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Biomedical subjects

C M Ashton

Publications and source records attributed to C M Ashton.

At least 19 recordsLinked to original sources
PubMed2001

Living with treatment decisions: regrets and quality of life among men treated for metastatic prostate cancer.

PURPOSE: To examine variation in men's long-term regret of treatment decisions, ie, surgical versus chemical castration, for metastatic prostate cancer and its associations with quality of life. METHODS: Survey of previously treated patients to assess treatment decisions and quality of life, supplemented with focus groups. Two items addressing whether a patient wished he could change his mind and the belief that he would have been better off with the treatment not chosen were combined in classifying survey respondents as either satisfied or regretful. Chi(2) and t tests were used to test associations between regret and treatment history, complications, and quality of life. RESULTS: Survey respondents included 201 men aged 45 to 93 years (median, 71 years), who had begun treatment (71% chemical castration, 29% orchiectomy) a median of 2 years previously. Most reported complications: hot flashes (70%), nausea (34%), and erectile dysfunction (81%). Most were satisfied with the treatment decision, but 23% expressed regret. Regretful men more frequently reported surgical (43%) versus chemical (36%) castration (P: = .030) and nausea in the past week (54% v 32%; P: = .010) but less frequently reported erectile dysfunction (56% v 72%; P: = .048). Regretful men indicated poorer scores on every measure of generic and prostate cancer-related quality of life. Qualitative analyses revealed substantial uncertainty about the progress of their disease and the quality of the decisions in which patients participated. CONCLUSION: Regret was substantial and associated with treatment choice and quality of life. It may derive from underlying psychosocial distress and problematic communication with physicians when decisions are being reached and over subsequent years.

Aged↗
PubMed2001

A psychometric analysis of the measurement level of the rating scale, time trade-off, and standard gamble.

A fundamental assumption of utility-based analyses is that patient utilities for health states can be measured on an equal-interval scale. This assumption, however, has not been widely examined. The objective of this study was to assess whether the rating scale (RS), standard gamble (SG), and time trade-off (TTO) utility elicitation methods function as equal-interval level scales. We wrote descriptions of eight prostate-cancer-related health states. In interviews with patients who had newly diagnosed, advanced prostate cancer, utilities for the health states were elicited using the RS, SG, and TTO methods. At the time of the study, 77 initial and 73 follow-up interviews had. been conducted with a consecutive sample of 77 participants. Using a Rasch model, the boundaries (Thurstone Thresholds) between four equal score sub-ranges of the raw utilities were mapped onto an equal-interval logit scale. The distance between adjacent thresholds in logit units was calculated to determine whether the raw utilities were equal-interval. None of the utility scales functioned as interval-level scales in our sample. Therefore, since interval-level estimates are assumed in utility-based analyses, doubt is raised regarding the validity of findings from previous analyses based on these scales. Our findings need to be replicated in other contexts, and the practical impact of non-interval measurement on utility-based analyses should be explored. If cost-effectiveness analyses are not found to be robust to violations of the assumption that utilities are interval, serious doubt will be cast upon findings from utility-based analyses and upon the wisdom of expending millions in research dollars on utility-based studies.

Cost-Benefit Analysis↗
PubMed2000

Predicting non-elective hospital readmissions: a multi-site study. Department of Veterans Affairs Cooperative Study Group on Primary Care and Readmissions.

OBJECTIVE: To determine clinical and patient-centered factors predicting non-elective hospital readmissions. DESIGN: Secondary analysis from a randomized clinical trial. CLINICAL SETTING: Nine VA medical centers. PARTICIPANTS: Patients discharged from the medical service with diabetes mellitus, congestive heart failure, and/or chronic obstructive pulmonary disease (COPD). MAIN OUTCOME MEASUREMENT: Non-elective readmission within 90 days. RESULTS: Of 1378 patients discharged, 23.3% were readmitted. After controlling for hospital and intervention status, risk of readmission was increased if the patient had more hospitalizations and emergency room visits in the prior 6 months, higher blood urea nitrogen, lower mental health function, a diagnosis of COPD, and increased satisfaction with access to emergency care assessed on the index hospitalization. CONCLUSIONS: Both clinical and patient-centered factors identifiable at discharge are related to non-elective readmission. These factors identify high-risk patients and provide guidance for future interventions. The relationship of patient satisfaction measures to readmission deserves further study.

Diabetes Mellitus↗
PubMed2000

Veterans Affairs Quality Enhancement Research Initiative in chronic heart failure.

Chronic heart failure (CHF) is a highly prevalent condition associated with serious morbidity, intense levels of health services use, and shortened survival. It is also a condition for which ameliorative therapies exist. The evidence indicates that there is substantial need to change clinical practice and health care delivery for people with CHF and thereby improve their outcomes. The goal of the Veterans Affairs (VA) Quality Enhancement Research Initiative in CHF (CHF QUERI) is to create measurable, rapid, and sustainable improvements in quality of care and health outcomes of veterans with heart failure. This article describes the current state of knowledge and practice in care for people with CHF. Using the framework of the 5 steps of the QUERI process, we point out the gaps in research and practice that must be filled if the CHF QUERI is to achieve its goal. We relate our recommendations for how the VA can put its research and administrative infrastructure to work to fill the gaps. Lessons learned about CHF in the course of the CHF QUERI will be applicable to all people with heart failure and to all health care systems--VA as well as non-VA--that care for them.

Benchmarking↗
PubMed2000

A trial for comparing methods for eliciting treatment preferences from men with advanced prostate cancer: results from the initial visit.

OBJECTIVE: The objective of this study was to evaluate the convergent validity of 3 types of utility measures: standard gamble, time tradeoff, and rating scale. RESEARCH DESIGN: A prospective cohort of 120 men with advanced prostate cancer were first asked to rank order 8 health states, and then utility values were obtained from each participant for each of the 8 health states through 2 of the 3 techniques evaluated (standard gamble, time tradeoff and rating scale). Participants were randomly assigned to 1 of 3 possible pairs of techniques. The validity of the 3 methods, as measured by the convergence and raw score differences of the techniques, was assessed with ANOVA. The ability of the techniques to differentiate health states was determined. The inconsistencies between rankings and utility values were also measured. Proportions of illogical utility responses were assessed as the percent of times when states with more symptoms were given higher or equal utility values than states with fewer symptoms. RESULTS: There were significant differences in raw scores between techniques, but the values were correlated across health states. Utility values were often inconsistent with the rank order of health states. In addition, utility assessment did not differentiate the health states as well as the rank order. Furthermore, utility values were often illogical in that states with more symptoms received equal or higher utility values than states with fewer symptoms. CONCLUSIONS: Use of the utility techniques in cost-effectiveness analysis and decision making has been widely recommended. The results of this study raise serious questions as to the validity and usefulness of the measures.

Aged↗
PubMed1999

Geographic variations in utilization rates in Veterans Affairs hospitals and clinics.

BACKGROUND: In the United States, geographic variation in hospital use is common. It is uncertain whether there are similar geographic variations in the health care system of the Department of Veterans Affairs (VA), which differs from the private sector because it predominantly serves men with annual incomes below $20,000, has a central system of administration, and uses salaried physicians. Thus, it might be less likely to have geographic variations. METHODS: We used VA data bases to obtain information on patients treated for eight diseases (chronic obstructive pulmonary disease, pneumonia, congestive heart failure, angina, diabetes, chronic renal failure, bipolar disorder, and major depression). We analyzed their use of hospital and outpatient services by assessing the risk-adjusted numbers of hospital days (the average number of days a patient spent in the hospital per 12 months of follow-up, regardless of the number of hospital stays), hospital-discharge rates, and clinic-visit rates from 1991 through 1995 for the entire system and within the 22 geographically based health care networks. RESULTS: We found substantial geographic variation in hospital use for all eight cohorts of patients and all the years studied. Variations in the numbers of hospital days per person-year among the networks were greatest among patients with chronic obstructive pulmonary disease (ranging from a factor of 2.7 to a factor of 3.1) during a given year and smallest among patients with angina (ranging from a factor of 1.5 to a factor of 2.1). Levels of hospital use were highest in the Northeast and lowest in the West. The variation in the rates of clinic visits for principal medical care among the networks ranged from a factor of approximately 1.6 to a factor of 4.0; variations in the rates were greatest among patients with chronic renal failure and smallest among patients with chronic obstructive pulmonary disease. There was no clear geographic pattern in the rates of outpatient-clinic use. CONCLUSIONS: There are significant geographic variations in the use of hospital and outpatient services in the VA health care system. Because VA physicians are unable to increase their income by changing their patterns of practice, our findings suggest that their practice styles are similar to those of other physicians in their geographic regions.

Chronic Disease↗
PubMed1999

The association of quality of care and occurrence of in-hospital, treatment-related complications.

BACKGROUND: Little data exist supporting the association of quality of care and nonfatal adverse outcomes in hospitalized patients, yet those outcomes are routinely scrutinized in quality assessment efforts. OBJECTIVE: To determine whether measurable differences in quality of care are associated with the occurrence of non-fatal, in-hospital, and treatment-related complications. DESIGN: Retrospective cohort study. SUBJECTS: A total of 2,268 patients who were discharged alive from 9 Southwestern Veterans Affairs Medical Centers with congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) or diabetes mellitus. MEASURES: Retrospective chart review was performed to collect information on patient severity of illness, in-hospital complication occurrence, and process quality of care. Process quality was assessed as the adherence scores for admission work-up and for treatment during the hospital stay. Process quality represents the proportion of applicable admission or treatment criteria that were met by that patient's care providers. Once severity of illness was taken into account Cox proportional hazards regression was used to assess the independent contribution of process quality of care to complication occurrence. RESULTS: Higher admission work-up adherence scores for COPD patients and higher treatment adherence scores for COPD and diabetes patients were associated with a lower risk of complication occurrence. The adjusted risk ratios of complications for higher versus lower adherence scores (with 95% CI) were 0.64 (0.43, 0.97) and 0.52 (0.33, 0.80) for admission and treatment, respectively, in COPD patients, and 0.51 (0.31, 0.83) for treatment in diabetics. No significant association was found in CHF patients. CONCLUSION: Better admission work-up and treatment quality in COPD patients, as well as treatment quality in diabetic patients, are associated with lower risk of nonfatal treatment-related complications in the study population.

APACHE↗
PubMed1999

Assessing the performance of utility techniques in the absence of a gold standard.

BACKGROUND: Utility techniques are the most commonly used means to assess patient preferences for health outcomes. However, whether utility techniques produce valid measures of preference has been difficult to determine in the absence of a gold standard. OBJECTIVE: To introduce and demonstrate two methods that can be used to evaluate how well utility techniques measure patients' preferences. SUBJECTS AND DESIGN: Patients treated for advanced prostate cancer (n = 57) first ranked eight health states in order of preference. Four utility techniques were then used to elicit patients' utilities for each health state. MEASURES: The rating scale, standard gamble, time trade-off, and a modified version of willingness-to-pay techniques were used to elicit patients' utilities. Technique performance was assessed by computing a differentiation and inconsistency score for each technique. RESULTS: Differentiation scores indicated the rating scale permitted respondents to assign unique utility values to about 70% of the health states that should have received unique values. When the other techniques were used, about 40% or less of the health states that should have received unique utility scores actually did receive unique utility scores. Inconsistency scores, which indicate how often participants assign utility scores that contradict how they value health states, indicated that the willingness-to-pay technique produced the lowest rate of inconsistency (10%). However, this technique did not differ significantly from the rating scale or standard gamble on this dimension. CONCLUSIONS: Differentiation and inconsistency offer a means to evaluate the performance of utility techniques, thereby allowing investigators to determine the extent to which utilities they have elicited for a given decision problem are valid. In the current investigation, the differentiation and inconsistency methods indicated that all four techniques performed at sub-optimal levels, though the rating scale out-performed the standard gamble, time trade-off, and willingness-to-pay techniques.

Aged↗
PubMed1999

An empirical assessment of the validity of explicit and implicit process-of-care criteria for quality assessment.

OBJECTIVE: To evaluate the validity of three criteria-based methods of quality assessment: unit weighted explicit process-of-care criteria; differentially weighted explicit process-of-care criteria; and structured implicit process-of-care criteria. METHODS: The three methods were applied to records of index hospitalizations in a study of unplanned readmission involving roughly 2,500 patients with one of three diagnoses treated at 12 Veterans Affairs hospitals. Convergent validity among the three methods was estimated using Spearman rank correlation. Predictive validity was evaluated by comparing process-of-care scores between patients who were or were not subsequently readmitted within 14 days. RESULTS: The three methods displayed high convergent validity and substantial predictive validity. Index-stay mean scores, using explicit criteria, were generally lower in patients subsequently readmitted, and differences between readmitted and nonreadmitted patients achieved statistical significance as follows: mean readiness-for-discharge scores were significantly lower in patients with heart failure or with diabetes who were readmitted; and mean admission work-up scores were significantly lower in patients with lung disease who were readmitted. Scores derived from the structured implicit review were lower in patients eventually readmitted but significantly so only in diabetics. CONCLUSIONS: These three criteria-based methods of assessing process of care appear to be measuring the same construct, presumably "quality of care." Both the explicit and implicit methods had substantial validity, but the explicit method is preferable. In this study, as in others, it had greater inter-rater reliability.

Case-Control Studies↗
PubMed1999

The health status of veterans using mobile clinics in rural areas.

Between 1992 and 1994, the Department of Veterans Affairs (VA) experimented with mobile clinics to provide health care for rural veterans. The objective was to assess the health status of rural mobile clinics' patients and compare this with patients receiving care in VA hospital-based clinics. This study hypothesized that hospital-based clinic patients would be more ill (i.e., have a greater reduction in health status). The Medical Outcomes Study (MOS) Short Form was used to evaluate patients' health status. Most patients sought care for the management of chronic disease. Patients in both groups had similar types of diseases. Mobile clinic patients were as ill as hospital-based patients (i.e., similar health status scores). This study shows that rural veterans have a case mix and a reduction in health status similar to that of VA hospital-based patients. Planners should account for this health reduction when planning the kinds of facilities and services needed in rural areas.

Chronic Disease↗
PubMed1999

The hospital multistay rate as an indicator of quality of care.

OBJECTIVES: To evaluate the hospital multistay rate to determine if it has the attributes necessary for a performance indicator that can be applied to administrative databases. DATA SOURCES/STUDY SETTING: The fiscal year 1994 Veterans Affairs Patient Treatment File (PTF), which contains discharge data on all VA inpatients. STUDY DESIGN: Using a retrospective study design, we assessed cross-hospital variation in (a) the multistay rate and (b) the standardized multistay ratio. A hospital's multistay rate is the observed average number of hospitalizations for patients with one or more hospital stays. A hospital's standardized multistay ratio is the ratio of the geometric mean of the observed number of hospitalizations per patient to the geometric mean of the expected number of hospitalizations per patient, conditional on the types of patients admitted to that hospital. DATA COLLECTION/EXTRACTION METHODS: Discharge data were extracted for the 135,434 VA patients who had one or more admissions in one of seven disease groups. PRINCIPAL FINDINGS: We found that 17.3 percent (28,300) of the admissions in the seven disease categories were readmissions. The average number of stays per person (multistay rate) for an average of seven months of follow-up ranged from 1.15 to 1.45 across the disease categories. The maximum standardized multistay ratio ranged from 1.12 to 1.39. CONCLUSIONS: This study has shown that the hospital multistay rate offers sufficient ease of measurement, frequency, and variation to potentially serve as a performance indicator.

Algorithms↗
PubMed1998

The Veterans Affairs medical care system: hospital and clinic utilization statistics for 1994.

OBJECTIVES: The authors describe the role the Veterans Affairs (VA) medical system plays as a provider of clinic and hospital services by examining utilization levels and users' characteristics. METHODS: The Veterans Affairs hospital discharge database, the Veterans Affairs outpatient clinic files, and the veteran population files were used to estimate the number of persons using the Veterans Affairs medical care system in 1994 and the intensity of their clinic and hospital use. Demographic and clinical characteristics of users were tabulated. RESULTS: In 1994, 2.7 million veterans, 10.3% of all US veterans, and approximately 23% of veterans who would have met the statutory eligibility requirements for Veterans Affairs care, used the hospital and/or clinic components of the Veterans Affairs medical system. Sixty-three percent of the system's users were younger than age 65, and 10.5% were women. These 2.7 million veterans had 901,665 Veterans Affairs hospital stays, 15.5 million bed-days, and 31.2 million outpatient visits in fiscal year 1994. The average number of hospitalizations per hospital user was 1.71; the average number of visits per clinic user was 11.7. Medical, surgical, and psychiatric diagnosis-related groups (DRGs) accounted for 56%, 21%, and 23%, respectively, of hospitalizations, but psychiatric diagnosis-related groups accounted for 43% of all inpatient days. Principal medicine clinic visits and psychiatry clinic visits accounted for 21% and 16% of Veterans Affairs ambulatory care. CONCLUSIONS: Because the patient population served by the Veterans Affairs system is skewed in a number of ways, its contribution as a provider of health services in the United States varies by gender, age, socioeconomic status, and diagnosis.

Adult↗
PubMed1998

Impact of an all-inclusive diagnosis-related group payment system on inpatient utilization.

OBJECTIVES: Although case-based payment is one of the main reimbursement mechanisms for hospitals, little is known about its effects in the general population. Prior studies have focused on Medicare or on all-payer systems in particular states. This study estimates the effect of a prospective payment system based on diagnosis-related groups (DRGs) nationwide in the Department of Veterans Affairs. METHODS: Multiple regression analysis was used to estimate the effect of Department of Veterans Affairs's diagnosis-related group system separately for 22 diagnoses. The dependent variables were length of stay, inpatient days per patient, and discharges per patient. Covariates included patient, hospital, and area characteristics. RESULTS: Department of Veterans Affairs's diagnosis-related group system reduced lengths of stay and inpatient days per patient. The largest impacts were for the psychiatric diagnoses and several surgical procedures. The magnitudes of the effects were generally moderate. Department of Veterans Affairs's case-based system had a negligible effect on discharges per patient. CONCLUSIONS: Per case reimbursement is a potentially useful tool for improving the efficiency of inpatient care for all types of diagnoses and age groups. The effect may be larger than estimated here because of institutional barriers and caps on financial impact.

Aged↗
PubMed1997

International Classification of Diseases, 9th Revision, Clinical Modification codes in discharge abstracts are poor measures of complication occurrence in medical inpatients.

OBJECTIVES: The authors tested the ability of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes in discharge abstracts to identify medical inpatients who experienced an in-hospital complication, using complications identified through chart review as the gold standard. METHODS: Two sets of ICD-9-CM codes were used: an inclusive set including many medical diagnoses that may also be coexistent complicating conditions on admission rather than complications and an exclusive set consisting primarily of ICD-9-CM-specified complication and adverse drug event codes. RESULTS: Neither set performed well as a diagnostic test for complication occurrence according to receiver operating characteristic analysis (ROC areas were 0.61 for the inclusive set and 0.55 for the exclusive set). Sensitivities of the ICD-9-CM codes for complications were 0.34 for the inclusive set and 0.14 for the exclusive set. Corresponding positive predictive values were 0.32 and 0.37, respectively. Sensitivities of code definitions for individual complications were generally poor, less than 0.5 in most cases. CONCLUSIONS: The authors conclude that ICD-9-CM codes in discharge abstracts are poor measures of complication occurrence.

Abstracting and Indexing↗
PubMed1997

Application of an analytic model to early readmission rates within the Department of Veterans Affairs.

OBJECTIVES: Adverse outcome rates are increasingly used as yardsticks for the quality of hospital care. However, the validity of many outcome studies has been undermined by the application of one outcome to all patients in large, diagnostically diverse populations, many of which lack evidence of a link between antecedent process of care and the rate of the outcome, the underlying assumption of the analysis. METHODS: To address this analytic problem, the authors developed a model that improves the ability to identify quality problems because it selects diseases for which there are processes of care known to affect the outcome of interest. Thus, for these diseases, the outcome is most likely to be causally related to the antecedent care. In this study of hospital readmissions, risk-adjusted models were created for 17 disease categories with strong links between process and outcome. Using these models, we identified outlier hospitals. RESULTS: The authors hypothesized that if the model improved on identifying hospitals with quality of care problems, then outlier status would not be random. That is, hospitals found to have extreme rates in one year would be more likely to have extreme rates in subsequent years, and hospitals with extreme rates in one condition would be more likely to have extreme rates in related disease categories. It was hypothesized further that the correlation of outlier status across time and across diseases would be stronger in the 17 disease categories selected by the model than in 10 comparison disease categories with weak links between process and outcome. CONCLUSIONS: The findings support all these hypotheses. Although the present study shows that the model selects disease-outcome pairs where hospital outlier status is not random, the causal factors leading to outlier status could include (1) systematic unmeasured patient variation, (2) practice pattern variation that, although stable with time, is not indicative of substandard care, or (3) true quality-of-care problems. Primary data collection must be done to determine which of these three factors is most causally related to hospital outlier status.

Health Services Research↗
PubMed1997

The association between the quality of inpatient care and early readmission: a meta-analysis of the evidence.

OBJECTIVES: To help resolve the current controversy over the validity of early readmission as an indicator of the quality of care, the authors critically reviewed the literature using meta-analysis to derive summary estimates of effect and evaluate inter-study heterogeneity. METHODS: The authors selected reports meeting five criteria: (1) presentation of new data on medical-surgical hospitalization of adults; (2) measurement of outcome as a person-specific readmission; (3) readmission within < or = 31 days; (4) examination of some aspect of the process of inpatient care; (5) inclusion of a comparison group. One meta-analysis examined 13 comparisons of readmission rates after substandard versus normative care, another examined 9 comparisons of readmission rates after normative versus exceptional care, and the third examined all 22 comparisons together. Two authors applied inclusion criteria and extracted data on methods and findings. Two others classified studies on 11 methodological variables for the heterogeneity evaluation. RESULTS: The summary odds ratio for readmission after substandard care was 1.24 (0.99-1.57) relative to normative care; for readmission after normative care the summary odds ratio was 1.45 (0.90-2.33) relative to exceptional care. The individual odds ratios varied significantly (chi2, 21 df = 50.34, P = 0.0003). Most of the variance in study odds ratios could be explained by whether the study focused on the quality of patient care or the qualifications of patient care providers. The summary odds ratio for the 16 homogeneous comparisons focusing on the quality of patient care was 1.55 (1.25-1.92). CONCLUSIONS: Early readmission is significantly associated with the process of inpatient care. The risk of early readmission is increased by 55% when care is of relatively low quality, that is, substandard or normative instead of normative or exceptional.

Adult↗