Pragmatic Trial of Hospitalization Rate in Chronic Kidney Disease.

BACKGROUND: Despite the availability of effective therapies for patients with chronic kidney disease, type 2 diabetes, and hypertension (the kidney-dysfunction triad), the results of large-scale trials examining the implementation of guideline-directed therapy to reduce the risk of death and complications in this population are lacking. METHODS: In this open-label, cluster-randomized trial, we assigned 11,182 patients with the kidney-dysfunction triad who were being treated at 141 primary care clinics either to receive an intervention that used a personalized algorithm (based on the patient's electronic health record [EHR]) to identify patients and practice facilitators to assist providers in delivering guideline-based interventions or to receive usual care. The primary outcome was hospitalization for any cause at 1 year. Secondary outcomes included emergency department visits, readmissions, cardiovascular events, dialysis, and death. RESULTS: We assigned 71 practices (enrolling 5690 patients) to the intervention group and 70 practices (enrolling 5492 patients) to the usual-care group. The hospitalization rate at 1 year was 20.7% (95% confidence interval [CI], 19.7 to 21.8) in the intervention group and 21.1% (95% CI, 20.1 to 22.2) in the usual-care group (between-group difference, 0.4 percentage points; P = 0.58). The risks of emergency department visits, readmissions, cardiovascular events, dialysis, or death from any cause were similar in the two groups. The risk of adverse events was also similar in the trial groups, except for acute kidney injury, which was observed in more patients in the intervention group (12.7% vs. 11.3%). CONCLUSIONS: In this pragmatic trial involving patients with the triad of chronic kidney disease, type 2 diabetes, and hypertension, the use of an EHR-based algorithm and practice facilitators embedded in primary care clinics did not translate into reduced hospitalization at 1 year. (Funded by the National Institutes of Health and others; ICD-Pieces ClinicalTrials.gov number, NCT02587936.).

A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions.

PURPOSE: Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities. METHODS: We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration. RESULTS: Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7). CONCLUSION: Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

COPD Population in US Primary Care: Data From the Optimum Patient Care DARTNet Research Database and the Advancing the Patient Experience in COPD Registry.

PURPOSE: To describe demographic and clinical characteristics of chronic obstructive pulmonary disease patients managed in US primary care. METHODS: This was an observational registry study using data from the Chronic Obstructive Pulmonary Disease (COPD) Optimum Patient Care DARTNet Research Database from which the Advancing the Patient Experience COPD registry is derived. Registry patients were aged ≥35 years at diagnosis. Electronic health record data were collected from both registries, supplemented with patient-reported information/outcomes from the Advancing the Patient Experience registry from 5 primary care groups in Texas, Ohio, Colorado, New York, and North Carolina (June 2019 through November 2020). RESULTS: Of 17,192 patients included, 1,354 were also in the Advancing the Patient Experience registry. Patients were predominantly female (56%; 9,689/17,192), White (64%; 9,732/15,225), current/ex-smokers (80%; 13,784/17,192), and overweight/obese (69%; 11,628/16,849). The most commonly prescribed maintenance treatments were inhaled corticosteroid with a long-acting ß2-agonist (30%) and inhaled corticosteroid with a long-acting muscarinic antagonist (27%). Although 3% (565/17,192) of patitents were untreated, 9% (1,587/17,192) were on short-acting bronchodilator monotherapy, and 4% (756/17,192) were on inhaled corticosteroid monotherapy. Despite treatment, 38% (6,579/17,192) of patients experienced 1 or more exacerbations in the last 12 months. These findings were mirrored in the Advancing Patient Experience registry with many patients reporting high or very high impact of disease on their health (43%; 580/1,322), a breathlessness score 2 or more (45%; 588/1,315), and 1 or more exacerbation in the last 12 months (50%; 646/1,294). CONCLUSIONS: Our findings highlight the high exacerbation, symptom, and treatment burdens experienced by COPD patients managed in US primary care, and the need for more real-life effectiveness trials to support decision making at the primary care level.

Variation in Demographic and Clinical Characteristics of Patients with COPD Receiving Care in US Primary Care: Data from the Advancing the Patient EXperience (APEX) in COPD Registry.

Introduction: Little is known about the variability in chronic obstructive pulmonary disease (COPD) management and how it may be affected by patient characteristics across different healthcare systems in the US. This study aims to describe demographic and clinical characteristics of people with COPD and compare management across five primary care medical groups in the US. Methods: This is a retrospective observational registry study utilizing electronic health records stored in the Advancing the Patient Experience (APEX) COPD registry. The APEX registry contains data from five US healthcare organizations located in Texas, Ohio, Colorado, New York, and North Carolina. Data on demographic and clinical characteristics of primary care patients with COPD between December 2019 and January 2020 were extracted and compared. Results: A total of 17,192 patients with COPD were included in analysis: Texas (n = 811), Ohio (n = 8722), Colorado (n = 472), New York (n = 1149) and North Carolina (n = 6038). The majority of patients at each location were female (>54%) and overweight/obese (>60%). Inter-location variabilities were noted in terms of age, race/ethnicity, exacerbation frequency, treatment pattern, and prevalence of comorbid conditions. Patients from the Colorado site experienced the lowest number of exacerbations per year while those from the New York site reported the highest number. Hypertension was the most common co-morbidity at 4 of 5 sites with the highest prevalence in New York. Depression was the most common co-morbidity in Ohio. Treatment patterns also varied by site; Colorado had the highest proportion of patients not on any treatment. ICS/LABA was the most commonly prescribed treatment except in Ohio, where ICS/LABA/LAMA was most common. Conclusions and Relevance: Our data show heterogeneity in demographic, clinical, and treatment characteristics of patients diagnosed with COPD who are managed in primary care across different healthcare organizations in the US.

Advancing the Patient EXperience (APEX) in COPD Registry: Study Design and Strengths.

The Advancing the Patient Experience (APEX) in Chronic Obstructive Pulmonary Disease (COPD) registry (https://www.apexcopd.org/) is the first primary care health system-based COPD registry in the United States. While its ultimate goal is to improve the care of patients diagnosed with COPD, the registry is also designed to describe real-life experiences of people with COPD, track key outcomes longitudinally, and assess the effectiveness of interventions. It will retrospectively and prospectively collect information from 3000 patients enrolled in 5 health care organizations. Information will be obtained from electronic health records, and from extended annual and brief questionnaires completed by patients before clinic visits. Core variables to be collected into the APEX COPD registry were agreed on by Delphi consensus and fall into 3 domains: demographics, COPD monitoring, and treatment. Main strengths of the registry include: 1) its size and scope (in terms of patient numbers, geographic spread and use of multiple information sources including patient-reported information); 2) collection of variables which are clinically relevant and practical to collect within primary care; 3) use of electronic data capture systems to ensure high-quality data and minimization of data-entry requirements; 4) inclusion of clinical, database development, management and communication experts; 5) regular sharing of key findings, both at international/national congresses and in peer-reviewed publications; and 6) a robust organizational structure to ensure continuance of the registry, and that research outputs are ethical, relevant and continue to bring value to both patients and physicians.

Development of the Advancing the Patient Experience in COPD Registry: A Modified Delphi Study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is commonly managed by family physicians, but little is known about specifics of management and how this may be improved. The Advancing the Patient Experience in COPD (APEX COPD) registry will be the first U.S. primary care, health system-based registry following patients diagnosed with COPD longitudinally, using a standardized set of variables to investigate how patients are managed in real life and assess outcomes of various management strategies. OBJECTIVE: Gaining expert consensus on a standardized list of variables to capture in the APEX COPD registry. METHODS: A modified, Delphi process was used to reach consensus on which data to collect in the registry from electronic health records (EHRs), patient-reported information (PRI) and patient-reported outcomes (PRO), and by physicians during subsequent office visits. The Delphi panel comprised 14 primary care and specialty COPD experts from the United States and internationally. The process consisted of 3 iterative rounds. Responses were collected electronically. RESULTS: Of the initial 195 variables considered, consensus was reached to include up to 115 EHR variables, 34 PRI/PRO variables and 5 office-visit variables in the APEX COPD registry. These should include information on symptom burden, diagnosis, COPD exacerbations, lung function, quality of life, comorbidities, smoking status/history, treatment specifics (including side effects), inhaler management, and patient education/self-management. CONCLUSION: COPD experts agreed upon the core variables to collect from EHR data and from patients to populate the APEX COPD registry. Data will eventually be integrated, standardized and stored in the APEX COPD database and used for approved COPD-related research.

Leveraging technology to promote smoking cessation in urban and rural primary care medical offices.

We examined the use of automated voice recognition (AVR) messages targeting smokers from primary care practices located in underserved urban and rural communities to promote smoking cessation. We partnered with urban and rural primary care medical offices (n = 7) interested in offering this service to patients. Current smokers, 18 years and older, who had completed an office visit within the previous 12 months, from these sites were used to create a smoker's registry. Smokers were recruited within an eight county region of western New York State between June 2012 and August 2013. Participants were contacted over six month intervals using the AVR system. Among 5812 smokers accrued 1899 (32%) were reached through the AVR system and 55% (n = 1049) continued to receive calls. Smokers with race other than white or African American were less likely to be reached (OR = 0.71, 0.57-0.90), while smokers ages 40 and over were more likely to be reached. Females (OR = 0.78, 0.65-0.95) and persons over age 40 years were less likely to opt out, while rural smokers were more likely to opt out (OR = 3.84, 3.01-4.90). Among those receiving AVR calls, 30% reported smoke free (self-reported abstinence over a 24 h period) at last contact; smokers from rural areas were more likely to report being smoke free (OR = 1.41, 1.01-1.97). An AVR-based smoking cessation intervention provided added value beyond typical tobacco cessation efforts available in these primary care offices. This intervention required no additional clinical staff time and served to satisfy a component of patient center medical home requirements for practices.

Meaningful use's benefits and burdens for US family physicians.

Objective: The federal meaningful use (MU) program was aimed at improving adoption and use of electronic health records, but practicing physicians have criticized it. This study was aimed at quantifying the benefits (ie, usefulness) and burdens (ie, workload) of the MU program for practicing family physicians. Materials and Methods: An interdisciplinary national panel of experts (physicians and engineers) identified the work associated with MU criteria during patient encounters. They conducted a national survey to assess each criterion's level of patient benefit and compliance burden. Results: In 2015, 480 US family physicians responded to the survey. Their demographics were comparable to US norms. Eighteen of 31 MU criteria were perceived as useful for more than half of patient encounters, with 13 of those being useful for more than two-thirds. Thirteen criteria were useful for less than half of patient encounters. Four useful criteria were reported as having a high compliance burden. Discussion: There was high variability in physicians' perceived benefits and burdens of MU criteria. MU Stage 1 criteria, which are more related to basic/routine care, were perceived as beneficial by most physicians. Stage 2 criteria, which are more related to complex and population care, were perceived as less beneficial and more burdensome to comply with. Conclusion: MU was discontinued, but the merit-based incentive payment system within the Medicare Access and CHIP Reauthorization Act of 2015 adopted its criteria. For many physicians, MU created a significant practice burden without clear benefits to patient care. This study suggests that policymakers should not assess MU in aggregate, but as individual criteria for open discussion.

Effect of 2 Clinical Decision Support Strategies on Chronic Kidney Disease Outcomes in Primary Care: A Cluster Randomized Trial.

Importance: Information is needed about optimal strategies to improve evidence-based treatment of chronic kidney disease (CKD) in primary care. Objective: To determine whether a multimodal intervention delays annualized loss of estimated glomerular filtration rate (eGFR) in stages 3 and 4 CKD. Design, Setting, and Participants: This pragmatic cluster randomized clinical trial enrolled 42 primary care practices located in nonhospital settings with electronic health record systems. Practices were recruited through the American Academy of Family Physicians National Research Network. The study was conducted January 2013 through January 2016. Interventions: Practices were randomized at the organization level to either the clinical decision support (CDS) plus practice facilitation (PF) group (n = 25) or CDS group (n = 17) using covariate constrained randomization. Both groups received point-of-care CDS to prompt screening, diagnosis, and treatment of CKD; the intervention group also received PF based on the 9-point TRANSLATE model (target, use point-of-care reminder systems, get administrative buy-in, network information systems using registries, site coordination, local physician champion, audit and feedback, team approach, and education). Main Outcomes and Measures: The primary outcome measure was eGFR over time. Secondary outcome measures were systolic blood pressure over time, change in hemoglobin A1c (HbA1c) over time, avoidance of nonsteroidal anti-inflammatory medications, use of angiotensin converting enzyme inhibitor or angiotensin-renin blocker medication, early recognition and diagnosis of CKD, blood pressure control, and smoking cessation. Results: In this cluster randomized trial of 30 primary care practices comprising 6699 patients, there were 1685 patients in the control group (10 practices) and 5014 patients in the intervention group (20 practices). The final sample of practices differed from the original set of randomized practices owing to dropout. Patients in the practices were similar at baseline for age (mean [SD], 71.3 [9.6] years), sex (2716 male [40.5%]), and eGFR. There was a significant difference in eGFR slopes for patients in the intervention vs control group practices. The mean (SE) annualized loss of eGFR was 0.95 (0.19) in the control group in propensity-adjusted longitudinal analyses and 0.01 (0.12) in the intervention group (mean [SE] difference in slopes, 0.93 [0.23]; P < .001). Among patients with HbA1c measures, slopes differed significantly for patients in intervention vs control practices, with a mean (SE) annualized increase of 0.14 (0.03) in HbA1c for patients in control practices and a mean (SE) decline of 0.009 (0.02) for patients in intervention practices. There was a significant difference in HbA1c slopes for patients in the intervention compared with control group practices (control vs intervention, -0.14; P < .001), but no difference in the other secondary outcomes. Conclusions and Relevance: A multimodal intervention in primary care, based on the TRANSLATE model, slowed annualized loss of eGFR. This study had several important strengths, weaknesses, and lessons learned regarding the implementation of pragmatic interventions in primary care to improve CKD outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT01767883.

Recruiting primary care practices for practice-based research: a case study of a group-randomized study (TRANSLATE CKD) recruitment process.

Background: We assessed the challenging process of recruiting primary care practices in a practice-based research study. Methods: In this descriptive case study of recruitment data collected for a large practice-based study (TRANSLATE CKD), 48 single or multiple-site health care organizations in the USA with a total of 114 practices were invited to participate. We collected quantitative and qualitative measures of recruitment process and outcomes for the first 25 practices recruited. Information about 13 additional practices is not provided due to staff transitions and limited data collection resources. Results: Initial outreach was made to 114 practices (from 48 organizations, 41% small); 52 (45%) practices responded with interest. Practices enrolled in the study (n = 25) represented 22% of the total outreach number, or 48% of those initially interested. Average time to enroll was 71 calendar days (range 11-107). There was no difference in the number of days practices remained under recruitment, based on enrolled versus not enrolled (44.8 ± 30.4 versus 46.8 ± 25.4 days, P = 0.86) or by the organization size, i.e. large versus small (defined by having ≤4 distinct practices; 52 ± 23.6 versus 43.6 ± 27.8 days; P = 0.46). The most common recruitment barriers were administrative, e.g. lack of perceived direct organizational benefit, and were more prominent among large organizations. Conclusions: Despite the general belief that the research topic, invitation method, and interest in research may facilitate practice recruitment, our results suggest that most of the recruitment challenges represent managerial challenges. Future research projects may need to consider relevant methodologies from businesses administration and marketing fields.

Extracting Deep Phenotypes for Chronic Kidney Disease Using Electronic Health Records.

INTRODUCTION: As chronic kidney disease (CKD) is among the most prevalent chronic diseases in the world with various rate of progression among patients, identifying its phenotypic subtypes is important for improving risk stratification and providing more targeted therapy and specific treatments for patients having different trajectories of the disease progression. PROBLEM DEFINITION AND DATA: The rapid growth and adoption of electronic health records (EHR) technology has created a unique opportunity to leverage the abundant clinical data, available as EHRs, to find meaningful phenotypic subtypes for CKD. In this study, we focus on extracting disease severity profiles for CKD while accounting for other confounding factors. PROBABILISTIC SUBTYPING MODEL: We employ a probabilistic model to identify precise phenotypes from EHR data of patients who have chronic kidney disease. Using this model, patient's eGFR trajectory is decomposed as a combination of four different components including disease subtype effect, covariate effect, individual long-term effect and individual short-term effect. EXPERIMENTAL RESULTS: The discovered disease subtypes obtained by Probabilistic Subtyping Model for CKD are presented and their clinical relevance is analyzed. DISCUSSION: Several clinical health markers that were found associated with disease subtypes are presented with suggestion for further investigation on their use as risk predictors. Several assumptions in the study are also clarified and discussed. CONCLUSION: The large dataset of EHRs can be used to identify deep phenotypes retrospectively. Directions for further expansion of the model are also discussed.

Integrating Social Determinants of Health into Primary Care Clinical and Informational Workflow during Care Transitions.

CONTEXT: Care continuity during transitions between the hospital and home requires reliable communication between providers and settings and an understanding of social determinants that influence recovery. CASE DESCRIPTION: The coordinating transitions intervention uses real time alerts, delivered directly to the primary care practice for complex chronically ill patients discharged from an acute care setting, to facilitate nurse care coordinator led telephone outreach. The intervention incorporates claims-based risk stratification to prioritize patients for follow-up and an assessment of social determinants of health using the Patient-centered Assessment Method (PCAM). Results from transitional care are stored and transmitted to qualified healthcare providers across the continuum. FINDINGS: Reliance on tools that incorporated interoperability standards facilitated exchange of health information between the hospital and primary care. The PCAM was incorporated into both the clinical and informational workflow through the collaboration of clinical, industry, and academic partners. Health outcomes improved at the study practice over their baseline and in comparison with control practices and the regional Medicaid population. MAJOR THEMES: Current research supports the potential impact of systems approaches to care coordination in improving utilization value after discharge. The project demonstrated that flexibility in developing the informational and clinical workflow was critical in developing a solution that improved continuity during transitions. There is additional work needed in developing managerial continuity across settings such as shared comprehensive care plans. CONCLUSIONS: New clinical and informational workflows which incorporate social determinant of health data into standard practice transformed clinical practice and improved outcomes for patients.

A Practice Facilitation and Academic Detailing Intervention Can Improve Cancer Screening Rates in Primary Care Safety Net Clinics.

BACKGROUND: Despite the current evidence of preventive screening effectiveness, rates of breast, cervical, and colorectal cancer in the United States fall below national targets. We evaluated the efficacy and feasibility of combining practice facilitation and academic detailing quality improvement (QI) strategies to help primary care practices increase breast, cervical, and colorectal cancer screening among patients. METHODS: Practices received a 1-hour academic detailing session addressing current cancer screening guidelines and best practices, followed by 6 months of practice facilitation to implement evidence-based interventions aimed at increasing patient screening. One-way repeated measures analysis of variance compared screening rates before and after the intervention, provider surveys, and TRANSLATE model scores. Qualitative data were gathered via participant focus groups and interviews. RESULTS: Twenty-three practices enrolled in the project: 4 federally qualified health centers, 10 practices affiliated with larger health systems, 4 physician-owned practices, 4 university hospital clinics, and 1 nonprofit clinic. Average screening rates for breast cancer increased by 13% (P = .001), and rates for colorectal cancer increased by 5.6% (P = .001). Practices implemented a mix of electronic health record data cleaning workflows, provider audits and feedback, reminder systems streamlining, and patient education and outreach interventions. Practice facilitators assisted practices in tailoring interventions to practice-specific priorities and constraints and in connecting with community resources. Practices with resource constraints benefited from the engagement of all levels of staff in the quality improvement processes and from team-based adaptations to office workflows and policies. Many practices aligned quality improvement interventions in this project with patient-centered medical home and other regulatory reporting targets. CONCLUSIONS: Combining practice facilitation and academic detailing is 1 method through which primary care practices can achieve systems-level changes to better manage patient population health.

Positive Predictive Value of a Single Assessment of Estimated GFR in the Diagnosis of Chronic Kidney Disease.

OBJECTIVES: The positive predictive value (PPV) of a single assessment of estimated glomerular filtration rate (eGFR) in the diagnosis of chronic kidney disease (CKD) is not known. Our objective was to determine the PPV of a single assessment of eGFR among adults with at least one eGFR <60 mL/min in their lifetime, using the Distributed Area Research and Therapeutics Network CKD natural history dataset. METHODS: In all, 47,104 adults who were cared for by 113 practices in the United States were included. Proportions of patients in eGFR categories at baseline were calculated using the following categories: <15 mL/min, 15 to 29.99 mL/min, 30 to 44.99 mL/min, and 45 to 59.99 mL/min. Comparisons were then made between the baseline and the endpoint to identify patients who had a follow-up eGFR that remained at <60 mL/min. The proportions of patients in each eGFR category were compared baseline to endpoint using cross-tabulations. To test the proposed cutpoint, the proportions of patients who had an eGFR that remained at <60 mL/min were measured, using the cutpoints that included the highest cumulative proportion of patients. The sensitivity and specificity of that cutpoint were calculated. RESULTS: A cutpoint of <45 mL/min was identified, yielding a PPV of 93% with a sensitivity of 28% and a specificity of 94%. CONCLUSIONS: A valid cutpoint to screen for CKD was identified. This cutpoint may prove important to early screening for CKD while reducing the burden on the healthcare system and patients suspected of having CKD.

Perspectives on Smoking Cessation in Northern Appalachia.

This study applies qualitative research methods to explore perspectives on cessation among smokers/former smokers recruited from an area of Northern Appalachia. Six focus groups, stratified by age group (18-39 years old and 40 years and older), were conducted among participants (n = 54) recruited from community settings. Participants described varied interest in and challenges with quitting smoking. Smokers 40 years and older more readily endorsed the health risks of smoking and had greater interest in quitting assistance. Participants expressed frustration with the US government for allowing a harmful product (e.g., cigarettes) to be promoted with minimal regulation. Use of social media was robust among both age groups; participants expressed limited interest in various social media/technology platforms for promoting smoking cessation. Findings from this understudied area of northern Appalachia reflect the heterogeneity of this region and contribute novel information about the beliefs, attitudes, and experiences of current and formers smokers with regard to cessation.

Chronic Kidney Disease Guideline Implementation in Primary Care: A Qualitative Report from the TRANSLATE CKD Study.

BACKGROUND: Primary care physicians (PCPs) are optimally situated to identify and manage early stage chronic kidney disease (CKD). Nonetheless, studies have documented suboptimal PCP understanding, awareness, and management of early CKD. The TRANSLATE CKD study is an ongoing national, mixed-methods, cluster randomized control trial that examines the implementation of evidence-based guidelines for CKD into primary care practice. METHODS: As part of the mixed-methods process evaluation, semistructured interviews were conducted by phone with 27 providers participating in the study. Interviews were audio-taped and transcribed. Thematic content analysis was used to identify themes. Themes were categorized according to the 4 domains of Normalization Process Theory (NPT). RESULTS: Identified themes illuminated the complex work undertaken to manage CKD in primary care practices. Barriers to guideline implementation were identified in each of the 4 NPT domains, including (1) lack of knowledge and understanding around CKD (coherence), (2) difficulties engaging providers and patients in CKD management (cognitive participation), (3) limited time and competing demands (collective action), and (4) challenges obtaining and using data to monitor progress (reflexive monitoring). CONCLUSIONS: Addressing the barriers to implementation with concrete interventions at the levels at which they occur, informed by NPT, will ultimately improve the quality of CKD patient care.

Health information technology needs help from primary care researchers.

While health information technology (HIT) efforts are beginning to yield measurable clinical benefits, more is needed to meet the needs of patients and clinicians. Primary care researchers are uniquely positioned to inform the evidence-based design and use of technology. Research strategies to ensure success include engaging patient and clinician stakeholders, working with existing practice-based research networks, and using established methods from other fields such as human factors engineering and implementation science. Policies are needed to help support primary care researchers in evaluating and implementing HIT into everyday practice, including expanded research funding, strengthened partnerships with vendors, open access to information systems, and support for the Primary Care Extension Program. Through these efforts, the goal of improved outcomes through HIT can be achieved.

Promoting Tobacco Cessation in a Community-Based Women's Health Centre.

OBJECTIVE: This report assesses the impact of a series of education sessions delivered to office staff on the delivery of smoking cessation services among patients seeking care at a community-based women's health center. METHODS: A quasi-experimental design was used to examine the delivery of smoking cessation services to patients in a medical office before and after office staff attended a series of 3 educational sessions intended to increase their knowledge and self-efficacy to address cessation. Delivery of smoking cessation services was documented through a systematic review of medical records using a structured abstraction form. RESULTS: While nearly all smokers (93%) were asked about smoking status at their last office visit, few smokers at baseline or follow-up were assessed for interest in setting a quit date or offered pharmacotherapy. Referrals to the smokers quit line increased from <1% at baseline to 8% at follow-up (p<0.001) and "any assistance" also showed a modest but significant increase (<1% baseline, 9% follow-up, p<0.001). CONCLUSION: This evaluation failed to identify clinical meaningful changes in the delivery of smoking cessation services in this women's health office before and after completion of a series of educational interventions for office staff. It is anticipated that the implementation of patient centered medical homes, and EMR systems, will help to enhance the delivery of smoking cessation services to women seeking medical care.