Sample Size Calculation

Hassouna, Ahmed

doi:10.1007/978-3-031-20758-7_4

Cited by 9 publications

(9 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically a minimum of 30 data points is considered necessary to ensure statistical significance. 7 that age over the same period. For ELE calculation, this was calculated as the number of disposals at age x in the relevant period, divided by the number of active equipment at that age over the same period; e) The guide's special methodology for calculating infant (age 0-1years) mortality rate was omitted as the equipment disposal rates in the first year have been negligible (see Discussion for some exceptions); f ) Although human life tables are typically segregated into males and females, no such distinction was made for equipment; g) To limit the effects of low population anomalies, exclusion criteria were introduced to disqualify equipment types with insufficient or abnormal data.…”

Section: Methodsmentioning

confidence: 94%

“…While this choice certainly limited the ability to compare lifespans among brands or models, it helped to accumulate enough data for statistically significant analyses. 7 The choice of equipment types was based on a combination of past experience that suggests aging may have an effect on maintenance and the amount of data available. 1 For each piece of equipment that was disposed of, its age at disposal was calculated as the difference between the disposal year and its manufactured or acquisition year.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Medical Equipment Aging

Wang,

Rui,

Skinner

et al. 2024

J Clin Eng

View full text Add to dashboard Cite

As demonstrated in the first article of this series, some medical equipment types exhibit clear, progressive deterioration with age, whereas some others do not. Regardless of its aging behavior, equipment will eventually be replaced and disposed of for a variety of reasons—eg, its repair cost has become unjustifiable, it is no longer possible to repair, or its usefulness has been superseded by newer technologies. Although it is not possible to pinpoint the exact cause of each replacement or disposal, it is useful to understand when such action takes place during the equipment’s lifespan because this can help healthcare delivery organizations to better plan and conserve its capital resources while satisfying the needs and desires of their staff to provide safe and high-quality care. The results of an analysis of the disposal pattern of ~340 thousand pieces of equipment in the period of 30+ years show age is not the primary determinant for replacement or disposal. Most equipment is deployed well past the respective depreciation period and the end-of-life or end-of-support dates declared by their respective manufacturers, without significant negative impacts on patient care. In fact, the life expectancies estimated from the disposal data are typically double of American Hospital Association’s estimated useful lives. Such accomplishment is a testimony of the extraordinary efforts made by clinical engineering/healthcare technology management professionals in keeping equipment safe and reliable in the most cost-effective manner for a very long time.

show abstract

Section: Methodsmentioning

confidence: 94%

Section: Methodsmentioning

confidence: 99%

Medical Equipment Aging

Wang,

Rui,

Skinner

et al. 2024

J Clin Eng

View full text Add to dashboard Cite

show abstract

“…Inclusion criteria were all general practitioners working in Saudi Arabia while general practitioners who refused to participate in the study or with incomplete questionnaires were excluded from the study. The sample size was estimated with an online sample size calculator (Raosoft) using a margin of error of 5% and a confidence interval of 95%, assuming an average response for most of the questions of 50% and depending on an average number of general practitioners in Saudi Arabia which is 13453 according to Ministry of Health Statistical Yearbook 2021 [14]. The required sample for the study was 374 participants.…”

Section: Methodsmentioning

confidence: 99%

Assessment of the Current Knowledge and Practice of General Practitioners Towards Laryngopharyngeal Reflux in Saudi Arabia

Alrayah¹,

Alzahrani²,

Alghamdi³

et al. 2023

Cureus

View full text Add to dashboard Cite

BackgroundGeneral practitioners (GPs) have a significant role in the diagnosis of patients with laryngopharyngeal reflux (LPR). Some published data revealed a lack of knowledge among GPs about the disease, consequently, this lack of knowledge impacted their performance. This survey aims to assess the current knowledge and practice of general practitioners regarding laryngopharyngeal reflux in Saudi Arabia. MethodologyThis survey study was conducted to assess the current knowledge and practice of general practitioners regarding laryngopharyngeal reflux in Saudi Arabia using an online questionnaire. The questionnaire was distributed and collected from the

show abstract

“…The Raosoft sample size calculator was used to calculate a sample size of PHC facilities. (20) The calculation assumed a 5% margin of error, 95% con dence intervals, 58 PHC facilities and a response proportion of 50%. (21) This recommended a sample size of 51 PHC facilities.…”

Section: Sample Size Estimationmentioning

confidence: 99%

The quality of primary care services in public sector facilities in a Ugandan district: a cross-sectional descriptive study

Besigye,

Mash

2023

Preprint

View full text Add to dashboard Cite

Background In order to strengthen primary health care (PHC), there is a need to measure its performance. The World Health Organisation has published a measurement framework for PHC. This framework emphasised the core functions of primary care: access, continuity, coordination, comprehensiveness and person-centredness. This study aimed to measure the performance of primary care using the Primary Care Assessment Tool (PCAT) in one rural Ugandan district. Methods A cross-sectional survey of Tororo District administered the PCAT across a sample of 51/58 PHC facilities. There were four levels of health facilities (health centres II to general hospital). A random sample of at least 100 users was obtained from each level, and from all primary care providers and managers. Data was collected in REDCap software, and analysed in the Statistical Package for Social Sciences vs23. Results Only 35.1% of users had a strong affiliation with their PHC facility. The overall primary care score suggested that performance was acceptable to the majority of users (58.9% rating the performance at least acceptable). Ongoing care was rated by users as very poor (< 25% of people rating it at least acceptable). Comprehensiveness (services available) was rated as poor by users (≤ 50% finding it at least acceptable). Users rated first contact access and coordination (information systems) as acceptable (51–75% finding them at least acceptable). Person-centredness and comprehensiveness (services provided) were rated as good by users (> 75% rating them as acceptable or more). Providers and users differed significantly in their scoring across all domains, with providers usually more positive. Performance significantly improved as the PHC level increased, with the general hospital having the highest score. Conclusion The PCAT was able to identify the primary care functions that needed improving. The results will be used to co-design interventions to improve performance. The PCAT may be a useful tool to measure PHC performance across the region.

show abstract

Sample Size Calculation

Cited by 9 publications

References 54 publications

Medical Equipment Aging

Medical Equipment Aging

Assessment of the Current Knowledge and Practice of General Practitioners Towards Laryngopharyngeal Reflux in Saudi Arabia

The quality of primary care services in public sector facilities in a Ugandan district: a cross-sectional descriptive study

Contact Info

Product

Resources

About