Primary Care Practice Workplace Social Capital: A Potential Secret Sauce for Improved Staff Well-Being and Patient Experience.

Patient experiences with the health-care system are increasingly seen as a vital measure of health-care quality. This study examined whether workplace social capital and employee outcomes are associated with patients' perceptions of care quality across multiple clinic sites in a diverse, urban safety net care setting. Data from clinic staff were collected using paper and pencil surveys and data from patients were collected via a telephone survey. A total of 8392 adult primary care patients and 265 staff (physicians, nurses, allied health, and support staff) were surveyed at 10 community health clinics. The staff survey included brief measures of workplace social capital, burnout, and job satisfaction. The patient-level outcome was patients' overall rating of the quality of care. Factor analysis and reliability analysis were conducted to examine measurement properties of the employee data. Data were aggregated and measures were examined at the clinic site level. Workplace social capital had moderate to strong associations with burnout (r = -0.40, P < .01) and job satisfaction (r = 0.59, P < .01). Mean patient quality of care rating was 8.90 (95% confidence interval: 8.86-8.94) ranging from 8.57 to 9.18 across clinic sites. Pearson correlations with patient-rated care quality were high for workplace social capital (r = 0.88, P = .001), employee burnout (r = -0.74, P < .05), and satisfaction (r = 0.69, P < .05). Patient-perceived clinic quality differences were largely explained by differences in workplace social capital, staff burnout, and satisfaction. Investments in workplace social capital to improve employee satisfaction and reduce burnout may be key to better patient experiences in primary care.

Associations between Difficulty Paying Medical Bills and Forgone Medical and Prescription Drug Care.

Problems paying medical bills have been reported to be associated with increased stress, bankruptcy, and forgone medical care. Using the Behavioral Model for Vulnerable Populations developed by Gelberg et al as a framework, as well as data from the 2010 Ohio Family Health Survey, this study examined the relationships between difficulty paying medical bills and forgone medical and prescription drug care. Logistic regression was used to examine associations between difficulty paying medical bills and predisposing, enabling, need (health status), and health behaviors (forgoing medical care). Difficulty paying medical bills increased the effect of lack of health insurance in predicting forgone medical care and had a conditional effect on the association between education and forgone prescription drug care. Those who had less than a bachelor's degree were more likely to forgo prescription drug care than those with a bachelor's degree, but only if they had difficulty paying medical bills. Difficulty paying medical bills also accounted for the relationships between several population characteristics (eg, age, income, home ownership, health status) in predicting forgone medical and prescription drug care. Policies to cap out-of-pocket medical expenses may mitigate health disparities by addressing the impact of difficulty paying medical bills on forgone care.

Neighborhood racial residential segregation and changes in health or death among older adults.

We assessed relationships between neighborhood racial residential segregation (RRS), individual-level health declines and mortality using Health and Retirement Study data. We calculated the census-tract level Location Quotient for Racial Residential Segregation (LQRRS), and estimated adjusted relative risks (ARR) of LQRRS for declines in self-reported health or death 1992-2000, controlling for individual-level characteristics. Of 6653 adults, 3333 lived in minimal, 2242 in low, 562 in moderate, and 516 in high LQRRS tracts in 1992. Major decline/death rates were: 18.6%, 25.2%, 33.8% and 30.4% in minimal, low, moderate and high tracts, respectively. Adjusting for demographic characteristics, residence in low, moderate and high LQRRS census tracts was associated with greater likelihood of major decline/death compared to minimal LQRRS. Controlling for all variables, only moderate LQRRS predicted major decline/death, ARR=1.31 (95% CI 1.07, 1.59; p<.05).

Measuring disparities: bias in the Short Form-36v2 among Spanish-speaking medical patients.

BACKGROUND: Many national surveys have found substantial differences in self-reported overall health between Spanish-speaking Hispanics and other racial/ethnic groups. However, because cultural and language differences may create measurement bias, it is unclear whether observed differences in self-reported overall health reflect true differences in health. OBJECTIVES: This study uses a cross-sectional survey to investigate psychometric properties of the Short Form-36v2 for subjects across 4 racial/ethnic and language groups. Multigroup latent variable modeling was used to test increasingly stringent criteria for measurement equivalence. SUBJECTS: Our sample (N=1281) included 383 non-Hispanic whites, 368 non-Hispanic blacks, 206 Hispanics interviewed in English, and 324 Hispanics interviewed in Spanish recruited from outpatient medical clinics in 2 large urban areas. RESULTS: We found weak factorial invariance across the 4 groups. However, there was no evidence for strong factorial invariance. The overall fit of the model was substantially worse (change in Comparative Fit Index >0.02, root mean square error of approximation change >0.003) after requiring equal intercepts across all groups. Further comparisons established that the equality constraints on the intercepts for Spanish-speaking Hispanics were responsible for the decrement to model fit. CONCLUSIONS: Observed differences between SF-36v2 scores for Spanish-speaking Hispanics are systematically biased relative to the other 3 groups. The lack of strong invariance suggests the need for caution when comparing SF-36v2 mean scores of Spanish-speaking Hispanics with those of other groups. However, measurement equivalence testing for this study supports correlational or multivariate latent variable analyses of SF-36v2 responses across all the 4 subgroups, as these analyses require only weak factorial invariance.

A multimethod investigation including direct observation of 3751 patient visits to 120 dental offices.

This report defines verbal interactions between practitioners and patients as core activities of dental practice. Trained teams spent four days in 120 Ohio dental practices observing 3751 patient encounters with dentists and hygienists. Direct observation of practice characteristics, procedures performed, and how procedure and nonprocedure time was utilized during patient visits was recorded using a modified Davis Observation Code that classified patient contact time into 24 behavioral categories. Dentist, hygienist, and patient characteristics were gathered by questionnaire. The most common nonprocedure behaviors observed for dentists were chatting, evaluation feedback, history taking, and answering patient questions. Hygienists added preventive counseling. We distinguish between preventive procedures and counseling in actual dental offices that are members of a practice-based research network. Almost a third of the dentist's and half of the hygienist's patient contact time is utilized for nonprocedure behaviors during patient encounters. These interactions may be linked to patient and practitioner satisfaction and effectiveness of self-care instruction.

Patients with worse mental health report more physical limitations after adjustment for physical performance.

OBJECTIVE: To determine whether mental health scores are associated with self-reported physical limitations after adjustment for physical performance. Patient-reported physical limitations are widely used to assess health status or the impact of disease. However, patients' mental health may influence their reports of their physical limitations. METHODS: Mental health and physical limitations were measured using the SF-36v2 mental health and physical functioning subscales in a cross-sectional study of 1024 participants. Physical performance was measured using tests of strength, endurance, dexterity, and flexibility. Multivariable linear regression was performed to examine the relationship between self-reported mental health and physical limitations adjusting for age, gender, race/ethnicity, education, body mass index, and measured physical performance. RESULTS: The score distributions for mental health and physical functioning were similar to that of the United States population in this age range. In unadjusted analyses, every 10-point decline in mental health scores was associated with a 4.8-point decline in physical functioning scores (95% Confidence Interval (CI) = -4.2 to -5.3; p < .001). After adjusting for covariables including measured physical performance, every 10-point decline in mental health scores was associated with a 3.0-point decline in physical functioning scores (95% CI = -2.5 to -3.6; p < .001). CONCLUSIONS: People with poor mental health scores seem to report more physical limitations than would be expected based on physical performance. When comparing self-reported physical limitations between groups, it is important to consider differences in mental health.

Revisiting comfort: strategies observed in the direct observation study.

The Surgeon General's 2000 report on oral health found that one-third of adults in the U.S. had not visited a dentist in the previous year. Fear of treatments received during a dental encounter can create a barrier to patients receiving care. Most studies of dental anxiety have focused on phobic patients; relatively few studies have explored attempts to provide comfort and alleviate anxiety among everyday patients. This study describes comforting strategies that were performed by dentists, dental assistants, and hygienists for their patient population as a whole. As part of the Direct Observation Study, 120 dental practices in Ohio were observed over a four-day period by trained research hygienists. Researchers observed and recorded 3,800 patient interactions with dentists and hygienists at 30-second intervals using 24 behavior-specific codes. In addition, observers composed qualitative notes detailing the patient visits and recorded in their notes specific comforting techniques performed by dentists, hygienists, and dental assistants.

Changes in health for the uninsured after reaching age-eligibility for Medicare.

BACKGROUND: Uninsured adults in late middle age are more likely to have a health decline than individuals with private insurance. OBJECTIVE: To determine how health and the risk of future adverse health outcomes changes after the uninsured gain Medicare. DESIGN: Prospective cohort study. PARTICIPANTS: Participants (N=3,419) in the Health and Retirement Study who transitioned from private insurance or being uninsured to having Medicare coverage at the 1996, 1998, 2000, or 2002 interview. MEASUREMENTS: We analyzed risk-adjusted changes in self-reported overall health and physical functioning during the transition period to Medicare (t(-2) to t(0)) and the following 2 years (t(0) to t(2)). RESULTS: Between the interview before age 65 (t(-2)) and the first interview after reaching age 65 (t(0)), previously uninsured individuals were more likely than those who had private insurance to have a major decline in overall health (adjusted relative risk [ARR] 1.46; 95% confidence interval [CI] 1.03 to 2.04) and to develop a new physical difficulty affecting mobility (ARR 1.24; 95% CI 0.96 to 1.56) or agility (ARR 1.33; 95% CI 1.12 to 1.54). Rates of improvement were similar between the 2 groups. During the next 2 years (t(0) to t(2)), adjusted rates of declines in overall health and physical functioning were similar for individuals who were uninsured and those who had private insurance before gaining Medicare. CONCLUSIONS: Gaining Medicare does not lead to immediate health benefits for individuals who were uninsured before age 65. However, after 2 or more years of continuous coverage, the uninsured no longer have a higher risk of adverse health outcomes.

Health insurance coverage and the risk of decline in overall health and death among the near elderly, 1992-2002.

BACKGROUND: Although individuals' health insurance coverage changes frequently, previous analyses have not accounted for changes in insurance coverage over time. OBJECTIVE: We sought to determine the independent association between lack of insurance and the risk of a decline in self-reported overall health and death from 1992 to 2002, accounting for changes in self-reported overall health and insurance coverage. METHODS: We analyzed data from the Health and Retirement study, a prospective cohort study of a national sample of community-dwelling adults age 51-61 years old at baseline. Major decline in self-reported overall health and mortality was determined at 2-year intervals. RESULTS: People who were uninsured at baseline had a 35% (95% confidence interval [CI] 12-62%) higher risk-adjusted mortality from 1992 to 2002 compared with those with private insurance. However, when we analyzed outcomes over 2-year intervals, individuals who were uninsured at the start of each interval were more likely to have a major decline in their overall health (pooled adjusted relative risk 1.43, 95% CI 1.28-1.63), but they were equally likely to die (pooled adjusted relative risk 0.96, 95% CI 0.73-1.27). Of the 1512 people who were uninsured at baseline, 220 (14.6%) died; of those who died, only 70 (31.8%) were still uninsured at the HRS interview prior to death. CONCLUSIONS: Death does not appear to be a short-term consequence of being uninsured. Instead, higher long-term mortality among the uninsured results from erosion in this population's health status over time and the attendant higher mortality associated with this. Most deaths among the uninsured occur after individuals have gained either public or private health insurance.

Explaining US racial/ethnic disparities in health declines and mortality in late middle age: the roles of socioeconomic status, health behaviors, and health insurance.

Pervasive health disparities continue to exist among racial/ethnic minority groups, but the factors related to these disparities have not been fully elucidated. We undertook this prospective cohort study to determine the independent contributions of socioeconomic status (SES), health behaviors, and health insurance in explaining racial/ethnic disparities in mortality and health declines. Our study period was 1992-1998, and our study population consists of a US nationally representative sample of 6286 non-Hispanic whites (W), 1391 non-Hispanic blacks (B), 405 Hispanics interviewed in English (H/E), and 318 Hispanics interviewed in Spanish (H/S), ages 51-61 in 1992 in the Health and Retirement Study. The main outcome measures were death; major decline in self-reported overall health (SROH); and combined outcome of death or major decline in SROH. Crude mortality rates over the 6-year study period for W, B, H/E and H/S were 5.8%, 10.6%, 5.8%, and 4.4%, respectively. Rates of major decline in SROH were 14.6%, 23.2%, 22.1% and 39.4%, for W, B, H/E and H/S, respectively. Higher mortality rates for B versus W were mostly explained by worse baseline health. For major decline in SROH, education, income, and net worth independently explained more of the disparities for all three minority groups as compared to health behaviors and insurance, reducing the effect for B and H/E to non-significance, while leaving a significant elevated odds ratio for H/S. Without addressing the as-yet undetermined and pernicious effects of lower SES, public health initiatives that promote changing individual health behaviors and increasing rates of insurance coverage among blacks and Hispanics will not eliminate racial/ethnic health disparities.

Health insurance coverage during the years preceding medicare eligibility.

BACKGROUND: Adults in late middle age who lack health insurance are more likely to die or experience a decline in their overall health. Because most estimates of the uninsured are cross-sectional, the true number of individuals whose health is at risk from being uninsured is unclear. METHODS: We analyzed a nationally representative sample of 6065 US adults 51 to 57 years old who were interviewed in 1992, 1994, 1996, 1998, and 2000 as part of the Health and Retirement Study. Insurance coverage was determined at the time of each interview and classified as private, public, or uninsured. Longitudinal data were used to determine the proportion of individuals who were uninsured at any interview during the 8-year study period. RESULTS: The proportion of participants who were uninsured at the time of the 1992, 1994, 1996, 1998, and 2000 interviews was 14.3%, 10.8%, 9.7%, 8.8%, and 8.2%, respectively. People frequently transitioned between having insurance and being uninsured. As a result, despite the declining prevalence of being uninsured, the percentage who were uninsured at least once during the 8-year period rose to 23.3% by 2000; few participants (2.6%) were continuously uninsured. Only 60.1% of participants were continuously enrolled in private insurance across all 5 interviews. CONCLUSIONS: The proportion of US adults in late middle age at risk from being uninsured over a 10-year follow-up period was 2 to 3 times higher than cross-sectional estimates. At least one quarter of older adults will be uninsured at some point during the years preceding eligibility for Medicare.

Using tablet PC's in dental practice research: technology, cost savings, and direct data entry "on the go".

Recent technological developments have greatly simplified data collection, recording, and transfer in studies relying on direct observation or survey methodology, reducing both cost of data collection and the time necessary to prepare data for analysis. The purpose of this communication is to describe how tablet PC computers can be used in data collection, thereby eliminating intermediate data collection steps and chances for error, and thus reducing overall cost. The data collection procedure used to illustrate this technology is a direct observation study of the factors associated with the delivery of preventive services by dentists and hygienists in their daily practice.

Intermittent lack of health insurance coverage and use of preventive services.

OBJECTIVES: This study examined the association between intermittent lack of health insurance coverage and use of preventive health services. METHODS: Analyses focused on longitudinal data on insurance status and preventive service use among a national sample of US adults who participated in the Health and Retirement Study. RESULTS: Findings showed that, among individuals who obtain insurance coverage after histories of intermittent coverage, relatively long periods may be necessary to reestablish clinically appropriate care patterns. Increasing periods of noncoverage led to successively lower rates of use of most preventive services. CONCLUSIONS: Intermittent lack of insurance coverage-even across a relatively long period-results in less use of preventive services. Studies that examine only current insurance status may underestimate the population at risk from being uninsured.

Loss of health insurance and the risk for a decline in self-reported health and physical functioning.

BACKGROUND: Millions of Americans are intermittently uninsured. The health consequences of this are not known. SETTING: National survey. PARTICIPANTS: Six thousand seventy-two participants in the Health and Retirement Study (HRS) age 51 to 61 years old with private insurance in 1992. MEASUREMENTS: Loss of insurance coverage between 1992 and 1992 and development of a major decline in overall health or a new physical difficulty between 1994 and 1996. RESULTS: In 1994, 5768 (95.0%) people continued to have private insurance, 229 (3.8%) reported having lost all insurance, and 75 (1.2%) converted to having only public insurance. Over the subsequent 2 years (1994-1996), the risk for a major decline in overall health was 15.6% for those who lost all insurance versus 7.2% for those with continuous private insurance (P <0.001). After adjusting for baseline sociodemographics, health behaviors, and health status, the adjusted relative risk for a major decline in health for those who lost coverage was 1.82 (95% CI, 1.25-2.59) compared with those with continuous private insurance. Those who lost insurance also had a higher risk for developing a new mobility difficulty compared with those with continuous private insurance (28.5% vs. 20.4%, respectively; P= 0.02), but this was not significant in multivariate analysis (adjusted RR, 1.26; 95% CI, 0.90-1.68). CONCLUSIONS: Loss of insurance has adverse health consequences even within 2 years after becoming uninsured. Studies of insurance coverage should routinely measure the number of Americans uninsured at any time over the preceding 2 years as a more accurate measure of the population at risk from being uninsured.