Dataset Information

Evaluation of a nurse practitioner-physician task-sharing model for multidrug-resistant tuberculosis in South Africa.

ABSTRACT: Treatment success rates for multidrug-resistant tuberculosis (MDR-TB) in South Africa remain close to 50%. Lack of access to timely, decentralized care is a contributing factor. We evaluated MDR-TB treatment outcomes from a clinical cohort with task-sharing between a clinical nurse practitioner (CNP) and a medical officer (MO).We completed a retrospective evaluation of outcomes from a prospective, programmatically-based MDR-TB cohort who were enrolled and received care between 2012 and 2015 at a peri-urban hospital in KwaZulu-Natal, South Africa. Treatment was provided by either by a CNP or MO.The cohort included 197 participants with a median age of 33 years, 51% female, and 74% co-infected with HIV. The CNP initiated 123 participants on treatment. Overall MDR-TB treatment success rate in this cohort was 57.9%, significantly higher than the South African national average of 45% in 2012 (p<0·0001) and similar to the provincal average of 60% (p = NS). There were no significant differences by provider type: treatment success was 61% for patients initiated by the CNP and 52.7% for those initiated by the MO.Clinics that adopted a task sharing approach for MDR-TB demonstrated greater treatment success rates than the national average. Task-sharing between the CNP and MO did not adversely impact treatment outcome with similar success rates noted. Task-sharing is a feasible option for South Africa to support decentralization without compromising patient outcomes. Models that allow sharing of responsibility for MDR-TB may optimize the use of human resources and improve access to care.

SUBMITTER: Farley JE

PROVIDER: S-EPMC5544244 | biostudies-other | 2017

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:The delivery of emergency, trauma, critical, and intensive care services requires coordination among all members of the care team. Perceived teamwork and role clarity may vary among physicians (MDs) and nurse practitioners (NPs). PURPOSE:To examine differences in perceived roles and responsibilities of NPs and MDs practicing in emergency, trauma, critical, and intensive care. METHODS:Secondary Analysis of the National Survey of Emergency, Intensive, and Critical Care Nurse Practitioners and Physicians, a cross-sectional national survey of clinicians. Mail survey of randomly selected stratified cross-sectional samples of MDs and NPs drawn from national lists of clinicians in eligible specialties working in emergency, trauma, intensive, and critical care units in the United States. 814 clinicians (351 NPs and 463 MDs) were recruited from national by postal mail survey. Our initial sample included n = 2,063 clinicians, n = 1,031 NPs and n = 1,032 MDs in eligible specialties. Of these, 63.5% of NPs and 70.1% of MDs completed and returned the survey excluding those who were ineligible due to lack of current practice in a relevant specialty. FINDINGS:NPs in ICU/CCU are more likely to be female and report working fewer hours than do MDs and provide direct care to more patients. 55% of NPs and 82% of MDs agree that their individual role in their unit is clear (p < .001); 34% of MDs and 42% of NPs agree that their unit is an example of excellent team work among professionals (p = 0.021); 41% of MD and 37% of NP clinicians (p = 0.061) agree that their teams are "prepared to provide outstanding care in a crisis or disaster." Perceived role clarity was significantly associated with increased perceptions of excellent teamwork and disaster preparedness. DISCUSSION:At the time of this survey, and majority of NPs and MDs working in emergency, critical and intensive care did not agree that their teams were prepared for a crisis or disaster. Leaders of health organizations should encourage teamwork and professional role clarity to assist units to perform effectively in emergency and disaster preparedness.

Dataset Information

Evaluation of a nurse practitioner-physician task-sharing model for multidrug-resistant tuberculosis in South Africa.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets