Publications

BACKGROUND

In countries with a high burden of HIV, such as South Africa, where the epidemic remains the world's largest, improving early uptake of and consistent adherence to antiretroviral therapy could bring substantial HIV prevention gains. However, patients are not linked to or retained in care at rates needed to curtail the epidemic. Two strategies that have demonstrated a potential to stem losses along the HIV care cascade in the sub-Saharan African context are use of text messaging or short message service (SMS) and peer-navigation services.

METHODS/DESIGN

We designed a cluster randomized trial to assess the efficacy of an SMS intervention and a peer-navigation intervention to improve retention in care and treatment, timely linkage to care and treatment, medication adherence, and prevention behaviors in South Africa. Eighteen primary and community healthcare clinics in Rustenburg and Moses Kotane Sub-districts in the North West Province were randomized to one of three conditions: SMS intervention (n = 7), peer navigation intervention (n = 7), or standard of care (n = 4). Approximately 42 participants are being recruited at each clinic, which will result in a target of 750 participants. Eligible participants include patients accessing HIV testing or care in a study clinic, recently diagnosed with HIV, aged 18 years or older, and with access to a cellular telephone where they are willing to receive automated SMS with HIV-related messaging. Data collection includes extraction of visit information from clinical files and participant surveys at baseline, 6 months, and 12 months. Intent-to-treat (ITT) analysis will explore differences between randomization arms and the primary outcome of patient retention in care at 12 months following enrollment. We will also explore secondary outcomes including participants' a) timely linkage to care (within 3 months of HIV diagnosis), b) adherence to treatment based on self-report and clinic's medication dispensation dates, and c) condom-use behaviors.

DISCUSSION

The findings will allow us to compare the efficacy of two complementary interventions, one that requires fewer resources to implement (SMS) and one (peer navigation) that offers more flexibility in terms of the patient barriers to care that it can address.

TRIAL REGISTRATION

NCT02417233, registered 12 December 2014.

CONTEXT

Measuring What Matters (MWM) for palliative care has prioritized data collection efforts for evaluating quality in clinical practice. How these measures can be implemented across diverse clinical settings using point-of-care data collection on quality is unknown.

OBJECTIVES

To evaluate the implementation of MWM measures by exploring documentation of quality measure adherence across six diverse clinical settings inherent to palliative care practice.

METHODS

We deployed a point-of-care quality data collection system, the Quality Data Collection Tool, across five organizations within the Palliative Care Research Cooperative Group. Quality measures were recorded by clinicians or assistants near care delivery.

RESULTS

During the study period, 1989 first visits were included for analysis. Our population was mostly white, female, and with moderate performance status. About half of consultations were seen on hospital general floors. We observed a wide range of adherence. The lowest adherence involved comprehensive assessments during the first visit in hospitalized patients in the intensive care unit (2.71%); the highest adherence across all settings, with an implementation of >95%, involved documentation of management of moderate/severe pain. We observed differences in adherence across clinical settings especially with MWM Measure #2 (Screening for Physical Symptoms, range 45.7%-81.8%); MWM Measure #5 (Discussion of Emotional Needs, range 46.1%-96.1%); and MWM Measure #6 (Documentation of Spiritual/Religious Concerns, range 0-69.6%).

CONCLUSION

Variations in clinician documentation of adherence to MWM quality measures are seen across clinical settings. Additional studies are needed to better understand benchmarks and acceptable ranges for adherence tailored to various clinical settings.

Most of the global burden of chronic kidney disease (CKD) is occurring in low- and middle-income countries (LMICs). As a result of rapid urbanization in LMICs, a growing number of populations are exposed to numerous environmental toxins, high infectious disease burdens and increasing rates of noncommunicable diseases. For CKD, this portends a high prevalence related to numerous etiologies, and it presents unique challenges. A better understanding of the epidemiology of CKD in LMICs is urgently needed, but this must be coupled with strong public advocacy and broad, collaborative public health efforts that address environmental, communicable, and non-communicable risk factors.

BACKGROUND AND OBJECTIVE

Adverse working conditions contribute to obesity and physical inactivity. The purpose of this study was to examine the associations of occupational factors with obesity and leisure-time physical activity among nurses.

METHODS

This study used cross-sectional data of 394 nurses (mean age 48 years, 91% females, 61% white) randomly selected from the California Board of Registered Nursing list. Data on demographic and employment characteristics, musculoskeletal symptom comorbidity, physical and psychosocial occupational factors, body mass index (BMI), and physical activity were collected using postal and on-line surveys from January to July in 2013.

RESULTS

Of the participants, 31% were overweight and 18% were obese; 41% engaged in regular aerobic physical activity (≥ 150 min/week) and 57% performed regular muscle-strengthening activity (≥ 2 days/week). In multivariable logistic regression models, overweight/obesity (BMI ≥ 25 kg/m(2)) was significantly more common among nurse managers/supervisors (OR=2.54, 95% CI: 1.16-5.59) and nurses who worked full-time (OR=2.18, 95% CI: 1.29-3.70) or worked ≥ 40 h per week (OR=2.53, 95% CI: 1.58-4.05). Regular aerobic physical activity was significantly associated with high job demand (OR=1.63, 95% CI: 1.06-2.51). Nurses with passive jobs (low job demand combined with low job control) were significantly less likely to perform aerobic physical activity (OR=0.49, 95% CI: 0.26-0.93). Regular muscle-strengthening physical activity was significantly less common among nurses working on non-day shifts (OR=0.55, 95% CI: 0.34-0.89). Physical workload was not associated with obesity and physical activity.

CONCLUSIONS

Our study findings suggest that occupational factors significantly contribute to obesity and physical inactivity among nurses. Occupational characteristics in the work environment should be considered in designing effective workplace health promotion programs targeting physical activity and obesity among nurses.