Background
Literature review
Research objectives
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To assess the impact of partner support during pregnancy on maternal health.
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To asses the impact of partner support on postpartum problems
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To assess the impact of pregnancy related problems on safe child-birth.
Research methodology
Universe of the study
“Partner relationship” variable
Problems in pregnancy related outcomes
Data source
Missing cases
Statistical methods
Cluster analysis
Clustering parameters
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Algorithm: The k-Modes clustering technique was applied to the variables included in the study to identify the hidden patterns and natural sub-groups in the data. As most of the variables included in the study are categorical, so we decide the k-Modes algorithm instead of k-means. The portioning clustering was decided due to its speed and capacity to operate with large datasets.
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Number of clusters (k): The partitioning clustering algorithm requires the number of clusters as an input parameter. However, by nature, clustering is an unsupervised analysis process; therefore, the optimal number of clusters is case-dependent. In this article, we were not concerned about having equally sized clusters with clear dividing boundaries but rather clusters that represent different combinations of the clustering features in order to create user profiles with different interests and contexts. After some experimentation, we found that k = 3 clusters were suitable for our dataset.
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Similarity measure: One of the important parameter, while clustering a dataset, is to decide a distance function that can be used for computing the proximity between cases. We used the Gower Distance function, which is suitable for computing the distance between categorical variables.
Inductive statistical tests
Logistic regression
Variable | Meaning | Nature of Variable |
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Dependent (Y) | 1-Pregnancy lost; 0-Pregnancy not lost | Dichotomous |
Independent (X) | ||
Problems during pregnancy | Bleeding | categorical |
Jaundice | categorical | |
Vomiting | categorical | |
Headache | categorical | |
Weakness | categorical | |
Coma | categorical | |
Chest pain | categorical | |
Cough | categorical | |
High B.P | categorical | |
weight gain | categorical | |
Body aches | categorical | |
Swelling/feet | categorical | |
Swelling/face | categorical | |
Problems during delivery | Prolong labor | categorical |
Bleeding | categorical | |
Umbilical cord | categorical | |
Baby premature | categorical | |
Laceration | categorical | |
Suffered before pregnancy | High B.P | categorical |
Tuberculosis | categorical | |
Varicose veins | categorical | |
Severe anemia | categorical | |
Kidney problem | categorical |
Results and discussion
Reliability analysis
Descriptive statistics
Variable | Category | Percentages |
---|---|---|
Area | Rural | 57.7% |
Urban | 45.3% | |
Pregnancy status | Yes | 10.8% |
No | 85.8% | |
Unsure | 0.5% | |
Antenatal care | Yes | 41.6% |
No | 58.4% | |
Early breastfeeding | Yes | 20.5% |
No | 79.5% | |
Exclusive breastfeeding | Yes | 20.7% |
No | 79.3% | |
Balance diet | Yes | 26.1% |
No | 73.9% |
Variable | Chi-square | P-value |
---|---|---|
Education level* Use of ANC | 26.12 | 0.000* |
Cluster profiling
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Cluster-2: The k-means Cluster-2 is the largest cluster comprising of 3661 (51% of entire data) cases. The substantial overall issues with pregnancy-related outcomes are seen in this cluster. During pregnancy, this group of women has a variety of health issues. The average for most of the variables for this segment of women is higher than the average for overall dataset. The average of variables Vaginal bleeding, Jaundice, Excessive vomiting, Headache, Sever weakness, Coma, Chest pain, Cough, High B.P, Weight gain, Body aches, Swelling of feet, and Swelling of face is higher for this segment of women. Theses factors are associated with a higher risk of many other complications, like preeclampsia, preterm delivery, and low birth weight [44]. Expectant mothers should always contact the doctor if they have any of these concerns during pregnancy.
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Cluster-3: The k-means cluster-3 is the second largest cluster comprises of 1979 (28% of all data) cases. This segment of women do not have much problems during pregnancies, as the cluster means for all variables are smaller than the overall means.
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Cluster-1: The k-means cluster-1 do not contribute much to the clustering solutions, as the within-cluster means of all variables are similar to the overall means of the dataset.
Variable | Code | Cluster-1 | Cluster-2 | Cluster-3 |
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Living together | Yes | 1695 | 2522 | 1394 |
No | 292 | 1139 | 196 | |
Region of residence | Punjab | 499 | 1118 | 343 |
Sindh | 391 | 717 | 262 | |
KP | 495 | 601 | 400 | |
Balochistan | 246 | 528 | 204 | |
GB | 141 | 314 | 189 | |
AJK | 212 | 380 | 147 |
Chi square results
Variable | Code | Chi-square | P-value |
---|---|---|---|
During antenatal care advised on: | Early breastfeeding | 6.14 | 0.046* |
Exclusive breastfeeding | 6.56 | 0.041* | |
Balanced diet | 7.20 | 0.033* | |
Complications during postpartum | – | 28.80 | 0.004** |
Problems during postpartum: | Fever | 7.289 | 0.608 |
Seizures/fits | 51.46 | 0.000** | |
Excessive bleeding | 25.34 | 0.007** | |
Jaundice | 4.10 | 0.900 | |
Vaginal discharge smelling material | 16.56 | 0.031* | |
Burning in micturition | 2.85 | 0.970 | |
Increased frequency of urine | 7.47 | 0.588 | |
Feeling extreme weakness | 45.86 | 0.000** | |
Pallor | 20.88 | 0.011* | |
Cough (difficulty in breathing) | 6.04 | 0.735 | |
Breasts tenderness | 16.93 | 0.048* | |
Breast swelling | 42.73 | 0.000** | |
Breast infection | 20.88 | 0.013* | |
Tear/ulcer in breast | 6.94 | 0.643 |
logistic regression model
Variable | Code | Coefficient | S.E | P-value | Exp(B) |
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Problems during pregnancy | Bleeding | .816 | .063 | .000** | 2.262 |
Jaundice | .149 | .082 | .069 | 1.161 | |
Vomiting | .122 | .034 | .000** | 1.885 | |
Headache | .067 | .039 | .084 | 1.069 | |
Weakness | .105 | .060 | .080 | 1.111 | |
Coma | -.163 | .098 | .095 | .849 | |
Chest pain | .164 | .066 | .013* | 1.178 | |
Cough | -.133 | .050 | .009** | .876 | |
High B.P | .128 | .034 | .000** | 1.137 | |
weight gain | -.095 | .039 | .016* | .910 | |
Body aches | -.042 | .037 | .263 | .959 | |
Swelling/feet | -.136 | .051 | .008** | .873 | |
Swelling/face | .115 | .058 | .046* | 1.122 | |
Problems during delivery | Prolong labor | .161 | .047 | .001** | 1.175 |
Bleeding | .143 | .063 | .023* | 1.153 | |
Umbilical cord | -.044 | .031 | .156 | .957 | |
Baby premature | .312 | .067 | .000** | 1.366 | |
Laceration | -.312 | .062 | .000** | .732 | |
Suffered Before pregnancy | High B.P | .152 | .070 | .030* | 1.164 |
Tuberculosis | -.216 | .125 | .084 | .805 | |
Varicose veins | .174 | .098 | .075 | 1.190 | |
Severe anemia | .180 | .066 | .007** | 1.197 | |
Kidney problem | .205 | .087 | .018* | 1.228 | |
Constant | — | -.240 | .432 | .578 | .786 |
Conclusion
Limitations
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Missing cases: The dataset comprises a huge number of missing cases, especially on the variables related to women’s health problems. This is because the cultural restrictions played a role in the survey and resulted in a high rate of non-response on certain variables.
Recommendations
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Awareness programs: Pregnant women and newborns require timely access to qualified health professionals during pregnancy, labour, and postpartum. However, their access to healthcare facilities is restrained by delays. The causes of these delays include logistical and financial concerns and inadequate community and family awareness and understanding regarding mother and infant health matters. So, there is a need to arrange awareness programs for male partners to fully support and provide proper antenatal care during and after pregnancies.
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Childcare guides: A supporting role for spouses can be included in the maternal and childcare guides provided during ANC visits and couple interventions at the community level.