technologies (CHITs) improves outcomes in the patient self-management of diabetes.MethodThe evidence from randomized controlled trials (RCTs) on the effects of CHITs on patient outcomes was analyzed using either meta-analysis or a narrative synthesis approach. A systematic search of seven electronic databases was conducted to identify relevant reports of RCTs for the analysis. In the meta-analyses, standardized mean differences in patient outcomes were calculated and random-effects models were applied in cases where the heterogeneity of the results was moderate or high, otherwise fixed-effects models were used.ResultsSixty-two studies, representing 67 RCTs, met the inclusion criteria. The results of the meta-analyses showed that the use of CHITs was associated with significant reductions in HbA1c, blood pressure, total cholesterol, and triglycerides levels when compared with the usual care. The findings from the narrative synthesis indicated that only a small proportion of the trials reported positive effects of CHITs on patient outcomes.ConclusionsThe use of CHITs in supporting diabetes self-management appears to have potential benefits for patients’ self-management of diabetes. However, the effectiveness of the technologies in improving patient outcomes still awaits confirmation in future studies.     

Post-discharge oral antimicrobial use among hospitalized patients across an integrated national healthcare network

ObjectivesAntimicrobial stewardship programmes have focused on reducing inappropriate inpatient antimicrobial prescribing, but several small studies have found a large portion of antimicrobial exposure occurs immediately after hospital discharge. In this study, we describe the prescribing of oral antimicrobials at hospital discharge across an integrated national healthcare system. At the hospital level, we also compare total inpatient antimicrobial use and post-discharge oral antimicrobial use.MethodsThis retrospective cross-sectional study used national administrative data to identify all acute-care admissions during 2014–2016 within the Veterans Health Administration (VHA). We evaluated inpatient days of therapy (DOT) and post-discharge DOT, defined as oral outpatient antimicrobials dispensed at the time of hospital discharge. At the hospital level, inpatient DOT/100 admissions were compared with post-discharge DOT/100 admissions using Spearman's rank-order correlation.ResultsThere were 1 681 701 acute-care admissions across 122 hospitals, and 335 369 (19.9%) were prescribed an oral antimicrobial at discharge. Fluoroquinolones (38.3%) were the most common post-discharge antimicrobial. At the hospital level, median inpatient antimicrobial use was 331.3 (interquartile range (IQR) 284.9–367.9) DOT/100 admissions and median post-discharge use was 209.5 (IQR 181.5–239.6) DOT/100 admissions. Thirty-nine per cent of the total duration of antimicrobial exposure occurred after discharge. At the hospital-level, the metrics of inpatient DOT/100 admissions and post-discharge DOT/100 admissions were weakly positively correlated with rho=0.44 (p < 0.001).ConclusionsA large proportion of antimicrobial exposure among hospitalized patients occurred immediately following discharge. Antimicrobial-prescribing at hospital discharge provides an opportunity for antimicrobial stewardship. Hospital-level stewardship metrics need to include both inpatient and post-discharge antimicrobial-prescribing to provide a comprehensive assessment of hospital-associated antimicrobial use.     

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis

BackgroundDiabetes in pregnancy is a global problem. Technological innovations present exciting opportunities for novel approaches to improve clinical care delivery for gestational and other forms of diabetes in pregnancy.ObjectiveTo perform an updated and comprehensive systematic review and meta-analysis of the literature to determine whether telemedicine solutions offer any advantages compared with the standard care for women with diabetes in pregnancy.MethodsThe review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Randomized controlled trials (RCT) in women with diabetes in pregnancy that compared telemedicine blood glucose monitoring with the standard care were identified. Searches were performed in SCOPUS and PubMed, limited to English language publications between January 2000 and January 2016. Trials that met the eligibility criteria were scored for risk of bias using the Cochrane Collaborations Risk of Bias Tool. A meta-analysis was performed using Review Manager software version 5.3 (Nordic Cochrane Centre, Cochrane Collaboration).ResultsA total of 7 trials were identified. Meta-analysis demonstrated a modest but statistically significant improvement in HbA1c associated with the use of a telemedicine technology. The mean HbA1c of women using telemedicine was 5.33% (SD 0.70) compared with 5.45% (SD 0.58) in the standard care group, representing a mean difference of −0.12% (95% CI −0.23% to −0.02%). When this comparison was limited to women with gestational diabetes mellitus (GDM) only, the mean HbA1c of women using telemedicine was 5.22% (SD 0.70) compared with 5.37% (SD 0.61) in the standard care group, mean difference −0.14% (95% CI −0.25% to −0.04%). There were no differences in other maternal and neonatal outcomes reported.ConclusionsThere is currently insufficient evidence that telemedicine technology is superior to standard care for women with diabetes in pregnancy; however, there was no evidence of harm. No trials were identified that assessed patient satisfaction or cost of care delivery, and it may be in these areas where these technologies may be found most valuable.     

Implementation of POCT in the diabetic clinic in a large hospital

AimPoint-of-care testing (POCT) is gaining renewed interest, especially in resource-limiting primary health care, due to rise in prevalence of communicable and non-communicable diseases hence POCT needscontinuous appraisal.MethodsRandom glucose and glycated haemoglobin (HbA1c) were measured in 104 diabetic patients using standard laboratory multichannel analyzer 917. The utility of venous blood compared to capillary blood in measuring HbA1c was evaluated in a subset of 20 patients using a POCT device, DCA Vantage. Lastly, the POCT was validated against the laboratory multichannel analyser 917, in measurement of HbA1c in a second subset of 46 patients.ResultsRandom blood glucose levels and HbA1c levels moderately correlated (r2 = 0.56; p < 0.0001). Random glucose tests showed that 41% of the patients had poor glycaemic control while HbA1c showed 74%. Venous and capillary blood in HbA1c showed strong correlation (r2 = 0.89440; p < 0.001. There was also strong correlation (r = 0.9802; p < 0.0001) in HbA1c measured using the DCA Vantage and the standard laboratory analyser, Multichannel Analyser 917.ConclusionVenous or capillary blood can be used in POCT for HbA1c. POCT is ideal for monitoring glucose control and management of diabetes in resource-limited countries such as South Africa.     

Preoperative Plasma Aldosterone Predicts Complete Remission of Type 2 Diabetes after Bariatric Surgery

IntroductionBariatric surgery (BS) has beneficial effects on body weight and type 2 diabetes. However, 44–52%, 20–40%, and 19–25% of patients with type 2 diabetes who undergo sleeve gastrectomy, sleeve gastrectomy with duodenal-jejunal bypass, and Roux-en-Y gastric bypass, respectively, show insufficient improvement 1 year after BS. It is thus important to predict the improvement in type 2 diabetes before BS. Many hormones are related to hyperglycemia. However, the relationship between hormones and improvement in type 2 diabetes after BS has not been studied. We aimed to evaluate the relationship between the improvement in type 2 diabetes and hormones in patients with obesity and type 2 diabetes who underwent BS.MethodsWe retrospectively reviewed 79 patients with obesity and type 2 diabetes who underwent BS, with a follow-up period of 12 months. We analyzed the relationship between some clinical parameters and complete remission (CR) of type 2 diabetes after BS. Patients were divided into two groups (type 2 diabetes CR and non-CR). Multiple regression analysis was performed to determine the parameters associated with type 2 diabetes resolution after BS.ResultsBS significantly improved body weight and glucose metabolism. Preoperative liver function, glycated hemoglobin (HbA1c), insulin secretion (homeostatic model assessment [HOMA]2-%B), renin activity, plasma aldosterone level, and duration of type 2 diabetes were significantly different between the CR and non-CR groups. Multiple regression analysis showed that preoperative HbA1c, HOMA2-%B, aldosterone concentration, and duration of type 2 diabetes were predictors of CR of type 2 diabetes after BS. Plasma aldosterone was the strongest predictor.Discussion/ConclusionPreoperative plasma aldosterone levels were related to the CR of type 2 diabetes after BS. Measuring plasma aldosterone levels preoperatively is useful for predicting the CR of type 2 diabetes after BS.     

The efficacy of dapagliflozin for type 1 diabetes: a meta-analysis of randomized controlled studies

IntroductionThe efficacy of dapagliflozin for type 1 diabetes remains controversial. We conduct a systematic review and meta-analysis to explore the treatment efficacy of dapagliflozin versus placebo in patients with type 1 diabetes.MethodsWe have searched PubMed, EMbase, Web of science, EBSCO and Cochrane library databases through May 2019 for randomized controlled trials (RCTs) assessing the effect of dapagliflozin versus placebo for type 1 diabetes. This meta-analysis is performed using the random-effect model.ResultsSix RCTs are included in the meta-analysis. Overall, compared with control group for type 1 diabetes, dapagliflozin treatment shows favorable impact on glycated hemoglobin HbA1c (standard mean difference SMD=-3.93; 95% confidence interval CI =-4.44 to -3.48; P<0.00001), HbA1c reduction of ≥0.5% (risk ratio RR=1.98; 95% CI=1.65 to 2.39; P<0.00001), and fasting plasma glucose FPG (SMD=-0.93; 95% CI=-1.77 to -0.10; P=0.03). There is no statistical difference of hypoglycemia (RR=1.09; 95% CI=0.66 to 1.79; P=0.75) or adverse events (RR=1.07; 95% CI=0.96 to 1.20; P=0.20) between two groups, but the incidence of ketone-related events is higher than those in control group (RR=0.28; 95% CI=3.96 to 11.52; P=0.01).ConclusionsDapagliflozin treatment benefits to reduce HbA1c and FPG for type 1 diabetes.     

Feasibility of identifying out of care HIV-positive patients in a hospital setting and enrolling them in a retention intervention

Background: The hospital setting provides an opportunity to re-engage people living with HIV (PLWH) in HIV care. We developed and implemented a protocol to identify PLWH in a hospital setting. The aim of the current study was to report on our strategy to recruit hospitalized HIV patients into an intervention study, and to report on lessons learned for future studies.

Methods: Our protocol was developed based on experience of our research staff in recruiting HIV patients as well as clinical input from providers and administrators on delivering care in hospitalized settings. We identified hospitalized PLWH between 2010 and 2013 who were potentially eligible for an intervention study. Patients were identified by review of electronic medical records and clinician referral, followed by in-person screening to confirm eligibility. We examined factors related to identifying and enrolling hospitalized patients, and documented lessons learned.

Results: Key strategies included systematic medical record review followed by in-person screening, collaboration with staff, and flexibility in recruitment logistics. We identified 1801 PLWH hospitalized during the 3-year study period. Eighty-four percent (n = 1514) met the met the inclusion criteria based on medical record review. Of these, 48% (n = 733) were ineligible. Among eligible patients, 59% (n = 460) were enrolled. Only 3% (n = 23) of eligible patients declined; 84% (n = 321) were not enrolled because they were discharged before enrollment. Lessons learned included (1) needing to identify patients and deliver the intervention before hospital discharge, (2) limiting the complexity of the intervention, and (3) having research staff available on weekends and after hours.

Conclusions: Targeted recruitment of hospitalized populations is a feasible and productive approach for finding and engaging PLWH who are newly diagnosed or out of routine care.