The detection of psychiatric illness by questionnaire

Measuring Health: A Guide to Rating Scales and Questionnaires

www.mobilehealthmap.org 617‐442‐3200 New research shows that mobile health clinics improve health outcomes for hard to reach populations in cost‐effective and culturally competent ways . A Harvard Medical School study determined that for every dollar invested in a mobile health clinic, the US healthcare system saves $30 on average. Mobile health clinics, which offer a range of services from preventive screenings to asthma treatment, leverage their mobility to treat people in the convenience of their own communities. For example, a mobile health clinic in Baltimore, MD, has documented savings of $3,500 per child seen due to reduced asthma‐related hospitalizations. The estimated 2,000 mobile health clinics across the country are providing similarly cost‐effective access to healthcare for a wide range of populations. Many successful mobile health clinics cite their ability to foster trusting relationships. Qualitative research in such mobile health clinics has found that patients value the informal, familiar environment in a convenient location, with staff who “are easy to talk to,” and that the staff’s “marriage of professional and personal discourses” provides patients the space to disclose information themselves. A communications academic argued that mobile health clinics’ unique use of space is important in facilitating these relationships. Mobile health clinics park in the heart of the community in familiar spaces, like shopping centers or bus stations, which lend themselves to the local community atmosphere.

Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care

Safe prevention of the primary cesarean delivery

In his seminal book, Shewhart (1931) makes no demand on the distribution of the characteristic to be plotted on a control chart. How then can we explain the idea that normality is, if not required, at least highly desirable? I believe that it has come about through the many statistical studies of control-chart behavior. If one is to study how a control chart behaves, it is necessary to relate it to some distribution. The obvious choice is the normal distribution because of its ubiquity as a satisfactory model. This is bolstered by the existence of the Central Limit Theorem.

Sampling: Design and Analysis

Cesarean delivery is the most commonly performed surgical procedure in the United States, and cesarean rates are increasing. Working with 2009 data from 593 US hospitals nationwide, we found that cesarean rates varied tenfold across hospitals, from 7.1 percent to 69.9 percent. Even for women with lower-risk pregnancies, in which more limited variation might be expected, cesarean rates varied fifteenfold, from 2.4 percent to 36.5 percent. Thus, vast differences in practice patterns are likely to be driving the costly overuse of cesarean delivery in many US hospitals. Because Medicaid pays for nearly half of US births, government efforts to decrease variation are warranted. We focus on four promising directions for reducing these variations, including better coordinating maternity care, collecting and measuring more data, tying Medicaid payment to quality improvement, and enhancing patient-centered decision making through public reporting.

Cesarean Delivery Rates Vary Tenfold Among US Hospitals; Reducing Variation May Address Quality And Cost Issues

Background: Many patients do not adhere to treatment because they cannot afford their prescription medications, putting them at increased risk of adverse health outcomes. We determined the prevalence of cost-related nonadherence and investigated its associated characteristics, including whether a person has drug insurance. Methods: Using data from the 2007 Canada Community Health Survey, we analyzed the responses of 5732 people who answered questions about cost-related nonadherence to treatment. We determined the national prevalence of cost-related nonadherence and used logistic regression to evaluate the association between cost-related nonadherence and a series of demographic and socioeconomic variables, including province of residence, age, sex, household income, health status and having drug insurance. Results: Cost-related nonadherence was reported by 9.6% (95% confidence interval [CI] 8.5%–10.6%) of Canadians who had received a prescription in the past year. In our adjusted model, we found that people in poor health (odds ratio [OR] 2.64, 95% CI 1.77–3.94), those with lower income (OR 3.29, 95% CI 2.03–5.33), those without drug insurance (OR 4.52, 95% CI 3.29–6.20) and those who live in British Columbia (OR 2.56, 95% CI 1.49–4.42) were more likely to report cost-related nonadherence. Predicted rates of cost-related nonadherence ranged from 3.6% (95% CI 2.4–4.5) among people with insurance and high household incomes to 35.6% (95% CI 26.1%–44.9%) among people with no insurance and low household incomes. Interpretation: About 1 in 10 Canadians who receive a prescription report cost-related nonadherence. The variability in insurance coverage for prescription medications appears to be a key reason behind this phenomenon.

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The effect of cost on adherence to prescription medications in Canada

Objective Previous cross-sectional studies have suggested an association between medication nonadherence and hospitalization for individuals with schizophrenia. However, such analyses typically measure adherence averaged over long time periods. We investigated the temporal relationship between nonadherence and hospitalization risk using a daily measure of medication availability. Method Our observational cohort included 1191 patients with schizophrenia (ICD-9 criteria) enrolled in Maine and New Hampshire Medicaid programs who initiated atypical antipsychotic therapy between January 1, 2001, and December 31, 2003. Pharmacy claims were used to define days with gaps in medication availability. We tested the association of gaps in medication availability with all-cause, mental health, and schizophrenia-specific hospitalization using a Cox regression model. Results Compared to individuals with available medication, individuals in the first 10 days following a missed prescription refill had a hazard ratio of 1.54 (95% CI = 1.02 to 2.32) for mental health hospitalization and 1.77 (95% CI = 1.16 to 2.71) for schizophrenia hospitalization. Similarly, medication gaps of more than 30 days were associated with 50% increased hazard for all 3 hospitalization outcomes. Switching and augmenting therapy, previous hospitalization, and clinical severity measures were also associated with substantially increased hazard of hospitalization. Conclusion Our findings indicate that patients may be at significantly increased risk for hospitalization as early as the first 10 days following a missed medication refill. Patients who switched or augmented medications or were previously hospitalized also demonstrated increased hospitalization risk. Clinicians and Medicaid programs should consider using pharmacy claims to monitor medication use and target adherence interventions to reduce relapses in this vulnerable population.

A Longitudinal Study of Medication Nonadherence and Hospitalization Risk in Schizophrenia

Antibiotic use is a modifiable driver of antibiotic resistance. In many circumstances, antibiotic use is overly broad or unnecessary. We systematically assessed factors associated with antibiotic prescribing for respiratory tract infections (RTI). Studies were included if they used actual (not self-reported or intended) prescribing data, assessed factors associated with antibiotic prescribing for RTIs, and performed multivariable analysis of associations. We searched Medline, Embase, and International Pharmaceutical Abstracts using keyword and MeSH (medical subject headings) search terms. Two authors reviewed each abstract and independently appraised all included texts. Data on factors affecting antibiotic prescribing were extracted. Our searches retrieved a total of 2,848 abstracts, with 97 included in full-text review and 28 meeting full inclusion criteria. Compared to other factors, diagnosis of acute bronchitis was associated with increased antibiotic prescribing (range of adjusted odds ratios [aOR], 1.56 to 15.9). Features on physical exam, such as fever, purulent sputum, abnormal respiratory exam, and tonsillar exudate, were also associated with higher odds of antibiotic prescribing. Patient desire for an antibiotic was not associated or was modestly associated with prescription (range of aORs, 0.61 to 9.87), in contrast to physician perception of patient desire for antibiotics, which showed a stronger association (range of aORs, 2.11 to 23.3). Physician's perception of patient desire for antibiotics was strongly associated with antibiotic prescribing. Antimicrobial stewardship programs should continue to expand in the outpatient setting and should emphasize clear and direct communication between patients and physicians, as well as signs and symptoms that do and do not predict bacterial etiology of upper respiratory tract infections.

Systematic Review of Factors Associated with Antibiotic Prescribing for Respiratory Tract Infections

Study objective: To investigate the association between perceptions of neighbourhood physical and social characteristics and three health outcomes (self assessed health status, chronic conditions, and emotional distress). Design: Cross sectional survey data analysed in small neighbourhoods. Setting: Hamilton, Ontario, Canada, a medium sized industrial city, located at the western end of Lake Ontario (population at the time of the study about 380 000). Participants: Random sample of 1504 adults aged 18 years and older residing in four contrasting neighbourhoods. Main results: Significant differences across the four neighbourhoods are apparent in self assessed health status and emotional distress, but not in chronic conditions. Neighbourhoods with lower SES reported poorer health and more emotional distress. Perceptions of the physical environment dominated social concerns in all neighbourhoods. For all three health outcomes, individual risk factors followed expectations, with measures of poverty, age, and lifestyle all significantly associated with poor health outcomes. Physical environmental problems were positively and significantly associated with poor physical and emotional health. Specifically, people reporting they dislike aspects of their neighbourhood’s physical environment are 1.5 times more likely to report chronic health conditions (OR 1.56, 95% CI 1.19 to 2.05), while those reporting physical likes with their neighbourhood are less likely to report fair/poor health (OR 0.50, 95% CI 0.28 to 0.90) or emotional distress (OR 0.45, 95% CI 0.26 to 0.80). Conclusions: These results demonstrate the importance of neighbourhood perceptions as a determinant of health, as well as conventional factors such as low income, lifestyle, and age. The dominance of physical environmental concerns may have arisen from the industrial nature of Hamilton, but this result merits further investigation.

https://jech.bmj.com/content/jech/58/3/192.full.pdf

Michael R. Law

Papers

Cesarean Delivery Rates Vary Tenfold Among US Hospitals; Reducing Variation May Address Quality And Cost Issues

The effect of cost on adherence to prescription medications in Canada

A Longitudinal Study of Medication Nonadherence and Hospitalization Risk in Schizophrenia

Systematic Review of Factors Associated with Antibiotic Prescribing for Respiratory Tract Infections

Linking perceptions of neighbourhood to health in Hamilton, Canada