Improving outcomes for high-risk diabetics using information systems

Effect of Clinical Decision Support on Cardiovascular Risk Among Adults With Bipolar Disorder, Schizoaffective Disorder, or Schizophrenia: A Cluster Randomized Clinical Trial

IMPORTANCE

Adults with schizophrenia, schizoaffective disorder, or bipolar disorder, collectively termed serious mental illness (SMI), have shortened life spans compared with people without SMI. The leading cause of death is cardiovascular (CV) disease.

OBJECTIVE

To assess whether a clinical decision support (CDS) system aimed at primary care clinicians improves CV health for adult primary care patients with SMI.

DESIGN, SETTING, AND PARTICIPANTS

In this cluster randomized clinical trial conducted from March 2, 2016, to September 19, 2018, restricted randomization assigned 76 primary care clinics in 3 Midwestern health care systems to receive or not receive a CDS system aimed at improving CV health among patients with SMI. Eligible clinics had at least 20 patients with SMI; clinicians and their adult patients with SMI with at least 1 modifiable CV risk factor not at the goal set by the American College of Cardiology/American Heart Association guidelines were included. Statistical analysis was conducted on an intention-to-treat basis from January 10, 2019, to December 29, 2021.

INTERVENTION

The CDS system assessed modifiable CV risk factors and provided personalized treatment recommendations to clinicians and patients.

MAIN OUTCOMES AND MEASURES

Patient-level change in total modifiable CV risk over 12 months, summed from individual modifiable risk factors (smoking, body mass index, low-density lipoprotein cholesterol level, systolic blood pressure, and hemoglobin A1c level).

RESULTS

A total of 80 clinics were randomized; 4 clinics were excluded for having fewer than 20 eligible patients, leaving 42 intervention clinics and 34 control clinics. A total of 8937 patients with SMI (4922 women [55.1%]; mean [SD] age, 48.4 [13.5] years) were enrolled. There was a 4% lower rate of increase in total modifiable CV risk among intervention patients relative to control patients (relative rate ratio [RR], 0.96; 95% CI, 0.94-0.98). The intervention favored patients who were 18 to 29 years of age (RR, 0.89; 95% CI, 0.81-0.98) or 50 to 59 years of age (RR, 0.93; 95% CI, 0.90-0.96), Black (RR, 0.93; 95% CI, 0.88-0.98), or White (RR, 0.96; 95% CI, 0.94-0.98). Men (RR, 0.96; 95% CI, 0.94-0.99) and women (RR, 0.95; 95% CI, 0.92-0.97), as well as patients with any SMI subtype (bipolar disorder: RR, 0.96; 95% CI, 0.94-0.99; schizoaffective disorder: RR, 0.94; 95% CI, 0.90-0.98; schizophrenia: RR, 0.92; 95% CI, 0.85-0.99) also benefited from the intervention. Despite treatment effects favoring the intervention, there were no significant differences in individual modifiable risk factors.

CONCLUSIONS AND RELEVANCE

This CDS intervention resulted in a rate of change in total modifiable CV risk that was 4% lower among intervention patients compared with control patients. Results were driven by the cumulative effects of incremental and mostly nonsignificant changes in individual modifiable risk factors. These findings emphasize the value of using CDS to prompt early primary care intervention for adults with SMI.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02451670.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends.

METHODS

The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision.

RESULTS

Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes.

CONCLUSION

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

The Role of Physician and Practice Characteristics in the Quality of Diabetes Management in Primary Care: Systematic Review and Meta-analysis

BACKGROUND

Despite evidence-based guidelines, high-quality diabetes care is not always achieved. Identifying factors associated with the quality of management in primary care may inform service improvements, facilitating the tailoring of quality improvement interventions to practice needs and resources.

METHODS

We searched MEDLINE, EMBASE, CINAHL and Web of Science from January 1990 to March 2019. Eligible studies were cohort studies, cross-sectional studies and randomised controlled trials (baseline data) conducted among adults with diabetes, which examined the relationship between any physician and/or practice factors and any objective measure(s) of quality. Studies which examined patient factors only were ineligible. Where possible, data were pooled using random-effects meta-analysis.

RESULTS

In total, 82 studies were included. The range of individual quality measures and the construction of composite measures varied considerably. Female physicians compared with males ((odds ratio (OR) = 1.07, 95% CI: 1.04, 1.10), 8 studies), physicians with higher diabetes volume compared with lower volume (OR = 1.24, 95% CI: 1.05-1.47, 4 studies) and practices with Electronic Health Records (EHR) versus practices without (OR = 1.43, 95% CI: 1.11-1.84, 4 studies) were associated with a higher quality of care. There was no association between physician experience, practice location and type of practice and quality. Based on the narrative synthesis, increasing physician age and higher practice socio-economic deprivation may be associated with lower quality of care.

DISCUSSION

Identification of physician- and practice-level factors associated with the quality of care (female gender, younger age, physician-level diabetes volume, practice deprivation and EHR use) may explain differences across practices and physicians, provide potential targets for quality improvement interventions and indicate which practices need specific supports to deliver improvements in diabetes care.

Pragmatic trial design of an intervention to reduce cardiovascular risk in people with serious mental illness

BACKGROUND

Cardiovascular (CV) disease is the leading cause of death for people with serious mental illness (SMI), but clinicians are often slow to address this risk.

METHODS/DESIGN

78 Midwestern primary care clinics were randomized to receive or not receive access to a clinical decision support (CDS) tool. Between March 2016 and September 2018, primary care clinicians (PCPs) received CDS alerts during visits with adult patients with SMI who met minimal inclusion criteria and had at least one CV risk factor not at goal. The PCP CDS included a summary of six modifiable CV risk factors and patient-specific treatment recommendations. Psychiatrists received CDS alerts during their next visit with an eligible patient with SMI that alerted them to an elevated body mass index or recent weight gain and the presence of an obesogenic SMI medication. Study outcomes include total modifiable CV risk, six modifiable CV risk factors, and use of obesogenic SMI medications.

DISCUSSION

This cluster-randomized pragmatic trial allowed PCPs and psychiatrists the opportunity to improve CV risk in a timely manner for patients with SMI. Effectiveness will be assessed using an intent-to-treat analysis, and outcomes will be assessed largely through electronic health record data harvested by the CDS tool itself. In total, 10,347 patients with SMI had an index primary care visit in a randomized clinic, and 8937 patients had at least one follow-up visit. Analyses are ongoing, and trial results are expected in mid-2020.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02451670.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends.

METHODS

The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision.

RESULTS

Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes.

CONCLUSION

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

2017 National Standards for Diabetes Self-Management Education and Support

PURPOSE

The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends.

METHODS

The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision.

RESULTS

Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes.

CONCLUSION

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

Chronic care coordination by integrating care through a team-based, population-driven approach: a case study

Patients with chronic conditions frequently experience behavioral comorbidities to which primary care cannot easily respond. This study observed a Vermont family medicine practice with integrated medical and behavioral health services that use a structured approach to implement a chronic care management system with Lean. The practice chose to pilot a population-based approach to improve outcomes for patients with poorly controlled Type 2 diabetes using a stepped-care model with an interprofessional team including a community health nurse. This case study observed the team's use of Lean, with which it designed and piloted a clinical algorithm composed of patient self-assessment, endorsement of behavioral goals, shared documentation of goals and plans, and follow-up. The team redesigned workflows and measured reach (patients who engaged to the end of the pilot), outcomes (HbA1c results), and process (days between HbA1c tests). The researchers evaluated practice member self-reports about the use of Lean and facilitators and barriers to move from pilot to larger scale applications. Of 20 eligible patients recruited over 3 months, 10 agreed to participate and 9 engaged fully (45%); 106 patients were controls. Relative to controls, outcomes and process measures improved but lacked significance. Practice members identified barriers that prevented implementation of all changes needed but were in agreement that the pilot produced useful outcomes. A systematized, population-based, chronic care management service is feasible in a busy primary care practice. To test at scale, practice leadership will need to allocate staffing, invest in shared documentation, and standardize workflows to streamline office practice responsibilities.

Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis

BACKGROUND

Successful treatment of diabetes includes patient self-management behaviors to prevent or delay complications and comorbid diseases. On the basis of findings from large clinical trials and professional guidelines, diabetes education programs and health providers prescribe daily regimens of glucose monitoring, healthy eating, stress management, medication adherence, and physical activity. Consistent, long-term commitment to regimens is challenging. Mobile health is increasingly being used to assist patients with lifestyle changes and self-management behaviors between provider visits. The effectiveness of mobile health to improve diabetes outcomes depends on patient engagement with a technology, content, or interactions with providers.

OBJECTIVES

In the current analysis, we aimed to identify patient engagement themes in diabetes messaging with diabetes providers and determine if differences in engagement in the Mobile Diabetes Intervention Study (MDIS) influenced changes in glycated hemoglobin A1c (HbA1c) over a 1-year treatment period (1.9% absolute decrease in the parent study).

METHODS

In the primary MDIS study, 163 patients were enrolled into 1 of 3 mobile intervention groups or a usual care control group based on their physician cluster randomization assignment. The control group received care from their physicians as usual. Participants in each intervention group had access to a patient portal where they could record monitoring values for blood glucose, blood pressure, medication changes, or other self-management information while also assigned to varying levels of physician access to patient data. Intervention participants could choose to send and receive messages to assigned certified diabetes educators with questions or updates through the secure Web portal. For this secondary analysis, patient engagement was measured using qualitative methods to identify self-care themes in 4109 patient messages. Mixed methods were used to determine the impact of patient engagement on change in HbA1c over 1 year.

RESULTS

Self-care behavior themes that received the highest engagement for participants were glucose monitoring (75/107, 70.1%), medication management (71/107, 66.4%), and reducing risks (71/107, 66.4%). The average number of messages sent per patient were highest for glucose monitoring (9.2, SD 14.0) and healthy eating (6.9, SD 13.2). Compared to sending no messages, sending any messages about glucose monitoring (P=.03) or medication (P=.01) led to a decrease in HbA1c of 0.62 and 0.72 percentage points, respectively. Sending any messages about healthy eating, glucose monitoring, or medication combined led to a decrease in HbA1c of 0.54 percentage points compared to not sending messages in these themes (P=.045).

CONCLUSIONS

The findings from this study help validate the efficacy of the mobile diabetes intervention. The next step is to determine differences between patients who engage in mobile interventions and those who do not engage and identify methods to enhance patient engagement.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by WebCite at http://www.webcitation.org/6wh4ekP4R).

2017 National Standards for Diabetes Self-Management Education and Support

Purpose

The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends.

Methods

The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision.

Results

Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes.

Conclusion

Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

2017 National Standards for Diabetes Self-Management Education and Support

This article was copublished in Diabetes Care 2017;40:1409-1419 and The Diabetes Educator 2017;43:449-464 and is reprinted with permission. The previous version of this article, also copublished in Diabetes Care and The Diabetes Educator, can be found at Diabetes Care 2012;35:2393-2401 (https://doi.org/10.2337/dc12-1707).

2017 National Standards for Diabetes Self-Management Education and Support

Purpose The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. Methods The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. Results Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. Conclusion Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

The effect of electronic reminders on risk management among diabetic patients in low resourced settings

BACKGROUND

Information technology has potential to improve health care delivery particularly among individuals with chronic diseases such as diabetes in low and middle-income countries (LMIC). Research on the usefulness of information technology to manage persons living with chronic diseases is scarce in LMIC. We sought to evaluate the effect of an electronic reminder system on cardiovascular risk factors (blood pressure, heart rate, and fasting plasma glucose) and adherence to clinical appointments among persons living with diabetes.

RESEARCH DESIGN AND METHODS

A randomized controlled design was used to recruit 200 diabetic patients (intervention n=100, control n=100) from the National Diabetes Management Research Centre, Accra. All patients received usual diabetes care. The intervention group was given electronic reminders for their clinical appointments and their physicians were prompted with abnormal laboratory results for six months.

RESULTS

Baseline characteristics were largely similar for both groups. At six months follow up, the mean reductions of all the cardiovascular risk factors in the intervention group were significantly greater than in the control group: -1.7 kg/m(2) versus -1.1 kg/m(2)(p=0.002) for BMI; -4.7 mmHg versus -2.8 mmHg (p=0.002) for SBP; -5.3 mmH versus -3.1 mmHg (p=0.001) for DBP; -1.7 bpm versus -0.1 bpm (p=0.001) for heart rate and -2.3 mmol/L versus -1.6 mmol/L (p=0.001) for fasting plasma glucose, respectively. Adherence to appointment schedules was also significantly higher in the intervention group compared with the control group (97.8% versus 89.4%, p=0.010).

CONCLUSIONS

Locally developed electronic initiatives such as this resulted in improved cardiovascular risk factors and effective compliance to clinical practices and improved quality of care for persons living with diabetes.

Implementation of customized health information technology in diabetes self management programs

PURPOSE

The project was a nurse-led implementation of a software application, designed to combine clinical and demographic records for a diabetes education program, which would result in secure, long-term record storage.

BACKGROUND/RATIONALE

Clinical information systems may be prohibitively expensive for small practices and require extensive training for implementation. A review of the literature suggests that the use of simple, practice-based registries offer an economical method of monitoring the outcomes of diabetic patients.

PROJECT DESCRIPTION

The database was designed using a common software application, Microsoft Access. The theory used to guide implementation and staff training was Rogers' Diffusion of Innovations theory (1995).

OUTCOMES

Outcomes after a 3-month period included incorporation of 100% of new clinical and demographic patient records into the database and positive changes in staff attitudes regarding software applications used in diabetes self-management training. These objectives were met while keeping project costs under budgeted amounts.

CONCLUSIONS

As a function of the clinical nurse specialist (CNS) researcher role, there is a need for CNSs to identify innovative and economical methods of data collection. The success of this nurse-led project reinforces suggestions in the literature for less costly methods of data maintenance in small practice settings. Ongoing utilization and enhancement have resulted in the creation of a robust database that could aid in the research of multiple clinical issues.

IMPLICATIONS

Clinical nurse specialists can use existing evidence to guide and improve both their own practice and outcomes for patients and organizations. Further research regarding specific factors that predict efficient transition of informatics applications, how these factors vary according to practice settings, and the role of the CNS in implementation of such applications is needed.

Features of the Chronic Care Model (CCM) associated with behavioral counseling and diabetes care in community primary care

BACKGROUND

The Chronic Care Model (CCM) was developed to improve chronic disease care, but it may also inform delivery of other types of preventive care. Using hierarchical analyses of service delivery to patients, we explored associations of CCM implementation with diabetes care and counseling for diet or weight loss and physical activity in community-based primary care offices.

METHODS

Secondary analysis focused on baseline data from 25 practices (with an average of 4 physicians per practice) participating in an intervention trial targeting improved colorectal cancer screening rates. This intervention made no reference to the CCM. CCM implementation was measured through staff and clinical management surveys and was associated with patient care indicators (chart audits and patient questionnaires).

RESULTS

Overall, practices had low levels of CCM implementation. However, higher levels of CCM implementation were associated with better diabetes assessment and treatment of patients (P = .009 and .015, respectively), particularly among practices open to "innovation." Physical activity counseling for obese and, particularly, overweight patients was strongly associated with CCM implementation (P = .0017), particularly among practices open to "innovation"; however, this association did not hold for overweight and obese patients with diabetes.

CONCLUSIONS

Very modest levels of CCM implementation in unsupported primary care practices are associated with improved care for patients with diabetes and higher rates of behavioral counseling. Incremental incorporation of CCM components is an option, especially for community practices with stretched resources and with cultures of "innovativeness."

Methylselenocysteine resets the rhythmic expression of circadian and growth-regulatory genes disrupted by nitrosomethylurea in vivo

Epidemiologic and animal studies indicate that disruption of circadian rhythm increases breast cancer risk. Previously, we showed that methylselenocysteine reduced the incidence of N-nitroso-N-methylurea (NMU)-induced mammary carcinomas in Fischer 344 rats by 63%. Methylselenocysteine also increased the expression of Period 2 (Per2) and D-binding protein (DBP), providing evidence for a link between circadian rhythm and chemoprevention. Here, we report that NMU disrupted the expression of core circadian genes (Per1, Per2, Cry1, Cry2, and RevErbAalpha) and circadian-controlled genes, including melatonin receptor 1alpha (MTNR1A), estrogen receptors (ERalpha and ERbeta), and growth-regulatory genes (Trp53, p21, Gadd45alpha, and c-Myc) in mammary glands of Fischer 344 rats. By contrast, dietary methylselenocysteine (3 ppm selenium) given for 30 days, significantly enhanced the circadian expression of these genes (except for Cry1 and Cry2). The largest effect was on the levels of the Per2, MTNR1A, and ERbeta mRNAs, which showed 16.5-fold, 4.7-fold, and 9.5-fold increases in their rhythm-adjusted means, respectively, and 44.5-fold, 6.5-fold, and 9.7-fold increases in amplitude as compared with the control diet, respectively. Methylselenocysteine also shifted the peak expression times of these genes to Zeitgeber time 12 (ZT12; lights off). Methylselenocysteine also induced rhythmic expression of Trp53, p21, and Gadd45alpha mRNAs with peak levels at ZT12, when c-Myc expression was at its lowest level. However, methylselenocysteine had no significant effect on the circadian expression of these genes in liver. These results suggest that dietary methylselenocysteine counteracted the disruptive effect of NMU on circadian expression of genes essential to normal mammary cell growth and differentiation.

A medical home: value and implications of knowledge management

BACKGROUND

Central to the "medical home" concept is the premise that the delivery of effective primary care requires a fundamental shift in relationships among practice members and between practice members and patients. Primary care practices can potentially increase their capacity to deliver effective care through knowledge management (KM), a process of sharing and making existing knowledge available or by developing new knowledge among practice members and patients. KM affects performance by influencing work relationships to enhance learning, decision making, and task execution.

PURPOSE

We extend our previous work to further characterize, describe, and contrast how primary care practices exhibit KM and explain why KM deserves attention in medical home redesign initiatives.

METHODOLOGY

Case studies were conducted, drawn from two higher and lower performing practices, which were purposely selected based on disease management, prevention, and productivity measures from an improvement trial. Observations of operations, clinical encounters, meetings, and interviews with office members and patients were transcribed and coded independently using a KM template developed from a previous secondary analysis. Face-to-face discussions resolved coding differences among research team members. Confirmation of findings was sought from practice participants.

FINDINGS

Practices manifested varying degrees of KM effectiveness through six interdependent processes and multiple overlapping tools. Social tools, such as face-to-face-communication for sharing and developing knowledge, were often more effective than were expensive technical tools such as an electronic medical record. Tool use was tailored for specific outcomes, interacted with each other, and leveraged by other organizational capacities. Practices with effective KM were more open to adopting and sustaining new ways of functioning, ways reflecting attributes of a medical home.

PRACTICE IMPLICATIONS

Knowledge management differences occur within and between practices and can explain differences in performance. By relying more on social tools rather than costly, high-tech investment, KM leverages primary care's relationship-centered strength, facilitating practice redesign as a medical home.

Improving diabetes care using a multitiered quality improvement model

The authors report the results of implementing a diabetes mellitus guideline in a group practice in which uniform, technology-generated care processes were produced for patients, clinical staff, and providers. The objective was to increase the annual rate of recommended tests and examinations for patients with diabetes and to reduce levels of glycosylated hemoglobin, blood pressure, and low-density lipoprotein cholesterol. A process change for type 2 diabetes mellitus was implemented that included changes in office visit structure, protocol-driven electronic prompts for nursing and physician staffs, clinical decision support built into a new electronic medical record form, and audit with feedback. Twelve primary care physicians treated a total of 1592 patients with diabetes between January 2007 and January 2008. There were prompt and statistically significant improvements in 5 process measures and 2 outcome measures; a quality summary measure showed 8% overall improvement. Statistically significant improvements with moderate effect size were observed after a multitiered intervention.

Beyond health information technology: critical factors necessary for effective diabetes disease management

BACKGROUND

Electronic health records (EHRs) have been implemented throughout the United States with varying degrees of success. Past EHR implementation experiences can inform health systems planning to initiate new or expand existing EHR systems. Key "critical success factors," e.g., use of disease registries, workflow integration, and real-time clinical guideline support, have been identified but not fully tested in practice.

METHODS

A pre/postintervention cohort analysis was conducted on 495 adult patients selected randomly from a diabetes registry and followed for 6 years. Two intervention phases were evaluated: a "low-dose" period targeting primary care provider (PCP) and patient education followed by a "high-dose" EHR diabetes management implementation period, including a diabetes disease registry and office workflow changes, e.g., diabetes patient preidentification to facilitate real-time diabetes preventive care, disease management, and patient education.

RESULTS

Across baseline, "low-dose," and "high-dose" postintervention periods, a significantly greater proportion of patients (a) achieved American Diabetes Association (ADA) guidelines for control of blood pressure (26.9 to 33.1 to 43.9%), glycosylated hemoglobin (48.5 to 57.5 to 66.8%), and low-density lipoprotein cholesterol (33.1 to 44.4 to 56.6%) and (b) received recommended preventive eye (26.2 to 36.4 to 58%), foot (23.4 to 40.3 to 66.9%), and renal (38.5 to 53.9 to 71%) examinations or screens.

CONCLUSIONS

Implementation of a fully functional, specialized EHR combined with tailored office workflow process changes was associated with increased adherence to ADA guidelines, including risk factor control, by PCPs and their patients with diabetes. Incorporation of previously identified "critical success factors" potentially contributed to the success of the program, as did use of a two-phase approach.

Impact of a generalizable reminder system on colorectal cancer screening in diverse primary care practices: a report from the prompting and reminding at encounters for prevention project

BACKGROUND

Computerized reminder systems (CRS) show promise for increasing preventive services such as colorectal cancer (CRC) screening. However, prior research has not evaluated a generalizable CRS across diverse, community primary care practices. We evaluated whether a generalizable CRS, ClinfoTracker, could improve screening rates for CRC in diverse primary care practices.

METHODS

The study was a prospective trial to evaluate ClinfoTracker using historical control data in 12 Great Lakes Research In Practice Network community-based, primary care practices distributed from Southeast to Upper Peninsula Michigan. Our outcome measures were pre- and post-study practice-level CRC screening rates among patients seen during the 9-month study period. Ability to maintain the CRS was measured by days of reminder printing. Field notes were used to examine each practice's cohesion and technology capabilities.

RESULTS

All but one practice increased their CRC screening rates, ranging from 3.3% to 16.8% improvement. t tests adjusted for within practice correlation showed improvement in screening rates across all 12 practices, from 41.7% to 50.9%, P = 0.002. Technology capabilities impacted printing days (74% for high technology vs. 45% for low technology practices, P = 0.01), and cohesion demonstrated an impact trend for screening (15.3% rate change for high cohesion vs. 7.9% for low cohesion practices).

CONCLUSIONS

Implementing a generalizable CRS in diverse primary care practices yielded significant improvements in CRC screening rates. Technology capabilities are important in maintaining the system, but practice cohesion may have a greater influence on screening rates. This work has important implications for practices implementing reminder systems.

Diabetes flow sheet use associated with guideline adherence

PURPOSE

Many intervention studies have found that flow sheet use improves patient care by drawing attention to a particular medical condition or needed preventive service and encouraging an immediate response from the health care professional; however, there are no studies examining how often flow sheets are used for diabetes in primary care practice. We assessed the relationship between diabetes flow sheet use and diabetes patient care outcomes in the everyday practice of primary care.

METHODS

We abstracted the medical records of 1,016 patients with diabetes seen at 54 New Jersey and eastern Pennsylvania family practices participating in a quality improvement trial. The use of diabetes flow sheets was noted for each medical record. Scores for adherence to evidence-based diabetes guidelines in terms of assessment, treatment, and target attainment were determined on 100-point scales, with higher scores indicating better adherence. Generalized linear models were used to determine associations between use of diabetes flow sheets and adherence to guidelines.

RESULTS

Diabetes flow sheets were used in 23% of the medical records of patients with diabetes. Use of flow sheets was associated with better mean guideline adherence scores for the assessment of diabetes (55.38 vs 50.13, P = .02) and the treatment of diabetes (79.59 vs 74.71, P = .004), but not for the attainment of intermediate diabetes outcome targets (hemoglobin A(1c) level, low-density lipoprotein cholesterol level, and blood pressure).

CONCLUSIONS

Diabetes flow sheets can be used to promote better adherence to guidelines when it comes to assessing and treating diabetes. Additional research is needed to explore patient and physician variables that mediate the relationship between use of diabetes flow sheets and intermediate outcome targets for diabetes.

Family medicine practice performance and knowledge management

BACKGROUND

Knowledge management (KM) is the process by which people in organizations find, share, and develop knowledge for action. KM affects performance by influencing work relationships to enhance learning and decision making.

PURPOSE

To identify how family medicine practices exhibit KM.

METHODOLOGY

A model and a template of KM concepts were derived from a comprehensive organizational literature review. Two higher and two lower performing family medicine practices were purposefully selected from existing comparative case studies based on prevention delivery rates and innovation. Interviews, fieldnotes of operations, and clinical encounters were coded independently using the template. Face-to-face discussions resolved coding differences.

FINDINGS

All practices had processes and tools for finding, sharing, and developing knowledge; however, KM overall was limited despite implementation of expensive technologies like an electronic medical record. Where present, KM processes and tools were used by individuals but not integrated throughout the organization. Loss of information was prominent, and finding knowledge was underdeveloped. The use of technical tools and developing knowledge by reconfiguration and measurement were particularly limited. Socially related tools, such as face-to-face-communication for sharing and developing knowledge, were more developed. As in other organizations, tool use was tailored for specific outcomes and leveraged by other organizational capacities.

PRACTICE IMPLICATIONS

Differences in KM occur within family practices and between family practices and other organizations and may have implications for improving practice performance. Understanding interaction patterns of work relationships and KM may explain why costly technical or externally imposed "one size fits all" practice organizational interventions have had mixed results and limited sustainability.