PregnancySupervisor (.xlsx)

Download original .xlsx file from GitHub

parameter_values

parameter_name

value

Primary Source (or calibration data)

Unnamed: 3

0

prob_ectopic_pregnancy

[0.01, 0.01]

[0.004937, 0.00366]

Institute of Health Metrics and Evaluation (2019) GBD Results Tool | GHDx, 2019. Available at: http://ghdx.healthdata.org/gbd-results-tool (Accessed: 6 July 2021).

1

prob_care_seeking_ectopic_pre_rupture

[0.08, 0.08]

Flores, A. H. et al. (2015) ‘Frequency of utilisation of ultrasound in the diagnosis of ectopic pregnancy in Sub-Saharan Africa countries: A systematic review’, in African Journal of Emergency Medicine. African Federation for Emergency Medicine, pp. 31–36. doi: 10.1016/j.afjem.2014.08.001.

2

prob_ectopic_pregnancy_death

[0.02, 0.012]

Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report.

Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014.

3

4

prob_multiples

[0.0399, 0.0399]

Monden, C. W. S. and Smits, J. (2017) ‘Mortality among twins and singletons in sub-Saharan Africa between 1995 and 2014: a pooled analysis of data from 90 Demographic and Health Surveys in 30 countries’, The Lancet Global Health. Elsevier Ltd, 5(7), pp. e673–e679. doi: 10.1016/S2214-109X(17)30197-3.

5

6

prob_placenta_praevia

[0.005,0.0058]

Senkoro, E. E. et al. (2017) ‘Frequency, Risk Factors, and Adverse Fetomaternal Outcomes of Placenta Previa in Northern Tanzania’, Journal of Pregnancy. Hindawi Limited, 2017. doi: 10.1155/2017/5936309.

7

rr_placenta_praevia_previous_cs

[1.47,1.47]

Yang, Q. et al. (2007) ‘Association of caesarean delivery for first birth with placenta praevia and placental abruption in second pregnancy’, BJOG: An International Journal of Obstetrics and Gynaecology. BJOG, 114(5), pp. 609–613. doi: 10.1111/j.1471-0528.2007.01295.x.

8

9

prob_syphilis_during_pregnancy

[0.028, 0.028]

Malawi Integrated HIV Program Reports

10

11

prob_previous_miscarriage_at_baseline

0.047

National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017

12

prob_spontaneous_abortion_per_month

[[0.025, 0.037, 0.05, 0.037, 0.025], [0.025, 0.037, 0.05, 0.037, 0.025]]

Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021).

Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639.

13

rr_spont_abortion_age_35

[4, 4]

Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088.

14

rr_spont_abortion_age_31_34

[2.31, 2.31]

Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088.

15

rr_spont_abortion_prev_sa

[2.23, 2.23]

Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088.

16

prob_complicated_sa

[0.11, 0.11]

Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021).

Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639.

17

prob_induced_abortion_per_month

[0.038, 0.038]

Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021).

Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639.

18

prob_complicated_ia

[0.37 ,0.37]

Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021).

Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639.

19

prob_haemorrhage_post_abortion

[0.23, 0.23]

The magnitude and severity of abortion-related morbidity in settings with limited access to abortion services: a systematic review and meta-regression’, BMJ Global Health. BMJ Publishing Group, 3(3), p. e000692. doi: 10.1136/bmjgh-2017-000692.

20

prob_sepsis_post_abortion

[0.137, 0.137]

Kalilani-Phiri, L. et al. (2015) ‘The severity of abortion complications in Malawi’, International Journal of Gynecology & Obstetrics. Elsevier Ireland Ltd, 128(2), pp. 160–164. doi: 10.1016/j.ijgo.2014.08.022.

21

prob_injury_post_abortion

[0.056, 0.056]

Kalilani-Phiri, L. et al. (2015) ‘The severity of abortion complications in Malawi’, International Journal of Gynecology & Obstetrics. Elsevier Ireland Ltd, 128(2), pp. 160–164. doi: 10.1016/j.ijgo.2014.08.022.

22

prob_spontaneous_abortion_death

[0.01, 0.005]

Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report.

Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014.

23

prob_induced_abortion_death

[0.005, 0.0025]

Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report.

Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014.

24

25

26

baseline_prob_anaemia_per_month

[0.1, 0.12]

National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011.

National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017

27

rr_anaemia_maternal_malaria

[1.45, 1.45]

28

rr_anaemia_hiv_no_art

[4.19, 4.19]

29

prob_mild_mod_sev_anaemia

[[0.52,0.475, 0.005], [0.50, 0.46, 0.04]]

National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011. National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017

30

31

prob_gest_diab_per_month

[0.0056, 0.0056]

Phiri, T. J., Kasiya, M. and Allain, T. (2019) Full Prevalence Of Gestational Diabetes In Urban Women In Blantyre, Malawi: A Cross Sectional Study And Comparison Of Who And IADPSG Criteria. doi: 10.21203/rs.2.13491/v1.

32

rr_gest_diab_obesity

[3.97, 3.97]

Santos, S. et al. (2019) ‘Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts’, BJOG: An International Journal of Obstetrics and Gynaecology. Blackwell Publishing Ltd, 126(8), pp. 984–995. doi: 10.1111/1471-0528.15661.

33

34

prob_gest_htn_per_month

[0.0073, 0.0073]

[0.0084, 0.0083]

35

rr_gest_htn_obesity

[3.31, 3.31]

36

prob_pre_eclampsia_per_month

[0.0065,0.0065]

[0.00825,0.00825]

37

rr_pre_eclampsia_obesity

[3.2, 3.2]

38

rr_pre_eclampsia_multiple_pregnancy

[4.07, 4.07]

39

rr_pre_eclampsia_chronic_htn

[2.26, 2.26]

40

rr_pre_eclampsia_diabetes_mellitus

[3.7, 3.7]

41

probs_for_mgh_matrix

[[0.918, 0.032, 0.05, 0, 0], [0.918, 0.032, 0.05, 0, 0]]

[[0.686, 0.264, 0.05, 0, 0], [0.686, 0.264, 0.05, 0, 0]]

[[0.884, 0.066, 0.05, 0, 0], [0.884, 0.066, 0.05, 0, 0]]

42

probs_for_sgh_matrix

[[0, 0.87, 0, 0.13, 0], [0, 0.87, 0, 0.13, 0]]

43

probs_for_mpe_matrix

[[0, 0, 0.78, 0.22, 0], [0, 0, 0.78, 0.22, 0]]

[[0, 0, 0.89, 0.11, 0], [0, 0, 0.89, 0.11, 0]]

44

probs_for_spe_matrix

[[0, 0, 0, 0.16, 0.84], [0, 0, 0, 0.16, 0.84]]

[[0, 0, 0, 0.868, 0.132], [0, 0, 0, 0.868, 0.132]]

45

probs_for_ec_matrix

[[0, 0, 0, 0, 1], [0, 0, 0, 0, 1]]

46

prob_severe_pre_eclampsia_death

[0.018, 0.018]

47

prob_eclampsia_death

[0.028, 0.03]

48

prob_monthly_death_severe_htn

[0.0001, 0.0001]

N/A

49

50

prob_placental_abruption_per_month

[0.0005, 0.0005]

51

rr_placental_abruption_hypertension

[2.2, 2.2]

52

rr_placental_abruption_previous_cs

[1.3, 1.3]

53

54

prob_aph_placenta_praevia

[0.09, 0.09]

[0.0865, 0.0865]

55

prob_aph_placental_abruption

[0.9, 0.9]

56

prob_mod_sev_aph

[[0.8, 0.2], [0.8, 0.2]]

[[0.4, 0.6], [0.4, 0.6]]

57

prob_antepartum_haemorrhage_death

[0.11, 0.04]

58

59

prob_prom_per_month

[0.0064, 0.0064]

[0.0064, 0.0064]

60

61

prob_chorioamnionitis

[0.015, 0.013]

62

prob_antenatal_sepsis_death

[0.75, 0.49]

[0.5, 0.415]

63

64

baseline_prob_early_labour_onset

[[0.0008, 0.0033,0.017, 0.04], [0.0008, 0.0033,0.017, 0.04]]

65

rr_preterm_labour_post_prom

[5.9, 5.9]

66

rr_preterm_labour_anaemia

[4.58, 4.58]

67

rr_preterm_labour_malaria

[3.08, 3.08]

68

rr_preterm_labour_multiple_pregnancy

[3.44, 3.44]

69

70

prob_still_birth_per_month

[0.0031, 0.0026]

71

rr_still_birth_ga_41

[2.24, 2.24]

72

rr_still_birth_ga_42

[3.88, 3.88]

73

rr_still_birth_ga_>42

[6.94, 6.94]

74

rr_still_birth_gest_diab

[3.91, 3.91]

75

rr_still_birth_diab_mellitus

[3.52, 3.52]

76

rr_still_birth_maternal_malaria

[1.81, 1.81]

77

rr_still_birth_maternal_syphilis

[6.87, 6.87]

78

rr_still_birth_pre_eclampsia

[4.15, 4.15]

79

rr_still_birth_eclampsia

[4.15, 4.15]

80

rr_still_birth_gest_htn

[1.21, 1.21]

81

rr_still_birth_chronic_htn

[2.32, 2.23]

82

rr_still_birth_aph

[2.1, 2.1]

83

rr_still_birth_chorio

[2, 2]

https://www.tandfonline.com/doi/full/10.1080/14767058.2020.1852206

84

85

prob_seek_care_pregnancy_complication

[0.782, 0.782]

Chinkhumba, J. et al. (2017) ‘Household costs and time to seek care for pregnancy related complications: The role of results-based financing’, PLOS ONE. Public Library of Science, 12(9), p. e0182326. doi: 10.1371/JOURNAL.PONE.0182326.

86

prob_seek_care_pregnancy_loss

[0.782, 0.782]

Chinkhumba, J. et al. (2017) ‘Household costs and time to seek care for pregnancy related complications: The role of results-based financing’, PLOS ONE. Public Library of Science, 12(9), p. e0182326. doi: 10.1371/JOURNAL.PONE.0182326.

87

prob_seek_care_induction

[0.2, 0.2]

N/A

88

89

prob_anc1_months_2_to_4

[[0.165, 0.165, 0.67], [0.165, 0.364, 0.471]]

National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011. National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017

90

prob_anc1_months_5_to_9

[[0.345, 0.245, 0.28, 0.015, 0.015, 0.1], [0.41, 0.25, 0.21, 0.015, 0.015, 0.1]]

As above.

91

odds_early_init_anc4

[0.32, 0.58]

As above.

92

aor_early_anc4_20_24

[1.26, 1.26]

As above.

93

aor_early_anc4_25_29

[1.44, 1.44]

As above.

94

aor_early_anc4_30_34

[1.49, 1.49]

As above.

95

aor_early_anc4_35_39

[1.64, 1.64]

As above.

96

aor_early_anc4_40_44

[1.51, 1.51]

As above.

97

aor_early_anc4_45_49

[1.91, 1.91]

As above.

98

aor_early_anc4_2010

[1.51, 1.51]

As above.

99

aor_early_anc4_2015

[2.03, 2.03]

As above.

100

aor_early_anc4_parity_2_3

[0.74, 0.74]

As above.

101

aor_early_anc4_parity_4_5

[0.65, 0.65]

As above.

102

aor_early_anc4_parity_6+

[0.61, 0.61]

As above.

103

aor_early_anc4_secondary_edu

[1.24, 1.24]

As above.

104

aor_early_anc4_tertiary_edu

[2.64, 2.64]

As above.

105

aor_early_anc4_richest_wealth

[1.32, 1.32]

As above.

106

prob_late_initiation_anc4

[0.3, 0.29]

[0.215, 0.143]

107

prob_early_initiation_anc_below4

[0.115, 0.101]

As above.

108

prob_early_anc_at_facility_level_1_2

[[0.5, 0.5], [0.5, 0.5]]

N/A

109

110

treatment_effect_ectopic_pregnancy_treatment

[0.1, 0.1]

111

treatment_effect_post_abortion_care

[0.2, 0.2]

112

treatment_effect_iron_folic_acid_anaemia

[0.3, 0.3]

113

treatment_effect_calcium_pre_eclamp

[0.45, 0.45]

114

treatment_effect_gest_htn_calcium

[0.65, 0.65]

115

treatment_effect_anti_htns_progression

[0.49, 0.49]

116

prob_glycaemic_control_diet_exercise

[0.5, 0.5]

N/A

117

prob_glycaemic_control_orals

[0.936, 0.936]

Glibenclamide, metformin, and insulin for the treatment of gestational diabetes: a systematic review and meta-analysis.

118

treatment_effect_gdm_case_management

[0.9, 0.9]

119

treatment_effect_still_birth_food_sups

[0.6, 0.6]

120

121

anc_service_structure

8

N/A

122

ps_analysis_in_progress

False

123

alternative_anc_coverage

False

124

alternative_anc_quality

False

125

anc_availability_odds

9

126

anc_availability_probability

0.9

127

alternative_ip_anc_quality

False

128

ip_anc_availability_probability

0.9

129

sens_analysis_min

False

130

sens_analysis_max

False

131

analysis_year

2023