Methods Of Sample Size Calculation In Retrospective Burden Of Illness Studies

Johnston, K.; Szabo, SM; Donato, B.M.K.; Bolzani, A

doi:10.1016/j.jval.2016.03.1727

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…2 persons conducted interviews. The sample size was determined using a single population proportion formula (17), referring to the prevalence of knowledge of at least 3 ODS of 45.9%, with 95% confidence level, 5% margin of error reported by a study conducted in Ethiopia (17) .…”

Section: Study Settingmentioning

confidence: 99%

Pregnant women’s knowledge of obstetrical danger signs: A cross-sectional survey in Kigali, Rwanda

Uwiringiyimana

Manirambona

Byiringiro³

et al. 2022

Preprint

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BACKGROUND : Maternal mortality remains critically high worldwide, particularly in sub-Saharan Africa. The leading causes of maternal death in Rwanda include postpartum hemorrhage and obstructed labor. Maternal recognition of obstetrical danger signs is critical for timely access to emergency care, in order to reduce maternal mortality . OBJECTIVE : To assess the knowledge of obstetrical danger signs among pregnant women attending antenatal care in Kigali, Rwanda. METHODS : A cross-sectional study was conducted between September and December 2018 at five health centers and one district hospital in Kigali, Rwanda. Pregnant women attending antenatal care (AN

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Section: Study Settingmentioning

confidence: 99%

Pregnant women’s knowledge of obstetrical danger signs: A cross-sectional survey in Kigali, Rwanda

Uwiringiyimana

Manirambona

Byiringiro³

et al. 2022

Preprint

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“…The study sample size was computed using the approach for unit costs proposed by Johnston et al Assuming a 95% confidence level and a standard deviation of 25% of the average cost estimate, 24 facilities were estimated as sufficient to give an estimate with a precision of ± 10%. 13 A standardised, stratified random sampling strategy shared across the countries participating in the Value-TB project was used to select the health facilities.…”

Section: Methodsmentioning

confidence: 99%

Cost of TB services in healthcare facilities in Kenya (No 3)

Kairu

Orangi

Oyando

et al. 2021

int j tuberc lung dis

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BACKGROUND: The reduction of Kenya´s TB burden requires improving resource allocation both to and within the National TB, Leprosy and Lung Disease Program (NTLD-P). We aimed to estimate the unit costs of TB services for budgeting by NTLD-P, and allocative efficiency analyses for future National Strategic Plan (NSP) costing.METHODS: We estimated costs of all TB interventions in a sample of 20 public and private health facilities from eight counties. We calculated national-level unit costs from a health provider´s perspective using bottom-up (BU) and top-down (TD) approaches for the financial year 2017–2018 using Microsoft Excel and STATA v16.RESULTS: The mean unit cost for passive case-finding (PCF) was respectively US$38 and US$60 using the BU and TD approaches. The unit BU and TD costs of a 6-month first-line treatment (FLT) course, including monitoring tests, was respectively US$135 and US$160, while those for adult drug-resistant TB (DR-TB) treatment was respectively US$3,230.28 and US$3,926.52 for the 9-month short regimen. Intervention costs highlighted variations between BU and TD approaches. Overall, TD costs were higher than BU, as these are able to capture more costs due to inefficiency (breaks/downtime/leave).CONCLUSION: The activity-based TB unit costs form a comprehensive cost database, and the costing process has built-in capacity within the NTLD-P and international TB research networks, which will inform future TB budgeting processes.

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“…Sample size calculations was demonstrated for burden of illness by characterizing precision around estimates of mean , using the following formula [9]:…”

Section: Methodsmentioning

confidence: 99%

Quality of Life of Diabetic Children in Public Diabetes Specialized Clinics, Khartoum State, Sudan

Elzaki¹,

Ali²,

Elkhidir³

et al. 2019

JAMMR

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Background: Quality of life assessment can be a good baseline measures to determine the efficacy of health policies that are designed to reduce or eradicate the detrimental disease effect. Aim: This study aimed at assessing the different dimensions of quality of life in children with diabetes including physical, social, emotional and school function. Methods: The study was conducted in Khartoum state - Sudan using a cross sectional design. Data was obtained in 2018 at three outpatient diabetes clinics, using systematic random sampling with sample size of 138 diabetic children aged between 2-18 years, via structured interviews. Descriptive and inferential statistics were used to analyze the data and test the relationship between quality of life and other independent variables: demography ( age, gender, parents’ education, age, residency and occupation), type of diabetes, type of treatment, duration of illness, control of diabetes and insurance status. Results: The mean age of children was 11.1±3.64 years. Most of them were females 63%. More than half of participants were not covered by any insurance scheme. Those with diabetes reported personal and adverse social effects, poor control; HA1C more than 6.5% in 90% of participants. Mean generic quality of life was 80.03 ± 27 and 80.84 ± 28 p-value =0.73 for parents and children respectively. Conclusion: Diabetes adversely affects the quality of life of diabetic children which is influenced by history of hospitalization. Further studies on Diabetes quality of life are recommended.

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Methods Of Sample Size Calculation In Retrospective Burden Of Illness Studies

Cited by 7 publications

References 1 publication

Pregnant women’s knowledge of obstetrical danger signs: A cross-sectional survey in Kigali, Rwanda

Pregnant women’s knowledge of obstetrical danger signs: A cross-sectional survey in Kigali, Rwanda

Cost of TB services in healthcare facilities in Kenya (No 3)

Quality of Life of Diabetic Children in Public Diabetes Specialized Clinics, Khartoum State, Sudan

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