Publications

Abstract

Male sex workers (MSWs) in Vietnam are at high risk for acquisition and transmission of human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs), yet are extremely disengaged from the healthcare system. This contributes to large numbers of untreated or late-treated infections and increased secondary transmission. We enrolled 995 MSWs in Hanoi and Ho Chi Minh City (HCMC) in a Sexual Health Promotion intervention that included face-to-face delivery of seven content modules, a clinical examination and testing for HIV, syphilis, gonorrhea and Chlamydia. Onsite treatment was provided for STIs, and those who tested positive for HIV were referred to local treatment centers. While 64.6% of participants had never been to a health service and fewer than half (41.2%) had ever been tested for HIV, 67.1% returned for test results. This testing identified 109 (11.0%) participants who were HIV-positive and 312 (31.4%) who tested positive for at least one other STI. Substantive differences were seen in MSWs from different cities, with those from Hanoi more likely to have ever visited a health service (57.8% vs. 24.9%) and to have taken a prior HIV test (54.1% vs. 37.9%) than those in HCMC. Sexual health promotion is a promising approach to engaging MSWs in health services.

Abstract

Promoting HIV testing is an important strategy to end the HIV epidemic. HIV incidence among men who have sex with men (MSM) has increased rapidly in China in recent years, but HIV testing rates are still low. Our cross-sectional study investigated HIV testing rates and analyzed associated factors in 565 MSM in Changsha between April and December 2014. In the previous year, 37.7% of participants had not been tested, 38.2% had had one test, and 24.1% had had two or more tests. Those who initiated sexual debut at an older age, had known someone infected with HIV, or had been diagnosed with a sexually transmitted illness (STI) were more likely to have had an HIV test. HIV intervention programs in China should focus on sexually active young MSM, integrate HIV testing and counseling services in STI clinics, and describe real experiences of living with HIV to improve HIV testing in MSM.

Abstract

BACKGROUND: In Israel, palliative care (PC) services are limited. This study assessed Israeli nurses' perceived competencies and educational needs in providing PC.DESIGN: Online administration of the End-of-Life Professional Caregiver Survey (EPCS).SETTING/SUBJECTS: Oncology and PC nurses were identified through the Israel Ministry of Health and Oncology Nurses' Society.MEASUREMENTS: Demographic and practice data were analysed using analysis of variance tests to determine differences between nurse characteristics by EPCS domains.RESULTS: The sample (n=105) was 94% female, had a mean age of 48 years (SD=10.5) and 83% were Jewish Israeli. Thirty-nine percent reported PC training in nursing school and 42% felt their workplace provided little to no PC education and resources to nurses. Those with advanced degrees and those who received post-graduate PC training had higher mean scores across EPCS domains (p<0.05 for all).CONCLUSIONS: Nursing education and workplace support in PC for Israeli nurses are limited. It is hoped that these findings may inform future PC nursing education and policy in Israel.

Abstract

Background: This article reports on the first implementation of an online opioid-overdose prevention, recognition and response training for laypeople. The training was disseminated nationally in November 2014. Between 2000 and 2014, U.S. opioid deaths increased by 200%. The importance of complementary approaches to reduce opioid overdose deaths, such as online training, cannot be overstated. Objectives: A retrospective evaluation was conducted to assess perceived knowledge, skills to intervene in an overdose, confidence to intervene, and satisfaction with the training. Measurements: Descriptive statistics were used to report sample characteristics, compare experiences with overdose and/or naloxone between subgroups, and describe participants’ satisfaction with the trainings. Z-ratios were used to compare independent proportions, and paired t-tests were used to compare participant responses to items pre- and posttraining, including perceived confidence to intervene and perceived knowledge and skills to intervene successfully. Results: Between January and October 2015, 2,450 laypeople took the online training; 1,464 (59.8%) agreed to be contacted. Of these, 311 (21.2% of those contacted) completed the survey. Over 80% reported high satisfaction with content, format and mode of delivery and high satisfaction with items related to confidence and overdose reversal preparedness. Notably, 89.0% of participants felt they had the knowledge and skills to intervene successfully posttraining compared to 20.3% pretraining (z = −17.2, p <.001). Similarly, posttraining, 87.8% of participants felt confident they could successfully intervene compared to 24.4% pretraining (z = −15.9, p <.001). Conclusions: This study demonstrates the effectiveness of the GetNaloxoneNow.org online training for laypeople.

Abstract

Objective: To evaluate the association between early metabolic profiles combined with infant characteristics and survival past 7 days of age in infants born at 22-25 weeks of gestation. Study design: This nested case-control consisted of 465 singleton live births in California from 2005 to 2011 at 22-25 weeks of gestation. All infants had newborn metabolic screening data available. Data included linked birth certificate and mother and infant hospital discharge records. Mortality was derived from linked death certificates and death discharge information. Each death within 7 days was matched to 4 surviving controls by gestational age and birth weight z score category, leaving 93 cases and 372 controls. The association between explanatory variables and 7-day survival was modeled via stepwise logistic regression. Infant characteristics, 42 metabolites, and 12 metabolite ratios were considered for model inclusion. Model performance was assessed via area under the curve. Results: The final model included 1 characteristic and 11 metabolites. The model demonstrated a strong association between metabolic patterns and infant survival (area under the curve [AUC] 0.885, 95% CI 0.851-0.920). Furthermore, a model with just the selected metabolites performed better (AUC 0.879, 95% CI 0.841-0.916) than a model with multiple clinical characteristics (AUC 0.685, 95% CI 0.627-0.742). Conclusions: Use of metabolomics significantly strengthens the association with 7-day survival in infants born extremely premature. Physicians may be able to use metabolic profiles at birth to refine mortality risks and inform postnatal counseling for infants born at <26 weeks of gestation.

Abstract

Objective: To describe the integration of family caregivers into palliative oncology care using the Self- and Family Management Framework. Data Sources: Peer-reviewed journal articles. Conclusion: The role of family caregivers in palliative oncology includes focusing on illness needs, activating resources, and living with cancer. Several factors may serve as facilitators of or barriers to these activities. A growing number of interventions support family caregivers’ involvement in palliative oncology care. Implications for Nursing Practice: Nurses should identify who the family caregiver is, confirm ability and willingness, discuss patients’ and family caregivers’ goals for cancer care, activate resources, and promote ongoing communication to support changing needs.

Abstract

Background and purpose: Nurse practitioners (NPs) are a significant segment of the US primary care workforce and have a pivotal role in improving access to oral health (OH) care. The purpose of this research was to assess OH curricular integration in primary care NP programs and to examine factors that influence integration and satisfaction with graduates’ level of OH competence. Methods: A cross-sectional, national survey of NP programs (N = 466) was conducted using an electronically distributed 19-item, self-administered questionnaire. Data analysis included univariate, bivariate, multivariate statistics, and logistic regression modeling. Conclusions: The large majority of pediatric, family, and adult–gerontology primary care programs are educating NP graduates about OH. Significant factors promoting integration and satisfaction with graduates’ level of competence included the presence of a faculty champion and routine teaching by a dental professional or nondental OH expert. Implications for practice: With adequate OH education, NPs are ideally positioned to integrate OH and primary care services in practice, thereby, improving access to OH care.

Abstract

Background: Collaboration among healthcare providers has been considered a promising strategy for improving care quality and patient outcomes. Despite mounting evidence demonstrating the impact of collaboration on outcomes of healthcare providers, there is little empirical evidence on the relationship between collaboration and patient safety outcomes, particularly at the patient care unit level. Objectives: The purpose of this study is to identify the extent to which interdisciplinary collaboration between nurses and physicians and intradisciplinary collaboration among nurses on patient care units are associated with patient safety outcomes. Methods: This is a cross-sectional study using nurse survey data and patient safety indicators data from U.S. acute care hospital units. Collaboration at the unit level was measured by two 6-item scales: nurse-nurse interaction scale and nurse-physician interaction scale. Patient outcome measures included hospital-acquired pressure ulcers (HAPUs) and patient falls. The unit of analysis was the patient care unit, and the final sample included 900 units of 5 adult unit types in 160 hospitals in the U.S. Multilevel logistic and Poisson regressions were used to estimate the relationship between collaboration and patient outcomes. All models were controlled for hospital and unit characteristics, and clustering of units within hospitals was considered. Results: On average, units had 26 patients with HAPUs per 1000 patients and 3 patient falls per 1000 patient days. Critical care units had the highest HAPU rate (50/1000 patients) and the lowest fall rate (1/1000 patient days). A one-unit increase in the nurse-nurse interaction scale score led to 31% decrease in the odds of having a HAPU (OR, 0.69; 95% CI, 0.56–0.82) and 8% lower patient fall rate (IRR, 0.92; 95% CI, 0.87–0.98) on a nursing unit. A one-unit increase in the nurse-physician interaction scale score was associated with 19% decrease in the odds of having a HAPU (OR, 0.81; 95% CI, 0.68–0.97) and 13% lower fall rates (IRR, 0.87; 95% CI, 0.82–0.93) on a unit. Conclusions: Both nurse-physician collaboration and nurse-nurse collaboration were significantly associated with patient safety outcomes. Findings from this study suggest that improving collaboration among healthcare providers should be considered as an important strategy for promoting patient safety and both interdisciplinary and intradisciplinary collaboration are critical for achieving better patient outcomes.

Abstract

Background: In the digital era when mHealth has emerged as an important venue for health care, the application of computer science, such as machine learning, has proven to be a powerful tool for health care in detecting or predicting various medical conditions by providing improved accuracy over conventional statistical or expert-based systems. Symptoms are often indicators for abnormal changes in body functioning due to illness or side effects from medical treatment. Real-time symptom report refers to the report of symptoms that patients are experiencing at the time of reporting. The use of machine learning integrating real-time patient-centered symptom report and real-time clinical analytics to develop real-time precision prediction may improve early detection of lymphedema and long term clinical decision support for breast cancer survivors who face lifelong risk of lymphedema. Lymphedema, which is associated with more than 20 distressing symptoms, is one of the most distressing and dreaded late adverse effects from breast cancer treatment. Currently there is no cure for lymphedema, but early detection can help patients to receive timely intervention to effectively manage lymphedema. Because lymphedema can occur immediately after cancer surgery or as late as 20 years after surgery, real-time detection of lymphedema using machine learning is paramount to achieve timely detection that can reduce the risk of lymphedema progression to chronic or severe stages. This study appraised the accuracy, sensitivity, and specificity to detect lymphedema status using machine learning algorithms based on real-time symptom report.Methods: A web-based study was conducted to collect patients' real-time report of symptoms using a mHealth system. Data regarding demographic and clinical information, lymphedema status, and symptom features were collected. A total of 355 patients from 45 states in the US completed the study. Statistical and machine learning procedures were performed for data analysis. The performance of five renowned classification algorithms of machine learning were compared: Decision Tree of C4.5, Decision Tree of C5.0, gradient boosting model (GBM), artificial neural network (ANN), and support vector machine (SVM). Each classification algorithm has certain user-definable hyper parameters. Five-fold cross validation was used to optimize these hyper parameters and to choose the parameters that led to the highest average cross validation accuracy.Results: Using machine leaning procedures comparing different algorithms is feasible. The ANN achieved the best performance for detecting lymphedema with accuracy of 93.75%, sensitivity of 95.65%, and specificity of 91.03%.Conclusions: A well-trained ANN classifier using real-time symptom report can provide highly accurate detection of lymphedema. Such detection accuracy is significantly higher than that achievable by current and often used clinical methods such as bio-impedance analysis. Use of a well-trained classification algorithm to detect lymphedema based on symptom features is a highly promising tool that may improve lymphedema outcomes.

Abstract

Objectives: The objectives of this research were to describe the interactions (formal and informal), in which macrocognitive functions occur and their location on a pediatric intensive care unit, to describe challenges and facilitators of macrocognition using space syntax constructs (openness, connectivity, and visibility), and to analyze the healthcare built environment (HCBE) using those constructs to explicate influences on macrocognition. Background: In high reliability, complex industries, macrocognition is an approach to develop new knowledge among interprofessional team members. Although macrocognitive functions have been analyzed in multiple healthcare settings, the effect of the HCBE on those functions has not been directly studied. The theoretical framework, “macrocognition in the healthcare built environment” (mHCBE) addresses this relationship. Method: A focused ethnographic study was conducted including observation and focus groups. Architectural drawing files used to create distance matrices and isovist field view analyses were compared to panoramic photographs and ethnographic data. Results: Neighborhoods comprised of corner configurations with maximized visibility enhanced team interactions as well as observation of patients, offering the greatest opportunity for informal situated macrocognitive interactions (SMIs). Conclusions: Results from this study support the intricate link between macrocognitive interactions and space syntax constructs within the HCBE. These findings help increase understanding of how use of the framework of Macrocognition in the HCBE can improve design and support adaptation of interprofessional team practices, maximizing macrocognitive interaction opportunities for patient, family, and team safety and quality.

Abstract

Maternal lipid profiles during pregnancy are associated with risk for preterm birth. This study investigates the association between maternal dyslipidemia and subsequent preterm birth among pregnant women in the state of California. Births were identified from California birth certificate and hospital discharge records from 2007–2012 (N = 2,865,987). Preterm birth was defined as <37 weeks completed gestation and dyslipidemia was defined by diagnostic codes. Subtypes of preterm birth were classified as preterm premature rupture of membranes (PPROM), spontaneous labor, and medically indicated, according to birth certificate data and diagnostic codes. The association between dyslipidemia and preterm birth was tested with logistic regression. Models were adjusted for maternal age at delivery, race/ethnicity, hypertension, pre-pregnancy body mass index, insurance type, and education. Maternal dyslipidemia was significantly associated with increased odds of preterm birth (adjusted OR: 1.49, 95%CI: 1.39, 1.59). This finding was consistent across all subtypes of preterm birth, including PPROM (adjusted OR: 1.54, 95%CI: 1.34, 1.76), spontaneous (adjusted OR: 1.51, 95%CI: 1.39, 1.65), and medically indicated (adjusted OR: 1.454, 95% CI: 1.282, 1.649). This study suggests that maternal dyslipidemia is associated with increased risk for all types of preterm birth.

Abstract

Medication literacy is the ability of individuals to access and understand medication information and then use that information to act and take their medication in a safe and appropriate way. The purpose of this study was to explore medication literacy in a group of Somali older adults and their families using qualitative secondary analysis. We conducted an analytic expansion of an existing qualitative study that explored the home healthcare perceptions of Somali older adults and their families. Qualitative data collected from 14 Somali families about home healthcare were reviewed and analyzed for material related to medication literacy. Data analysis revealed a number of important findings related to medication literacy and resulted in the discovery of four themes: Medication literacy is needed among Somali older adults and their families, Using home healthcare (HHC) to improve medication literacy, Better communication is essential to improving medication literacy, and Medication literacy is an intersecting family and social issue. The results of this study indicate that HHC has a role to play in improving the health and medication literacy of these families. They also highlight the need to further explore what techniques, tools, and/or supports HHC professionals need to care for non-English speaking populations. Future research needs to address how to meet the needs of diverse and vulnerable patients like Somali older adults, and how best to prepare HHC providers to do this.