Tasas específicas de mortalidad en el hospital de Algeciras durante el período 1995-1996

Ortega, Cesáreo García; Barrios, José Almenara; Ortega, José Javier García

doi:10.1590/s1135-57271997000300009

Cited by 7 publications

(3 citation statements)

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“…The later study showed that the leading causes of death were cardiovascular diseases (36.1%), followed by stroke and cerebrovascular disease (18.2%), accidental injuries (7.9%), cancers (7.7%) and renal diseases (7.2%). Even 16,17 in the two European hospitals cited earlier , there were some similarities in the leading causes of death with our center, where for instance, in the Nikaias Piraeus 16…”

Section: Discussionmentioning

confidence: 50%

Magnitude and leading causes of in-hospital mortality at Aminu Kano Teaching Hospital, Kano, northern Nigeria: A 4-year prospective analysis

Iliyasu¹,

Abubakar²,

Gajida³

2010

Nig. J. Med.

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Background: Population based mortality data are scarce especially in developing countries including Nigeria. Despite its limitations, hospital mortality analysis assesses the quality of health-care delivery and provides a proximate measure of mortality. We reviewed the magnitude and causes of death among in-patients in a tertiary hospital in northern Nigeria. Methods: Analysis of mortality rate and causes of death for the period 20052008 (inclusive) in Aminu Kano Teaching Hospital. Causes of death were prospectively entered on a database and classified according to the International Classification of Diseases (ICD-10).Results: Out of 51,975 patients admitted to the hospital, 4,029 of them died. This gives a mortality rate of 7.8% (95% Confidence Interval of 7.5% to 8.0%). Specifically, of the 15,484 males admitted, 2,361 died giving a mortality rate of 15.2% while of the 36,491 females admitted, 1,668 died giving a mortality rate of 4.6%. The median age for all patients that died was 32.4 years (range: less than 1 day to 101 years), but 36.1 years (range: less than 1 day to 101 years) for the male and 29.3 (range: less than 1 day to 87 years) for the female subsets. The ten most common causes of mortality were HIV/AIDS (8.3%), Septicaemia (6.8%), cerebrovascular disease (6.3%), chronic renal failure (3.9%) chronic liver disease (3.3%), diabetes mellitus (3.2), neonatal jaundice (2.9%), severe birth asphyxia (2.6%), prematurity (2.5%) and bronchopneumonia (2.4%). Conclusion:The mortality rate and causes of death are comparable to similar centres. Regular mortality audits could identify management errors and prevent recurrence of avoidable deaths.

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Section: Discussionmentioning

confidence: 50%

Magnitude and leading causes of in-hospital mortality at Aminu Kano Teaching Hospital, Kano, northern Nigeria: A 4-year prospective analysis

Iliyasu¹,

Abubakar²,

Gajida³

2010

Nig. J. Med.

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“…et al . [ 7 ] in a Spanish specialty hospital based on 24,194 episodes of hospitalization. These annual percentages are greater than the estimated 2% of hospital discharges per year due to death considering all Mexican SSA hospitals [ 3 ] and are also higher than the Mexican rate published in the journal Salud Pública de México in 1999 [ 2 ], which reported that 2.62% (35,891/1,469,161) of hospital discharges were due to death each year at the national level and 1.93% at the state level (Guanajuato, where the HRAEB is located) for 1999.…”

Section: Discussionmentioning

confidence: 99%

“…Since 1986, the Health Care Financing Administration has incorporated the hospital mortality rate as a qualitative comparator of American hospitals, which has encouraged the use of hospital care outcome indicators across the world [ 6 ]. Hospital mortality is one of the most frequently used indicators of quality of care [ 7 ], and the quantification of deaths can be considered a measure of the effectiveness of hospital intervention, although it should not be forgotten that this indicator is influenced by other factors, such as the pathology being treated, population structure and accessibility to the hospital unit [ 8 ]. A high percentage of hospital discharges due to death can be associated with deficiencies in the quality of hospital care [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Trends, structural changes, and assessment of time series models for forecasting hospital discharge due to death at a Mexican tertiary care hospital

et al. 2021

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Background Data on hospital discharges can be used as a valuable instrument for hospital planning and management. The quantification of deaths can be considered a measure of the effectiveness of hospital intervention, and a high percentage of hospital discharges due to death can be associated with deficiencies in the quality of hospital care. Objective To determine the overall percentage of hospital discharges due to death in a Mexican tertiary care hospital from its opening, to describe the characteristics of the time series generated from the monthly percentage of hospital discharges due to death and to make and evaluate predictions. Methods This was a retrospective study involving the medical records of 81,083 patients who were discharged from a tertiary care hospital from April 2007 to December 2019 (first 153 months of operation). The records of the first 129 months (April 2007 to December 2017) were used for the analysis and construction of the models (training dataset). In addition, the records of the last 24 months (January 2018 to December 2019) were used to evaluate the predictions made (test dataset). Structural change was identified (Chow test), ARIMA models were adjusted, predictions were estimated with and without considering the structural change, and predictions were evaluated using error indices (MAE, RMSE, MAPE, and MASE). Results The total percentage of discharges due to death was 3.41%. A structural change was observed in the time series (March 2009, p>0.001), and ARIMA(0,0,0)(1,1,2)12 with drift models were adjusted with and without consideration of the structural change. The error metrics favored the model that did not consider the structural change (MAE = 0.63, RMSE = 0.81, MAPE = 25.89%, and MASE = 0.65). Conclusion Our study suggests that the ARIMA models are an adequate tool for future monitoring of the monthly percentage of hospital discharges due to death, allowing us to detect observations that depart from the described trend and identify future structural changes.

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Mortalidad innecesariamente prematura y sanitariamente evitable hospitalaria de la provincia de Cádiz

García-Ortega

Barrios

Torre

et al. 2001

Revista de Calidad Asistencial

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Tasas específicas de mortalidad en el hospital de Algeciras durante el período 1995-1996

Cited by 7 publications

References 0 publications

Magnitude and leading causes of in-hospital mortality at Aminu Kano Teaching Hospital, Kano, northern Nigeria: A 4-year prospective analysis

Magnitude and leading causes of in-hospital mortality at Aminu Kano Teaching Hospital, Kano, northern Nigeria: A 4-year prospective analysis

Trends, structural changes, and assessment of time series models for forecasting hospital discharge due to death at a Mexican tertiary care hospital

Mortalidad innecesariamente prematura y sanitariamente evitable hospitalaria de la provincia de Cádiz

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