Background
Clinical criteria | |
Acute cyanosis | Loss of consciousness lasting > 12 h |
Gasping | Loss of consciousness and absence of pulse/heart beat |
Respiratory rate > 40 or < 6/min | Stroke |
Shock | Uncontrollable fit/total paralysis |
Oliguria non-responsive to fluids or diuretics | Jaundice in the presence of pre-eclampsia |
Clotting failure | |
Laboratory-based criteria | |
Oxygen saturation < 90% for > 60 min | pH < 7.1 |
PaO2/FiO2 < 200 mmHg | Lactate > 5 |
Creatinine > 300 mmol/l or > 3.5 mg/dl | Acute thrombocytopenia (< 50,000 platelets) |
Bilirubin > 100 mmol/l or > 6.0 mg/dl | Loss of consciousness and the presence of glucose and ketoacids in urine |
Management-based criteria | |
Use of continuous vasoactive drugs | Intubation and ventilation for > 60 min not related to anesthesia |
Hysterectomy following infection or hemorrhage | Dialysis for acute renal failure |
Transfusion of u5 units red cell transfusion | Cardio-pulmonary resuscitation (CPR) |
Methods
Results
General description of studies
Author, year | Sample | Measurement | Statistical Analysis | Total Points | Score | Quality | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Probabilistic sample used | Representative | Sample size appropriate for power | Sample drawn > 1 site | Matching design | Statistically adjusted | Response rate > 50% | DV measurement | DV reliability | DV validity | Appropriate tests used | p values reported | CI values reported | Missing data managed appropriately | ||||
Ayele, 2014 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | NA | 7/13 | 0.54 | Mod weak |
Litorp,2014 | 0 | 2 | 1 | 1 | NA | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | NA | 11/13 | 0.85 | Strong |
Nelissen, 2013 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | NA | 8/13 | 0.62 | Mod weak |
Oladapo, 2015 | 1 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | NA | 11/13 | 0.85 | Strong |
Rulisa, 2015 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | NA | 7/13 | 0.54 | Mod weak |
Soma-Pillay, 2015 | 0 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | NA | 9/13 | 0.69 | Mod strong |
Tunçalp, 2013 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | NA | 7/13 | 0.54 | Mod weak |
Herklots, 2017 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | NA | 8/13 | 0.62 | Mod weak |
Kiruja, 2017 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | NA | 8/13 | 0.62 | Mod weak |
Kalisa, 2016 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | NA | 8/13 | 0.62 | Mod weak |
Nakimuli, 2016 | 0 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | NA | 11/13 | 0.85 | Strong |
Liyew, 2017 | 0 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | NA | 10/13 | 0.77 | Mod Strong |
Sayinzoga, 2017 | 0 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | NA | 11/13 | 0.85 | Mod Strong |
Mbachu, 2017 | 0 | 1 | 1 | 0 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | NA | 8/13 | 0.62 | Mod weak |
Peprah, 2015 | 1 | 2 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | NA | 12/13 | 0.92 | Strong |
Author, year | Country | Study setting | # Sample | # MNM | # MD | MNMr | MMR | MNM:MD | MI(%) |
---|---|---|---|---|---|---|---|---|---|
Ayele, 2014 | Ethiopia | District hospital | 8509 | 206 | 23 | 24.2 | 270 | 9 | 10 |
Herklots, 2017 | Zanzibar | Tertiary | 4125 | 37 | 28 | 9* | 679 | 1.3 | 43 |
Kalisa, 2016 | Rwanda | Rural referral | 3994 | 86 | 13 | 21.5 | 326 | 6.6 | 13.1 |
Kiruja, 2017 | Somaliland | Referral | 1355 | 120 | 18 | 88.6 | 1328 | 6.7 | 13 |
Litorp, 2014 | Tanzania | tertiary & regional | 13,121 | 467 | 77 | 35.6 | 587 | 6.1 | 13.9 |
Liyew, 2017 | Ethiopia | Tertiary and secondary | 29,697 | 238 | – | 8 | – | – | – |
Mbachu, 2017 | Nigeria | Private referral | 262 | 52 | 5 | 198.5 | 1908 | 10.4 | 8.8 |
Nakimuli, 2016 | Uganda | Tertiary and regional | 25,840 | 695 | 130 | 26.9 | 503 | 5.3 | 15.8 |
Nelissen, 2013 | Tanzania | District hospital | 9136 | 216 | 32 | 23.6 | 350 | 6.8 | 12.9 |
Oladapo, 2015 | Nigeria | tertiary (nationwide) | 91,724 | 1451 | 998 | 15.8 | 1088 | 1.5 | 40.8 |
Peprah, 2015 | Ghana | Tertiary and reg | 2178 | 15 | 7 | 6.9 | 321 | 2.1 | 31.8 |
Rulisa, 2015 | Rwanda | tertiary | 1739 | 142 | 50 | 81.7 | 2875 | 2.8 | 26 |
Sayinzoga, 2017 | Rwanda | District hospitals | 5577 | 201 | 13 | 36 | 233 | 15.4 | 6 |
Soma-Pillay, 2015 | South Africa | population based | 26,614 | 117 | 19 | 4.4 | 71 | 6.2 | 14.0 |
Tunçalp, 2013 | Ghana | Tertiary | 3206 | 94 | 37 | 29.3 | 1154 | 2.5 | 28.2 |
Median (IQR) | 5577 (2692, 19,480.5) | 142 (90,227) | 25.5 (14.3,46.8) | 24.2 (12.4,35.8) | 545 (322,1138) | 6.2 (2.6,6.8) | 14 (12.9,27.7) | ||
Total | 227,077 | 4137 | 1450 | 6.4 | 639 | 2.9 | 26 |
Applicability of the WHO MNM criteria
Study | Hospital type | Reported challenges or removed criteria | Adaptations made |
---|---|---|---|
Ayele, 2014, Ethiopia | District | Not all WHO near miss criteria were available | Reported as possible limitation only. No adaptation made or suggested |
Litorp, 2014, Tanzania | Tertiary and secondary | Due to limited resources, some laboratory- and management-based criteria were not applicable (not specified) | None. But it was reported as a limitation for possible under-estimation especially at the regional hospital |
Nelissen, 2013, Tanzania | District | Removed: PaO2/FiO2 < 200 mmHg; creatinine > 300 μmol/l or > 3.5 mg/dl; bilirubin > 100 μmol.l or > 6.0 mg/dl; pH < 7.1; lactate > 5 mEq/ml; loss of consciousness and ketoacids in urine; use of continuous vasoactive drugs; dialysis for acute renal failure | Included additionally eclampsia, uterine rupture, sepsis or severe systemic infection, admission to intensive care unit, reducing threshold of blood for transfusion from > 5 units to > 1 (Haydom Hospital criteria) |
Rulisa, 2015, Rwanda | Tertiary | In most cases, it was impossible to meet the full WHO criteria because most of the laboratory tests used to define those events, were not performed at the hospital | Patients were include if they had severe maternal complications (not specified) or admitted to intensive care unit |
Tuncalp 2013, Ghana | Tertiary | Although laboratory testing was available, often the markers were not requested on time or at all owing to the urgency of the management of these women. | No adaptation was made |
Herklots 2017, Zanzibar | Tertiary | Some of the markers were not applicable to the setting especially laboratory criteria | Lowered threshold of blood transfusion from > 5 units to > 5 units transfused or ordered but not entirely given |
Kalisa, 2016, Rwanda | District | Reported as not available: PaO2 /FiO2 < 200 mmHg; pH < 7.1; lactate > 5 mEq/ml; ketoacids in urine; dialysis for acute renal failure | Additionally included: eclampsia, uterine rupture, sepsis or severe systemic infection; admission to intensive care unit (Ruhengeri hospital criteria) |
Sayinzoga, 2017, Rwanda | District | The WHO criteria adapted in the Haydom study was used | Used Haydom Hospital criteria |