Social demographic characteristics of study population
This study involved 161 PPH cases delivered at St. Joseph Mission Referral hospital in Peramiho at Songea from January 2017 to December 2019. The age of the participants recruited in this study ranged from 15 to 45 years with the mean age of 29.12 years and median of 29 years. One quarter were the peasants and half of them had only primary education and 9.3% had higher education while 5.6% had no formal education. Three quarter of the participants live in rural areas while only less than one quarter live in urban. (Table 1)
Table 2
Socio-demographics characteristics of study population (N = 161)
Variable | Frequency | Percentage |
Age |
15–25 | 60 | 37.3 |
26–36 | 67 | 41.6 |
37 and above | 34 | 21.1 |
Occupation |
Student | 11 | 6.8 |
Employee | 17 | 10.6 |
Businesswoman | 15 | 9.3 |
Peasant | 59 | 36.6 |
House wife | 48 | 29.8 |
Self-employment | 11 | 6.8 |
Education level |
No formal education | 9 | 5.6 |
Primary | 87 | 54.0 |
Secondary | 50 | 31.1 |
College &university | 15 | 9.3 |
Residency |
Urban | 43 | 26.7 |
Rural | 118 | 73.3 |
Prevalence of PPH and mode of delivery
The total number of 12123 mothers were delivered at St Joseph Mission Hospital Peramiho between year 2017 and 2019, where 3703, 3930 and 4490 in 2017, 2018 and 2019 respectively. The occurrence of PPH increases consequently in those three consecutive years. The prevalence of PPH in year 2017, 2018 and 2019 was 13, 13 and 14 per 1000 women respectively. However, the overall prevalence for those three year was 13 per 1000 women (Table 3).
Most deliveries that complicate with PPH were from home which contributes 73% of total PPH, 70%of those were the mothers who resides in rural areas. Those delivered through spontaneous vaginal delivery (SVD) contributed to about 67.1% of those PPH cases which is twice that of C/S. Teen mothers contributes 12.4%, 20’s mother 39.8% and mothers of 30 year and above contribute by 47.8%. (Fig. 1)
Table 4
PPH cases and prevalence in hospital from January 2017 to December 2019
Variables | 2017 | 2018 | 2019 | Total |
No. of PPH cases (Per 1000 women) | 13 | 13 | 14 | 40 |
Total deliveries | 3703 | 3930 | 4490 | 12,123 |
Prevalence (%) | 1.3 | 1.26 | 1.4 | 4.0 |
Causes of PPH among women delivered
Among women delivery in this study facility, different causes related to postpartum haemorrhage within three consecutive years were identified. However, the uterus atony, trauma, retained placenta, placental abnormalities, coagulopathy (4T’s) were the major causes of PPH. The mothers with coagulopathy disorder were 6.8%, episiotomy 10%, ruptured uterus 10.6%, high grade tear 13%, retained placenta 17.4%, and atone uterus 42.2%. (Fig. 3)
The associated factors for postpartum haemorrhage
Although there is high management of third stage of labour in the hospital in which the study shows that 73.3% of those suffered PPH had received high management in the third stage of labour within 30minutes. Several other factors were contributing to the high prevalence of PPH in Peramiho hospital. These are delivery complications (27.3%), previous PPH (18.6%), anaemia (16.1%), multiple pregnancy (15.5%), placenta previa (12,4%), pre-eclampsia and eclampsia (12%). Other factors were macrosomia (8.1%), abruptio placenta (7.5%), and obesity (7.5%), malpresentation (7.5%). However, 62.7% of all PPH sufferers had Hb > 10g/dl, had parity less than 5(67.7%). Other non-medical associated factors which contributed to high prevalence of PPH at the hospital are Age at delivery that < 20 year and > 35 year (34.6%) show high prevalence, education level in which women with primary education (54.0%) showed high prevalence compared to high educated one. Living in rural area (73.3%) showed increased tare of PPH. (Table 5)
Table 6
The associated Factors of PPH among the women delivered at St. Joseph Mission referral hospital in Peramiho at Songea from January 2017 and December 2019.
Factors | Frequency | Percentage |
Parity |
| < 5 | 109 | 67.7 |
> 5 | 52 | 32.3 |
Multiple pregnancy | 25 | 15.5 |
Genital mutilation | 5 | 3.1 |
Previous PPH | 30 | 18.6 |
Preeclampsia | 20 | 12.4 |
Eclampsia | 19 | 12.4 |
Duration of 3rd stage of labour |
| < 30minutes | 118 | 73.3 |
| 30-60minutes | 31 | 19.3 |
> 60minutes | 12 | 7.5 |
Complication during delivery | 44 | 27.3 |
| Macrosomia | 14 | 8.7 |
Hb Level |
| < 10 | 60 | 37.3 |
> 10 | 101 | 62.7 |