Offering transportation services to economically disadvantaged patients at a family health center: a case study.

It has been established that high no-show rates of publicly supported health systems in economically depressed areas are largely due to a lack of inexpensive, reliable transportation. The purpose of this paper is to determine the financial feasibility of offering transportation and investigate the net cost savings by reducing no-show rates. The approach starts with a data analysis on 636 patients at the Family Health Center (FHC) in San Antonio, Texas, followed by logistic regression to determine the impact of various transportation factors on cancellations/no-shows and late arrivals. We then investigate the costs savings that could be realised by reducing the no-show rate from 24.3% by up to 60%. Finally, we analyse the expenses that would be incurred should the FHC provide transportation. The full analysis indicates a cost reduction of more than $15,000 per month can be achieved when the no-show rate is reduced by 25% down to 18.2%.

Mediating role of physical activity in the relationship between exercise-induced muscle pain and symptom severity in women with fibromyalgia.

BACKGROUND: Individuals with fibromyalgia (FM) exhibit generalized hyperalgesia to pain stimuli, and physical activity (PA) is critical to manage FM symptoms. PURPOSE: This study examined the relationship between exercise-induced muscle pain, symptom severity, and PA in 28 women with FM. METHODS: Muscle pain rating (MPR) was assessed during 3 minutes of submaximal isometric handgrip exercise, whereas PA and symptom severity were evaluated via self-report questionnaires. The analysis examined the relationship between the variables, with the specific interest in the mediating role of PA in the relationship between exercise-induced muscle pain and symptom severity. RESULTS: MPR was positively associated with symptom severity (b = 1.89; 95% CI = 0.01, 3.76; P = .048) and inversely associated with PA levels (b = -0.16; 95% CI = -0.30, -0.03; P = .021). PA levels were inversely associated with symptom severity (b = -7.94; 95% CI = -12.46, -3.42; P = .001). After statistically controlling for PA levels, the relationship between MPR and symptom severity was no longer significant (b = 0.60; Wald 95% CI = -1.05, 2.25; P = .474). CONCLUSION: Results show the link between the variables, and specifically demonstrate that PA mediates the relationship between exercise-induced muscle pain and symptom severity.

Does improving indoor air quality lessen symptoms associated with chemical intolerance?

AIM: To determine whether environmental house calls that improved indoor air quality (IAQ) is effective in reducing symptoms of chemical intolerance (CI). BACKGROUND: Prevalence of CI is increasing worldwide. Those affected typically report symptoms such as headaches, fatigue, 'brain fog', and gastrointestinal problems - common primary care complaints. Substantial evidence suggests that improving IAQ may be helpful in reducing symptoms associated with CI. METHODS: Primary care clinic patients were invited to participate in a series of structured environmental house calls (EHCs). To qualify, participants were assessed for CI with the Quick Environmental Exposure and Sensitivity Inventory. Those with CI volunteered to allow the EHC team to visit their homes to collect air samples for volatile organic compounds (VOCs). Initial and post-intervention IAQ sampling was analyzed by an independent lab to determine VOC levels (ng/L). The team discussed indoor air exposures, their health effects, and provided guidance for reducing exposures. FINDINGS: Homes where recommendations were followed showed the greatest improvements in IAQ. The improvements were based upon decreased airborne VOCs associated with reduced use of cleaning chemicals, personal care products, and fragrances, and reduction in the index patients' symptoms. Symptom improvement generally was not reported among those whose homes showed no VOC improvement. CONCLUSION: Improvements in both IAQ and patients' symptoms occur when families implement an action plan developed and shared with them by a trained EHC team. Indoor air problems simply are not part of most doctors' differential diagnoses, despite relatively high prevalence rates of CI in primary care clinics. Our three-question screening questionnaire - the BREESI - can help physicians identify which patients should complete the QEESI. After identifying patients with CI, the practitioner can help by counseling them regarding their home exposures to VOCs. The future of clinical medicine could include environmental house calls as standard of practice for susceptible patients.

Validation of a Brief Screening Instrument for Chemical Intolerance in a Large U.S. National Sample.

BACKGROUND: Chemical intolerance (CI) is characterized by multisystem symptoms triggered by low levels of exposure to xenobiotics including chemicals, foods/food additives, and drugs/medications. Prior prevalence estimates vary from 8-33% worldwide. Clinicians and researchers need a brief, practical screening tool for identifying possible chemical intolerance. This large, population-based study describes the validation of a three-item screening questionnaire, the Brief Environmental Exposure and Sensitivity Inventory (BREESI), against the international reference standard used for assessing chemical intolerance, the Quick Environmental Exposure and Sensitivity Inventory (QEESI). METHODS: More than 10,000 people in the U.S. responded to the BREESI and the QEESI in a population-based survey. We calculated the overall prevalence of CI in this sample, as well as by gender, age, and income. Common statistical metrics were used to evaluate the BREESI as a screener for CI against the QEESI. RESULTS: The prevalence estimate for QEESI-defined chemical intolerance in the U.S. was 20.39% (95% CI 19.63-21.15%). The BREESI had 91.26% sensitivity (95% CI: 89.20-93.04%) and 92.89% specificity (95% CI: 91.77-93.90%). The positive likelihood ratio was 12.83 (95% CI: 11.07-14.88), and the negative likelihood ratio was 0.09 (95% CI: 0.08-0.12). Logistic regression demonstrates that the predicted probability of CI increased sharply with each increase in the number of BREESI items endorsed (Odds Ratio: 5.3, 95% CI: 4.90-5.75). CONCLUSIONS: Chemical intolerance may affect one in five people in the U.S. The BREESI is a new, practical instrument for researchers, clinicians, and epidemiologists. As a screening tool, the BREESI offers a high degree of confidence in case ascertainment. We recommend: screen with the BREESI, confirm with the QEESI.

Three questions for identifying chemically intolerant individuals in clinical and epidemiological populations: The Brief Environmental Exposure and Sensitivity Inventory (BREESI).

The Quick Environmental Exposure and Sensitivity Inventory (QEESI) is a validated questionnaire used worldwide to assess intolerances to chemicals, foods, and drugs, and has emerged as the gold standard for assessing chemical intolerance (CI). Despite a reported prevalence of 8-33%, epidemiological studies and routine primary care clinics rarely assess CI. To help address this gap, we developed the Brief Environmental Exposure and Sensitivity Inventory (BREESI)-a 3-item CI screening tool. We tested the BREESI's potential to predict whether an individual is likely to be classified as chemically intolerant if administered the 50-item QEESI. We recruited 293 participants from a university-based primary care clinic and through online participation. The statistical sensitivity, specificity, and positive and negative predictive values of the BREESI were calculated against the validated QEESI. Ninety percent (90%) of participants answering "yes" to all three items on the BREESI fit the QEESI criteria for being very suggestive of CI based upon their chemical intolerance and symptom scores (positive predictive value = 90%). For participants endorsing two items, 93% were classified as either very suggestive (39%) or suggestive (54%) of CI (positive predictive value = 87%). Of those endorsing only one item, 13% were classified as very suggestive of CI, and 70% as suggestive. Of those answering "No" to all of the BREESI items, 95% were classified as not suggestive of CI (i.e., negative predictive value = 95%). The BREESI is a versatile screening tool for assessing potential CI useful for clinical and epidemiological applications, based upon individuals' past adverse responses in a variety of settings. Just as health care professionals routinely inquire about latex allergy to prevent adverse reactions, the BREESI provides an essential screen for CI. Together, the BREESI and QEESI provide new diagnostic tools that may help predict and prevent future adverse reactions to chemicals, foods, and drugs.

Measuring interdependence in ambulatory care.

RATIONALE, AIMS AND OBJECTIVES: Complex systems differ from complicated systems in that they are nonlinear, unpredictable and lacking clear cause-and-effect relationships, largely due to the interdependence of their components (effects of interconnectedness on system behaviour and consequences). The purpose of this study was to demonstrate the potential for network density to serve as a measure of interdependence, assess its concurrent validity and test whether the use of valued or binary ties yields better results. METHOD: This secondary analysis used the 2010 National Ambulatory Care Medical Survey to assess interdependence of 'top 20' diagnoses seen and medications prescribed for 14 specialties. The degree of interdependence was measured as the level of association between diagnoses and drug interactions among medications. Both valued and binary network densities were computed for each specialty. To assess concurrent validity, these measures were correlated with previously-derived valid measures of complexity of care using the same database, adjusting for diagnosis and medication diversity. RESULTS: Partial correlations between diagnosis density, and both diagnosis and total input complexity, were significant, as were those between medication density and both medication and total output complexity; for both diagnosis and medication densities, adjusted correlations were higher for binary rather than valued densities. CONCLUSION: This study demonstrated the feasibility and validity of using network density as a measure of interdependence. When adjusted for measure diversity, density-complexity correlations were significant and higher for binary than valued density. This approach complements other methods of estimating complexity of care and may be applicable to unique settings.

Maternal Chemical and Drug Intolerances: Potential Risk Factors for Autism and Attention Deficit Hyperactivity Disorder (ADHD).

PURPOSE: The aim of this study was to assess whether chemically intolerant women are at greater risk for having a child with autism spectrum disorders (ASD) or attention deficit hyperactivity disorder (ADHD). METHODS: We conducted a case-control study of chemical intolerance among mothers of children with ASD (n = 282) or ADHD (n = 258) and children without these disorders (n = 154). Mothers participated in an online survey consisting of a validated chemical intolerance screening instrument, the Quick Environmental Exposure and Sensitivity Inventory (QEESI). Cases and controls were characterized by parental report of a professional diagnosis. We used a one-way, unbalanced analysis of variance to compare means across the 3 groups. RESULTS: Both mothers of children with ASD or ADHD had significantly higher mean chemical intolerance scores than did mothers of controls, and they were more likely to report adverse reactions to drugs. Chemically intolerant mothers were 3 times more likely (odds ratio, 3.01; 95% confidence interval, 1.50-6.02) to report having a child with autism or 2.3 times more likely (odds ratio, 2.3; 95% confidence interval, 1.12-5.04) to report a child with ADHD. Relative to controls, these mothers report their children are more prone to allergies (P < .02), have strong food preferences or cravings (P < .003), and have greater sensitivity to noxious odors (P < .04). CONCLUSION: These findings suggest a potential association between maternal chemical intolerance and a diagnosis of ADHD or ASD in their offspring.

Coaching strategies for enhancing practice transformation.

BACKGROUND: Current research on primary care practice redesign suggests that outside facilitation can be an important source of support for achieving substantial change. OBJECTIVES: To analyse the specific sequence of strategies used by a successful practice facilitator during the American Academy of Family Physicians' (AAFP) National Demonstration Project (NDP). METHODS: This secondary analysis describes a sequence of strategies used to produce change in family medicine practices attempting to adopt a new model of care. The authors analysed qualitative data generated by one facilitator and six practices by coding facilitator field notes, site visit reports, qualitative summaries, depth interviews and email strings. RESULTS: The facilitator utilized practice member coaching in addition to consulting, negotiating and connecting approaches. Coaching strategies encouraged: (i) expansive, multi-directional, attentive styles of communication; (ii) solving practical problems together; (iii) modelling facilitative leadership and (iv) encouraging an expanded vision of care. Practice members who received consistent coaching reported internal shifts and new ways of conceptualizing work, not just success at implementing model components. They indicated that their facilitator had helped them think and behave in new ways while helping them achieve benchmarks. CONCLUSIONS: It was once believed that the transition from traditional models of family medicine practice to new models of care meant implementing new technological components, suggesting that outside facilitators should act as technological and care delivery consultants. However, coaches may be especially useful in helpful in practices undertake substantial changes.

A typology of primary care workforce innovations in the United States since 2000.

PURPOSE: Innovative workforce models are being developed and implemented to meet the changing demands of primary care. A literature review was conducted to construct a typology of workforce models used by primary care practices. METHODS: Ovid Medline, CINAHL, and PsycInfo were used to identify published descriptions of the primary care workforce that deviated from what would be expected in the typical practice in the year 2000. Expert consultants identified additional articles that would not show up in a regular computerized search. Full texts of relevant articles were read and matrices for sorting articles were developed. Each article was reviewed and assigned to one of 18 cells in the matrices. Articles within each cell were then read again to identify patterns and develop an understanding of the full spectrum of workforce innovation within each category. RESULTS: This synthesis led to the development of a typology of workforce innovations represented in the literature. Many workforce innovations added personnel to existing practices, whereas others sought to retrain existing personnel or even develop roles outside the traditional practice. Most of these sought to minimize the impact on the existing practice roles and functions, particularly that of physicians. The synthesis also identified recent innovations which attempted to fundamentally transform the existing practice, with transformation being defined as a change in practice members' governing variables or values in regard to their workforce role. CONCLUSIONS: Most conceptualizations of the primary care workforce described in the literature do not reflect the level of innovation needed to meet the needs of the burgeoning numbers of patients with complex health issues, the necessity for roles and identities of physicians to change, and the call for fundamentally redesigned practices. However, we identified 5 key workforce innovation concepts that emerged from the literature: team care, population focus, additional resource support, creating workforce connections, and role change.

A small percentage of family physicians report time devoted to research.

Despite calls by family medicine organizations to build research capacity within the discipline, few family physicians report research activity. Policy that supports efforts in family medicine research and increases awareness of opportunities for primary care research in the practice setting is essential for family medicine to expand its scholarly foundations.

Electronic health record impact on work burden in small, unaffiliated, community-based primary care practices.

BACKGROUND: The use of electronic health records (EHR) is widely recommended as a means to improve the quality, safety and efficiency of US healthcare. Relatively little is known, however, about how implementation and use of this technology affects the work of clinicians and support staff who provide primary health care in small, independent practices. OBJECTIVE: To study the impact of EHR use on clinician and staff work burden in small, community-based primary care practices. DESIGN: We conducted in-depth field research in seven community-based primary care practices. A team of field researchers spent 9-14 days over a 4-8 week period observing work in each practice, following patients through the practices, conducting interviews with key informants, and collecting documents and photographs. Field research data were coded and analyzed by a multidisciplinary research team, using a grounded theory approach. PARTICIPANTS: All practice members and selected patients in seven community-based primary care practices in the Northeastern US. KEY RESULTS: The impact of EHR use on work burden differed for clinicians compared to support staff. EHR use reduced both clerical and clinical staff work burden by improving how they check in and room patients, how they chart their work, and how they communicate with both patients and providers. In contrast, EHR use reduced some clinician work (i.e., prescribing, some lab-related tasks, and communication within the office), while increasing other work (i.e., charting, chronic disease and preventive care tasks, and some lab-related tasks). Thoughtful implementation and strategic workflow redesign can mitigate the disproportionate EHR-related work burden for clinicians, as well as facilitate population-based care. CONCLUSIONS: The complex needs of the primary care clinician should be understood and considered as the next iteration of EHR systems are developed and implemented.

Engagement of family physicians in Maintenance of Certification remains high.

Maintenance of Certification for Family Physicians was created to enhance the quality of care delivered by family physicians but risked decreasing their engagement due to the increased burden of meeting additional requirements to remain board-certified. Participation by family physicians in Maintenance of Certification remains higher than predicted.

Defining and measuring the patient-centered medical home.

The patient-centered medical home (PCMH) is four things: 1) the fundamental tenets of primary care: first contact access, comprehensiveness, integration/coordination, and relationships involving sustained partnership; 2) new ways of organizing practice; 3) development of practices' internal capabilities, and 4) related health care system and reimbursement changes. All of these are focused on improving the health of whole people, families, communities and populations, and on increasing the value of healthcare. The value of the fundamental tenets of primary care is well established. This value includes higher health care quality, better whole-person and population health, lower cost and reduced inequalities compared to healthcare systems not based on primary care. The needed practice organizational and health care system change aspects of the PCMH are still evolving in highly related ways. The PCMH will continue to evolve as evidence comes in from hundreds of demonstrations and experiments ongoing around the country, and as the local and larger healthcare systems change. Measuring the PCMH involves the following: Giving primacy to the core tenets of primary care. Assessing practice and system changes that are hypothesized to provide added value Assessing development of practices' core processes and adaptive reserve. Assessing integration with more functional healthcare system and community resources. Evaluating the potential for unintended negative consequences from valuing the more easily measured instrumental features of the PCMH over the fundamental relationship and whole system aspects. Recognizing that since a fundamental benefit of primary care is its adaptability to diverse people, populations and systems, functional PCMHs will look different in different settings. Efforts to transform practice to patient-centered medical homes must recognize, assess and value the fundamental features of primary care that provide personalized, equitable health care and foster individual and population health.

COGME's 16th Report to Congress: too many physicians could be worse than wasted.

Departing from past reports, the latest Council on Graduate Medical Education (COGME) report warns of a physician deficit of 85,000 by 2020 and recommends increases in medical school and residency output. COGME notes that contributions of other clinicians and changes in how medical care is delivered in the future would likely offset physician deficits but chose not to modify their recommendations. COGME offers a relatively minor workforce correction in an otherwise flawed system of health care; however, the nation awaits a reassessment of its physician workforce based on what the nation wants and needs from physicians working in modern systems of care. Great caution should be exercised in expanding the physician workforce. Producing a physician surplus could be far worse than wasted, because the investment required and resulting rise in health care cost may harm, not help, the health of people in the United States. Instead, these resources could be applied in ways that improve health.

Self-report and primary care medical record documentation of mammography and Pap smear utilization among low-income women.

PURPOSE: To determine whether self-report of mammography and Pap smear utilization was accurate and to determine whether racial/ethnic differences existed. METHODS: Face-to-face surveys were administered to 314 consecutively selected women over 40 attending two low-income inner-city family practice sites. Medical records were reviewed for documentation of mammography and Pap smear utilization. Level of agreement between self-report and chart review was reported. Sensitivity, specificity, positive predictive value and negative predictive value were calculated. MAIN FINDINGS: Puerto Rican women had lower income levels and were less educated than African-American and non-Latina white women. Self-report of mammograms and Pap smears were higher than medical record documentation. Level of agreement was higher for more recent tests. Negative predictive values for mammography were high (75-95.5%). Lower sensitivity, specificity, positive predictive value and negative predictive value for mammography were seen among Puerto Rican women compared to African-American and non-Latina white women. CONCLUSIONS: High negative predictive values suggest that asking women about mammography use may be an inexpensive, easy intervention in the primary care setting to increase screening among women currently not being screened by increasing conversations between patients and providers to address personal barriers to screening.

A practice change model for quality improvement in primary care practice.

Faced with a rapidly changing healthcare environment, primary care practices often have to change how they practice medicine. Yet change is difficult, and the process by which practice improvement can be understood and facilitated has not been well elucidated. Therefore, we developed a model of practice change using data from a quality improvement intervention that was successful in creating a sustainable practice improvement. A multidisciplinary team evaluated data from the Study To Enhance Prevention by Understanding Practice (STEP-UP), a randomized clinical trial conducted to improve the delivery of evidence-based preventive services in 79 northeastern Ohio practices. The team conducted comparative case-study analyses of high- and low-improvement practices to identify variables that are critical to the change process and to create a conceptual model for the change. The model depicts the critical elements for understanding and guiding practice change and emphasizes the importance of these elements' evolving interrelationships. These elements are (1) motivation of key stakeholders to achieve the target for change; (2) instrumental, personal, and interactive resources for change; (3) motivators outside the practice, including the larger healthcare environment and community; and (4) opportunities for change--that is, how key stakeholders understand the change options. Change is influenced by the complex interaction of factors inside and outside the practice. Interventions that are based on understanding the four key elements and their interrelationships can yield sustainable quality improvements in primary care practice.

Addressing the unique challenges of inner-city practice: a direct observation study of inner-city, rural, and suburban family practices.

Previous research on geographic variations in health care contains limited information regarding inner-city medical practice compared with suburban and rural settings. Our main objective was to compare patient characteristics and the process of providing medical care among family practices in inner-city, suburban, and rural locations. A cross-sectional multimethod study was conducted emphasizing direct observation of outpatient visits by trained research nurses involving 4,454 consecutive patients presenting for outpatient care to 138 family physicians during 2 days of observation at 84 community family practices in northeast Ohio. Time use during office visits was assessed with the Davis Observation Code; satisfaction was measured with the Medical Outcomes Study nine-item Visit Rating Scale; delivery of preventive services was as recommended by the US Preventive Services Task Force; and patient-reported domains of primary care were assessed with the Components of Primary Care Instrument. Results show that inner-city patients had more chronic medical problems, more emotional problems, more problems evaluated per visit, higher rates of health habit counseling, and longer and more frequent office visits. Rural patients were older, more likely to be established with the same physician, and had higher rates of satisfaction and patient-reported physician knowledge of the patient. Suburban patients were younger, had fewer chronic medical problems, and took fewer medications chronically. Inner-city family physicians in northeast Ohio appear to see a more challenging patient population than their rural and suburban counterparts and have more complex outpatient office visits. These findings have implications for health system organization along with the reimbursement and recruitment of physicians in medically underserved inner-city areas.