TY - GEN
T1 - Development of standardized midwifery nursing reproductive health data set (MN-RHDs) for Pakistan
AU - Rukanuddin, Rafat Jan
PY - 2006
Y1 - 2006
N2 - Pakistan has a marked discrepancy between reported and unreported maternal mortality, morbidity and reproductive health figures. Pakistan's figures are listed in the 'E' category by the World Health Organization meaning there is no official means of data collection and reporting. Purpose: The purpose of this study was to develop the standardized 'Midwifery Nursing Reproductive Health Data Set (MN-RHDS)' to provide systematic information about Pakistan's maternal mortality, morbidity, reproductive health, midwifery practices, and patient outcomes. Method: The descriptive data elements and definitions were generated and validated through Delphi survey and consensus conference of 25 experts. Data Collection: The experts rated each element on necessity, clarity of definition, and collectability. Findings: Elements were categorized as follows: 1) Antenatal, 2) Labor and Delivery, 3) Postnatal, 4) Demographics, 5) Service Data, 6) Maternal Death, 7) Referral, and 8) Maternal Status. Elements related to task work compared to psychosocial nursing care achieved higher means with lower standard deviation. Conclusions: The MN-RHDS impacts data collection, storage, retrieval, and linkage of standardized information about reproduction interventions and outcomes in developing nations.
AB - Pakistan has a marked discrepancy between reported and unreported maternal mortality, morbidity and reproductive health figures. Pakistan's figures are listed in the 'E' category by the World Health Organization meaning there is no official means of data collection and reporting. Purpose: The purpose of this study was to develop the standardized 'Midwifery Nursing Reproductive Health Data Set (MN-RHDS)' to provide systematic information about Pakistan's maternal mortality, morbidity, reproductive health, midwifery practices, and patient outcomes. Method: The descriptive data elements and definitions were generated and validated through Delphi survey and consensus conference of 25 experts. Data Collection: The experts rated each element on necessity, clarity of definition, and collectability. Findings: Elements were categorized as follows: 1) Antenatal, 2) Labor and Delivery, 3) Postnatal, 4) Demographics, 5) Service Data, 6) Maternal Death, 7) Referral, and 8) Maternal Status. Elements related to task work compared to psychosocial nursing care achieved higher means with lower standard deviation. Conclusions: The MN-RHDS impacts data collection, storage, retrieval, and linkage of standardized information about reproduction interventions and outcomes in developing nations.
KW - Data Set Development
KW - Developing Nations
KW - Midwifery Nursing-Reproductive Health Data Set
KW - Pakistan
UR - http://www.scopus.com/inward/record.url?scp=39049179289&partnerID=8YFLogxK
M3 - Conference contribution
C2 - 17102300
AN - SCOPUS:39049179289
SN - 158603622X
SN - 9781586036225
T3 - Studies in Health Technology and Informatics
SP - 461
EP - 464
BT - Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006
PB - IOS Press
T2 - 9th International Congress on Nursing Informatics, NI 2006
Y2 - 9 June 2006 through 21 June 2006
ER -
