Confidence Intervals and Sample-size Calculations for the Sisterhood Method of Estimating Maternal Mortality

1996 ◽  
Vol 27 (4) ◽  
pp. 220 ◽  
Author(s):  
James A. Hanley ◽  
Catherine A. Hagen ◽  
Tesfaye Shiferaw
Keyword(s):  
Maternal Mortality ◽  
Sample Size ◽  
Confidence Intervals ◽  
Sisterhood Method ◽  
Sample Size Calculations

scholarly journals Baseline Data on Trend of Maternal Mortality in Tanzania using Administrative Data and its Policy Implication. 2018 Report

2020 ◽  
pp. 5-12 ◽  
Author(s):  
Dr. Ahmad Mohamed Makuwani ◽  
Dr. Phineas Ferdinand Sospeter ◽  
Dr. Leonard Subi ◽  
Dr. Mukome Anthony Nyamhagatta ◽  
Dr. Ntuli Kapologwe ◽  
...  
Keyword(s):  
Developing Countries ◽  
Maternal Mortality ◽  
Confidence Intervals ◽  
Disease Surveillance ◽  
Vital Statistics ◽  
Maternal Deaths ◽  
Civil Registration ◽  
The Past ◽  
Sisterhood Method ◽  
Surveillance And Response

Background: Globally, Civil Registration, and Vital Statistics is the recommended method to track births and deaths. This system is weak in developing countries, including Tanzania. Other systems that may be used to report deaths, especially maternal mortality include integrated Disease Surveillance and Response (IDSR) and DHIS 2. Tanzania has been using Demographic and Health Survey to track maternal deaths from as early as 2000. This study uses a sisterhood method which is conducted every five years, tracking events of the past ten years. It collects maternal deaths related from sisters of the same mother from sampled 10,000 households out of 11,000,000 available in Tanzania. The methodology uses wide confidence intervals, which affect its reliability. Therefore, the presented data is the outcome of tracking maternal deaths data using routine system from health facilities and communities in Tanzania Mainland.

scholarly journals Virtual reality-based relaxation for enhancement of perioperative well-being and quality of life: protocol for a randomised pilot trial

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e044193
Author(s):  
Matthias Christian Schrempf ◽  
Julian Quirin Petzold ◽  
Hugo Vachon ◽  
Morten Aagaard Petersen ◽  
Johanna Gutschon ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Virtual Reality ◽  
Sample Size ◽  
Stress Reduction ◽  
Pilot Trial ◽  
Well Being ◽  
Coping Resources ◽  
Patients With Cancer ◽  
Sample Size Calculations

IntroductionPatients with cancer undergoing surgery often suffer from reduced quality of life and various forms of distress. Untreated distress can negatively affect coping resources as well as surgical and oncological outcomes. A virtual reality-based stress reduction intervention may increase quality of life and well-being and reduce distress in the perioperative phase for patients with cancer. This pilot trial aims to explore the feasibility of the proposed intervention, assess patient acceptability and obtain estimates of effect to provide data for sample size calculations.Methods and analysisPatients with colorectal cancer and liver metastasis undergoing elective surgery will be recruited for this single-centre, randomised pilot trial with a three-arm design. A total of 54 participants will be randomised at 1:1:1 ratio to one of two intervention groups or a control receiving standard treatment. Those randomised to an intervention group will either receive perioperative virtual reality-based stress reduction exercises twice daily or listen to classical music twice daily. Primary feasibility outcomes are number and proportions of participants recruited, screened, consented and randomised. Furthermore, adherence to the intervention, compliance with the completion of the quality of life questionnaires and feasibility of implementing the trial procedures will be assessed. Secondary clinical outcomes are measurements of the effectiveness of the interventions to inform sample size calculations.Ethics and disseminationThe study protocol, the patient information and the informed consent form have been approved by the ethics committee of the Ludwigs-Maximilians-University, Munich, Germany (Reference Number: 19–915). Study findings will be submitted for publication in peer-reviewed journals.Trial registration numberDRKS00020909.

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