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[Allocation of cognitive resources during the simultaneous performance of cognitive and sensorimotor tasks].

We review research on the allocation of cognitive resources during the simultaneous performance of cognitive and sensorimotor tasks. From the developmental and clinical perspectives,we emphasize: (1) the distinction between the availability and the allocation of resources, (2) lifespan changes in relation to the environmental validity of sensorimotor functions, and (3) the potentials and limitations for an individuals' adaptations to multi-task constraints. These aspects can be operationalized within the framework of selection, optimization, and compensation (SOC). Related studies focus on older individuals' selective resource allocation and compensatory processes as adaptive means in the context of reduced resources and decreased sensorimotor functioning. Results show that older adults must invest increasing amounts of their cognitive resources into the coordination of bodily functions such as balance and gait. SOC research on Alzheimer's patients provides new insights into the increased risks of falling. We argue that adaptive resource allocation in everyday sensorimotor performance is an instance of intelligent behavior that is insufficiently represented in extant psychometric tests.

Accidental Falls↗

Predicting admission rates to secure forensic psychiatry services.

BACKGROUND: The planning and development of secure forensic psychiatry services for mentally disordered offenders in England and Wales has proceeded independently within different regional areas. However, certain mental disorders, offenders, and offending behaviour are all more prevalent in geographical areas characterized by socio-economic deprivation and social disorganization. Failure to consider these factors has led to inadequate service provision in some areas and inequity in funding. A new model is required to predict admissions to these services as an aid to resource allocation. METHOD: Actual admissions (N = 3155) to high and medium secure psychiatric services for seven of 14 (pre-reorganization) Regional Health Authorities, 1988-94. Expected admissions were calculated for each district using 1991 census data adjusted for under-enumeration. Standardized psychiatric admission ratios were calculated and a range of social, health status, and service provision data were used as explanatory variables in a regression analysis to determine variation between districts. RESULTS: Actual psychiatric admissions varied from 160% above to 62% below expected for age, sex, and marital status, according to patients' catchment area of origin, measured according to deciles of the distribution of underprivileged area scores at ward level. The most powerful explanatory variables included a composite measure of social deprivation, ethnicity and availability of low secure beds at regional level. CONCLUSION: Admission rates to secure forensic psychiatry services demonstrate a linear correlation with measures of socio-economic deprivation in patients catchment area of origin. A model was developed to predict admissions from District Health Authorities and is recommended for future use in resource allocation. Identification of factors that explain higher admission rates of serious offenders with mental disorder from deprived areas is a priority for future research.

Adult↗

Use of the Nottingham Health Profile to test the validity of census variables to proxy the need for health care.

BACKGROUND: Data on health or health service use are invariably used to test the validity of proxy measures of need, for use in resource allocation formulae. Perceived health state is a good measure to use in this respect, as it is closely linked to perceived need and the decision to consult health services. This being the case, a large community based study was undertaken which collected data on perceived health, using the Nottingham Health Profile (NHP), with the aim of testing the validity of a variety of Census based measures as proxy measures of the need for health care. METHOD: A postal questionnaire survey of 9565 people living in the former South East Thames Regional Health Authority was conducted and the relationship between their perceived health state and the socio-economic characteristics of their electoral ward of residence analysed. RESULTS: A relatively low response rate (59 per cent) weakened any conclusions to be drawn from the results. However, significant correlations between perceived health and a variety of the Census based indicators were found. The highly skewed distribution of responses to the NHP statements made the results difficult to analyse and interpret. CONCLUSIONS: Although the study gave an indication of those variables that might be incorporated into resource allocation formulae, the NHP is not a particularly efficient instrument to use in a community setting. It is argued that the appropriateness of an approach to determining appropriate needs weights in allocation formulae, which attempts to find one indicator of all health care needs at the District Health Authority level, must be questioned.

Adolescent↗

Accuracy of terminology and methodology in economic analyses in otolaryngology.

OBJECTIVE: Economic studies increasingly guide health care resource allocation decisions. Because rigorous adherence to accepted definitions and research techniques is critical to ensure accuracy, we evaluated the terminology and methods of otolaryngology economic analyses. STUDY DESIGN: A total of 71 articles published from 1990 to 1999 in 6 peer-reviewed otolaryngology journals with terms such as "cost-effective" in their title or representing economic analyses were reviewed for terminology and use of established methodology guidelines. RESULTS: Over half (35 of 66) of terms such as "cost-effective" were used incorrectly, and 60% of articles (39 of 64) confused "charge" and "cost" data. Eleven percent (7 of 64) of papers specified the perspective of their analysis. About half (17 of 30) reported a summary measure such as a cost-effectiveness ratio. Only one third (23 of 63) performed sensitivity analyses. CONCLUSION: Adherence to accepted definitions and research methods is inconsistent, although we did note moderate improvements in making the distinction between costs and charges, defining of study perspective, and performing sensitivity analysis. SIGNIFICANCE: Greater attention to both terminology and methodology can enhance the quality of economic analyses and ultimately improve certain resource allocation decisions.

Bibliometrics↗

Errors in postcode to enumeration district mapping and their effect on small area analyses of health data.

BACKGROUND: Health research often seeks to associate individuals to their socio-economic circumstances by linking an individual's postcode to their Census enumeration district (ED). As part of a study into health visitor resource allocation the objective here is to quantify the errors that arise in attaching ED level deprivation scores to records and counts of records by ED when records are matched to EDs via their postcodes rather than their exact address. METHODS: The result of routine matching of postcodes to EDs was compared with the more accurate method of matching addresses to EDs. Townsend scores were then attributed to records according to the two different methods and the results compared. A sample of 4013 births registered in Sheffield in 1996 was used. RESULTS: The comparative work showed that the mismatching of individual addresses arising from matching postcodes to EDs was 16.4 per cent. (The 95 per cent confidence interval is 15.1-17.7 per cent.) Over one-third of mismatched records (about 6 per cent of the total records) were found to have Townsend scores greater than +/- 2 compared with the score obtained through the more accurate process of address matching. CONCLUSIONS: The evidence of the study is that it is important to recognize there are errors inherent in matching individual addresses to EDs via the address postcode. For problems involving resource allocation and for research into relationships between health outcomes or service uptake and deprivation it may be necessary to seek to quantify the level of error introduced through using postcode to ED matching.

Bias↗

Epidemiology of incident spinal fracture in a complete population.

STUDY DESIGN: Cross-section observational study of incident spinal fractures using an administrative data-base. OBJECTIVES: To identify and define all patients who have spinal fractures within a complete population. SUMMARY OF BACKGROUND DATA: The true incidence of spinal column and cord injury is not known. Previous studies have been institutional or practice based. Accurate information concerning the magnitude of the spinal injury population and their characteristics may provide more rational basis for public health decision making and resource allocation. METHODS: The study dates were April 1, 1981 to March 31, 1984. Using the Manitoba Health Services Insurance Plan database, all patients with ICD-9-CM coding of 805.x and 806.x (spinal column fracture with and without spinal cord injury) were identified. Incidence rates, age and gender distribution, and ambulatory and hospital contracts were identified. Hospital discharge abstracts were used to classify mechanisms of injury, associated injuries, and length of stay. RESULT: The annual incidence rate of spinal fracture was 64 per 100,000. Two thousand sixty-three patients were identified, with 944 being admitted to the hospital. There were two peaks of incidence occurring in young men and elderly women. Of the hospitalized patients, 182 had cervical injury, 286 had thoracic fracture, and 403 had injury in the lumbosacral spine Associated injuries occurred in 38% of hospitalized patients. Length of stay was an average of 38.5 days. Overall mortality was 41%. Neurologic injury occurred in 122 patients. CONCLUSIONS: Ambulatory care of spine injuries is more common than hospital care. Two peaks of incidence occur-in young men and elderly women. Future decisions for research, public health policy, and resource allocation can be based on these data.

Adolescent↗

Cost analysis of current therapies for limited coronary artery revascularization.

BACKGROUND: Single or double (limited) coronary artery revascularization using percutaneous transluminal coronary angioplasty (PTCA) and coronary artery bypass (CAB) surgery has recently been enhanced with further innovation in intracoronary stenting and the emergence of minimally invasive direct coronary artery bypass (MIDCAB) grafting. Resource allocation for all modalities is directly dependent on hospitalization costs, length of stay, and clinical results. METHODS AND RESULTS: Four groups of 25 consecutive patients over 9 months at a single center received either PTCA, stenting, MIDCAB, or conventional CAB for single-vessel coronary disease, primarily of the left anterior descending circulation. Day, supply, and procedural charges were evaluated, along with the total hospital charge. Postprocedural length of stay was calculated and compared with a national database. MIDCAB surgery day charges were less than stenting but greater than PTCA, MIDCAB supply charges were the least of all groups, and MIDCAB procedural charges were less than for conventional CAB. Total charges for MIDCAB grafting were less than for stenting but greater than for PTCA. Postprocedural length of stay for MIDCAB patients was equivalent to PTCA patients and significantly less than for stenting or for conventional CAB. CONCLUSIONS: MIDCAB grafting provides a new surgical approach that is comparable in charges to catheter-based interventions. The technique markedly reduces length of stay and perioperative morbidity. The selection of medical or surgical limited coronary revascularization can now be based primarily on clinical outcomes without consideration for associated resource allocation.

Aged↗

Predicting psychiatric admission rates.

OBJECTIVE: To determine the numbers of actual and expected psychiatric admissions for the residents of the district health authorities of England and to develop a model to indicate which social, health status, and service provision factors best explain the variation of the actual from the expected psychiatric admissions; to use this model to predict psychiatric admission for district health authorities as an aid to resource allocation. DESIGN: The actual psychiatric admission for district health authority residents were extracted from data of the 1986 Mental Health Enquiry. Expected admissions were calculated using the age, sex, and marital status structure of each district health authority and the national psychiatric admission rates related to age, sex, and marital status. Standardised psychiatric admission ratios were calculated as the ratios of the numbers of actual to expected psychiatric admissions. A wide range of social, health status, and service provision data were used as the explanatory variables in regression analyses to determine which combination of factors best explained the variation between districts of standardised psychiatric admission ratios. SETTING: The 168,652 psychiatric admissions recorded for the 1986 Mental Health Enquiry, after exclusion of mental handicap and psychogeriatric admissions. RESULTS: The actual number of psychiatric admissions varied from 79% above to 54% below the expected number of admissions from age, sex, and marital status for the districts of England. The most powerful variables to explain this variation were the rate of notification of drug misusers, standardised mortality ratios, and levels of illegitimacy in each district. A complex model was developed which could be used to predict district psychiatric admissions as an aid to resource allocation. A simpler model was also developed (which was less powerful than the more complex model) based on the underprivileged area score. One advantage of this model was that it could be used at the level of electoral wards as well as district health authorities.

Adolescent↗

Complicated deliveries, critical care and quality in emergency obstetric care in Northern Tanzania.

Our objective was to determine the availability and quality of obstetric care to improve resource allocation in northern Tanzania. We surveyed all facilities providing delivery services (n=129) in six districts in northern Tanzania using the UN Guidelines for monitoring emergency obstetric care (EmOC). The three last questions in this audit outline are examined: Are the right women (those with obstetric complications) using emergency obstetric care facilities (Met Need)? Are sufficient quantities of critical services being provided (cesarean section rate (CSR))? Is the quality of the services adequate (case fatality rate (CFR))? Complications are calculated using Plan 3 of the UN Guidelines to assess the value of routine data for EmOC indicator monitoring. Nearly 60% of the expected complicated deliveries in the study population were conducted at EmOC qualified health facilities. 81.2% of the expected complicated deliveries are conducted in any facility (including facilities not qualifying as EmOC facilities). There is an inadequate level of critical services provided (CSR 4.6). Voluntary agencies provide most of these services in rural settings. All indicators show large variations with the setting (urban/rural location, level and ownership of facilities). Finally, there is large variation in the CFR with only one facility meeting the minimum accepted level. Utilization and quality of critical obstetric services at lower levels and in rural districts must be improved. The potential for improving the resource allocation within lower levels of the health care system is discussed. Given the small number of qualified facilities yet relatively high Met Need, we argue that it is neither the mothers' ignorance nor their lack of ability to get to a facility that is the main barrier to receiving quality care when needed, but rather the lack of quality care at the facility. Little can be concluded using the CFR to describe the quality of services provided.

Critical Care↗

Deprivation and cause specific morbidity: evidence from the Somerset and Avon survey of health.

OBJECTIVE: To investigate the association between cause specific morbidity and deprivation in order to inform the debates on inequalities in health and health services resource allocation. DESIGN: Cross sectional postal questionnaire survey ascertaining self reported health status, with validation of a 20% sample through general practitioner and hospital records. SETTING: Inner city, urban, and rural areas of Avon and Somerset. SUBJECTS: Stratified random sample of 28,080 people aged 35 and over from 40 general practices. MAIN OUTCOME MEASURES: Age and sex standardised prevalence of various diseases; Townsend deprivation scores were assigned by linking postcodes to enumeration districts. Relative indices of inequality were calculated to estimate the magnitude of the association between socioeconomic position and morbidity. RESULTS: The response rate was 85.3%. The prevalence of most of the conditions rose with increasing material deprivation. The relative index of inequalilty, for both sexes combined, was greater than 1 for all conditions except diabetes. The conditions most strongly associated with deprivation were diabetic eye disease (relative index of inequality 3.21; 95% confidence interval 1.84 to 5.59), emphysema (2.72; 1.67 to 4.43) and bronchitis (2.27; 1.92 to 2.68). The relative index of inequality was significantly higher in women for asthma (P < 0.05) and in men for depression (P < 0.01). The mean reporting of prevalent conditions was 1.07 for the most deprived fifth of respondents and 0.77 in the most affluent fifth (P < 0.001). CONCLUSIONS: Material deprivation is strongly linked with many common diseases. NHS resource allocation should be modified to reflect such morbidity differentials.

Adult↗

Economic assessment of the general thoracic surgery outpatient service.

BACKGROUND: One aspect of the definition of institutional value for any program is based on the return on investment (ROI) for that program. Program requests for future resource allocations depend, in part, on that information. The purpose of this project was to determine the ROI for initial outpatient visits only for our General Thoracic Surgery (GTS) program. METHODS: The number of GTS outpatient visits, studies, and requested consultations ordered by GTS surgeons only was determined after review of the hospital database and office records for the calendar year 2003. Only charges associated with the initial outpatient visits (no inpatient or physician charges) were included. Charges were based on hospital finance department data. The ROI for GTS outpatient services was calculated using total hospital costs and hospital collections. RESULTS: There were 689 initial outpatient GTS visits. The majority were for lung cancer (48%), benign lung diseases (21%), and esophageal diseases (14%). Total outpatient charges were 1.25M dollars and by disease process were lung cancer (644,000 dollars), benign lung disease (90,000 dollars), esophageal disease (159,000 dollars), and other (357,000 dollars). The most significant hospital charges were the following: radiology (850,000 dollars), laboratory studies (82,000 dollars), gastrointestinal medicine studies (59,000 dollars), and cardiology (42,000 dollars). Total operational costs for the GTS clinic were 415,000 dollars and hospital collections were 513,000 dollars, yielding an ROI of 98,000 dollars or an operating margin of 19%. CONCLUSIONS: An operating margin of 19% for GTS outpatient services is better than most Fortune 500 companies. Acquisition of this type of information by GTS surgeons may be helpful for future program development and institutional resource allocation.

Clinical Laboratory Techniques↗

Health-related quality of life after stroke a comprehensive review.

BACKGROUND AND PURPOSE: We performed a comprehensive review of all quality-of-life (QOL) estimates for stroke appearing in the peer-reviewed literature between 1985 and 2000. We examine variation in QOL weights and the rigor of methods used to assess QOL and discuss the implications for cost-utility assessment and resource allocation decisions. METHODS: Through a systematic search, we identified 67 articles that met our inclusion criteria. A team of trained researchers read each article and followed detailed guidelines to extract QOL weights and other parameters. This effort yielded 161 QOL estimates for stroke-related health states. All estimates were measured on a 0 to 1 scale, with 0 representing the worst outcome and 1 representing the best. RESULTS: QOL estimates range from -0.02 to 0.71 (n=67) for major stroke, from 0.12 to 0.81 (n=14) for moderate stroke, from 0.45 to 0.92 (n=38) for minor stroke, and from 0.29 to 0.903 (n=42) for general stroke. Although QOL should decrease with severity, there were many instances in which the QOL for major stroke as reported by one study exceeded the QOL for moderate stroke as reported by another. The same reversal was found for moderate and minor stroke, and it occurred even when both authors used similar assessment methods and subject populations. Authors of cost-utility and decision analyses rarely base their choice of QOL weights on their own primary data (19%). When obtaining weights from secondary sources, some authors (23%) chose QOL weights for a severity of stroke that did not match the severity for which they sought data. CONCLUSIONS: QOL estimates for stroke vary greatly and are not always estimated in sound fashion. This impedes the comparability and quality of the cost-effectiveness studies that use these QOL weights and hampers good resource allocation decisions.

Cost-Benefit Analysis↗

Incidence and costs of acute medical conditions in long-stay incontinent nursing home residents.

OBJECTIVES: To determine the incidence of acute medical conditions in incontinent nursing home residents, and associated costs of diagnostic testing and treatment DESIGN: Prospective, cohort study. SETTING: Three community nursing homes. PARTICIPANTS: 161 long-stay residents with urinary incontinence in (mean age 86 years, 77% female, 92% white). MEASUREMENTS: Acute medical conditions were identified prospectively through medical record review based on standardized criteria. All diagnostic testing and treatment provided for these conditions were recorded, and related costs in the nursing home were assigned based on 1997-1998 Medicare and Medicaid reimbursement. RESULTS: The highest incidences of illness were for dermatological conditions (107 episodes per 1000 patient-weeks, involving 70% of subjects), respiratory illnesses (29 per 1000 patient-weeks, 47% of subjects) and gas-trointestinal illnesses (24 per 1000 patient-weeks, 36% of subjects). Among episodes with an incidence of at least 5 per 1000 patient-weeks, the illness events with the highest median diagnostic testing and treatment costs per episode were pneumonia, acute bronchitis, and depression. Only 42 out of the total 1071 episodes identified resulted in a hospitalization. Significant predictors of higher illness incidence included greater baseline comorbidity and higher number of routine medications (model adjusted R-square = 0.319, P = 0.021). CONCLUSION: Acute illness is very common among incontinent nursing home residents, and is generally diagnosed and treated at the nursing home site, with variation among conditions in associated costs. Important policy implications include resource allocation (including appropriate staffing patterns), educational and quality improvement activities, and future research and guideline development for the optimal management of medical conditions in the nursing home setting.

Acute Disease↗

Cross-validation performance of mortality prediction models.

Mortality prediction models hold substantial promise as tools for patient management, quality assessment, and, perhaps, health care resource allocation planning. Yet relatively little is known about the predictive validity of these models. We report here a comparison of the cross-validation performance of seven statistical models of patient mortality: (1) ordinary-least-squares (OLS) regression predicting 0/1 death status six months after admission; (2) logistic regression; (3) Cox regression; (4-6) three unit-weight models derived from the logistic regression, and (7) a recursive partitioning classification technique (CART). We calculated the following performance statistics for each model in both a learning and test sample of patients, all of whom were drawn from a nationally representative sample of 2558 Medicare patients with acute myocardial infarction: overall accuracy in predicting six-month mortality, sensitivity and specificity rates, positive and negative predictive values, and per cent improvement in accuracy rates and error rates over model-free predictions (i.e., predictions that make no use of available independent variables). We developed ROC curves based on logistic regression, the best unit-weight model, the single best predictor variable, and a series of CART models generated by varying the misclassification cost specifications. In our sample, the models reduced model-free error rates at the patient level by 8-22 per cent in the test sample. We found that the performance of the logistic regression models was marginally superior to that of other models. The areas under the ROC curves for the best models ranged from 0.61 to 0.63. Overall predictive accuracy for the best models may be adequate to support activities such as quality assessment that involve aggregating over large groups of patients, but the extent to which these models may be appropriately applied to patient-level resource allocation planning is less clear.

Discriminant Analysis↗

Cancer prevalence in European registry areas.

BACKGROUND: Information on cancer prevalence is of major importance for health planning and resource allocation. However, systematic information on cancer prevalence is largely unavailable. MATERIALS AND METHODS: Thirty-eight population-based cancer registries from 17 European countries, participating in EUROPREVAL, provided data on almost 3 million cancer patients diagnosed from 1970 to 1992. Standardised data collection and validation procedures were used and the whole data set was analysed using proven methodology. The prevalence of stomach, colon, rectum, lung, breast, cervix uteri, corpus uteri and prostate cancer, as well as of melanoma of skin, Hodgkin's disease, leukaemia and all malignant neoplasms combined, were estimated for the end of 1992. RESULTS: There were large differences between countries in the prevalence of all cancers combined; estimates ranged from 1170 per 100000 in the Polish cancer registration areas to 3050 per 100000 in southern Sweden. For most cancers, the Swedish, Swiss, German and Italian areas had high prevalence, and the Polish, Estonian, Slovakian and Slovenian areas had low prevalence. Of the total prevalent cases, 61% were women and 57% were 65 years of age or older. Cases diagnosed within 2 years of the reference date formed 22% of all prevalent cases. Breast cancer accounted for 34% of all prevalent cancers in females and colorectal cancer for 15% in males. Prevalence tended to be high where cancer incidence was high, but the prevalence was highest in countries where survival was also high. Prevalence was low where general mortality was high (correlation between general mortality and the prevalence of all cancers = -0.64) and high where gross domestic product was high (correlation = +0.79). Thus, the richer areas of Europe had higher prevalence, suggesting that prevalence will increase with economic development. CONCLUSIONS: EUROPREVAL is the largest project on prevalence conducted to date. It has provided complete and accurate estimates of cancer prevalence in Europe, constituting essential information for cancer management. The expected increases in prevalence with economic development will require more resources; allocation to primary prevention should therefore be prioritised.

Adolescent↗

The role of comorbidity burden for patients with symptomatic peripheral arterial disease (PAD). A quantitative approach.

AIM: Comorbidity will play an increasingly important role in PAD management. Therefore, we aimed 1) to address the comorbidity load of PAD patients quantitatively and comprehensively, 2) to delineate the effects of composite comorbidity measures on general and disease-specific aspects of quality of life and on crude markers of resource allocation. METHODS: One hundred and one consecutive symptomatic PAD patients (80 males, 21 females; mean age: 66.4 +/- 9.1 years) were assessed by means of a cumulative illness rating scale (CIRS: 14 items; individual item rating from 1 for no through 5 for life-threatening impairment). Outcome measures were the illness severity score (CIRS-IS, mean of all single item scores) and the comorbidity index (CIRS-CI, number of single items with a score of 3, 4 or 5). These comorbidity indices of the PAD patients were compared with those of both 89 elderly community-dwelling volunteers (44 males, 45 females, mean age 77.4 +/- 5.3 years) we had investigated previously and 439 geriatric residents (121 males, 318 females; mean age 84.1 +/- 5.7 years) reported by Parmelee et al. in 1995. Furthermore, the PAD patients estimated their quality of life (LQ), subjective health status (HS), leg pains during either rest or walking on rating scales (ranging from 0 for the best to 10 for the worst result). RESULTS: PAD patients showed very high comorbidity indices and illness severity scores (CIRS-CI: 3.98 +/- 1.60; CIRS-IS: 1.86 +/- 0.29). These proved to be greater than those of both fit community-dwelling elderly subjects (CIRS-CI: 1.82 +/- 1.46; CIRS-IS: 1.62 +/- 0.22) and older institution residents (CIRS-CI: 2.17 +/- 1.85; CIRS-IS: 1.64 +/- 0.34). Furthermore, both CIRS-CI and CIRS-IS were significantly greater in patients with more advanced PAD stage. These indices of comorbidity load were also associated with quality-of-life impairments (r=0.253, p=0.0186), degree of ischemic rest pain (r=0.251, p=0.0196), extent of medication usage (r=0.511, p<0.0001) as well as duration of in-hospital stay (r=0.271, p=0.0084). CONCLUSION: PAD patients have a markedly increased comorbidity burden. This was greater in the more advanced PAD stages and significantly associated with quality-of-life reductions and the extent of resource allocation. A quantitative approach to the comorbidity load in PAD patients appears to be possible by means of such a scale and useful for both clinical and socioeconomic purposes.

Aged↗

Aggregating public preferences for healthcare: putting theory into practice.

The aim of this study was to investigate alternative methods for aggregating public preferences that may then be used to guide priority-setting decisions in healthcare. This involved asking members of the Australian public to assume the role of a healthcare planner and to allocate an additional (but fixed) amount of healthcare resources across three sets of options: medical/surgical procedures, public health programmes and across population groups exhibiting different characteristics. Two methods of aggregation were used: rank ordering and what the author describes as the 'pie method'. In contrast to conventional social welfare functions (that make use of ordinal, non-comparable utility information of individual consumers), the methods used in this study allowed for additional information on the intensity and the comparability of the preferences. The impact of these different methods on aggregation results is investigated. It is argued that those decision makers charged with the day-to-day responsibility of engaging the general public in resource allocation decision making need to be aware that different methods of aggregation can result in different healthcare priorities. Implications for researchers, including the impact of different forms of information on the formation of social preferences, are also discussed.

Adolescent↗

Evaluation of quality of life of childhood cancer survivors: a methodological conundrum.

QOL assessment in pediatric oncology is seriously understudied, especially compared with the adult population. The limited progress is due to the methodological complexity of the task, which should not be viewed as insurmountable. Given a precise study question, the methodological issues can be clarified simply, piece by piece. Researchers must consider very carefully the specific characteristics that define a study population in order to choose an instrument that is domain-appropriate and valid for the assessment paradigm. The first priority should be that a researcher must identify the means of accessing the information of interest. In the pediatric population, information about children's status may be elicited from parents, medical personnel, teachers, or the children themselves. Clearly, the type of instrument to be used for assessment is dependent on the choice of reporter. Researchers must also account for developmental age and disease; in assessing generic and disease-specific functioning, the "functional scale" against which an individual is compared must implicitly reflect the types of activities and/or levels of functioning that are realistic norms for the patient. Equally important is the analysis of independent domains in order to characterize the dynamics/divergence of clinical status and functional status. What are the merits of conducting QOL research for the pediatric cancer-survivor population? The policy implications are profound and pervasive both for the individual survivors (regarding treatment, care, and his/her ultimate ability to reintegrate into society) and for society (regarding resource allocation, cost planning, and productivity). Commensurate with the rapid advancement of oncologic therapy, there is now an expanding cohort of pediatric cancer survivors. Current estimates suggest that, by the turn of the century, 200,000 children will be in this category. The long-term survivorship of this cohort is still poorly defined. However, as the survivors mature, it is likely that their needs will evolve as well-whether for treatment of secondary malignancies, long-term morbidities, and fertility issues or for neuropsychological dysfunction, emotional counseling, or occupational issues. Children, as survivors, are unique, in that their future (the context within which long-term outcome is defined) spans decades. Based on a median age at diagnosis of 6 years, survivors can expect to live an additional 66 years. From a cost or policy perspective, children represent enormous future potential. The implications of children's long-term outcomes must be considered regarding the change in future potential secondary to survivorship. Pediatric QOL research plays a role both inside and outside the health care system. Clearly, in the provision of health care, QOL data may be used to improve or modify patient care by supplementing information about the clinical status of individual patients. Information about an individual's general functioning, particularly as it diverges from disease-specific functioning, complements clinical data to facilitate comprehensive care. Information about the long-term outcomes of pediatric cancer, as a whole, will influence the policies of health care institutions and the allocation of health care resources. By expanding the scope of survivorship (or cure) to include long-term clinical and general "costs" the "cost of cure" is shifted: this shift will ultimately impact estimations of cost effectiveness, with ramifications for the evaluation of hospital-wide protocols, utilization priorities, and cost policies. Outside of the hospital, the implications of QOL research are equally ubiquitous. Pediatric survivors will live an estimated 7 decades after "cure," during which time they will exist almost entirely outside the realm of health care; yet, their condition as a survivor, with or without the long-term clinical toxicities secondary to treatment, will continue to affect some or all of thei

Adolescent↗