Childhood exposure to manganese and postural instability in children living near a ferromanganese refinery in Southeastern Ohio

Airborne manganese (Mn) exposure can result in neurotoxicity and postural instability in occupationally exposed workers, yet few studies have explored the association ambient exposure to Mn in children and postural stability. The goal of this study was to determine the association between Mn and lead (Pb) exposure, as measured by blood Pb, blood and hair Mn and time weighted distance (TWD) from a ferromanganese refinery, and postural stability in children. A subset of children ages 7-9. years enrolled in the Marietta Community Actively Researching Exposure Study (CARES) were invited to participate. Postural balance was conducted on 55 children residing in Marietta, Ohio and the surrounding area. Samples of blood were collected and analyzed for Mn and Pb, and samples of hair were analyzed for Mn. Neuromotor performance was assessed using postural balance testing with a computer force platform system. Pearson correlations were calculated to identify key covariates. Associations between postural balance testing conditions and Mn and Pb exposure were estimated with linear regression analyses adjusting for gender, age, parent IQ, and parent age. Mean blood Mn was 10. μg/L (SEM. = 0.36), mean blood Pb was 0.85. μg/dL (SEM. = 0.05), and mean hair Mn was 0.76. μg/g (SEM. = 0.16). Mean residential distance from the refinery was 11.5. km (SEM. = 0.46). All three measures of Mn exposure were significantly associated with poor postural balance. In addition, low-level blood Pb was also negatively associated with balance outcomes. We conclude that Mn exposure and low-level blood Pb are significantly associated with poor postural balance. © 2013 Elsevier Inc

A System-Theoretic Method for Modeling, Analysis, and Improvement of Lung Cancer Diagnosis-to-Surgery Process

Early diagnosis and treatment of lung cancer are of significant importance. In this paper, a system-theoretic method is introduced to analyze the diagnosis-to-treatment process for lung cancer patients who receive surgical resections. The complex care delivery process is decomposed into a collection of serial processes, each consisting of combinations of various tests and procedures. Closed formulas are derived to estimate the mean and coefficient of variation of waiting time during the diagnosis-to-surgery process. Simple indicators based on the data collected on the clinic/hospital floor are derived to identify the bottlenecks, i.e., the waiting times that impede the whole delivery process in the strongest manner. In addition, by approximating waiting times using Gamma distributions, an algorithm is introduced to evaluate the waiting-time performance, i.e., the probability to finish the diagnosis-to-surgery process within a desired or given time interval. Finally, a case study at Baptist Memorial Health System is introduced to illustrate the applicability of the method and provide recommendations for improvement

Reducing Bottlenecks to Improve the Efficiency of the Lung Cancer Care Delivery Process: A Process Engineering Modeling Approach to Patient-Centered Care

The process of lung cancer care from initial lesion detection to treatment is complex, involving multiple steps, each introducing the potential for substantial delays. Identifying the steps with the greatest delays enables a focused effort to improve the timeliness of care-delivery, without sacrificing quality. We retrospectively reviewed clinical events from initial detection, through histologic diagnosis, radiologic and invasive staging, and medical clearance, to surgery for all patients who had an attempted resection of a suspected lung cancer in a community healthcare system. We used a computer process modeling approach to evaluate delays in care delivery, in order to identify potential ‘bottlenecks’ in waiting time, the reduction of which could produce greater care efficiency. We also conducted ‘what-if’ analyses to predict the relative impact of simulated changes in the care delivery process to determine the most efficient pathways to surgery. The waiting time between radiologic lesion detection and diagnostic biopsy, and the waiting time from radiologic staging to surgery were the two most critical bottlenecks impeding efficient care delivery (more than 3 times larger compared to reducing other waiting times). Additionally, instituting surgical consultation prior to cardiac consultation for medical clearance and decreasing the waiting time between CT scans and diagnostic biopsies, were potentially the most impactful measures to reduce care delays before surgery. Rigorous computer simulation modeling, using clinical data, can provide useful information to identify areas for improving the efficiency of care delivery by process engineering, for patients who receive surgery for lung cancer

Pragmatic trial of a multidisciplinary lung cancer care model in a community healthcare setting: Study design, implementation evaluation, and baseline clinical results

Background: Responsible for 25% of all US cancer deaths, lung cancer presents complex care-delivery challenges. Adoption of the highly recommended multidisciplinary care model suffers from a dearth of good quality evidence. Leading up to a prospective comparative-effectiveness study of multidisciplinary vs. serial care, we studied the implementation of a rigorously benchmarked multidisciplinary lung cancer clinic. Methods: We used a mixed-methods approach to conduct a patient-centered, combined implementation and effectiveness study of a multidisciplinary model of lung cancer care. We established a co-located multidisciplinary clinic to study the implementation of this care-delivery model. We identified and engaged key stakeholders from the onset, used their input to develop the program structure, processes, performance benchmarks, and study endpoints (outcome-related process measures, patient- and caregiver-reported outcomes, survival). In this report, we describe the study design, process of implementation, comparative populations, and how they contrast with patients within the local and regional healthcare system. Trial Registration: ClinicalTrials.gov Identifier: NCT02123797. Results: Implementation: The multidisciplinary clinic obtained an overall treatment concordance rate of 90% (target \u3e 85%). Satisfaction scores were high, with \u3e 95% of patients and caregivers rating themselves as being very satisfied with all aspects of care from the multidisciplinary team (patient/caregiver response rate \u3e 90%). The Reach of the multidisciplinary clinic included a higher proportion of minority patients, more women, and younger patients than the regional population. Comparative effectiveness: The comparative effectiveness trial conducted in the last phase of the study met the planned enrollment per statistical design, with 178 patients in the multidisciplinary arm and 348 in the serial care arm. The multidisciplinary cohort had older age and a higher percentage of racial minorities, with a higher proportion of stage IV patients in the serial care arm. Conclusions: This study demonstrates a comprehensive implementation of a multidisciplinary model of lung cancer care, which will advance the science behind implementing this much-advocated clinical care model

Developing a congregational health needs assessment: Lessons learned from using a participatory research approach

Background: Health needs assessments help congregations identify issues of importance to them and the communities they serve. Few tools exist, with little known about the processes needed to develop such tools. Objective: Develop a congregational health needs assessment tool and implementation protocol with community, health-care, and academic partners. Methods: Meetings began in August 2018 to develop the Mid-South Congregational Health Needs Survey (MSCHS) and implementation protocol. Pilot testing occurred in December 2018 and feedback from 95 churches was used in modifications. Results: The MSCHS includes: demographics section, a 36-item health index, and the congregation’s top five needs. The implementation protocol includes steps for working with congregation leadership to identify members to complete the survey. Conclusions: Cross-disciplinary partnerships made the creation of the MSCHS and implementation protocol pos-sible. Successes include long-term engagement across partnership sectors, organizational “buy-in,” and development of a common language. These lessons can help others wanting to develop successful multi-sector partnerships

“All boats will rise”: Physicians’ perspectives on multidisciplinary lung cancer care in a community-based hospital setting

Purpose: We explored the perceived strengths, barriers to implementation, and suggestions for sustainable implementation of a multidisciplinary model within a community-based hospital system from the physicians’ perspectives. Methods: We conducted 9 focus groups with 37 physicians involved in the care of lung cancer patients. Grounded theory methodology guided the identification of recurrent themes that emerged from the qualitative data analysis. Results: The majority of study participants agreed that the multidisciplinary model could benefit patients by promoting high quality, efficient, and well-coordinated care. Co-location, financial disincentives, and time constraints were identified as major deterrents to full participation in a multidisciplinary clinic. Other perceived challenges were the integration of a multidisciplinary care model into the existing healthcare system, maintenance of referral streams, and designation of the physician primarily responsible for a patient’s care. Educating physicians about the availability of a multidisciplinary clinic, establishing efficient processes for initial consultations, implementing technology for virtual participation, and using a nurse navigator with reliable closed-loop communication were suggested to improve the implementation of the multidisciplinary model. Conclusions: Physicians generally agreed that the multidisciplinary model could improve lung cancer care, but they perceived significant personal, institutional, and system-level barriers that need to be addressed for its successful implementation in a community healthcare setting

Qualitative assessment of organizational barriers to optimal lung cancer care in a community hospital setting in the United States

Background Lung cancer is a major public health challenge in the United States with a complicated process of care delivery. In addition, it is a challenge for many lung cancer patients and their caregivers to navigate health care systems while coping with the disease. Objective To explore the organizational barriers to receiving quality health care from the perspective of lung cancer patients and their caregivers. Methods In a qualitative study involving 10 focus groups of patients and their caregivers, we recorded and transcribed guided discussions for analysis by using Dedoose software to investigate recurrent themes. Results Analysis of the transcriptions revealed 4 recurring themes related to organizational barriers to quality care: Insurance, scheduling, communication, and knowledge. The participants perceived support with navigating the health care system, either through their own social network or from within the health care systems, as beneficial in coping with the lung cancer, seeking information, expediting appointments, connecting patients to physicians, and receiving timely care. Limitations Institutional and geographic differences in the experience of lung cancer care may limit the generalizability of the results of this study. Conclusions This study offers insights into the perspectives of lung cancer patients and caregivers on the organizational barriers to receiving quality care. Targeting barriers related to insurance coverage, appointment scheduling, provider-patient communication, and patient or family education about lung cancer and its treatment process will likely improve patient and caregiver experience of care

Congregational health needs by key demographic variables: Findings from a congregational health needs assessment tool

Health needs assessments identify important issues to be addressed and assist organizations in prioritizing resources. Using data from the Mid-South Congregational Health Survey, top health needs (physical, mental, social determinants of health) were identified, and differences in needs by key demographic variables (age, sex, race/ethnicity, education) were examined. Church leaders and members (N = 828) from 92 churches reported anxiety/depression (65 %), hypertension/stroke (65 %), stress (62 %), affordable healthcare (60 %), and overweight/obesity (58 %) as the top health needs in their congregations. Compared to individuals \u3c 55 years old and with a college degree, individuals ≥ 55 years old (ORrange=1.50–1.86) and with ≤ high school degree (ORrange=1.55–1.91) were more likely to report mental health needs (anxiety/depression; stress). African Americans were less likely to report physical health needs (hypertension/stroke; overweight/obesity) than individuals categorized as Another race/ethnicity (ORrange=0.38–0.60). Individuals with ≤ high school degree were more likely to report affordable healthcare as a need compared to individuals with some college or a college degree (ORrange=1.58). This research highlights the need for evaluators and planners to design programs that are comprehensive in their approach to addressing the health needs of congregations while also considering demographic variation that may impact program participation and engagement