Validation of a questionnaire to assess self-reported colorectal cancer screening status using face-to-face administration.

PURPOSE: The aim of this study was to assess the accuracy of a National Cancer Institute (NCI)-developed colorectal cancer screening questionnaire. METHODS: We conducted 36 cognitive interviews and made iterative changes to the questionnaire to improve comprehension. The revised questionnaire was administered face-to-face to 201 participants. The primary outcome was agreement between questionnaire responses and medical records for whether or not a participant was up-to-date for any colorectal cancer screening test. RESULTS: Comprehension of descriptions and questions was generally good; however, the barium enema description required several revisions. The sensitivity of the questionnaire for up-to-date screening status was 94%, specificity 63%, and concordance 88%. CONCLUSIONS: The modified questionnaire was highly sensitive for determining if a person was up-to-date for any colorectal cancer screening test, although the specificity was low. Given the difficulty of obtaining all relevant records, self-report using this questionnaire is a reasonable option for identifying people who have undergone testing.

Impact of comorbidity on colorectal cancer screening in the veterans healthcare system.

BACKGROUND & AIMS: The quality assessment measure of colorectal cancer screening in the veteran's health system reports the proportion of patients aged 52-80 years who were tested. This approach does little to assess for comorbid illnesses, which might limit the utility of screening. Our aim was to determine the relationship between patient comorbidity and screening by fecal occult blood test in a national sample of veterans. METHODS: We examined the Veterans Health Administration's national databases (October 2003-February 2005) for a random sample of primary care patients, aged > or = 50 years. The Charlson score, a validated measure of comorbidity burden, was calculated from diagnosis codes by the Deyo method. The association between Charlson score and colorectal cancer screening was assessed with logistic regression. RESULTS: The sample of 77,268 was 97% men; mean age was 67 years. Charlson score distribution was 0, 45%; 1, 24%; 2, 14%; 3, 7%; 4, 4%; 5, 2%; 6, 1%; 7, 0.8%; 8, 0.6%; 9, 0.4%; > or = 10, 1%. Overall there was no consistent significant association between Charlson score and use of fecal occult blood testing except in the sickest 1%. There was a strong and incremental relationship between Charlson score and 1-year mortality. CONCLUSIONS: Although there was a strong relationship in the veteran population between the Charlson score and survival, colorectal cancer screening utilization was not impacted by Charlson score. Instead, resources were expended evenly throughout the population, rather than directed toward screening the patients with the most life-years at stake. The quality measure for colorectal cancer screening should be modified to account for patient comorbidity.

Medication barriers and anti-hypertensive medication adherence: the moderating role of locus of control.

Locus of control as a moderator of the relationship between medication barriers (e.g., side-effects, forgetting to take medication, and keeping track of pills) and anti-hypertensive medication adherence was examined. Baseline data were obtained from 588 hypertensive veterans. In general, fewer medication barriers, higher internal locus of control and lower external locus of control was associated with better hypertensive medication adherence. Furthermore, internal locus of control served as a moderator (beta = -.74, p < .01) for the relationship between medication barriers and medication adherence; effect size was large. Decomposition of the interaction revealed that the relationship between medication barriers and medication adherence was strongest when internal control was high (b = -.24, p < .01). Higher internal locus of control was beneficial when barriers to medication adherence are low, but at high perceived barriers, locus of control plays less of a role in medication adherence. Future efforts to improve medication adherence should consider the patient's perceived level of medication barriers in conjunction with their locus of control.

Comparison of three comorbidity measures for predicting health service use in patients with osteoarthritis.

OBJECTIVE: To compare the ability of 3 database-derived comorbidity scores, the Charlson Score, Elixhauser method, and RxRisk-V, in predicting health service use among individuals with osteoarthritis (OA). METHODS: The study population comprised 306 patients who were under care for OA in the Veterans Affairs (VA) health care system. Comorbidity scores were calculated using 1 year of data from VA inpatient and outpatient databases (Charlson Score, Elixhauser method), as well as pharmacy data (RxRisk-V). Model selection was used to identify the best comorbidity index for predicting 3 health service use variables: number of physician visits, number of prescriptions used, and hospitalization probability. Specifically, Akaike's Information Criterion (AIC) was used to determine the best model for each health service outcome variable. Model fit was also evaluated. RESULTS: All 3 comorbidity indices were significant predictors of each health service outcome (P < 0.01). However, based on AIC values, models using the RxRisk-V and Elixhauser indices as predictor variables were better than models using the Charlson Score. The model using the RxRisk-V index as a predictor was the best for the outcome of prescription medication use, and the model with the Elixhauser index was the best for the outcome of physician visits. CONCLUSION: The Rx-Risk-V and Elixhauser are suitable comorbidity measures for examining health services use among patients with OA. Both indices are derived from administrative databases and can efficiently capture comorbidity among large patient populations.

Subjective and objective evaluations of health among middle-aged and older veterans with hypertension.

OBJECTIVE: The congruence between self-rated health and objective health was examined for associations with health factors related to hypertension (health behaviors, medication barriers, and perceived blood-pressure control). METHODS: The Charlson Comorbidity Index was cross classified with self-rated health, producing four health-congruence groups: good health realists, poor health realists, health optimists, and health pessimists. Data for this study were obtained from 588 hypertensive veterans (mean age = 63) at baseline of a clinical trial to improve blood-pressure control before randomization to an intervention. RESULTS: Optimists had higher perceived control of their hypertension when compared to pessimists. Additionally, optimists had higher levels of exercise and fewer medication barriers when compared to poor health realists. DISCUSSION: Health congruence classification could be a useful tool to alert practitioners of patients who may be having difficulties managing their hypertension.

Intentional and unintentional nonadherence to antihypertensive medication.

BACKGROUND: Hypertension is poorly controlled in the US due to medication nonadherence. Recent evidence suggests that nonadherence can be classified as intentional or unintentional and different patient characteristics, such as the experience of adverse effects, may be associated with each. OBJECTIVE: To examine associations between patient characteristics, including reported adverse effects, and both intentional and unintentional nonadherence among 588 hypertensive patients. METHODS: Baseline data from a clinical trial, the Veterans' Study To Improve the Control of Hypertension, were examined. Intentional and unintentional nonadherence were assessed using a self-report measure. Participants were presented with a list of adverse effects commonly associated with antihypertensive medication and asked to indicate which symptoms they had experienced. Logistic regression analyses were used to examine adjusted associations between patient characteristics and type of nonadherence. RESULTS: Approximately 31% of patients reported unintentional nonadherence and 9% reported intentional nonadherence. Non-white participants, individuals without diabetes mellitus, and individuals reporting > or = 5 adverse effects were more likely to report intentional nonadherence than their counterparts. Individuals with less than a 10th-grade education and non-white participants were more likely to report unintentional nonadherence than their counterparts. When symptoms of increased urination and wheezing/shortness of breath were reported, patients were more likely to report intentional and unintentional nonadherence compared with those who were adherent. Unintentional nonadherence was also associated with reports of dizziness and rapid pulse. CONCLUSIONS: Both intentional and unintentional nonadherence are common and related to perceived adverse effects. Furthermore, different interventions may be necessary to improve adherence in unintentionally and intentionally nonadherent patients.

Veterans Affairs primary care organizational characteristics associated with better diabetes control.

OBJECTIVE: To examine organizational features of Veterans Affairs (VA) primary care programs hypothesized to be associated with better diabetes control, as indicated by hemoglobin A1C (HbA1C) levels. STUDY DESIGN: Cross-sectional cohort. METHODS: We established a cohort of 224 221 diabetic patients using the VA Diabetes Registry and Dataset and VA corporate databases. The 1999 VHA (Veterans Health Administration) Survey of Primary Care Practices results were combined with individual patient data. A 2-level hierarchical model was used to determine the relationship between organizational characteristics and HbA1C levels in 177 clinics with 82 428 cohort members. RESULTS: The following attributes were associated with lower (better) HbA1C and were statistically significant at P < .05: greater authority to establish or implement clinical policies (lower by 0.21%), greater staffing authority (0.28%), computerized diabetes reminders (0.17%), notifying all patients of their assigned provider (0.21%), hiring needed new staff during fiscal year 1999 (0.18%), having nurses that report only to the program (0.16%), and being a large academic practice (0.27%). Associated with higher (worse) HbA1C were programs reporting that patients almost always see their assigned provider (greater by 0.18%), having a quality improvement program involving all nurses without all physicians (0.38%), having general internal medicine physicians report only to the program (0.20%), and being located at an acute care hospital (0.20%). CONCLUSION: Programs that are associated with better diabetes control simultaneously have teams that actively involve physicians in quality improvement, use electronic health information systems, have authority to respond to staffing and programmatic issues, and engage patients in care.

Utility of hemoglobin A1c in predicting diabetes risk.

BACKGROUND: There is controversy surrounding the issue of whether, and how, to screen adults for type 2 diabetes. Our objective was to measure the incidence of new diabetes among outpatients enrolled in a health care system, and to determine whether hemoglobin A1c (HbA1c) values would allow risk stratification for patients' likelihood of developing diabetes over 3 years. METHODS: We conducted a prospective cohort study with 3-year follow-up at a single large, tertiary care, Department of Veterans Affairs Medical Center (VAMC). A convenience sample of 1,253 outpatients without diabetes, age 45 to 64, with a scheduled visit at the VAMC, were screened for diabetes using an initial HbA1c measurement. All subjects with HbA1c > or = 6.0% (normal, 4.0% to 6.0%) were invited for follow-up fasting plasma glucose (FPG). We then surveyed patients annually for 3 years to ascertain interval diagnosis of diabetes by a physician. The baseline screening process was repeated 3 years after initial screening. After the baseline screening, new cases of diabetes were defined as either the self-report of a physician's diagnosis of diabetes, or by HbA1c > or = 7.0% or FPG > or = 7.0 mmol/L at 3-year follow-up. The incidence of diabetes was calculated as the number of new cases per person-year of follow-up. RESULTS: One thousand two hundred fifty-three patients were screened initially, and 56 (4.5%) were found to have prevalent unrecognized diabetes at baseline. The 1,197 patients without diabetes at baseline accrued 3,257 person-years of follow-up. There were 73 new cases of diabetes over 3 years of follow-up, with an annual incidence of 2.2% (95% confidence interval [CI], 1.7% to 2.7%). In a multivariable logistic regression model, baseline HbA1c and baseline body mass index (BMI) were the only significant predictors of new onset diabetes, with HbA1c having a greater effect than BMI. The annual incidence of diabetes for patients with baseline HbA1c < or = 5.5 was 0.8% (CI, 0.4% to 1.2%); for HbA1c 5.6 to 6.0, 2.5% (CI, 1.6% to 3.5%); and for HbA1c 6.1 to 6.9, 7.8% (CI, 5.2% to 10.4%). Obese patients with HbA1c 5.6 to 6.0 had an annual incidence of diabetes of 4.1% (CI, 2.2% to 6.0%). CONCLUSIONS: HbA1c testing helps predict the likelihood that patients will develop diabetes in the future. Patients with normal HbA1c have a low incidence of diabetes and may not require rescreening in 3 years. However, patients with elevated HbA1c who do not have diabetes may need more careful follow-up and possibly aggressive treatment to reduce the risk of diabetes. Patients with high-normal HbA1c may require follow-up sooner than 3 years, especially if they are significantly overweight or obese. This predictive value suggests that HbA1c may be a useful test for periodic diabetes screening.

The effect of poststroke cognitive impairment on rehabilitation process and functional outcome.

OBJECTIVES: To determine whether cognitive impairment affects access to, or quality of, rehabilitation services, and to examine the effects of functional outcomes in stroke patients. DESIGN: Secondary analysis of prospective cohort of stroke patients followed for 6 months after stroke. SETTINGS: Eleven large-volume US Department of Veterans Affairs hospitals nationwide. PARTICIPANTS: Stroke patients (N=272) who were candidates for rehabilitation. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Rehabilitation process variables were examined for patients assessed as cognitively impaired or unimpaired according to education-adjusted Mini-Mental State Examination score. Functional outcomes were performance of activities of daily living (ADLs), measured by the FonFIM, and instrumental activities of daily living (IADLs), measured by Lawton, at 6-month follow-up. RESULTS: Compliance with guidelines and receipt of and interval to postacute treatment initiation did not differ between cognitively impaired and unimpaired patients. Although most cognition-related treatment elements were similar for both groups, cognitive goals were more frequently charted in impaired patients. Controlling for baseline function and rehabilitation process, cognitively impaired patients had worse IADL performance at 6 months than did unimpaired patients; cognition did not significantly influence ADL performance. CONCLUSIONS: Quality of, and access to, rehabilitative care was equivalent for patients with and without cognitive impairment. Despite a similar rehabilitation process, cognitively impaired stroke patients experienced worse recovery of IADLs.

Patterns of opioid analgesic prescription among patients with osteoarthritis.

This study describes patterns of opioid analgesic prescription during a one-year period among a sample of patients with osteoarthritis (OA). The study sample included 3,061 patients with prior ICD-9 codes indicating a diagnosis of OA who were treated at a federal Veterans Affairs Medical Center. Specific opioid variables included: any opioid prescription, number of specific opioid drugs prescribed, total number of opioid prescriptions, total number of days supply of opioids, and daily opioid doses. We also examined relationships of demographic characteristics to opioid variables. Results revealed that 41% of patients received at least one opioid prescription. Opioids were prescribed significantly less frequently among African-Americans than Caucasians and the number of opioid prescriptions declined with increasing age. The mean annual supply of opioids was 104 days. Days' supply of opioids was also lower for African Americans and older patients. Daily opioid doses were, on average, below recommended daily doses for the treatment of OA. Findings of this study suggest that opioids are frequently prescribed to individuals with OA and that these drugs may be gaining acceptability for the treatment of chronic musculoskeletal pain. Additional research is needed to examine reasons for racial differences in opioid prescribing, as well as the prescription of these medications at fairly low doses.

Patient and clinician satisfaction with a store-and-forward teledermatology consult system.

The aim of this study was to assess satisfaction with and acceptance of a store and forward teledermatology consult system among patients, referring primary-care clinicians, and consultant dermatologists. As part of a randomized clinical trial that compared the clinical and economic outcomes of store and forward teledermatology to a conventional referral process, we conducted satisfaction assessments among participating patients, referring primary-care clinicians, and consultant dermatologists. Survey questions included issues related to the timeliness of each consult process, the confidence participants displayed in each consult modality, and assessments of overall satisfaction and preferences. A majority of referring clinicians (92%) and dermatologist consultants (75%) reported overall satisfaction with the teledermatology consult process. Ninety-five percent of referring clinicians reported that teledermatology resulted in more timely referrals for their patients. This finding was validated by the observation that teledermatology patients reached a point of initial intervention significantly sooner than did patients in usual care (41 days versus 127 days, p = 0.0001). Teledermatology patients reported satisfaction with the outcome of their teledermatology consultation 82% of the time. However, patients did not express a clear preference for a consult method. A total of 41.5% of patients preferred teledermatology, 36.5% preferred usual care, and 22% were neutral. Our study showed a high level of satisfaction among all users of a store-and-forward teledermatology consult system, and, in some cases, our survey results could be validated with observed clinical outcomes.

Racial differences in health care utilization among patients with osteoarthritis.

OBJECTIVE: Research has identified racial variations in certain aspects of osteoarthritis (OA) related medical care. We compared health services utilization between African American and white veteran outpatients with OA. METHODS: Subjects were 1612 white and 861 African American patients receiving medical care for OA at the Durham VAMC, Durham, NC, USA. Two major components of OA related medical care were examined during a one-year period: physician visits and use of analgesic and antiinflammatory medications. RESULTS: There were no racial differences in overall frequency of OA related physician visits or visits to rheumatologists. About 86% of both African American and white patients were prescribed some analgesic or antiinflammatory medication. There were, however, racial differences in the use of specific drug classes. African Americans were more likely to be prescribed nonselective nonsteroidal antiinflammatory drugs (69% vs 60%), but less likely to be prescribed COX-2 inhibitors (4% vs 7%) and narcotic analgesics (33% vs 40%) than whites (all p < 0.05). African Americans also had a shorter annual mean days' supply for several common medications, including acetaminophen, acetaminophen combined with codeine, and acetaminophen combined with oxycodone (all p < 0.05). CONCLUSION: African Americans and white veterans with OA did not differ substantially in their use of physician services. However, within this equal access health care system that requires minimal co-payments for medications, there were racial differences in prescription medication use. These differences may have implications for both quality of pain relief and risk of side effects.

Quality of care for patients diagnosed with diabetes at screening.

OBJECTIVE: Screening for diabetes has the potential to be an effective intervention, especially if patients have intensive treatment of their newly diagnosed diabetes and comorbid hypertension. We wished to determine the process and quality of diabetes care for patients diagnosed with diabetes by systematic screening. RESEARCH DESIGN AND METHODS: A total of 1,253 users of the Durham Veterans Affairs Medical Center aged 45-64 years who did not report having diabetes were screened for diabetes with an HbA(1c) test. All subjects with an HbA(1c) level > or =6.0% were invited for follow-up blood pressure and fasting plasma glucose (FPG) measurements. A case of unrecognized diabetes was defined as HbA(1c) > or =7.0% or FPG > or =126 mg/dl. For each of the 56 patients for whom we made a new diagnosis of diabetes, we notified the patient's primary care provider of this diagnosis. One year after diagnosis, we reviewed these patients' medical records for traditional diabetes performance measures as well as blood pressure. Follow-up blood pressure was also ascertained from medical record review for all subjects with HbA(1c) > or =6.0% who did not have diabetes. We compared blood pressure changes between patients with and without diabetes. RESULTS: Among patients diagnosed with diabetes at screening, 34 of 53 (64%) had evidence of diet or medical treatment for their diabetes, 42 of 53 (79%) had HbA(1c) measured within the year after diagnosis, 32 of 53 (60%) had cholesterol measured, 25 of 53 (47%) received foot examinations, 29 of 53 (55%) had eye examinations performed by an eye specialist, and 16 of 53 (30%) had any measure of urine protein. The mean blood pressure decline over the year after diagnosis for patients with diabetes was 2.3 mmHg; this decline was similar to that found for 183 patients in the study without diabetes (change in blood pressure, -3.6 mmHg). At baseline, 48% of patients with diabetes had blood pressure <140/90, compared with 40% of patients without diabetes; 1 year later, the same 48% of patients with diabetes had blood pressure <140/90, compared with 56% of patients without diabetes (P = 0.31 for comparing the change in percent in control between groups). CONCLUSIONS: Patients with diabetes diagnosed at screening achieve less tight blood pressure control than similar patients without diabetes. Primary care providers do not appear to manage diabetes diagnosed at screening as intensively as long-standing diabetes and do not improve the management of hypertension given the new diagnosis of diabetes.

An economic analysis of a store and forward teledermatology consult system.

Our objective was to assess the economic impact of store-and-forward teledermatology in a United States Department of Veterans Affairs (VA) health care setting. Patients being referred to the Dermatology Consult Service from the Primary Care Clinics at the Durham, North Carolina VA Medical Center were randomized either to usual care or to a teledermatology consultation. Fixed and variable costs for both consult modalities were identified using a microcosting approach. The observed clinical outcomes from the randomized trial generated probability and effectiveness measures that were inserted into a decision model. A cost analysis and a cost-effectiveness analysis that compared the two consult modalities was performed. Teledermatology was not cost saving when compared to usual care using observed costs and outcomes. Sensitivity analyses indicated that teledermatology has the potential to be cost saving if clinic visit costs, travel costs, or averted clinic visits were higher than observed in the study. Teledermatology was cost-effective for decreasing the time required for patients to reach a point of initial definitive care. Cost-effectiveness ratios ranged from $0.12-0.17 (U.S.) per patient per day of time to initial intervention.

Teledermatology's impact on time to intervention among referrals to a dermatology consult service.

The aim of this study was to determine if a teledermatology consult system, using store-and-forward digital imaging technology, results in patients achieving a shorter time from referral date to date of initial definitive intervention when compared to a traditional referral process. Patients being referred to the dermatology consult service from the primary care clinics at the Durham VA Medical Center were randomized to either a teledermatology consultation or usual care. A usual care consultation consisted of a text-based electronic consult request. A teledermatology consultation included digital images and a standardized history, in addition to the text-based electronic consult. Time to initial definitive intervention was defined as the time between referral date and the date the patient was scheduled for a clinic visit for those patients that the consultant requested a clinic-based evaluation, or the time between referral date and the date the consult was answered by the consultant if a clinic visit was not required. Patients in the teledermatology arm of the study reached a time to initial definitive intervention significantly sooner than did those patients randomized to usual care (median 41 days versus 127 days, p = 0.0001, log-rank test). Additionally, 18.5% of patients in the teledermatology arm avoided the need for a dermatology clinic-based visit compared to zero patients avoiding a dermatology clinic visit in the usual care arm of the study (p < 0.001, z-test). Teledermatology consult systems can result in significantly shorter times to initial definitive intervention for patients compared to traditional consult modalities, and, in some cases, the need for a clinic-based visit can be avoided.

Structure, process, and outcomes in stroke rehabilitation.

BACKGROUND: The health services research framework of structure, process, and outcome is used commonly to examine quality of care, and it indicates that structure influences process, which in turn influences outcomes. However, little empirical work has been done to test this hypothesis, particularly for medical rehabilitation. OBJECTIVES: To determine if, among stroke patients, (1) structure of care was associated with process of care, and (2) structure of care was associated with outcomes after adjusting for process. RESEARCH DESIGN: Two-year, prospective study of 288 acute stroke patients in 11 VA medical centers, of whom 128 were included in the current analysis. MEASURES: Structure of care: systemic organization, staffing expertise, and technological sophistication. Process of care: compliance with the AHCPR poststroke rehabilitation guidelines. PATIENT CHARACTERISTICS: baseline prior walking ability and Functional Independence Measure (FIM) motor subscale. OUTCOMES: the FIM motor subscale 6-months poststroke. RESULTS: The combination of systemic organization and staffing expertise, along with technological sophistication, were independent predictors of process of care (beta coefficients 0.21, P<0.05 and 0.37, P<0.001, respectively). When controlling simultaneously for patient characteristics, structure and process of care, structure of care did not have and process of care did have a statistically significant association (beta coefficient 0.18, P<0.01) with functional outcomes. CONCLUSIONS: Better process of care was associated with better 6-month functional outcomes, therefore improving process of care probably would improve stroke outcomes. However, our results indicate that improving key structure of care elements might facilitate improving process of care for stroke patients.

Medical service utilization by veterans seeking help for posttraumatic stress disorder.

OBJECTIVE: Posttraumatic stress disorder (PTSD) has been associated with higher rates of health complaints and medical conditions diagnosed by physicians, yet research examining the relationship between PTSD and health care utilization has been limited. This study compared the health service use of veterans with PTSD to that of help-seeking veterans without PTSD. The relationship between severity of PTSD and service utilization was also examined. METHOD: Data were collected from 996 veterans seeking an evaluation at a Veterans Affairs (VA) Medical Center specialty PTSD clinic in the southeastern United States between March 1992 and September 1998. Data included sociodemographic characteristics, severity of PTSD, and disability status. The outcome variable, VA health service utilization, was prospectively assessed 1 year from the date of the initial PTSD assessment. RESULTS: Although the use of VA mental health services by patients with PTSD was substantial (a median of seven clinic stops), these patients used more services in general physical health clinics that provided predominantly nonmental health services (a median of 18 clinic stops). Negative binomial regression models revealed that younger veterans with PTSD had greater health care utilization than those without PTSD who also sought services. Greater severity of PTSD was related to higher rates of mental and physical health service use among veterans without a service-connected disability. CONCLUSIONS: PTSD is associated with substantial health service use. The results highlight the importance of increased collaboration between primary care and mental health specialists, given that patients with PTSD are more likely to receive treatment in nonmental health clinics.

Performance of a mail-administered version of a stroke-specific outcome measure, the Stroke Impact Scale.

OBJECTIVE: To evaluate the feasibility and concurrent validity of a new, mail-administered, stroke-specific outcome measure, the Stroke Impact Scale (SIS). DESIGN: Observational cohort study. SETTING AND PATIENTS: Stroke patients who had lived independently in the community prior to their stroke and who were candidates for post-stroke rehabilitation were recruited from nine, high-volume, Department of Veteran Affairs Medical Centers. METHODS: Two hundred and six patients were mailed the SIS after a six-month post-stroke telephone interview. Telephone assessments included the Functional Independence Measure, the Lawton IADL and the SF-36. RESULTS: The response rate for the mailed SIS was 63%, with 45% of the responses from proxies. The average rate of missing item level scores per patient was 1.3 (range 0-20) resulting in an average rate of 0.13 missing domain scores per patient (range 0-3). Nonresponders to the mailed SIS had more severe strokes with lower functional status at the time of the survey than responders. Proxies were more likely to complete the survey if the subjects were older, married, cognitively impaired and more functionally limited. The SIS did not exhibit a high rate of floor and ceiling effects, particularly in physical function domains, as did the FIM and the SF-36. CONCLUSIONS: The mailed SIS is a feasible means of assessing post-stroke function. Missing items and missing domain scores were extremely low, however, there is a trade-off between the low-cost mail SIS survey on the one hand and the resulting nonresponse bias on the other.

Postacute stroke guideline compliance is associated with greater patient satisfaction.

OBJECTIVE: To determine if the structure of care or the process of stroke care, as measured by compliance with stroke guidelines published by the Agency for Healthcare Research and Quality (AHRQ), is associated with patient satisfaction. DESIGN: Prospective inception cohort study of new stroke admissions including postacute care with follow-up interviews at 6 months poststroke. SETTING: Eleven Veterans Affairs medical centers (VAMCs). PARTICIPANTS: A total of 288 new stroke patients admitted to VAMCs. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Compliance with AHRQ stroke guidelines and patient satisfaction with care using a stroke-specific instrument. RESULTS: Process of care was positively and significantly associated with greater patient satisfaction even after controlling for patient functional outcome. The most visible (to the patient) process of care dimensions correlated most highly with patient satisfaction. Sixty-four percent (73/115) of patients expressed some dissatisfaction with 1 or more survey items. CONCLUSIONS: "What we do" and "how we do it" while providing postacute care to stroke patients was associated with patient satisfaction. This linkage of process to outcome is an important validation of satisfaction as a significant patient outcome. This linkage is further evidence that compliance with AHRQ stroke guidelines may be a valid quality of care indicator.

Impact of diabetes screening on quality of life.

OBJECTIVE: Diagnosis of a chronic illness can have a negative impact on patients' perception of their well-being ("labeling" effect). We sought to determine the effects of a new diagnosis of diabetes, discovered by systematic screening, on patients' health-related quality of life (HRQoL) 1 year after diagnosis. RESEARCH DESIGN AND METHODS: We performed diabetes screening at the Durham Veterans Affairs Medical Center of 1,253 outpatients, aged 45-64 years, who did not report having diabetes. Our initial screen was a serum HbA(1c) measurement. All subjects with HbA(1c) > or = 6.0% were invited for follow-up measurement of blood pressure and fasting plasma glucose. A case of unrecognized diabetes was defined as HbA(1c) > or = 7.0% or fasting plasma glucose > or = 7 mmol/dl. HRQoL was measured by Medical Outcomes Study Short Form 36 (SF-36) for all patients at baseline and 1 year after enrollment. Linear multivariable models were used to determine the independent effect of the new diagnosis of diabetes on HRQoL. RESULTS: Mean SF-36 Physical Component Score (PCS) for all patients was 36.2, and mean Mental Component Score (MCS) was 49.6. A total of 56 patients (4.5%) were found to have diabetes at screening. Patients found to have diabetes at screening had mean PCS of 35.6, which was not different from a mean PCS of 36.3 for those patients found not to have diabetes (P = 0.67). After adjusting for baseline PCS values, PCS 1 year after screening was similar for patients with and without diabetes found at screening (P = 0.95). Similarly, patients found to have diabetes at screening had mean MCS of 48.8; those found not to have diabetes had MCS of 49.6 (P = 0.70). After adjusting for baseline MCS values, MCS 1 year after screening was also similar between the two groups (P = 0.77). CONCLUSIONS: For patients with a new diagnosis of diabetes discovered through systematic screening, HRQoL is similar to patients found not to have diabetes. Furthermore, HRQoL scores remain stable over the year after screening. This suggests that screening for diabetes has minimal, if any, "labeling" effect with respect to HRQoL.