TY - JOUR
T1 - Do hot-spots of maternal mortality ratio exist in India? A district-level spatial analysis
AU - Puranik, Amitha
AU - Nair, Suma
AU - Binu, V. S.
AU - Biju, Seena
N1 - Publisher Copyright:
© 2017, Indian Association of Preventive and Social Medicine. All rights reserved.
PY - 2017/12/31
Y1 - 2017/12/31
N2 - Background: Hot-spot detection of Maternal Mortality Ratio (MMR) can assist in identifying the exact geographic location of regions that need urgent attention. Aims &Objectives: To detect hot-spots of MMR at district level in the selected nine states of India and the observed pattern was further correlated with hot-spots of certain known risk factors of MMR in the same region. Material &Methods: Data on MMR was obtained from Annual Health Survey 2012-13. Moran’s I was computed for MMR to quantify spatial autocorrelation. The hot-spot analysis of MMR and its potential risk factors were performed using Getis-Ord Gi* statistic, a measure of local indicators of spatial autocorrelation (LISA). The spatial analysis was based on queen’s contiguity weight matrix and analyses were done using ArcGIS 10.3. Results: The Moran’s I value of MMR was found to be 0.69 indicating a positive spatial autocorrelation. Districts with MMR hot-spotting was largely observed in Uttar Pradesh and Madhya Pradesh, followed by Assam, Bihar and Jharkhand. The hot-spot analysis unveiled an inverse relation of MMR with female literacy rate, mothers who received any antenatal check-up (%), mothers who utilized Janani Suraksha Yojana (%), safe delivery (%) and urbanization (%). Marriages among females below 18 years (%), total fertility rate and women with unmet need for spacing (%) had a direct relation with MMR. Conclusion: Information on hot-spots as depicted in this study can help locate the regions vulnerable to MMR and the potential risk factors, which in turn could aid in implementing targeted intervention programs.
AB - Background: Hot-spot detection of Maternal Mortality Ratio (MMR) can assist in identifying the exact geographic location of regions that need urgent attention. Aims &Objectives: To detect hot-spots of MMR at district level in the selected nine states of India and the observed pattern was further correlated with hot-spots of certain known risk factors of MMR in the same region. Material &Methods: Data on MMR was obtained from Annual Health Survey 2012-13. Moran’s I was computed for MMR to quantify spatial autocorrelation. The hot-spot analysis of MMR and its potential risk factors were performed using Getis-Ord Gi* statistic, a measure of local indicators of spatial autocorrelation (LISA). The spatial analysis was based on queen’s contiguity weight matrix and analyses were done using ArcGIS 10.3. Results: The Moran’s I value of MMR was found to be 0.69 indicating a positive spatial autocorrelation. Districts with MMR hot-spotting was largely observed in Uttar Pradesh and Madhya Pradesh, followed by Assam, Bihar and Jharkhand. The hot-spot analysis unveiled an inverse relation of MMR with female literacy rate, mothers who received any antenatal check-up (%), mothers who utilized Janani Suraksha Yojana (%), safe delivery (%) and urbanization (%). Marriages among females below 18 years (%), total fertility rate and women with unmet need for spacing (%) had a direct relation with MMR. Conclusion: Information on hot-spots as depicted in this study can help locate the regions vulnerable to MMR and the potential risk factors, which in turn could aid in implementing targeted intervention programs.
UR - https://www.scopus.com/pages/publications/85047373582
UR - https://www.scopus.com/inward/citedby.url?scp=85047373582&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85047373582
SN - 0971-7587
VL - 29
SP - 369
EP - 370
JO - Indian Journal of Community Health
JF - Indian Journal of Community Health
IS - 4
ER -