Literature DB >> 7636917

Analysis of hospital records in four African countries, 1975-1990, with emphasis on infectious diseases.

P L Petit1, J K van Ginneken.   

Abstract

Detailed standardized annual reports are analysed for 17 rural hospitals in four African countries, with admission figures of 1.2 million patients (excluding deliveries) and more than 67,000 deaths over a period of 16 years. The countries involved are Zambia, Tanzania, Kenya and Ghana. Figures on admission, causes of death and clinical case fatality rates are presented per country and per 4-year calendar period for the most important infectious diseases. The number of admissions increased substantially in 3 of the 4 countries (50-77%) between 1976 and 1990, but admission rates (per 1,000 population per year) by much less (6-25%), indicating that a large part of the increase in the volume of services was due to population growth. The number of infectious disease admissions in Ghana, however, decreased by 12% and even more in terms of admission rates (by 42%). About 75% of all admissions in children below 15 years of age were due to infections and infection related diseases; for adults this figure was 31%. Malaria is the single most important infectious disease both in terms of admissions and as a cause of death; it has increased substantially in three of the four countries. Bacterial infections, in particular pneumonia, gastroenteritis, meningitis and tuberculosis, are also important diseases in terms of admissions and deaths. On the whole they have remained at more or less the same level in 1975-1990 in terms of both admissions and deaths. Immunizable diseases and measles, once important as causes of admissions and deaths, have declined in all countries. Case fatality rates vary substantially by type of disease. They are very high for tetanus (36.7-68.8%) and meningitis (14.7-43%), and low for malaria (0.6-4.6%). However, they vary considerably in the four countries included in the study and are usually lower in children than in adults. A need for detailed studies with good "standardized" hospital records is emphasized. Representative data are needed from all hospitals in a given catchment area, with defined diagnoses for diseases and details regarding age and sex. This kind of information is highly desirable for planning and operation of curative and preventive medical care in developing countries.

Entities:  

Keywords:  Africa; Africa South Of The Sahara; Case Fatality Rate; Death Rate; Delivery Of Health Care; Demographic Factors; Developing Countries; Diseases; Eastern Africa; English Speaking Africa; Ghana; Health; Health Facilities; Hospitals; Infections; Information; Information Processing; Kenya; Malaria; Mortality; Organization And Administration; Parasitic Diseases; Planning; Population; Population Dynamics; Records; Research Report; Tanzania; Western Africa; Zambia

Mesh:

Year:  1995        PMID: 7636917

Source DB:  PubMed          Journal:  J Trop Med Hyg        ISSN: 0022-5304


  20 in total

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Authors:  S P Fiorillo; H C Diefenthal; P C Goodman; H O Ramadhani; B N Njau; A B Morrissey; V P Maro; W Saganda; G D Kinabo; M S Mwako; J A Bartlett; J A Crump
Journal:  Clin Radiol       Date:  2013-06-26       Impact factor: 2.350

2.  Causes and outcome of young infant admissions to a Kenyan district hospital.

Authors:  M English; M Ngama; C Musumba; B Wamola; J Bwika; S Mohammed; M Ahmed; S Mwarumba; B Ouma; K McHugh; C Newton
Journal:  Arch Dis Child       Date:  2003-05       Impact factor: 3.791

Review 3.  Community-acquired bloodstream infections in Africa: a systematic review and meta-analysis.

Authors:  Elizabeth A Reddy; Andrea V Shaw; John A Crump
Journal:  Lancet Infect Dis       Date:  2010-06       Impact factor: 25.071

4.  Invasive bacterial and fungal infections among hospitalized HIV-infected and HIV-uninfected children and infants in northern Tanzania.

Authors:  John A Crump; Habib O Ramadhani; Anne B Morrissey; Levina J Msuya; Lan-Yan Yang; Shein-Chung Chow; Susan C Morpeth; Hugh Reyburn; Boniface N Njau; Andrea V Shaw; Helmut C Diefenthal; John A Bartlett; John F Shao; Werner Schimana; Coleen K Cunningham; Grace D Kinabo
Journal:  Trop Med Int Health       Date:  2011-04-07       Impact factor: 2.622

Review 5.  Cardiovascular disease in Africa: epidemiological profile and challenges.

Authors:  Ashley K Keates; Ana O Mocumbi; Mpiko Ntsekhe; Karen Sliwa; Simon Stewart
Journal:  Nat Rev Cardiol       Date:  2017-02-23       Impact factor: 32.419

6.  Malaria prevention reduces in-hospital mortality among severely ill tuberculosis patients: a three-step intervention in Bissau, Guinea-Bissau.

Authors:  Raffaella Colombatti; Martina Penazzato; Federica Bassani; Cesaltina Silva Vieira; Antonia Araujo Lourenço; Fina Vieira; Simone Teso; Carlo Giaquinto; Fabio Riccardi
Journal:  BMC Infect Dis       Date:  2011-03-02       Impact factor: 3.090

Review 7.  Management of adolescents and adults with febrile illness in resource limited areas.

Authors:  John A Crump; Sandy Gove; Christopher M Parry
Journal:  BMJ       Date:  2011-08-08

8.  Invasive bacterial and fungal infections among hospitalized HIV-infected and HIV-uninfected adults and adolescents in northern Tanzania.

Authors:  John A Crump; Habib O Ramadhani; Anne B Morrissey; Wilbrod Saganda; Mtumwa S Mwako; Lan-Yan Yang; Shein-Chung Chow; Susan C Morpeth; Hugh Reyburn; Boniface N Njau; Andrea V Shaw; Helmut C Diefenthal; John F Shao; John A Bartlett; Venance P Maro
Journal:  Clin Infect Dis       Date:  2011-02-01       Impact factor: 20.999

9.  Characteristics and outcome of cardiopulmonary resuscitation in hospitalised African children.

Authors:  A Olotu; M Ndiritu; M Ismael; S Mohammed; S Mithwani; K Maitland; C R J C Newton
Journal:  Resuscitation       Date:  2008-11-14       Impact factor: 5.262

10.  Predicting Mortality for Adolescent and Adult Patients with Fever in Resource-Limited Settings.

Authors:  Manuela Carugati; Helen L Zhang; Kajiru G Kilonzo; Michael J Maze; Venance P Maro; Matthew P Rubach; John A Crump
Journal:  Am J Trop Med Hyg       Date:  2018-11       Impact factor: 2.345

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