Relationship between Telework Experience and Presenteeism during COVID-19 Pandemic, United States, March-November 2020.

Persons with COVID-19-like illnesses are advised to stay home to reduce the spread of SARS-CoV-2. We assessed relationships between telework experience and COVID-19 illness with work attendance when ill. Adults experiencing fever, cough, or loss of taste or smell who sought healthcare or COVID-19 testing in the United States during March-November 2020 were enrolled. Adults with telework experience before illness were more likely to work at all (onsite or remotely) during illness (87.8%) than those with no telework experience (49.9%) (adjusted odds ratio 5.48, 95% CI 3.40-8.83). COVID-19 case-patients were less likely to work onsite (22.1%) than were persons with other acute respiratory illnesses (37.3%) (adjusted odds ratio 0.36, 95% CI 0.24-0.53). Among COVID-19 case-patients with telework experience, only 6.5% worked onsite during illness. Telework experience before illness gave mildly ill workers the option to work and improved compliance with public health recommendations to stay home during illness.

Interim Estimates of 2021-22 Seasonal Influenza Vaccine Effectiveness - United States, February 2022.

In the United States, annual vaccination against seasonal influenza is recommended for all persons aged ≥6 months except when contraindicated (1). Currently available influenza vaccines are designed to protect against four influenza viruses: A(H1N1)pdm09 (the 2009 pandemic virus), A(H3N2), B/Victoria lineage, and B/Yamagata lineage. Most influenza viruses detected this season have been A(H3N2) (2). With the exception of the 2020-21 season, when data were insufficient to generate an estimate, CDC has estimated the effectiveness of seasonal influenza vaccine at preventing laboratory-confirmed, mild/moderate (outpatient) medically attended acute respiratory infection (ARI) each season since 2004-05. This interim report uses data from 3,636 children and adults with ARI enrolled in the U.S. Influenza Vaccine Effectiveness Network during October 4, 2021-February 12, 2022. Overall, vaccine effectiveness (VE) against medically attended outpatient ARI associated with influenza A(H3N2) virus was 16% (95% CI = -16% to 39%), which is considered not statistically significant. This analysis indicates that influenza vaccination did not reduce the risk for outpatient medically attended illness with influenza A(H3N2) viruses that predominated so far this season. Enrollment was insufficient to generate reliable VE estimates by age group or by type of influenza vaccine product (1). CDC recommends influenza antiviral medications as an adjunct to vaccination; the potential public health benefit of antiviral medications is magnified in the context of reduced influenza VE. CDC routinely recommends that health care providers continue to administer influenza vaccine to persons aged ≥6 months as long as influenza viruses are circulating, even when VE against one virus is reduced, because vaccine can prevent serious outcomes (e.g., hospitalization, intensive care unit (ICU) admission, or death) that are associated with influenza A(H3N2) virus infection and might protect against other influenza viruses that could circulate later in the season.

Influenza vaccination coverage among persons seeking outpatient medical care for acute respiratory illness in five states in the United States, 2011-2012 through 2018-2019.

BACKGROUND: In the United States (U.S.), annual influenza vaccination has been recommended for all persons aged ≥6 months with the Healthy People 2020 coverage target of 70%. However, vaccination coverage has remained around 42-49% during the past eight influenza seasons. We sought to quantify influenza vaccination coverage and factors associated with vaccination in persons seeking outpatient medical care for an acute respiratory illness (ARI). METHODS: We enrolled outpatients aged ≥6 months with ARI from >50 U.S. clinics from 2011 to 2012 through 2018-2019 influenza seasons and tested for influenza with molecular assays. Vaccination status was based on documented receipt of the current season's influenza vaccine. We estimated vaccination coverage among influenza-negative study participants by study site, age, and season, and compared to state-level influenza coverage estimates in the general population based on annual immunization surveys. We used multivariable logistic regression to examine factors independently associated with receipt of influenza vaccines. RESULTS: We enrolled 45,424 study participants with ARI who tested negative for influenza during the study period. Annual vaccination coverage among influenza-negative ARI patients and the general population in the participating states averaged 55% (range: 47-62%), and 52% (range: 46-54%), respectively. Among enrollees, coverage was highest among adults aged ≥65 years (82%; range, 80-85%) and lowest among adolescents aged 13-17 years (38%; range, 35-41%). Factors significantly associated with non-vaccination included non-White race, no college degree, exposure to cigarette smoke, absence of high-risk conditions, and not receiving prior season influenza vaccine. CONCLUSIONS: Influenza vaccination coverage over eight seasons among outpatients with non-influenza respiratory illness was slightly higher than coverage in the general population but 15% lower than national targets. Increased efforts to promote vaccination especially in groups with lower coverage are warranted to attain optimal health benefits of influenza vaccine.

Effectiveness of Trivalent and Quadrivalent Inactivated Vaccines Against Influenza B in the United States, 2011-2012 to 2016-2017.

BACKGROUND: Since 2013, quadrivalent influenza vaccines containing 2 B viruses gradually replaced trivalent vaccines in the United States. We compared the vaccine effectiveness of quadrivalent to trivalent inactivated vaccines (IIV4 to IIV3, respectively) against illness due to influenza B during the transition, when IIV4 use increased rapidly. METHODS: The US Influenza Vaccine Effectiveness (Flu VE) Network analyzed 25 019 of 42 600 outpatients aged ≥6 months who enrolled within 7 days of illness onset during 6 seasons from 2011-2012. Upper respiratory specimens were tested for the influenza virus type and B lineage. Using logistic regression, we estimated IIV4 or IIV3 effectiveness by comparing the odds of an influenza B infection overall and the odds of B lineage among vaccinated versus unvaccinated participants. Over 4 seasons from 2013-2014, we compared the relative odds of an influenza B infection among IIV4 versus IIV3 recipients. RESULTS: Trivalent vaccines included the predominantly circulating B lineage in 4 of 6 seasons. During 4 influenza seasons when both IIV4 and IIV3 were widely used, the overall effectiveness against any influenza B was 53% (95% confidence interval [CI], 45-59) for IIV4 versus 45% (95% CI, 34-54) for IIV3. IIV4 was more effective than IIV3 against the B lineage not included in IIV3, but comparative effectiveness against illnesses related to any influenza B favored neither vaccine valency. CONCLUSIONS: The uptake of quadrivalent inactivated influenza vaccines was not associated with increased protection against any influenza B illness, despite the higher effectiveness of quadrivalent vaccines against the added B virus lineage. Public health impact and cost-benefit analyses are needed globally.

Quality improvement initiative for pain management practices in primary care.

In the context of both chronic pain and opioid crises, this large-system quality improvement project sought to increase use of evidence-based multimodal pain management strategies. Primary care providers (PCPs) in internal medicine and family medicine identified as above-median prescribers of 30-day opioid supplies were selected for intervention. PCPs received individualized email letters showing their opioid prescribing patterns relative to peers and urging them to view an internal pain/opioid educational video and related system guidelines. The median number of patients receiving 30-day opioid supplies from our target PCPs decreased over a 24-month period. For cohort patients identified at baseline and remaining in treatment over time, those receiving opioid prescriptions decreased, and those receiving nonopioid prescriptions increased. Percentages of PCPs prescribing nonopioids for cohort patients increased over the first year and nonpharmacologic referrals increased in range. Our evidence suggests that PCPs who are higher opioid prescribers will change their practices voluntarily when given feedback about their opioid prescribing patterns relative to their peers, as well as education regarding evidence-based pain management and opioid prescribing.

Spread of Antigenically Drifted Influenza A(H3N2) Viruses and Vaccine Effectiveness in the United States During the 2018-2019 Season.

BACKGROUND: Increased illness due to antigenically drifted A(H3N2) clade 3C.3a influenza viruses prompted concerns about vaccine effectiveness (VE) and vaccine strain selection. We used US virologic surveillance and US Influenza Vaccine Effectiveness (Flu VE) Network data to evaluate consequences of this clade. METHODS: Distribution of influenza viruses was described using virologic surveillance data. The Flu VE Network enrolled ambulatory care patients aged ≥6 months with acute respiratory illness at 5 sites. Respiratory specimens were tested for influenza by means of reverse-transcriptase polymerase chain reaction and were sequenced. Using a test-negative design, we estimated VE, comparing the odds of influenza among vaccinated versus unvaccinated participants. RESULTS: During the 2018-2019 influenza season, A(H3N2) clade 3C.3a viruses caused an increasing proportion of influenza cases. Among 2763 Flu VE Network case patients, 1325 (48%) were infected with A(H1N1)pdm09 and 1350 (49%) with A(H3N2); clade 3C.3a accounted for 977 (93%) of 1054 sequenced A(H3N2) viruses. VE was 44% (95% confidence interval, 37%-51%) against A(H1N1)pdm09 and 9% (-4% to 20%) against A(H3N2); VE was 5% (-10% to 19%) against A(H3N2) clade 3C.3a viruses. CONCLUSIONS: The predominance of A(H3N2) clade 3C.3a viruses during the latter part of the 2018-2019 season was associated with decreased VE, supporting the A(H3N2) vaccine component update for 2019-2020 northern hemisphere influenza vaccines.

Identifying self-reported neurocognitive deficits in the adult with congenital heart disease using a simple screening tool.

OBJECTIVE: Children with congenital heart disease (CHD) and adults with acquired heart disease are at an increased risk of neurocognitive impairment. The objective of this study was to determine the prevalence of self-reported neurocognitive impairment and its risk factors in the adult congenital heart disease (ACHD) population. DESIGN: The Wisconsin Adult Congenital Heart Disease Program recently began screening ACHD patients to identify those with significant self-perceived neurocognitive impairments. Screening consists of using a validated neuro-oncology screening instrument that has been modified for the ACHD population. Patients who answer this survey in a predetermined fashion consistent with significant self-perceived neurocognitive deficits are referred for a formal neurocognitive evaluation. Demographic and clinical information are obtained by chart review. RESULTS: Three hundred ten patients (49% males) completed the screening process. The average age was 30 years (range: 17-69 years). For the cohort, 57 (18%) patients had no prior cardiac surgeries, 85 (28%) one surgery, 77 (25%) two, and 91 (29%) at least three surgeries. Of those screened, 106 (34%) met criteria for a formal neurocognitive evaluation. Patients who were referred had undergone a greater number of prior cardiac surgeries (2.2 vs 1.7, P = .008) and were more likely to have severe complexity CHD (P = .006). Of those patients who were referred, the worst perceived functioning was in math and attention. CONCLUSION: There is a high prevalence of ACHD patients with significant self-perceived neurocognitive deficits. Simple screening questionnaires may help identify those patients at high risk and allow for timely and appropriate referral for formal neurocognitive evaluation, diagnosis, and therapy.

Influenza Antiviral Prescribing for Outpatients With an Acute Respiratory Illness and at High Risk for Influenza-Associated Complications During 5 Influenza Seasons-United States, 2011-2016.

Background: Influenza causes millions of illnesses annually; certain groups are at higher risk for complications. Early antiviral treatment can reduce the risk of complications and is recommended for outpatients at increased risk. We describe antiviral prescribing among high-risk outpatients for 5 influenza seasons and explore factors that may influence prescribing. Methods: We analyzed antiviral prescription and clinical data for high-risk outpatients aged ≥6 months with an acute respiratory illness (ARI) and enrolled in the US Influenza Vaccine Effectiveness Network during the 2011-2012 through 2015-2016 influenza seasons. We obtained clinical information from interviews and electronic medical records and tested all enrollees for influenza with real-time reverse-transcription polymerase chain reaction (rRT-PCR). We calculated the number of patients with ARI that must be treated to treat 1 patient with influenza. Results: Among high-risk outpatients with ARI who presented to care within 2 days of symptom onset (early), 15% (718/4861) were prescribed an antiviral medication, including 472 of 1292 (37%) of those with rRT-PCR-confirmed influenza. Forty percent of high-risk outpatients with influenza presented to care early. Earlier presentation was associated with antiviral treatment (odds ratio [OR], 4.1; 95% confidence interval [CI], 3.5-4.8), as was fever (OR, 3.2; 95% CI, 2.7-3.8), although 25% of high-risk outpatients with influenza were afebrile. Empiric treatment of 4 high-risk outpatients with ARI was needed to treat 1 patient with influenza. Conclusions: Influenza antiviral medications were infrequently prescribed for high-risk outpatients with ARI who would benefit most. Efforts to increase appropriate antiviral prescribing are needed to reduce influenza-associated complications.

A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Most older adults do not adhere to the US Centers for Disease Control physical activity guidelines; their physical inactivity contributes to overweight and multiple chronic conditions. An urgent need exists for effective physical activity-promotion programs for the large number of older adults in the United States. OBJECTIVE: This study presents the development of the intervention and trial protocol of iCanFit 2.0, a multi-level, mobile-enabled, physical activity-promotion program developed for overweight older adults in primary care settings. METHODS: The iCanFit 2.0 program was developed based on our prior mHealth intervention programs, qualitative interviews with older patients in a primary care clinic, and iterative discussions with key stakeholders. We will test the efficacy of iCanFit 2.0 through a cluster randomized controlled trial in six pairs of primary care clinics. RESULTS: The proposed protocol received a high score in a National Institutes of Health review, but was not funded due to limited funding sources. We are seeking other funding sources to conduct the project. CONCLUSIONS: The iCanFit 2.0 program is one of the first multi-level, mobile-enabled, physical activity-promotion programs for older adults in a primary care setting. The development process has actively involved older patients and other key stakeholders. The patients, primary care providers, health coaches, and family and friends were engaged in the program using a low-cost, off-the-shelf mobile tool. Such low-cost, multi-level programs can potentially address the high prevalence of physical inactivity in older adults.

Review of behavioral health integration in primary care at Baylor Scott and White Healthcare, Central Region.

The integration of behavioral health services in primary care has been referred to in many ways, but ultimately refers to common structures and processes. Behavioral health is integrated into primary care because it increases the effectiveness and efficiency of providing care and reduces costs in the care of primary care patients. Reimbursement is one factor, if not the main factor, that determines the level of integration that can be achieved. The federal health reform agenda supports changes that will eventually permit behavioral health to be fully integrated and will allow the health of the population to be the primary target of intervention. In an effort to develop more integrated services at Baylor Scott and White Healthcare, models of integration are reviewed and the advantages and disadvantages of each model are discussed. Recommendations to increase integration include adopting a disease management model with care management, planned guideline-based stepped care, follow-up, and treatment monitoring. Population-based interventions can be completed at the pace of the development of alternative reimbursement methods. The program should be based upon patient-centered medical home standards, and research is needed throughout the program development process.

Influenza Vaccine Effectiveness Against 2009 Pandemic Influenza A(H1N1) Virus Differed by Vaccine Type During 2013-2014 in the United States.

BACKGROUND: The predominant strain during the 2013-2014 influenza season was 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09). This vaccine-component has remained unchanged from 2009. METHODS: The US Flu Vaccine Effectiveness Network enrolled subjects aged ≥6 months with medically attended acute respiratory illness (MAARI), including cough, with illness onset ≤7 days before enrollment. Influenza was confirmed by reverse-transcription polymerase chain reaction (RT-PCR). We determined the effectiveness of trivalent or quadrivalent inactivated influenza vaccine (IIV) among subjects ages ≥6 months and the effectiveness of quadrivalent live attenuated influenza vaccine (LAIV4) among children aged 2-17 years, using a test-negative design. The effect of prior receipt of any A(H1N1)pdm09-containing vaccine since 2009 on the effectiveness of current-season vaccine was assessed. RESULTS: We enrolled 5999 subjects; 5637 (94%) were analyzed; 18% had RT-PCR-confirmed A(H1N1)pdm09-related MAARI. Overall, the effectiveness of vaccine against A(H1N1)pdm09-related MAARI was 54% (95% confidence interval [CI], 46%-61%). Among fully vaccinated children aged 2-17 years, the effectiveness of LAIV4 was 17% (95% CI, -39% to 51%) and the effectiveness of IIV was 60% (95% CI, 36%-74%). Subjects aged ≥9 years showed significant residual protection of any prior A(H1N1)pdm09-containing vaccine dose(s) received since 2009, as did children <9 years old considered fully vaccinated by prior season. CONCLUSIONS: During 2013-2014, IIV was significantly effective against A(H1N1)pdm09. Lack of LAIV4 effectiveness in children highlights the importance of continued annual monitoring of effectiveness of influenza vaccines in the United States.

Using the eServices platform for detecting behavior patterns deviation in the elderly assisted living: a case study.

World's aging population is rising and the elderly are increasingly isolated socially and geographically. As a consequence, in many situations, they need assistance that is not granted in time. In this paper, we present a solution that follows the CRISP-DM methodology to detect the elderly's behavior pattern deviations that may indicate possible risk situations. To obtain these patterns, many variables are aggregated to ensure the alert system reliability and minimize eventual false positive alert situations. These variables comprehend information provided by body area network (BAN), by environment sensors, and also by the elderly's interaction in a service provider platform, called eServices--Elderly Support Service Platform. eServices is a scalable platform aggregating a service ecosystem developed specially for elderly people. This pattern recognition will further activate the adequate response. With the system evolution, it will learn to predict potential danger situations for a specified user, acting preventively and ensuring the elderly's safety and well-being. As the eServices platform is still in development, synthetic data, based on real data sample and empiric knowledge, is being used to populate the initial dataset. The presented work is a proof of concept of knowledge extraction using the eServices platform information. Regardless of not using real data, this work proves to be an asset, achieving a good performance in preventing alert situations.

Types and origins of diagnostic errors in primary care settings.

IMPORTANCE: Diagnostic errors are an understudied aspect of ambulatory patient safety. OBJECTIVES: To determine the types of diseases missed and the diagnostic processes involved in cases of confirmed diagnostic errors in primary care settings and to determine whether record reviews could shed light on potential contributory factors to inform future interventions. DESIGN: We reviewed medical records of diagnostic errors detected at 2 sites through electronic health record-based triggers. Triggers were based on patterns of patients' unexpected return visits after an initial primary care index visit. SETTING: A large urban Veterans Affairs facility and a large integrated private health care system. PARTICIPANTS: Our study focused on 190 unique instances of diagnostic errors detected in primary care visits between October 1, 2006, and September 30, 2007. MAIN OUTCOME MEASURES: Through medical record reviews, we collected data on presenting symptoms at the index visit, types of diagnoses missed, process breakdowns, potential contributory factors, and potential for harm from errors. RESULTS: In 190 cases, a total of 68 unique diagnoses were missed. Most missed diagnoses were common conditions in primary care, with pneumonia (6.7%), decompensated congestive heart failure (5.7%), acute renal failure (5.3%), cancer (primary) (5.3%), and urinary tract infection or pyelonephritis (4.8%) being most common. Process breakdowns most frequently involved the patient-practitioner clinical encounter (78.9%) but were also related to referrals (19.5%), patient-related factors (16.3%), follow-up and tracking of diagnostic information (14.7%), and performance and interpretation of diagnostic tests (13.7%). A total of 43.7% of cases involved more than one of these processes. Patient-practitioner encounter breakdowns were primarily related to problems with history-taking (56.3%), examination (47.4%), and/or ordering diagnostic tests for further workup (57.4%). Most errors were associated with potential for moderate to severe harm. CONCLUSIONS AND RELEVANCE: Diagnostic errors identified in our study involved a large variety of common diseases and had significant potential for harm. Most errors were related to process breakdowns in the patient-practitioner clinical encounter. Preventive interventions should target common contributory factors across diagnoses, especially those that involve data gathering and synthesis in the patient-practitioner encounter.

Electronic health record-based surveillance of diagnostic errors in primary care.

BACKGROUND: Diagnostic errors in primary care are harmful but difficult to detect. The authors tested an electronic health record (EHR)-based method to detect diagnostic errors in routine primary care practice. METHODS: The authors conducted a retrospective study of primary care visit records 'triggered' through electronic queries for possible evidence of diagnostic errors: Trigger 1: A primary care index visit followed by unplanned hospitalisation within 14 days and Trigger 2: A primary care index visit followed by ≥1 unscheduled visit(s) within 14 days. Control visits met neither criterion. Electronic trigger queries were applied to EHR repositories at two large healthcare systems between 1 October 2006 and 30 September 2007. Blinded physician-reviewers independently determined presence or absence of diagnostic errors in selected triggered and control visits. An error was defined as a missed opportunity to make or pursue the correct diagnosis when adequate data were available at the index visit. Disagreements were resolved by an independent third reviewer. RESULTS: Queries were applied to 212 165 visits. On record review, the authors found diagnostic errors in 141 of 674 Trigger 1-positive records (positive predictive value (PPV)=20.9%, 95% CI 17.9% to 24.0%) and 36 of 669 Trigger 2-positive records (PPV=5.4%, 95% CI 3.7% to 7.1%). The control PPV of 2.1% (95% CI 0.1% to 3.3%) was significantly lower than that of both triggers (p≤0.002). Inter-reviewer reliability was modest, though higher than in comparable previous studies (к=0.37 (95% CI 0.31 to 0.44)). CONCLUSIONS: While physician agreement on diagnostic error remains low, an EHR-facilitated surveillance methodology could be useful for gaining insight into the origin of these errors.

SERPINE 1 Links Obesity and Diabetes: A Pilot Study.

In the past decade there has been a dramatic increase in the number of Americans considered obese. Over this same period, the number of individuals diagnosed with diabetes has increased by over 40%. Interestingly, in a great number of cases individuals considered obese develop diabetes later on. Although a link between obesity and diabetes has been suggested, conclusive scientific evidence is thus far just beginning to emerge. The present pilot study is designed to identify a possible link between obesity and diabetes. The plasma proteome is a desirable biological sample due to their accessibility and representative complexity due, in part, to the wide dynamic range of protein concentrations, which lead to the discovery of new protein markers. Here we present the results for the specific depletion of 14 high-abundant proteins from the plasma samples of obese and diabetic patients. Comparative proteomic profiling of plasma from individuals with either diabetes or obesity and individuals with both obesity and diabetes revealed SERPINE 1 as a possible candidate protein of interest, which might be a link between obesity and diabetes.

Patient preferences and physician practices for laboratory test results notification.

INTRODUCTION: This study assessed patient preferences and physician practices for laboratory test results notification in ambulatory care. METHODS: Patients aged 18 years or older (n=728) who were scheduled to see their primary care physician at 5 clinics were offered the opportunity to participate in an anonymous survey during their clinic visit. Their primary care physicians were also invited to participate in a separate online survey. Questions on both surveys included the current method of laboratory test results notification and satisfaction with the method. RESULTS: The majority of patients reported satisfaction with the current method of notification of normal results-the US mail-which was also the preferred method for notification of normal test results by both patients and physicians. Direct phone contact by the physician was the preferred method for notification of abnormal results by both patients (64%) and physicians (41%). Patients' preferred method of notification of normal results significantly agreed with the current method (P<.0001), whereas that of abnormal results did not (P=.52). CONCLUSIONS: Our findings indicate that patients and physicians both prefer the US mail for notification of normal laboratory test results and a direct phone call by the physician for notification of abnormal results.

Improving diabetes self-care with a PDA in ambulatory care.

Use of information technology in diabetes management has been shown to improve self-care. We determined whether enhancing type 2 diabetes (T2DM) self-care with a personal digital assistant (PDA) by patients in the ambulatory setting would improve glycemic control. A pretest/posttest intervention study was conducted in four family practice clinics in a large multispecialty group practice associated with an 186,000-member Health Maintenance Organization. Adults with T2DM and last measured glycosylated hemoglobin (HbA1c) of > or = 8.00% received one-on-one training on the use of a loaned PDA pre-installed with "Diabetes Pilot." Changes in HbA1c and other outcomes were assessed at 6 months from baseline for all participants and by participant-reported PDA use patterns, dichotomized into high PDA users (> or =3 days in past 7) and low PDA users (< 3 days). Of 43 subjects enrolled, 18 (41.90%) completed the 6-month intervention. Their mean HbA1c decreased 17.50% from 9.70% at baseline to 8.00%, a significant mean HbA1c change of -1.7% (95% CI = -2.60 to -0.90). The mean HbA1c change was higher among reported high PDA users (n = 9, mean difference = -1.90, 95% CI = -3.20 to -0.50) than among reported low PDA users (n = 9, mean difference = -1.50, 95% CI = -2.80 to -0.30). Significant increases were reported for the foot care and general diet subscales of the Summary of Diabetes Self-Care Activities from 3 to 6 months. Enhancing T2DM self-care by adults with a PDA was associated with significant reductions in HbA1c; the reductions were greater among reported high PDA users.

Incorporating PDA use in diabetes self-care: a central Texas Primary Care Research Network (CenTexNet) study.

INTRODUCTION: We investigated the feasibility of incorporating the use of the personal digital assistant (PDA) in diabetes self-care in primary care. METHODS: Adults with type 2 diabetes whose last measured HbA1c value was 8.0% or greater were recruited from 4 family practice clinics. A trained research assistant provided one-on-one training on the use of a loaned PDA preinstalled with Diabetes Pilot software. RESULTS: Of 550 potential subjects invited for participation, only 98 (17.8%) called to schedule an orientation visit. However, 18 were never contacted when the recruitment goal was reached. Of the remaining 80 respondents, 43 (53.8%) met all study inclusion criteria. Participants' mean age was 55.2 years (SD = 10.1). The majority were female (62.8%) and white (62.8%), 83.7% had at least some college education, and most reported an income of $30,000 to $69,999. The mean baseline HbA1c was 10.0% (SD = 1.5). Major challenges of concern to the practicing family physician included few subjects agreeing to participate even though it was free, subjects who agreed to participate being generally different from those who decided not to participate, some PDAs not returned, and the relatively high cost of the intervention. CONCLUSIONS: Attempts to incorporate PDA use in diabetes self-care may be significantly challenging, although feasible. We identified several challenges and suggest strategies to overcome them.

Micro-emultocrit technique: a valuable tool for determination of critical HLB value of emulsions.

The aim of this work was to develop a methodology for rapid determination of the critical hydrophilic-lipophilic balance (HLB) value of lipophilic fractions of emulsions. The emulsions were prepared by the spontaneous emulsification process with HLB value from 4.3 to 16.7. The preparations were stored at 2 different temperatures (25 degrees C and 4 degrees C) and their physicochemical behavior was evaluated by the micro-emultocrit technique and the long-term stability study. The experimental data show a reverse relationship between HLB values of the surfactant mixtures and emulsion stability. A close correlation between the results for both stability procedures was observed, suggesting the use of micro-emultocrit to predict stabilities of such systems. In addition, it was found that the critical HLB of the Mygliol 812 was 15.367.

Primary care physicians' awareness and adherence to cervical cancer screening guidelines in Texas.

BACKGROUND: Cervical cancer screening guidelines were created to help healthcare professionals in appropriate screening utilizing the PAP test. However, significant variation in cervical cancer screening among primary care physicians has been noted. Knowledge of the awareness of and adherence to cervical cancer screening guidelines by primary care physicians will help determine how best to disseminate and educate these physicians regarding the guidelines in hopes of reducing unnecessary screening and improving screening for under screened populations. METHODS: A cross-sectional, mailed survey involving Family Medicine (FP), Community Internal Medicine (CIM), and Obstetrics/Gynecology (OB) physicians practicing in a large University-affiliated, multi-specialty group practice associated with an 186,000-member HMO in Central Texas (n = 177) was conducted in 2001-2002. RESULTS: Most physicians performed PAP testing (50.4%). PAP screening was noted to vary significantly by specialty (P < 0.0001). All OBs were aware of at least one published guideline, compared to 96% of FPs and 91% of CIMs (P < 0.05). A wide variation was reported regarding adherence to published guidelines. In addition, there was significant intraspecialty variation regarding adherence to the physicians' own specialty's guidelines. CONCLUSIONS: While most physicians in the primary care setting perform PAP tests and are aware of published guidelines for PAP screening, adherence to the published guidelines varies considerably even in the same clinical setting.