Real word challenges in integrating electronic medical record and administrative health data for regional quality improvement in diabetes: a retrospective cross-sectional analysis.

BACKGROUND: Linked electronic medical records and administrative data have the potential to support a learning health system and data-driven quality improvement. However, data completeness and accuracy must first be assessed before their application. We evaluated the processes, feasibility, and limitations of linking electronic medical records and administrative data for the purpose of quality improvement within five specialist diabetes clinics in Edmonton, Alberta, a province known for its robust health data infrastructure. METHODS: We conducted a retrospective cross-sectional analysis using electronic medical record and administrative data for individuals ≥ 18 years attending the clinics between March 2017 and December 2018. Descriptive statistics were produced for demographics, service use, diabetes type, and standard diabetes benchmarks. The systematic and iterative process of obtaining results is described. RESULTS: The process of integrating electronic medical record with administrative data for quality improvement was found to be non-linear and iterative and involved four phases: project planning, information generating, limitations analysis, and action. After limitations analysis, questions were grouped into those that were answerable with confidence, answerable with limitations, and not answerable with available data. Factors contributing to data limitations included inaccurate data entry, coding, collation, migration and synthesis, changes in laboratory reporting, and information not captured in existing databases. CONCLUSION: Electronic medical records and administrative databases can be powerful tools to establish clinical practice patterns, inform data-driven quality improvement at a regional level, and support a learning health system. However, there are substantial data limitations that must be addressed before these sources can be reliably leveraged.

Using the Edmonton Obesity Staging System in the real world: a feasibility study based on cross-sectional data.

BACKGROUND: The Edmonton Obesity Staging System (EOSS) combined with body mass index (BMI) enables improved functional and prognostic assessment for patients. To facilitate application of the EOSS in practice, we aimed to create tools for capturing comorbidity assessments in electronic medical records and for automating the calculation of a patient's EOSS stage. METHODS: In this feasibility study, we used cross-sectional data to create a clinical dashboard to calculate and display the relation between BMI and EOSS and the prevalence of related comorbidities. We obtained data from the Northern Alberta Primary Care Research Network and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). We included patients at least 18 years of age with BMI between 30 and 60 who visited a network clinic between July 2016 and July 2019. We calculated descriptive statistics and used stepwise ordinary least squares regression to assess the contributions of age, sex and BMI to EOSS variation. RESULTS: We created a clinical dashboard using the CPCSSN data presentation tool. Of the total 31 496 patients included in the study, 23 460 had a BMI of at least 30; BMI was unavailable for 8036 patients. Within each EOSS disease severity stage, there were similar proportions of patients from each BMI class (e.g., patients with EOSS stage 2 included 51.8% of those with BMI class I, 55.3% of those with BMI class II and 58.8% of those with BMI class III). INTERPRETATION: Using data from primary care electronic medical records, it was feasible to create a clinical dashboard for obesity that highlighted the severity and stage of obesity. Making this information easily accessible for individual clinical care and practice-level quality improvement may advance obesity care.

"A Touch of Sugar": A Qualitative Study of the Impact of Health Beliefs on Type 1 and Type 2 Diabetes Self-Management Among Black Canadian Adults.

OBJECTIVES: Black Canadians have higher rates of diabetes and complications compared with White Canadians. However, research on diabetes self-management in this community is lacking. We conducted a qualitative study to explore diabetes self-management in the Black Canadian community using the lens of the Health Belief Model. METHODS: Forty-three individuals who identify as Black Canadians, living with or caring for a person with diabetes, were recruited. Data were collected through focus groups and interviews, and then analyzed using content analysis. RESULTS: We found that participants appreciated they are susceptible to diabetes based on family or peer experiences. Perceived severity is variable for which some believe that diabetes is only a "sugar problem," and the majority highlighted a perceived lack of knowledge about diabetes complications. Perceived benefits to treatment included prolonging life and cleansing one's body. Perceived barriers included lack of culturally appropriate dietary advice, lack of shared decision-making driven by a language barrier and cultural mismatch between patient and provider, socioeconomic status and difficulty navigating and accessing the Canadian health-care system. Peers, family members, churches and online platforms served as the main information sources and cues to action, influencing each of the 4 aforementioned categories. A number of solutions were proposed by the participants to address the barriers from patient, health-care delivery and health advocacy perspectives. CONCLUSIONS: Black Canadians face unique barriers to diabetes self-management, some of which are rooted within health belief systems. Avenues for intervention include peer education through narratives and a renewed focus on providing culturally appropriate care.

Outcomes in the offspring of mothers with pre-diabetes during pregnancy: a protocol for a systematic review.

BACKGROUND: Despite the increasing prevalence of pre-diabetes worldwide, there is insufficient literature on the impact of gestational pre-diabetes on offspring outcomes. The objective of this systematic review is to determine the risk of developing adverse outcomes for the offspring in women with pre-diabetes compared to women with normal glucose levels and women with gestational diabetes mellitus. METHODS/DESIGN: A systematic search of the published literature will be conducted for experimental and observational studies that report outcomes in the offspring of mothers with pre-diabetes during pregnancy. Databases including EMBASE, PsycINFO, and PubMed will be searched from 1979 (the year when the terms impaired glucose tolerance and pre-diabetes were coined) to December 2014. Screening of identified articles and data extraction will be conducted in duplicate and independently. Methodological quality of the included studies will be assessed using the Newcastle-Ottawa scale. Discrepancies will be resolved by consensus or by consulting a third author. Meta-analyses will be performed, and findings will be reported according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and the meta-analysis of observational studies in epidemiology (MOOSE) guidelines. DISCUSSION: Determining the effect of pre-diabetes on offspring outcome will be important for clinicians providing care to pregnant women and their offspring. This review will also identify any gaps in the current literature on this topic and provide direction for future research in this area of study. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015015536.

Barriers to and facilitators for screening women for intimate partner violence in surgical fracture clinics: a qualitative descriptive approach.

BACKGROUND: Intimate Partner Violence (IPV) is a major health issue that involves any physical, sexual or psychological harm inflicted by a current or former partner. Musculoskeletal injuries represent the second most prevalent clinical manifestation of IPV. Health care professionals, however, rarely screen women for IPV. Using qualitative methods, this study aimed to explore the perceived barriers to IPV screening and potential facilitators for overcoming these barriers among orthopaedic surgeons and surgical trainees. METHODS: We conducted three focus groups with orthopaedic surgeons, senior surgical trainees, and junior surgical trainees. A semi-structured focus group guide was used to structure the discussions. Transcripts and field notes from the focus groups were analyzed using the qualitative software program N'Vivo (version 10.0; QSR International, Melbourne, Australia). To further inform our focus group findings and discuss policy changes, we conducted interviews with two opinion leaders in the field of orthopaedics. Similar to the focus groups, the interviews were digitally recorded and transcribed, and then analyzed. RESULTS: In the analysis, four categories of barriers were identified: surgeon perception barriers; perceived patient barriers; fracture clinic barriers and orthopaedic health care professional barriers. Some of the facilitators identified included availability of a crisis team; development of a screening form; presence of IPV posters or buttons in the fracture clinic; and the need for established policy or government support for IPV screening. The interviewees identified the need for: the introduction of evidence-based policy aiming to increase awareness about IPV among health care professionals working within the fracture clinic setting, fostering local and national champions for IPV screening, and the need to generate change on a local level. CONCLUSIONS: There are a number of perceived barriers to screening women in the fracture clinic for IPV, many of which can be addressed through increased education and training, and additional resources in the fracture clinic. Orthopaedic health care professionals are supportive of implementing an IPV screening program in the orthopaedic fracture clinic.