Removable Denture Wearing as a Risk Predictor for Pneumonia Incidence and Time to Event in Older Adults.

INTRODUCTION: Older adults are more susceptible to a common respiratory infection: pneumonia. Nearly 1 million older adults per year are hospitalized for community-acquired pneumonia in the United States. OBJECTIVE: To examine whether wearing removable dentures are associated with an increased risk of pneumonia incidence in a geriatric population. METHODS: We conducted a retrospective cohort study among patients >65 y of age within a large academic health system (University of Rochester Medical Center). The medical and dental electronic records from 2010 to 2018 were reviewed and used for data collection. The exposure was removable denture wearing. The main outcome variables were the incidence of pneumonia and time to event of pneumonia. A Cox proportional hazards regression was used to examine the association between pneumonia onset and wearing removable dentures, adjusting for demographics, socioeconomic status, and medical and dental conditions. RESULTS: A total of 2,364 patients were included, with 1,189 (50.29%) in the denture-wearing group and 1,175 (49.70%) in the non-denture wearing group. The annual pneumonia incidence rate per 100,000 persons was 1,191 in the denture-wearing group and 128 per 100,000 persons in the non-denture wearing group, with a crude incidence rate ratio of 9.33 (95% CI, 5.41 to 18.81; P < 0.0001). The mean ± SD age of the pneumonia onset was 78.0 ± 10.0 and 78.6 ± 9.0 y among denture-wearing and nonwearing groups (P = 0.84). The time to event of pneumonia was associated with removable denture wearing (yes/no; hazard ratio, 7.68 [95% CI, 3.91 to 15.08]; P < 0.001) after adjusting for covariates. CONCLUSIONS: Wearing removable dentures was found to be a risk predictor for pneumonia incidence among the geriatric population even after accounting for other risk factors. KNOWLEDGE TRANSFER STATEMENT: Wearing removable dentures was found to be a risk predictor of pneumonia incidence among older adults. Although the current study does not imply a causal relationship between denture wearing and pneumonia, clinicians and older patients could reference the study results when choosing dental prostheses to restore missing teeth.

Effectiveness of telephone reminders in improving rate of appointments kept at an outpatient clinic: a randomized controlled trial.

BACKGROUND: Clinic appointments in which patients do not appear (no-show) result in loss of provider time and revenue. Previous studies have shown variable effectiveness in telephone and mailed reminders to patients. METHODS: We conducted a randomized controlled trial of telephone reminders 1 day before the scheduled appointments in an urban family practice residency clinic. Patients with appointments were randomized to be telephoned 1 day before the scheduled visit; 479 patients were telephoned and 424 patients were not telephoned. RESULTS: The proportions of patients not showing up for their appointments were 19% in the telephoned and 26% in the not-telephoned groups (P = .0065). Significantly more cancelations were made when telephoning patients before their visit, 17% compared with 9.9%. The opened scheduling slots were used for appointments for other patients. This additional revenue offset the cost of telephone intervention in our cost analysis. CONCLUSION: Reminding patients by telephone calls 1 day before their appointments yields increased cancelations that can be used to schedule other patients. Telephone reminders provide substantial net revenue, but the results may be population specific.

Impact of patient socioeconomic status on physician profiles: a comparison of census-derived and individual measures.

BACKGROUND: Patient education has been shown to affect physician performance profiles. It is not known whether census-derived measures of patient socioeconomic status (SES) show comparable effects. OBJECTIVE: The objective of this study was to compare the effects on physician profiles for patient satisfaction and physical and mental health of adjustment for patient SES derived from patient addresses geocoded to the census block group level, zip codes, and patient education. DESIGN: This was a cross-sectional survey of patients in physician practices. SETTING: Subjects came from adult primary care practices in western New York. PARTICIPANTS: A random sample of 100 primary care physicians and 50 consecutive patients seen by each physician participated in the study. MEASUREMENTS: Independent variables were census-derived (block group and zip code) patient SES and patient-reported education. The outcomes were physician ranks for patient satisfaction (Patient Satisfaction Questionnaire) and physical and mental health status (SF-12). RESULTS. In empirical Bayes models that adjusted for patient age, age squared, gender, insurance, and case mix, both the census-derived measures (block group and zip code) of SES and education had similar effects on each of the physician profiles. CONCLUSIONS. The results suggest that SES derived from either patient addresses geocoded to the census block group level or zip codes may offer a convenient alternative to individually collected SES when adjusting physician profiles for the socioeconomic characteristics of physicians' practices. The relative ease of using zip codes compared with geocoded addresses and loss of information associated with incomplete matching during geocoding suggest that zip code-derived SES may be preferable.

Racial/ethnic inequities in continuity and site of care: location, location, location.

OBJECTIVE: To examine how continuity of care with the same provider varies by race/ethnicity and by site of care. DATA SOURCES/STUDY SETTING: Secondary data analyses of the 1996-97 Community Tracking Study household survey, a representative cross-sectional sample of 34,858 U.S. adults (aged 18 to 64 years), were employed. STUDY DESIGN: Logistic regression analyses were conducted to explore relationships between respondents' race/ethnicity and having a regular site of care, type of site, and continuity with the same provider at this site. PRINCIPAL FINDINGS: Racial/ethnic minority group members were less likely than whites to identify a regular site of care. Among respondents who identified a regular site, minorities, particularly Spanish-speaking Hispanics, reported less continuity of care with the same provider. However, these disparities in continuity were largely explained by racial/ethnic differences in the types of places where care was obtained. Compared to those who were seen in physicians' offices, continuity with the same provider was much lower among respondents who were seen in hospital out patient departments or health centers or other clinics. CONCLUSIONS: Racial and ethnic minority group members receive less continuity of care for reasons including lack of a regular site of care and less continuity with the same provider. Greater use of hospital clinics and community health centers by minorities also contributes to this discontinuity.

Racial and ethnic disparities in perceptions of physician style and trust.

CONTEXT: While pervasive racial and ethnic inequalities in access to care and health status have been documented, potential underlying causes, such as patients' perceptions of their physicians, have not been explored as thoroughly. OBJECTIVE: To assess whether a person's race or ethnicity is associated with low trust in the physician. DESIGN, SETTING, AND PARTICIPANTS: Data were obtained from the 1996 through 1997 Community Tracking Survey, a nationally representative sample. Adults who identified a physician as their regular provider and had at least 1 physician visit in the preceding 12 months were included (N = 32,929). MAIN OUTCOME MEASURE: Patients' ratings of their satisfaction with the style of their physician and their trust in physicians. The Satisfaction With Physician Style Scale measured respondents' perceptions of their physicians' listening skills, explanations, and thoroughness. The Trust in Physician Scale measured respondents' perceptions that their physicians placed the patients' needs above other considerations, referred the patient when needed, performed unnecessary tests or procedures, and were influenced by insurance rules. RESULTS: After adjustment for socioeconomic and other factors, minority group members reported less positive perceptions of physicians than whites on these 2 conceptually distinct scales. Minority group members who lacked physician continuity on repeat clinic visits reported even less positive perceptions of their physicians on these 2 scales than whites. CONCLUSIONS: Patients from racial and ethnic minority groups have less positive perceptions of their physicians on at least 2 important dimensions. The reasons for these differences should be explored and addressed. Arch Fam Med. 2000;9:1156-1163

Inequality in quality: addressing socioeconomic, racial, and ethnic disparities in health care.

Socioeconomic and racial/ethnic disparities in health care quality have been extensively documented. Recently, the elimination of disparities in health care has become the focus of a national initiative. Yet, there is little effort to monitor and address disparities in health care through organizational quality improvement. After reviewing literature on disparities in health care, we discuss the limitations in existing quality assessment for identifying and addressing these disparities. We propose 5 principles to address these disparities through modifications in quality performance measures: disparities represent a significant quality problem; current data collection efforts are inadequate to identify and address disparities; clinical performance measures should be stratified by race/ethnicity and socioeconomic position for public reporting; population-wide monitoring should incorporate adjustment for race/ethnicity and socioeconomic position; and strategies to adjust payment for race/ethnicity and socioeconomic position should be considered to reflect the known effects of both on morbidity. JAMA. 2000;283:2579-2584

Vaginal douching and preterm birth: an intriguing hypothesis.

The rate of preterm birth has risen in recent years and is twice as high among black women as among white women. Neither the underlying causes nor the reasons for the racial disparity are clearly understood. Further, preventable risk factors have not been identified. We hypothesize that vaginal douching plays a key role in the risk of infection-related spontaneous preterm birth. Vaginal douching is a common behavior, twice as prevalent among black women as among white women. Douching may be an important mechanism by which vaginal pathogens gain access to the upper genital tract. Douching increases the risk of acquiring bacterial vaginosis. It may also facilitate the ascent of microorganisms into the upper genital tract, resulting in a chronic bacterial colonization inside the uterus. During pregnancy, the host inflammatory response is initiated, which stimulates preterm labor and birth. Douching, a potentially preventable risk factor, may explain a substantial proportion of the black-white disparity in preterm birth.

Individual income, income inequality, health, and mortality: what are the relationships?

OBJECTIVE: To examine the pathways between income inequality, self-rated health, and mortality in the United States. DATA SOURCE: The first National Health and Nutrition Examination Survey and Epidemiologic Follow-up Study. DESIGN: This was a longitudinal, multilevel study. DATA COLLECTION: Baseline data were collected on county income inequality, individual income, age, sex, self-rated health, level of depressive symptoms, and severity of biomedical morbidity from physical examination. Follow-up data included self-rated health assessed in 1982 through 1984 and mortality through 1987. PRINCIPAL FINDINGS: After adjustment for age and sex, income inequality had a modest independent effect on the level of depressive symptoms, and on baseline and follow-up self-rated health, but no independent effect on biomedical morbidity or subsequent mortality. Individual income had a larger effect on severity of biomedical morbidity, level of depressive symptoms, baseline and follow-up self-rated health, and mortality. CONCLUSION: Income inequality appears to have a small effect on self-rated health but not mortality; the effect is mediated in part by psychological, but not biomedical pathways. Individual income has a much larger effect on all of the health pathways.

Do physicians who diagnose more mental health disorders generate lower health care costs?

BACKGROUND: Underrecognition and undertreatment of mental health disorders in primary care have been associated with poor health outcomes and increased health care costs, but little is known about the impact of the diagnoses of mental health disorders on health care expenditures or outcomes. Our goal was to examine the relationships between the proportion of mental health diagnoses by primary care physicians and both health care expenditures and the risk of avoidable hospitalizations. METHODS: We used cross-sectional analyses of claims data from an independent practice association-style (IPA) managed care organization in Rochester, New York, in 1995. The sample was made up of the 457 primary care physicians in the IPA and the 243,000 adult patients assigned to their panels. We looked at total expenditures per panel member per year generated by each primary care physician and avoidable hospitalizations among their patients. RESULTS: After adjustment for case mix, physicians who recorded a greater proportion of mental health diagnoses generated significantly lower per panel member expenditures. For physicians in the highest quartile of recording mental health diagnoses, expenditures were 9% lower than those of physicians in the lowest quartile (95% confidence interval, 5% - 13%). There was a trend (P = .051) for patients of physicians in the highest quartile of recording mental health diagnoses to be at lower risk for an avoidable hospitalization than those of physicians in the lowest quartile. CONCLUSIONS: Primary care physicians with higher proportions of recorded mental health diagnoses generate significantly lower panel member costs, and their patients may be less likely to be admitted for avoidable hospitalization conditions.

Social determinants of (un)healthy behaviors.

Medical education has historically relied on the rational choice model as a vehicle for promoting health behavior change, and has largely overlooked the powerful relationships between social class and health behaviors. The rational choice model, which assumes that people can choose to pursue behaviors that are needed for their health, has some clinical utility, especially in some circumstances, but it runs the risk of missing key sources of influence and of blaming the victim. The biopsychosocial model provides an alternative basis for teaching about health behavior change. Health behavior needs to be understood in a broad social context, in which social class is recognized as playing a large part in shaping many people's health behaviors through multiple pathways, including limited opportunities for self-fulfillment, financial constraints, health beliefs, self-efficacy, stress, and social support. In addition to highlighting the limitations of the rational choice model, we illustrate how to integrate the socio-cultural context into teaching about behavior change. Specific curricular suggestions include exercises for: (1) increasing students' awareness of their own biases regarding unhealthy behaviors and individual responsibility for change; (2) enhancing knowledge of social factors that impact health; (3) building advocacy skills; (4) learning from patients; and (5) practicing counseling skills through role-plays.

Influence of patient education on profiles of physician practices.

BACKGROUND: Few data are available about the effect of patient socioeconomic status on profiles of physician practices. OBJECTIVE: To determine the ways in which adjustment for patients' level of education (as a measure of socioeconomic status) changes profiles of physician practices. DESIGN: Cross-sectional survey of patients in physician practices. SETTING: Managed care organization in western New York State. PARTICIPANTS: A random sample of 100 primary care physicians and 50 consecutive patients seen by each physician. MEASUREMENTS: Ranks of physicians for patient physical and mental health (Short Form 12-Item Health Survey) and satisfaction (Patient Satisfaction Questionnaire), adjusted for patient age, sex, morbidity, and education. RESULTS: Physicians whose patients had a lower mean level of education had significantly better ranks for patient physical and mental health status after adjustment for patients' level of education level than they did before adjustment (P < 0.001); this result was not seen for patient satisfaction. After adjustment for patients' level of education, each 1-year decrease in mean educational level was associated with a rank that improved by 8.1 (95% CI, 6.6 to 9.6) for patient physical health status and by 4.9 (CI, 3.9 to 5.9) for patient mental health status. Adjustment for education had similar effects for practices with more educated patients and those with less educated patients. CONCLUSIONS: Profiles of physician practices that base ratings of physician performance on patients' physical and mental health status are substantially affected by patients' level of education. However, these results do not suggest that physicians who care for less educated patients provide worse care. Physician profiling should account for differences in patients' level of education.

Patients and community together. A family medicine community-oriented primary care project in an urban private practice.

BACKGROUND: There has been considerable discussion in the literature regarding the value and feasibility of community-oriented primary care (COPC), but relatively few published real-world examples. OBJECTIVE: To examine the effect of a practice-based COPC project on rates of preventive health interventions within an inner-city family medicine practice. METHODS: A newly created community advisory board called Patients and Community Together (PACT) and the medical director of the practice in Rochester, NY, collaborated on all phases of the COPC project. Papanicolaou smear and mammography screening, childhood immunizations, diabetes control, and smoking cessation were targeted for intervention. A practice/community awareness campaign was instituted and individual and group incentives were developed. Progress was monitored through a computerized medical record that included all active patients in the practice. RESULTS: Rates of annual Papanicolaou smears increased from 46% to 71%; annual mammography for women older than age 50 years, from 56% to 86%; completed childhood immunizations when younger than 6 years, from 78% to 97%; and performance of semiannual glycosylated hemoglobin, from 85% to 92%. Rates of patients with glycosylated hemoglobin values under 10% improved from 56% to 77%. There were 5 smokers who successfully quit. CONCLUSION: This project illustrates how practice-based COPC can be successfully implemented within a private practice setting. It also shows how COPC principles can be used to achieve the goals for Healthy People 2000 within inner-city practices.

The adequacy of Papanicolaou smears as performed by family physicians and obstetrician-gynecologists.

BACKGROUND: Little is known about the quality of Papanicolaou (Pap) smears performed by family physicians and obstetrician-gynecologists. METHODS: Using hospital archival records of Pap smears performed from 1995 to 1997, we compared the quality of Pap smear sampling and the rate of detection of significant cytologic abnormalities by family physicians and obstetrician-gynecologists. Using hierarchic logistic regression, we examined the relationship between physician specialty and Pap smear reports, controlling for patient age and socioeconomic position, multiple Pap smears performed by the same clinician, and physician attending status. RESULTS: A total of 34,916 Pap smears performed by 130 family physicians and 88 obstetrician-gynecologist residents and attending physicians were included in the analysis. There were no statistically significant differences by specialty in the rates of unsatisfactory reports (adjusted odds ratio [AOR] = 0.82; 95% confidence interval [CI], 0.48 - 1.38), satisfactory but limited reports (AOR = 1.16; 95% CI, 0.93 - 1.48), or detection rates of significant cytologic abnormalities (AOR = 0.83; 95% CI, 0.66 - 1.04). However, family physicians submitted more Pap smears with an absent endocervical component (AOR = 1.50; 95% CI, 1.07 - 2.11). CONCLUSIONS: These findings show no significant differences by specialty in Pap smear quality as measured by rates of unsatisfactory and satisfactory but limited reports, or detection of cytologic abnormalities. The finding of higher rates of absent endocervical cells, if replicated by further study, may suggest the need for improved training of family physicians in sampling the endocervix.

Is lower income associated with greater biopsychosocial morbidity? Implications for physicians working with underserved patients.

BACKGROUND: Previous studies have established a powerful relationship between socioeconomic position and health. However, there has been little attention given to the association between income, biopsychosocial morbidity, and decline in health over time among primary care patients. METHODS: Data were collected using a survey mailed to patients receiving care at a family medicine center and through a follow-up survey mailed 2 years later. The independent association between various biopsychosocial measures and family income was assessed through stepwise linear regression. After controlling for baseline health status, the effect of family income on health status at follow-up was assessed. RESULTS: Data were available from 922 active family medicine patients who responded to the initial survey and from 655 who responded to the follow-up survey. In bivariate analyses, lower family income was significantly associated with poorer health status, greater psychological distress, more family dysfunction, less social support, more behavioral risk factors, higher rates of obesity and uncontrolled blood pressure, poorer physical and mental health status, and more medical diagnoses. In a multivariate analysis, age, sex, marital status, race, social network, family criticism, smoking, fat consumption, and health status were independently associated with family income. After controlling for covariates, including baseline health status, family income was a significant predictor of health status at follow-up. CONCLUSIONS: Family income is associated with biopsychosocial morbidity and health decline. Physicians who care for poorer patients will likely be confronted by challenging and complex biopsychosocial problems.

Does skepticism towards medical care predict mortality?

OBJECTIVES: Attitudes towards medical care have a strong effect on utilization and outcomes. However, there has been little attention to the impact on outcomes of doubts about the value of medical care. This study examines the impact of skepticism toward medical care on mortality using data from the 1987 National Medical Expenditure Survey (NMES). METHODS: A nationally representative sample from the United States comprising 18,240 persons (> or = 25 years) were surveyed. Skepticism was measured through an 8-item scale. Mortality at 5-year follow-up was ascertained through the National Death Index. RESULTS: In a proportional hazards survival analysis of 5-year mortality that controlled for age, sex, race, education, income, marital status, morbidity, and health status, skepticism toward medical care independently predicted subsequent mortality. That risk was attenuated after adjustment for health behaviors but not after adjustment for health insurance status. CONCLUSION: Medical skepticism may be a risk factor for early death. That effect may be mediated through higher rates of unhealthy behavior among the medically skeptical. Further studies using more reliable measures are needed.

Association of perceived family criticism with health behaviors.

BACKGROUND: Criticism from family members has been implicated in psychiatric illnesses such as schizophrenia, depression, and eating disorders. Perceived family criticism has also been linked to primary health care use. In our study, we examined the association between perceived family criticism and health behaviors, as well as the potential mediating role of negative affect. METHODS: A questionnaire was mailed to patients receiving care at a family medicine center. Perceived family criticism was measured using the Family Emotional Involvement and Perceived Criticism Scale. Diet, regular exercise, smoking status, and levels of depression, hostility, and physical health were also assessed through self report. RESULTS: Nine hundred twenty-two (62%) active family medicine patients responded to our questionnaire. Complete data were available for 875 patients. In univariate analysis, a high level of perceived family criticism was associated with various demographic characteristics, poorer physical health, negative affect, higher fat intake, lack of exercise, and smoking. In multivariate analysis, the association between a high level of perceived criticism and health behavior was independent of demographic characteristics and physical health, for example, high-fat diet (odds ratio [OR] = 1.47; 95% confidence interval [CI], 1.11 - 1.95), no regular exercise (OR = 1.37; 95% CI, 1.02 - 1.84) and current smoking (OR = 1.38; 95% CI, 1.00 - 1.90). None of these associations was statistically significant after controlling for depression and hostility. CONCLUSIONS: A high level of perceived family criticism is associated with adverse health behaviors. This association appears to be explained by resultant depression and hostility.