Health status and severity of illness as predictors of outcomes in primary care

National Use of Safety-Net Clinics for Primary Care among Adults with Non-Medicaid Insurance in the United States

Objective

To describe the prevalence, characteristics, and predictors of safety-net use for primary care among non-Medicaid insured adults (i.e., those with private insurance or Medicare).

Methods

Cross-sectional analysis using the 2006–2010 National Ambulatory Medical Care Surveys, annual probability samples of outpatient visits in the U.S. We estimated national prevalence of safety-net visits using weighted percentages to account for the complex survey design. We conducted bivariate and multivariate logistic regression analyses to examine characteristics associated with safety-net clinic use.

Results

More than one-third (35.0%) of all primary care safety-net clinic visits were among adults with non-Medicaid primary insurance, representing 6,642,000 annual visits nationally. The strongest predictors of safety-net use among non-Medicaid insured adults were: being from a high-poverty neighborhood (AOR 9.53, 95% CI 4.65–19.53), being dually eligible for Medicare and Medicaid (AOR 2.13, 95% CI 1.38–3.30), and being black (AOR 1.97, 95% CI 1.06–3.66) or Hispanic (AOR 2.28, 95% CI 1.32–3.93). Compared to non-safety-net users, non-Medicaid insured adults who used safety-net clinics had a higher prevalence of diabetes (23.5% vs. 15.0%, p<0.001), hypertension (49.4% vs. 36.0%, p<0.001), multimorbidity (≥2 chronic conditions; 53.5% vs. 40.9%, p<0.001) and polypharmacy (≥4 medications; 48.8% vs. 34.0%, p<0.001). Nearly one-third (28.9%) of Medicare beneficiaries in the safety-net were dual eligibles, compared to only 6.8% of Medicare beneficiaries in non-safety-net clinics (p<0.001).

Conclusions

Safety net clinics are important primary care delivery sites for non-Medicaid insured minority and low-income populations with a high burden of chronic illness. The critical role of safety-net clinics in care delivery is likely to persist despite expanded insurance coverage under the Affordable Care Act.

Multimorbidity in primary care: a systematic review of prospective cohort studies

BACKGROUND

Primary care increasingly deals with patients with multimorbidity, but relevant evidence-based interventions are scarce. Knowledge about multimorbidity over time is required to inform the development of effective interventions.

AIM

This review identifies prospective cohort studies of multimorbidity in primary care to determine: their nature, scope and key findings; the methodologies used; and gaps in knowledge.

DESIGN

Systematic review.

METHOD

Studies were identified by searching electronic databases, reviewing citations, and writing to authors. Searches were limited to adult populations with no restrictions on publication date or language. In total, 996 articles were identified and screened.

RESULTS

Of the 996 articles, six detailing five completed prospective cohort studies were selected as appropriate. Three of the studies were undertaken in the US and two in The Netherlands; none was nationally representative. The main focus of the studies was: healthcare utilisation and/or costs (n = 3); patients' physical functioning (n = 1); and risk factors for developing multimorbidity (n = 1). The conditions that were included varied widely. The findings of these studies showed that multimorbidity increased healthcare costs (n = 2), inpatient admission (n = 1), death rates (n = 1), and service use (n = 3), and reduced physical functioning (n = 1). One study identified psychosocial risk factors for multimorbidity. No study used random sampling, sample sizes were relatively small (414-3745 patients at baseline), and study duration was relatively short (1-4 years). No study focused on prevalence, treatment use, patient safety, service models, cultural or socioeconomic factors, and patient experience, and no study collected qualitative data.

CONCLUSION

Few longitudinal studies based in primary care have investigated multimorbidity. Further large, long-term prospective studies are required to inform healthcare commissioning, planning, and delivery.

Health-related quality of life in French adolescents and adults: norms for the DUKE Health Profile

BACKGROUND

The continual monitoring of population health-related quality of life (HRQoL) with validated instruments helps public health agencies assess, protect, and promote population health. This study aimed to determine norms for the French adolescent and adult general population for the Duke Health Profile (DUKE) questionnaire in a large representative community sample.

METHODS

We randomly selected 17,733 French people aged 12 to 75 years old in 2 steps, by households and individuals, from the National Health Barometer 2005, a periodic population study by the French National Institute for Prevention and Health Education. Quality of life and other data were collected by computer-assisted telephone interview.

RESULTS

Normative data for the French population were analyzed by age, gender and self-reported chronic disease. Globally, function scores (best HRQoL=100) for physical, mental, social, and general health, as well as perceived health and self-esteem, were 72.3 (SEM 0.2), 74.6 (0.2), 66.8 (0.1), 71.3 (0.1), 71.3 (0.3), 76.5 (0.1), respectively. Dysfunction scores (worst HRQoL=100) for anxiety, depression, pain and disability domains were 30.9 (0.1), 27.6 (0.2), 34.3 (0.3), 3.1 (0.1), respectively.

CONCLUSION

The French norms for adolescents and adults for the DUKE could be used as a reference for other studies assessing HRQoL, for specific illnesses, in France and for international comparisons.

Chronic kidney disease (CKD) in the elderly -- a geriatrician's perspective

Chronic kidney disease (CKD) is becoming increasingly prevalent among many different populations all over the world, including the US and Europe. Its multitude of complications with devastating outcomes leads to a significantly higher risk for cardio-vascular and all-cause mortality in an individual. However, it is clear now that early detection of CKD might not only delay some of the complications but also prevent them. Therefore, various important public health organizations all over the world have turned their focus and attention to CKD and its risk factors, early detection and early intervention. Nevertheless, the general goals in preventing the increase in CKD and its complications are far from being completely achieved. Why is this so? What is the magnitude and complexity of the problem? How is it affecting the population - are there differences in its affection by age, gender or frail elderly versus the robust? Are we modifying the risk factors appropriately and aggressively? Are there subtle differences in managing the risk factors in those on dialysis versus the non-dialysis CKD patients? Is it important to treat anaemia of CKD aggressively, will it make a difference in the disease progression, its complications or to quality of life? What do these unfortunate individuals commonly succumb to? What do we advise patients who refuse dialysis or those who desire dialysis or transplant? Are there useful non-dialytic treatment recommendations for those who refuse dialysis? What is the role of the physicians caring for the elderly with CKD? When should the primary care givers refer a CKD patient to a nephrologist? The key to eventually controlling incident and prevalent CKD and improve quality of life of affected individuals, lies in not only knowing these and many other vital aspects, but also in applying such knowledge compulsively in day-to-day practice by each and every one us. As CKD is increasingly a disease of the elderly with men being affected more, this review details fairly comprehensively the vital aspects of CKD, especially from a primary care geriatrician's practical standpoint.

Health inequalities based on ethnicity in individuals aged 15 to 64, Brazil, 1998

This study aimed to analyze inequalities in health status and utilization of medical consultations and hospital services by Brazilian young and adult populations according to ethnicity. The survey analyzes a representative sample of the Brazilian population aged 15 to 64 years, except those living in the rural area of the Amazon. The prevalence of fair or poor health status was substantially higher among black men, white women, and black women. The influence of gender and ethnicity remains significant after adjusting for age and socioeconomic conditions (OR = 1.11; 1.49 and 1.86 respectively). Differences between blacks and whites decrease with age, but increase with socioeconomic status. There were 10% more medical consultations among white individuals. The differences were more striking among young people who reported good health status. For individuals with fair or poor health, no differences were observed in frequency of medical consultations between blacks and whites. There were no significant differences in hospitalization rates. With regard to health status, differences between blacks and whites were striking. However, the same was not true for utilization of health services.

Rural-urban disparities in health-related quality of life within disease categories of Veterans

CONTEXT

Compared to their urban counterparts, rural veterans have been found to have lower health-related quality of life.

PURPOSE

To determine whether these disparities persist when examining disease categories of rural and urban veterans.

METHODS

We obtained survey data on 748,216 veterans who were current or anticipated Veterans Health Administration patients. Using International Classification of Diseases (ICD)-9CM codes, we determined whether these veterans had diagnoses that fell into any of 30 physical health disease categories, and we used ZIP codes to determine whether veterans lived in rural or urban settings. We compared rural to urban prevalence of disease categories as well as urban to rural health-related quality-of-life physical health component summary scores (PCS) and mental health component summary scores (MCS) for each disease category.

FINDINGS

Physical diagnoses were significantly more prevalent in the rural veteran population for most disease categories examined. For every disease category examined, PCS were significantly lower for veterans who lived in rural, compared to urban, settings (P < .001 for all); rural veterans also experienced lower MCS for all disease categories although differences were modest. Differences persisted after controlling for sociodemographic factors.

CONCLUSIONS

Compared to the urban veteran population, within disease categories, the rural veteran population experiences higher disease prevalence and lower physical and mental quality-of-life scores. Policymakers should anticipate greater health care demands from the rural veteran population and work to meet that demand.

Longitudinal Analysis of the Reciprocal Effects of Self-Assessed Global Health and Depressive Symptoms

This study examined whether a reciprocal relationship exists between measures of self-assessed global health and depressive symptoms, net of covariates that included chronic illness, functional disability, education, income, gender, race, and age. Analyses of five waves of data from the Rand version of the Health and Retirement Survey (N=7,475), using an autoregressive, cross-lagged panel design, indicated that self-assessed overall health had a modest but statistically significant and consistent effect on depressive symptoms. In contrast, the level of depressive symptoms had a statistically nonsignificant effect on self-assessed health. There has been growing interest in identifying the factors that inform self-assessments of overall health. The present findings indicate that self-assessed global health is not simply a manifestation of depressed affect.

Measuring treatment impact: a review of patient-reported outcomes and other efficacy endpoints in approved product labels

CONTEXT

The term "patient-reported outcomes" (PROs) has evolved to include any endpoint derived from patient reports, whether collected in the clinic, in a diary, or by other means, including single-item outcome measures, event logs, symptom reports, formal instruments to measure health-related quality of life (HRQL), health status, adherence, and satisfaction with treatment. This term coincides with the explicit interest from drug development researchers and regulatory authorities in the appropriate utilization and reporting of treatment impact measures.

OBJECTIVE

To determine the level and nature of use of PROs compared to other types of effectiveness endpoints in approved product labeling for new drugs recently approved in the United States. DESIGN AND SOURCES: Review and analysis of effectiveness endpoints as reported in clinical study descriptions in approved product labeling of new molecular entities (NMEs) approved in the United States from 1997 through 2002.

MAIN OUTCOME MEASURES

Effectiveness study endpoints reported in approved product labeling that fall into the following categories of measurement: PROs, clinician-reported outcomes (CROs), and laboratory test/device measurement endpoints.

RESULTS

PROs were reported in 64 (30%) of the 215 product labels reviewed. Clinician-reported outcomes were reported most frequently (62%) followed by laboratory/device endpoints (50%). PROs were the only type of endpoint used in the FDA-approved label for 23 products. Formal multiitem PRO scales were cited 22 times. Use of PROs is most common in antiinflammatory, CNS, gastrointestinal, respiratory, allergic conjunctivitis, and urologic therapy areas. The frequency of reported PRO use over this period did not change.

CONCLUSION

PROs, although quite variable as a class of study endpoints, were found to have a significant role in the development and evaluation of new medicines. More formal guidance from the FDA about use of such measures along with continued collaboration by PRO researchers to develop and disseminate standards will enhance the appropriate use of PROs in future drug development and labeling.

Risk Classification of Adult Primary Care Patients by Self-Reported Quality of Life

BACKGROUND

: Although patient-reported health-related quality of life (HRQOL) is known to predict health services utilization, most risk assessment systems use provider-reported diagnoses as predictors rather than HRQOL.

OBJECTIVE

: We sought to classify adult primary care patients prospectively by utilization risk based on age, gender, and HRQOL at a single clinic visit.

RESEARCH DESIGN

: Patients completed the Duke Health Profile. Providers completed the Duke Severity of Illness Checklist. Diagnoses were grouped with the Ambulatory Care Groups system. Predictive coefficients for 1-year primary care charges calculated from the age, gender, and HRQOL of 728 reference patients were used to classify 474 test patients into 4 risk classes. Comparisons were made with models that used diagnoses or severity of illness as predictors.

RESULTS

: The positive likelihood ratio for predicting highest risk was 2.2 for the HRQOL model, compared with 1.8 for the diagnoses model, 1.6 for the severity model, and 1.5 for age and gender alone. One-year actual primary care visits and charges increased step-wise from lowest to highest risk class. Highest risk patients were older and more likely to be women, black, or Medicaid recipients. Although the highest-risk patients represented only 18.6% of the test group, they accounted for 26.7% of the primary care clinic visits, 31.6% of the clinic charges, 34.6% of the hospital days, 35.1% of hospital charges, and 30.8% of total charges at all healthcare sites.

CONCLUSION

: The HRQOL risk classification system can identify primary care patients at risk for high future health services utilization.

Length of hospital stay and health services use of medical inpatients with comorbid noncognitive mental disorders: a review of the literature

We reviewed 23 studies on the association between noncognitive mental disorders and the use of general health care services by medical patients admitted to a general hospital. Only studies with a prospective design and with a correction for possible confounding factors were included. In most studies, only service use during index admission was observed, but eight studies included a longer observation period during follow-up after hospital discharge. The 15 studies that were restricted to service use during index admission showed mixed results: length of hospital stay was related to common mental disorders in some studies, but other studies did not find such an association. The eight studies that used a longer observation period showed findings that are more consistent. They demonstrated mainly that symptoms or complaints of depression are related to a higher resource use within general medical services.

Differences in health-related quality of life in rural and urban veterans

OBJECTIVES

We sought to determine whether disparities in health-related quality of life exist between veterans who live in rural settings and their suburban or urban counterparts.

METHODS

We determined health-related quality-of-life scores (physical and mental health component summaries) for 767109 veterans who had used Veterans Health Administration services within the past 3 years. We used rural/urban commuting area codes to categorize veterans into rural, suburban, or urban residence.

RESULTS

Health-related quality-of-life scores were significantly lower for veterans who lived in rural settings than for those who lived in suburban or urban settings. Rural veterans had significantly more physical health comorbidities, but fewer mental health comorbidities, than their suburban and urban counterparts. Rural-urban disparities persisted in all survey subscales, across regional delivery networks, and after we controlled for sociodemographic factors.

CONCLUSIONS

When compared with their urban and suburban counterparts, veterans who live in a rural setting have worse health-related quality-of-life scores. Policymakers, within and outside the Veterans Health Administration, should anticipate greater health care demands from rural populations.

Predicting Healthcare Costs in a Population of Veterans Affairs Beneficiaries Using Diagnosis-Based Risk Adjustment and Self-Reported Health Status

BACKGROUND

Many healthcare organizations use diagnosis-based risk adjustment systems for predicting costs. Health self-report may add information not contained in a diagnosis-based system but is subject to incomplete response.

OBJECTIVE

The objective of this study was to evaluate the added predictive power of health self-report in combination with a diagnosis-based risk adjustment system in concurrent and prospective models of healthcare cost.

RESEARCH DESIGN

This was a cohort study using Department of Veterans Affairs (VA) administrative databases. We tested the predictive ability of the Adjusted Clinical Group (ACG) methodology and the added value of SF-36V (short form functional status for veterans) results. Linear regression models were compared using R(2), mean absolute prediction error (MAPE), and predictive ratio.

SUBJECTS

Subjects were 35,337 VA beneficiaries at 8 VA medical centers during fiscal year (FY) 1998 who voluntarily completed an SF-36V survey.

MEASURES

Outcomes were total FY 1998 and FY 1999 cost. Demographics and ACG-based Adjusted Diagnostic Groups (ADGs) with and without 8 SF-36V multiitem scales and the Physical Component Score and Mental Component Score were compared.

RESULTS

The survey response rate was 45%. Adding the 8 scales to ADGs and demographics increased the crossvalidated R by 0.007 in the prospective model. The 8 scales reduced the MAPE by 236 US dollars among patients in the upper 10% of FY 1999 cost.

CONCLUSIONS

The limited added predictive power of health self-report to a diagnosis-based risk adjustment system should be weighed against the cost of collecting these data. Adding health self-report data may increase predictive accuracy in high-cost patients.

Risk Factors for Nonelective Hospitalization in Frail and Older Adult, Inner-City Outpatients

PURPOSE

In our study, we sought to improve the accuracy of predicting the risk of hospitalization and to identify older, inner-city patients who could be targeted for preventive interventions.

DESIGN AND METHODS

Participants (56% were African American) in a randomized trial were from a primary care practice and included 1,041 patients living in the inner city who were either > or = 75 years of age or were > or = 50 years of age with severe disease. As a secondary analysis, we assessed patient characteristics at baseline involving five domains of health, including utilization and satisfaction. We followed participants for 12 months and recorded the occurrence of nonelective hospitalization within the study period. We developed a multivariate model using logistic regression to predict this outcome.

RESULTS

The following patient characteristics independently predicted an increased risk for nonelective hospitalization: having the diagnosis of congestive heart failure, diabetes mellitus, or anemia; and having more medications prescribed, having a lower body mass index, and having more emergency department visits during the previous year. Better physical functioning reduced the risk of hospitalization.

IMPLICATIONS

Moderate accuracy of a prediction model (0.73) was observed. In addition to focusing on patients with chronic disease, helping them maintain physical functioning may help reduce nonelective hospitalization.

Treatment patterns and outcomes of depressed medically ill and non-medically ill patients in community psychiatric practice

The prevalence of depression among the medically ill, the recognition of depression in general medical practice, and the association between depression and medical illness have all been a focus for research in recent years. Less is known about the process and outcomes of depression care in the medically ill compared with the non-medically ill, but some studies suggest that those with concomitant physical illness have poorer outcomes. In a study of community psychiatric practice, a sample of 53 patients with no medical comorbidity (NMI) was compared with 50 patients, categorized by higher (HMI) or lower (LMI) levels of physical comorbidity, approximately 5 months after beginning treatment for a current episode of major depression. No differences were found in treatments received or in mental health outcomes between the three groups. The HMI group showed greater impairment in social and occupational functioning at baseline and significantly greater improvement in these variables at follow-up. Since medical comorbidity does not appear to adversely affect treatment decisions or outcomes in community psychiatric practice, depressed, physically ill patients should be encouraged to seek treatment, regardless of their medical condition or level of disability.

The value of patient-reported health status in predicting short-term outcomes after coronary artery bypass graft surgery

BACKGROUND

Risk stratification for comparison of outcomes after coronary artery bypass grafting (CABG) typically includes only clinical measures of risk. Patient-reported health status may be an important independent predictor of short-term health outcomes.

OBJECTIVE

To determine whether patient-reported health status, as measured by the Physical and Mental Component Summary scores of the SF-36, predicts in-hospital mortality and prolonged length of stay after CABG, after controlling for other clinical predictors of those outcomes.

RESEARCH DESIGN

Prospective cohort study conducted from September 1993 to November 1995.

SUBJECTS

One thousand seven hundred seventy-eight adults who underwent isolated CABG for myocardial ischemia.

MEASURES

In-hospital mortality and prolonged length of stay (> 14 days).

RESULTS

There were 27 deaths and 223 patients with prolonged length of stay in the study sample. A 10-point decrease in the Physical Component Summary (PCS) score increased the odds of in-hospital mortality by 61% (OR, 1.61; 95% CI, 1.04-2.49), independent of established clinical risk factors. Similarly, a 10-point decrease in the PCS score increased the odds of prolonged length of stay by 33% (OR, 1.33; 95% CI, 1.13-1.57). A 10-point decrease in the Mental Component Summary score (MCS) decreased the odds of mortality by 36% (OR, 0.64; 95% CI, 0.43-0.95).

CONCLUSIONS

The PCS score is independently and significantly associated with in-hospital mortality and prolonged length of stay, after controlling for clinical risk factors. The MCS score is independently and significantly associated only with mortality, though the direction of the effect is unexpected. The result likely reflects a property of the scoring of the MCS and not a finding of clinical substance. Although caution must be taken when interpreting the summary scores, the SF-36 yields information not otherwise captured by clinical data and may be useful in risk stratification for in-hospital mortality and prolonged length of stay after CABG.

Association of nutritional markers with physical and mental health status in prevalent hemodialysis patients from the HEMO study

OBJECTIVE

To determine associations of potentially modifiable nutritional factors with physical and mental health status after adjusting for sociodemographic and comorbid conditions.

DESIGN

Cross-sectional multivariable analysis.

SETTING

Fifteen dialysis centers across the United States participating in the Reduction of Morbidity and Mortality Among Hemodialysis Patients (HEMO) study.

PATIENTS

Enrollment of 1,545 prevalent hemodialysis subjects in the HEMO study. INDEPENDENT (PREDICTOR) VARIABLES: The following nutritional markers were assessed in this analysis: serum albumin, energy intake, protein catabolic rate, serum creatinine, midarm muscle circumference, calf circumference, and smoking status. Smoking status, although not a nutritional factor per se, was also included because it is a modifiable lifestyle factor.

MAIN OUTCOME MEASURES

Physical and mental health status were assessed using the medical staff-assessed Karnofsky Index and the patient self-assessed Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36).

RESULTS

After adjusting for sociodemographic factors and comorbid conditions, serum albumin, serum creatinine, and calf circumference were independently associated with Karnofsky Index scores. Similarly, serum creatinine and calf circumference were also independently associated with the Physical Component Summary (PCS) score of the SF-36. Of the nutritional variables selected, no variables were significantly associated with the Mental Component Summary (MCS) score of the SF-36.

CONCLUSIONS

Markers of poor nutrition were associated with decreased physical functioning scores, independent of case mix. Measures that improve nutrition may therefore have wide-reaching effects to improve not only morbidity and mortality but also health-related quality of life for patients with end-stage renal disease.

Quality end-of-life care in dialysis units

Quality end-of-life care has not been a priority in dialysis units and patients often experience prolonged dying while suffering needlessly. Advance directives (ADs) and decisions to stop dialysis have been highlighted by the medical profession as priorities in improving the quality of care, yet these are only two aspects of end-of-life care. They may not reflect patients' priorities and may not have the expected impact in improving the quality of end-of-life care. This review argues that quality end-of-life care should be a clinical priority in the care of dialysis patients; end-of-life care needs to be developed primarily from the patients' perspective; a clinical framework is required that integrates many aspects of end-of-life care; and end-of-life care should be initiated much earlier in the course of patients' illnesses than traditionally is done. By communicating more effectively and sooner with patients, their values and needs can be identified so we will be better able to plan and facilitate their end-of-life care and improve their experience of dying.

Perceived mental health and disablement of primary care and end-stage renal disease patients

OBJECTIVE

To compare perceived current mental health and disablement between primary care and end-stage renal disease (ESRD) patients, and to study social support and stress and severity of illness as possible determinants of mental health and disablement.

METHOD

Observational cross-sectional analysis of 414 primary care patients in a rural community health center and 125 ESRD patients requiring hemodialysis in two community dialysis units. The Duke Health Profile (DUKE) anxiety-depression scale was used to assess mental health; the DUKE disability scale, to indicate disablement; the Duke Social Support and Stress Scale, to measure support and stress; and the Duke Severity of Illness Scale, to rate severity of illness.

RESULTS

Perceived current mental health in terms of anxiety and depression symptoms was worse for primary care than for ESRD patients, and perceived current disablement was no different for the two groups. Patients' perception of their health status and of stress from family members were more closely associated with their level of anxiety and depression symptoms than were their diagnostic profiles or overall severity of illness. In turn, their level of anxiety and depression symptoms was the principal correlate of their disablement.

CONCLUSIONS

The demonstration of strong relationships among anxiety and depression symptoms, disablement, and family stress in these two very different patient populations should stimulate further research and motivate clinicians to evaluate all three parameters as part of routine patient care.

The influence of patient age on primary care resident physician-patient interaction

OBJECTIVES

To explore resident physician-patient interaction in primary care to address issues relevant to quality of care for older people.

DESIGN

A sample of 509 new, adult, nonpregnant patients was assigned to the care of second- and third-year residents in primary care clinics. Care was compared for three subgroups of patients: older patients (65 years or older; n = 45), those aged 18 to 44 years (n = 320), and those aged 45 to 64 years (n = 144).

SETTING

Observations were made at the family medicine and general internal medicine clinics at the University of California, Davis.

MEASUREMENTS

Self-report by means of the Medical Outcomes Study Short Form-36 (MOS SF-36) was used to determine patient demographics and patient health status. Two measures of satisfaction were obtained gauging reaction to medical care in general and to the videotaped visit specifically. Videotapes were coded for content using the Davis Observation Code.

RESULTS

Self-reported health status of older persons was poorer than that of younger groups as measured by the MOS SF-36. Differences in demographics were explored and then controlled, along with physical health status in subsequent analyses. Supporting prior studies, this study found that older patients had more return visits and reported higher levels of satisfaction than did younger comparison groups. Contrary to prior literature, older patients were found to have longer visits than did younger cohorts. The physician-patient interaction was significantly different in many areas between these three groups. Whereas older patients experienced more chatting in their visits, they were given less counseling, asked fewer questions, had less discussion about their families and their use of substances, were asked to change their health behavior habits less often, and were given less health education. For older patients, more of each visit was spent checking on compliance with earlier treatment and developing treatment plans.

CONCLUSIONS

These results provide a new and more detailed view of how resident physician-patient interaction differs between older and younger groups and raise important issues on whether quality of care needs for this population are being adequately addressed, particularly regarding mental health issues.

[A proposal for capitation payment, based on age, chronicity, and gender, using management databases]

OBJECTIVES

To propose a case-mix methodology for primary care, based on chronicity, type and age. To describe the explanatory value of these variables in the variability of the medical case-load.

DESIGN

Observation, descriptive and retrospective study.

SETTING

Primary care. Rochapea Health Centre, Pamplona.

MATERIAL AND METHODS

Computer records of all the consultations between January 1996 and June 1997. Dependent variable: case-load.

INDEPENDENT VARIABLES

age, type, chronic pathologies (diabetes, lipaemia, chronic neurological diseases, COPD-asthma, chronic psychiatric illnesses, cardiopathy, hypertension, alcohol and other drug abuse). The Kruskal-Wallis test was used to compare work-loads by age groups; and multiple linear regression analysis to calculate the predictive power of the independent variables.

RESULTS

Significant differences were observed for age groups. In the multivariate model used for general practitioners, all the variables could be included. They explained 24.2% of the variability in work load (R2). For paediatricians, age and asthma, explaining 23.48%, could also be included.

CONCLUSIONS

Age, type and chronicity are useful variables for predicting case load from administrative data bases. They can be used in adjustments for case load applicable to capitation payment systems.

Assessing primary care content: four conditions common in community health center practice

Under managed care, community health center (CHC) care patterns will be increasingly subject to outside scrutiny. This article discusses results of medical records reviews assessing quality of care at CHCs for acute otitis media, diabetes, asthma, and hypertension. As a group, these safety net providers meet or exceed prevailing practice across other health care settings; however, there is substantial variation among sites. Regression analyses indicate that the individual CHC used by a patient is the most consistent determinant of whether a patient receives recommended care. Drawing on these results, the article explores approaches for improving care and discusses the implications for performance measurement among CHCs and other safety net providers.

Reliability and validity of the adolescent health profile-types

OBJECTIVES

The purpose of this study was to demonstrate the preliminary reliability and validity of a set 13 profiles of adolescent health that describe distinct patterns of health and health service requirements on four domains of health.

METHODS

Reliability and validity were tested in four ethnically diverse population samples of urban and rural youths aged 11 to 17-years-old in public schools (N = 4,066). The reliability of the classification procedure and construct validity were examined in terms of the predicted and actual distributions of age, gender, race, socioeconomic status, and family type. School achievement, medical conditions, and the proportion of youths with a psychiatric disorder also were examined as tests of construct validity.

RESULTS

The classification method was shown to produce consistent results across the four populations in terms of proportions of youths assigned with specific sociodemographic characteristics. Variations in health described by specific profiles showed expected relations to sociodemographic characteristics, family structure, school achievement, medical disorders, and psychiatric disorders.

CONCLUSIONS

This taxonomy of health profile-types appears to effectively describe a set of patterns that characterize adolescent health. The profile-types provide a unique and practical method for identifying subgroups having distinct needs for health services, with potential utility for health policy and planning. Such integrative reporting methods are critical for more effective utilization of health status instruments in health resource planning and policy development.

Duke Case-Mix System (DUMIX) for ambulatory health care

The Duke Case-Mix System (DUMIX), which combines age, gender, patient-reported perceived and physical health status, and provider-reported or auditor-reported severity of illness to classify patients by their risk of high future utilization, explained 17.1% of the variance in future clinic charges and 16.6% of the variance in return visits. When a random half of 413 ambulatory adults were classified into four risk classes by predictive regression coefficients from the other half, there was a stepwise increase in actual future utilization by risk class. The most accurate classification was for Class 4 (highest risk) patients, with a sensitivity of 40.8%, specificity of 82.1%, and likelihood ratio of 2.3. These 23.7% of patients accounted for 44.2% of charges for all patients. When predictive coefficients from this population were used to classify a different group of 206 ambulatory adults, past utilization also increased in stepwise order by case-mix class.

Hemodialysis patient-assessed functional health status predicts continued survival, hospitalization, and dialysis-attendance compliance

We asked patients to assess their functional health status by completing the SF-36. Over 2 years, we studied 1,000 patients (average age, 58 years; 50% male; 25% white; 36% diabetic) in three outpatient, staff-assisted hemodialysis units. We used both the eight-scale scores and two-component summary scores to study the relationship between baseline functional health status and clinical outcomes. The physical component summary (PCS) score was as significant a predictor of mortality as was the normalized protein catabolic rate or the delivered Kt/V. Patients with a PCS score below the median for our patients (< 34) were twice as likely to die and 1.5 times more likely to be hospitalized as patients with PCS scores at or above the median score. Either a low PCS score or a low mental component summary (MCS) score correlated with the number of days of hospitalization. While the average dialysis patient has a relatively normal (47 v 50) MCS score and a low (37 v 50) PCS score compared with the normal population, patients who skipped more than two treatments per month tended to have a relatively higher PCS score (judged themselves physically healthier) and a relatively lower MCS score (judged themselves less mentally healthy) than patients who did not skip two or more treatments per month. The prevalence of depression as defined by an MCS score of < or = 42 was approximately 25%. The SF-36 provided a good screening tool for patients at high risk for death, hospitalization, poor attendance, and depression.

Health care spending, delivery, and outcome in developed countries: a cross-national comparison

This study examines the trend of health care spending, availability and use of medical services, and aggregate health outcome of the 24 industrialized member countries of the Organization for Economic Cooperation and Development (OECD). Major differences between the United States and other OECD countries are highlighted and discussed. The results of the study demonstrate that, over the past four decades, the United States has been spending more and accomplishing less when compared with other industrialized nations. The United States needs to learn from the successful experience of other nations. Redesigning the system of health care delivery in the United States may be the only viable option to improve the quality of health care.

Anxiety and depressive symptom identification using the Duke Health Profile

Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0-100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. The severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients.

Individual-patient monitoring in clinical practice: are available health status surveys adequate?

Interest has increased in recent years in incorporating health status measures into clinical practice for use at the individual-patient level. We propose six measurement standards for individual-patient applications: (1) practical features, (2) breadth of health measured, (3) depth of health measured, (4) precision for cross-sectional assessment, (5) precision for longitudinal monitoring and (6) validity. We evaluate five health status surveys (Functional Status Questionnaire, Dartmouth COOP Poster Charts, Nottingham Health Profile, Duke Health Profile, and SF-36 Health Survey) that have been proposed for use in clinical practice. We conducted an analytical literature review to evaluate the six measurement standards for individual-patient applications across the five surveys. The most problematic feature of the five surveys was their lack of precision for individual-patient applications. Across all scales, reliability standards for individual assessment and monitoring were not satisfied, and the 95% CIs were very wide. There was little evidence of the validity of the five surveys for screening, diagnosing, or monitoring individual patients. The health status surveys examined in this paper may not be suitable for monitoring the health and treatment status of individual patients. Clinical usefulness of existing measures might be demonstrated as clinical experience is broadened. At this time, however, it seems that new instruments, or adaptation of existing measures and scaling methods, are needed for individual-patient assessment and monitoring.