Sentence examples for morbidity was based from inspiring English sources

The analysis of morbidity was based on a list of 46 defined diagnosis groups of chronic diseases (see below) based on ICD-10 (International Statistical Classification of Diseases and Related Health Problems, 10th Revision) codes.

The analysis of morbidity was based on a list of 46 defined diagnosis groups of chronic diseases (see below) derived from ICD-10 codes.

The estimation of morbidity was based upon individual treatment by the producer, assuming that treatment rates accurately reflected illness and that increased treatment rates indicated a higher degree of morbidity at that time [ 10, 33].

Determination of morbidity was based upon readmission to hospital within a 12 month time period following birth for a surgical procedure falling within four categories: 1. Vaginal repair, 2. Fistula repair, 3. Faecal and urinary incontinence repair, and 4. Rectal/anal repair.

The estimate of the incidence of severe maternal morbidity was based on findings of Waterstone et al. [ 26], who found that 1.2% of women in their sample from the South East Thames region of England experienced severe maternal morbidity (defined as eclampsia, severe pre­eclampsia, HELLP syndrome, severe haemorrhage, severe sepsis, and uterine rupture).

Categories of cause of morbidity were based on those listed in the HMIS data and these were: malaria, acute respiratory infection, pneumonia, eye infection, ear infection, skin infections, urinary tract infection and 'other' (other is a mean cost of all other treatment groups).

The evidence linking ephedrine to cardiovascular morbidity is based mainly on spontaneous reporting.

All national and local statistics on sickness absence morbidity are based on the coded main diagnosis.

Second, our estimates on incidence of morbidity are based on women's self-report and not clinical examinations.

While often considered together, rhodesiense and gambiense HAT are different diseases both clinically and epidemiologically [ 15]; because rhodesiense HAT is less prevalent and less widely distributed than gambiense HAT, current published estimates of HAT morbidity are based on parameters of the latter [ 16, 17] – eg using a disability weighting of 0.35 for each non-fatal case [ 18].

One drawback, however, was that our data on co-morbidity was based on hospital admission records for those conditions.