Collaborative patient-provider communication and uptake of adolescent vaccines

RATIONALE

Recommendations from healthcare providers are one of the most consistent correlates of adolescent vaccination, but few studies have investigated other elements of patient-provider communication and their relevance to uptake.

OBJECTIVE

We examined competing hypotheses about the relationship of patient-driven versus provider-driven communication styles with vaccination.

METHODS

We gathered information about vaccine uptake from healthcare provider-verified data in the 2010 National Immunization Survey-Teen for tetanus, diphtheria, and pertussis (Tdap) booster, meningococcal vaccine, and human papillomavirus (HPV) vaccine (initiation among females) for adolescents ages 13-17. We categorized communication style in parents' conversations with healthcare providers about vaccines, based on parents' reports (of whether a provider recommended a vaccine and, if so, if conversations were informed, shared, or efficient) (N = 9021).

RESULTS

Most parents reported either no provider recommendation (Tdap booster: 35%; meningococcal vaccine: 46%; and HPV vaccine: 31%) or reported a provider recommendation and shared patient-provider communication (43%, 38%, and 49%, respectively). Provider recommendations were associated with increased odds of vaccination (all ps < 0.001). In addition, more provider-driven communication styles were associated with higher rates of uptake for meningococcal vaccine (efficient style: 82% vs. shared style: 77% vs. informed style: 68%; p < 0.001 for shared vs. informed) and HPV vaccine (efficient style: 90% vs. shared style: 70% vs. informed style: 33%; p < 0.05 for all comparisons).

CONCLUSION

Efficient communication styles were used rarely (≤2% across vaccines) but were highly effective for encouraging meningococcal and HPV vaccination. Intervention studies are needed to confirm that efficient communication approaches increase HPV vaccination among adolescents.

Barriers and Facilitators in Providing Community Mental Health Care to Returning Veterans with a History of Traumatic Brain Injury and Co-occurring Mental Health Symptoms

As Veterans from recent conflicts return from deployments, increasing numbers are seeking care for physical (e.g., history of traumatic brain injury) and mental health (e.g., depression, anxiety) symptoms. Data suggest that only about half of recent Veterans are seeking care within the Veterans Health Administration. As such, providers within the community are likely to require additional training to meet the unique needs of these Veterans and their families. Towards this end, meetings were held with administrators and clinicians at Colorado Community Mental Health Centers (CMHCs) to identify current barriers and facilitators, as they relate to working with Veterans with a history of TBI and co-occurring mental health conditions. On-whole, CMHC employees had limited experience with providing care to the cohort of interest. Additional training will assist with increasing capacity and a web-based toolkit was developed to facilitate the transfer of knowledge ( www.mirecc.va.gov/visn19/tbi_toolkit ).

Performance improvement CME for quality: challenges inherent to the process

PURPOSE

The purpose of this paper is to discuss the perspective debates upon the real-time challenges for a three-staged Performance Improvement Continuing Medical Education (PI-CME) model, an innovative and potential approach for future CME, to inform providers to think, prepare and to act proactively.

DESIGN/METHODOLOGY/APPROACH

In this discussion, the challenges associated for adopting the American Medical Association's three-staged PI-CME model are reported.

FINDINGS

Not many institutions in USA are using a three-staged performance improvement model and then customizing it to their own healthcare context for the specific targeted audience. They integrate traditional CME methods with performance and quality initiatives, and linking with CME credits.

PRACTICAL IMPLICATIONS

Overall the US health system is interested in a structured PI-CME model with the potential to improve physicians practicing behaviors.

ORIGINALITY/VALUE

Knowing the dearth of evidence for applying this structured performance improvement methodology into the design of CME activities, and the lack of clarity on challenges inherent to the process that learners and providers encounter. This paper establishes all-important first step to render the set of challenges for a three-staged PI-CME model.

Private hospital sector development: an exploratory study on providers perspective in addis ababa, ethiopia

BACKGROUND

Over the past decade there is a trend of fast development in the private hospital sector in Ethiopia. This important component of the health care system has received policy attention and federal government is a promoter for private health care. Yet lack of basic data on the factors affecting the growth of private health care provision in the country and no studies are available on this issue in Ethiopia. The aim of this study is to get some preliminary insights on the factors affecting the growth and development of private hospital sector in Addis Ababa, Ethiopia with perspective of provider.

METHODS

A hospital based qualitative study was conducted in 25 for-profit hospitals in Addis Ababa using key informant in-depth interviews and secondary data was collected from Federal Ministry of Health and Addis Ababa City Health Administration and private hospital providers.

RESULTS

The findings of the study suggest that private hospital sector is expanding significantly in recent years in Ethiopia. The active role of government is a catalyst for the growth of private facilities in the country. Factors outside the health are growing disposable income, improvements in literacy, road networks, population growth and long standing diseases, all contribute to the trend. But private providers are facing many problems, like availability of trained manpower, escalation of costs, availability and quality of drugs and financing mechanisms.

CONCLUSION

Private hospital sector is expanding in Ethiopia. But private providers are vulnerable to imperfections in the existing market structure. Government and professional bodies need to make a concerted effort to address these issues and design appropriate strategies to promote and regulate this sector effectively.

THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING

Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians' behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians' behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations.

The effects of rurality on mental and physical health

The effects of rurality on physical and mental health are examined in analyses of a national dataset, the Community Tracking Survey, 2000-2001, that includes individual level observations from household interviews. We merge it with county level data reflecting community resources and use econometric methods to analyze this multi-level data. The statistical analysis of the impact of the choice of definition on outcomes and on the estimates and significance of explanatory variables in the model is presented using modern econometric methods, and differences in results for mental health and physical health are evaluated.