Medication related risk factors for preterm birth – Kitui County Dr. Albert N Kaburi Supervisors: Dr. Margaret Oluka Prof. Charles K Maitai Dr. Rose Kosgei.

Slides:



Advertisements
Similar presentations
Changing Nutritional Needs During Pregnancy. Maternal Diet and Infant Health  Recommended weight gain  1# month 1 st Trimester  1# week 2 nd and.
Advertisements

Intimate Partner Violence (IPV) and Women’s Health during Pregnancy Findings from the Rhode Island PRAMS Hanna Kim, Samara Viner-Brown, Rachel.
بسم الله الرحمن الرحيم An- Najah National University Faculty of Nursing Maternal Iron Deficiency Anemia & Birth Outcome Supervised by: Dr. Adnan Sarhan.
Investigations in to the Prevention of Postpartum Hemorrhage ProceedingsEducation and Health Centers in Qom.
PMTCT FAILURE: THE ROLE OF MATERNAL AND FACILITY –RELATED FACTORS ICASA Presentation 8 th to 12 th Dec 2013 Onono Maricianah 1, Elizabeth A. Bukusi 1,
THE RELATIONSHIP BETWEEN KNOWLEDGE OF GOAL ORIENTED ANTENATAL CARE AND ADHERENCE TO GOAL ORIENTED VISITS BY ANTENATAL CLIENTS 10 th SOMSA CONGRESS ST GEORGE.
Laura L. McDermott, PhD, FNP, RN Gale A. Spencer, PhD, RN Binghamton University Decker School of Nursing THE RELATIONSHIP AMONG BARRIERS AND FACILITATORS.
FACTORS HINDERING ATTITUDE TO TREATMENT AMONG PATIENTS WITH TYPE-2 DIABETES MELLITUS IN THE NIGER DELTA, NIGERIA by AGOFURE OTOVWE and OYEWOLE OYEDIRAN.
Neonatal Mortality in Ghana Keeps MDG 4 at the Crossroads.
The impact of managed clinical networks on place of birth and newborn transfers Chris Gale On behalf of the Neonatal Data Analysis Unit and the Medicines.
Pregnancy-associated Crashes and Birth Outcomes: Linking birth/fetal death records to motor vehicle crash data Lisa Hyde, Larry Cook Lenora Olson, Hank.
DECISION SUPPORT RESEARCH TEAM “Providing expertise to improve health & wellbeing of families” Retention in a Study of Prenatal Care: Implications of attrition.
Interconception Education and Counseling: Strategies from Florida Presented by: Betsy Wood, BSN, MPH Infant, Maternal & Reproductive Health Unit Florida.
2005 NORTH DAKOTA Pregnancy Nutrition Surveillance System.
Preventing Infant Mortality: What We Know, What We Don’t, and What You Can Do Tom Ivester, MD, MPH UNC School of Medicine Division of Maternal Fetal Medicine.
2006 NORTH CAROLINA Pregnancy Nutrition Surveillance System.
Problems in Birth Registration What is the National Standard? Why is the data so important? Joanne M. Wesley Office of the State Registrar.
NEWBORN CARE PRACTICES AMONG MOTHERS OF RAUTAHAT DISTRICT
Although the positive link between prenatal health behaviors, including exercise, and maternal-infant health has been documented, it is also well recognized.
Identification and Notification of Maternal Deaths.
The Association between Antenatal Depression and Adverse Birth Outcomes among Women Receiving Medicaid in Washington State Amelia R. Gavin, PhD School.
Breastfed children have reduced rates of GI infection, respiratory disease, hospitalization, obesity and type 2 diabetes. Mothers who breastfeed also experience.
Factors associated with perinatal deaths in women delivering in a health facility in Malawi Lily C. Kumbani, Johanne Sundby and Jon Øyvind Odland.
Presenter : Dr T. G. Nematadzira on behalf of The IMPAACT PROMISE 1077BF/1077FF Team Efficacy and Safety of Two Strategies to Prevent Perinatal HIV Transmission.
報 告 者 王瓊琦. postpartum depression : identification of women at risk.
2008 NORTH DAKOTA Pregnancy Nutrition Surveillance System.
2010 WISCONSIN Pregnancy Nutrition Surveillance System.
Early Newborn Discharge and Readmission for Mild and Severe Jaundice Jacqueline Grupp-Phelan, James A. Taylor, Lenna L. Liu and Robert L. Davis University.
Supervisor: PROF. J. K. IMUNGI, PhD
Smoking and Pregnancy: Status Profile 2007 Annie Berthiaume Roberta Heale Irene Koren Rachelle Arbour-Gagnon Funded by the Louise Picard Research Grant.
Racial Disparity in Correlates of Late Preterm Births: A Population-Based Study Shailja Jakhar, Christine Williams, Louis Flick, Jen Jen Chang, Qian Min,
Determinants of early first attendance at antenatal care clinics in the Amazon region of Peru: a case-control study Nora Moore, MSc Candidate CPHA-Public.
PRINCIPAL INVESTIGATOR: DR. GWAKO G. N SUPERVISORS: PROF. QURESHI Z.N; DR. KUDOYI W.O; PROF. WERE F. KNH/UON MNCH SYMPOSIUM UON LT3 10-Jan-2013.
1 Perinatal Periods of Risk Approach: Tarrant County Experience Anita K. Kurian, MBBS, DrPH Division Manager & Chief Epidemiologist Tarrant County Public.
MATERNAL FETAL POPULATION HEALTH MODULE Integrating Population Health Inquiry Transforms (IPHIT) Family Medicine Northeast Education Afternoon December.
RISK FACTORS FOR REHOSPITALIZATION OF PATIENTS WITH MENTAL DISORDERS A CASE CONTROL STUDY Margaret Eliphy Nkangala, Bsc Health Science Education, Malawi.
Breastfeeding in Northeast Tennessee Beth Bailey, PhD Associate Professor Department of Family Medicine East Tennessee State University.
MATERIAL & METHODS SECTION PREPARATION (IN THE HEALTH RESEARCH PROPOSAL) DR. HAYFAA A. WAHBI ASSISTANT PROFESSOR, CHAIR OF EBHC & KT COLLEGE OF MEDICINE.
2010 NORTH CAROLINA Pregnancy Nutrition Surveillance System.
Understanding Medical Articles and Reports Linda Vincent, MPH UCSF Breast SPORE Advocate September 24,
2011 NATIONAL Pregnancy Nutrition Surveillance System.
An Intervention To Improve Antibiotic Prescribing Habits of Doctors in a Teaching Hospital Ofei F, Forson A, Tetteh R, Ofori-Adjei D University of Ghana.
Danish National Birth Cohort (DNBC) I4C_Lyon 2009 Methods and Data collection Population sample Years of recruitment: Sampling method:
The Impact of Birth Spacing on Subsequent Feto-Infant Outcomes among Community Enrollees of a Federal Healthy Start Project Hamisu M. Salihu, MD, PhD Euna.
Methodology Research Design This was a cross-sectional study Target Population All postnatal mothers attending Maternal Child Health Clinic at Chilenje.
THE 6 TH NATIONAL SCIENTIFIC CONFERENCE ON HIV/AIDS Late maternal HIV testing, HCMC Chi K. Nguyen 1, Haily T. Pham 2, ThuVan T. Tieu 2, Chinh.
SYDNEY MEDICAL SCHOOL Using short message service to improve infant feeding practices in Shanghai, China: feasibility, acceptability and results at 12.
Effect of grandparental child rearing on cognitive development among 12-month-old Thai infants: the prospective cohort study of Thai children Miss. Sukanya.
Monday, June 23, 2008Slide 1 KSU Females prospective on Maternity Services in PHC Maternity Services in Primary Health Care Centers : The Females Perception.
Maternal health behaviours during pregnancy and associations with infant feeding factors Roslyn Tarrant 1, Katherine Younger 2, Margaret Sheridan-Pereira.
2015. The MoBa cohort Aim: To find causes of disease and factors involved in health related issues in a lifespan A large population based pregnancy cohort.
2015 Afghanistan Demographic and Health Survey (AfDHS) Key Indicators Report.
Factors associated with maternal smoking during early pregnancy: relationship to low-birth-weight infants and maternal attitude toward their pregnancy.
Effect of Household Air Pollution Exposure during Pregnancy on Birth Weight Dr. Sudipto Roy, Tshencho Dorji, Pema Tshewang, Tshewang Dorji, Pema Khandu.
Society for Prevention Research 21st Annual Meeting (May 28-31, 2013) in San Francisco, CA A. Fogarasi-Grenczer 1, I. Rákóczi 2, K. L. Foley PhD. 3, P.
Mei-Chun LU, Song-Shan HUANG, Yuan-Horng YAN, Panchalli WANG, Yueh-Han HSU, Wei CHEN Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi,
An observation of gestational weight gain in obese pregnancies Dr Julie Abayomi.
2014 Kenya Demographic and Health Survey (KDHS) Maternal and Child Health Follow along on
Use of Acyclovir, Valacyclovir, and Famciclovir in the First Trimester of Pregnancy and the Risk of Birth Defects Björn Pasternak; Anders Hviid R3 Jungwook.
Timalsina U, Sharma S, Giri S, Basyal B, Bhandari S, Neupane M
Reducing global mortality of children and newborns
Development of Indicator Scores Using Items from the WHO Safe Motherhood Needs Assessment to Examine Utilisation of Maternal Health Services in South Africa.
Breast Feeding Practices Among Post Natal Mothers in a Tertiary Care Hospital in Thrissur District, Kerala Sruthi M V, Saju C.R, Catherin N, Jini M P,
Department of Pediatric Newborn Medicine
Dr.S.Gopalakrishnan1, Dr.V.M.Anantha Eashwar2, Dr.A.Geetha3
NORTH CAROLINA 2008 Pregnancy Nutrition Surveillance System.
the prospective cohort study of Thai children
SERO-CHARACTERIZATION OF HUMAN CYTOMEGALOVIRUS AMONG PREGNANT WOMEN IN THIKA. PUBLISHERS: Zakayo Maingi (corresponding author) Dr Anthony Kebira Prof.
Dr. Hayfaa A. Wahbi ASSociate professor, Chair of EBHC & KT
Indiana State Department of Health
Presentation transcript:

Medication related risk factors for preterm birth – Kitui County Dr. Albert N Kaburi Supervisors: Dr. Margaret Oluka Prof. Charles K Maitai Dr. Rose Kosgei

Introduction Preterm birth occurs less than 37 weeks gestation Premature infants contribute substantially to infant morbidity and mortality especially in low resource areas. Understanding the factors that contribute to pre-mature birth is important in strategy to reduce them Medication-related risk factors important, justifying this study

Introduction Medication exposure classified into: Herbal remedies Self-medication Prescription medication Timing of exposure depended on the trimester the first dose was taken Intensity of exposure determined using the number of days the use lasted

Purpose of the study To investigate the medication-related risk factors for preterm birth in Kitui County Broad objective To investigate medication related risk factors between immediate postpartum mothers who had preterm term birth and compared to those who had term birth in Kitui County, 2014

Specific objectives Among immediate postpartum mothers who had preterm birth and to those who had term birth in Kitui County, to determine and compare the difference in: Prescription medication use in pregnancy Self-medication use in pregnancy Herbal remedy use in pregnancy

Methodology Study carried out in Kitui and Mwingi DHs Study was carried out among immediate postpartum mothers who consented Sample size: Calculated: cases = 115, controls=460: a 1:4 case to controls hospital based unmatched case control study Actual sample: cases =107, controls=453 Study period: 3 months (May 16 th to Aug 15 th 2014)

Methodology: Participant recruitment Participants were recruited on a daily basis To recruit the cases, the researchers visited the postnatal wards that housed mothers who delivered infants admitted in the Newborn Unit All mothers with preterm birth within 24 hours were approached to give consent The control mothers were administered from postnatal wards From Mwingi District Hospital, 36 cases and 149 controls were sampled, while Kitui District Hospital contributed 71 cases and 304 controls.

Methodology: Ethical considerations Ethical approval given by the Kenyatta National Hospital/University of Nairobi Ethics and Research Committee (KNH/UoN-ERC)ref: P77/02/2014 Written informed consent was obtained from each potential participant before admission All the filled questionnaires were kept under lock and key by the investigator

Data collection Structured interviews with participants using a questionnaires to identify: Herbal remedy use in pregnancy Self-medication in pregnancy Data abstraction forms to extract prescription medication information from primarily from Mother and Child Booklet Research assistants had undergone a 1-day training

Data analysis Descriptive data analysis was done on socio-demographic variables. Mean and standard deviation were determined for normally distributed continuous variables Counts and percentages were used for categorical variables Logistic regression was done to determine significant medication- related risk factors for herbal remedy use, self-medication and prescription medication use Odds ratios and 95% confidence intervals were reported. p≤0.05 was considered statistically significant

Results

Age and significant baseline characteristics Maternal CharacteristicsCases n=107 (%)Controls n=453 (%)Total (%)p value Mean age [SD]25.4[7.1]24.4[5.4]25.2[5.8]0.116 Preeclampsia No97(90.7)448(98.9)545(97.3)<0.001 Yes10(9.4)5(1.1)15(2.7) Prior preterm birth, miscarriage or pregnancy termination No95(88.8)447(98.7)542(96.8)<0.001 Yes12(11.2)6(1.3)18(3.2) Housing Stone house8(7.5)45(9.9)53(9.5)0.033 Tin roof with brick wall51(47.7)272(60.0)323(57.7) Tin roof with mud wall41(38.3)114(25.2)155(27.7) Thatched house7(6.5)22(4.9)29(5.2) Previous pregnancies 036(33.6)142(31.4)178(31.8) (25.2)112(24.7)139(24.8) 218(16.8)127(28.0)145(25.9) 312(11.2)44(9.7)56(10.0) > 314(13.1)28(6.2)42(7.5) Alcohol use No96(89.7)430(94.9)526(93.9)0.043 Yes11(10.3)23(5.1)34(6.1) Residence Rural105(98.1)406(89.6)511(91.3)0.005 Urban2(1.9)47(10.4)49(8.8)

Baseline characteristics

Herbal remedy use Composite Variable Cases n=107(%) Controls n=453 (%)OR (95%CI)p-Value Herbal use, first trimester for one day1(0.9)1(0.2) 4.26( ) Herbal use, first trimester for 2-5 days19(17.8)8(1.8) 12.01( ) <0.001 Herbal use, first trimester six to 10 days8(7.5)1(0.2) 36.53( ) Herbal use, second trimester for 6-10 days9(8.4)4(0.9) 10.31( ) <0.001 Any herbal use in the first trimester28(26.2)10(2.2) 15.7( ) <0.001

Herbal remedy use

Self-medication Composite Variable Cases, n=107 (%) Controls, n=453(%)OR (95% CI)p-value Ibuprofen, third trimester for 2-5 days2(1.9)7(1.5)1.21( )0.811 Paracetamol, second trimester 2-5 days1(0.9)6(1.3)0.7( )0.745 Metronidazole, first trimester 2-5 days1(0.9)1(0.2)4.26( )0.307 Chlorpheniramine, second trimester for 2-5 days2(1.9)3(0.7)2.86( )0.253 Cough mixture, first trimester for one day2(1.9)3(0.7)2.86( )0.253 Indomethacin, second trimester for 2-5 days3(2.8)4(0.9)3.24( )0.128 Omeprazole, second trimester 2-5 days2(1.9)1(0.2)8.61( )0.08 Chlorpheniramine, first trimester for 2-5 days4(3.7)4(0.9)4.36( )0.04 Paracetamol, first trimester 2-5 days6(5.6)7(1.5)3.79( )0.019 Amoxicillin, first trimester for 2-5 days6(5.6)6(1.3)4.43( )0.011 Magnesium trisilicate, first trimester 2-5 days6(5.6)3(0.7)8.91( )0.002 Use of any self-medication in pregnancy34(31.8)48(10.6)3.93( )<0.001

Self-medication

Prescription medication use: significant variables Omeprazole 2 nd trimester for 6-10 days 3(2.8)2(0.4) 6.50( ) Amoxicillin 1 st trimester for 2-5 days 1(0.9)43(9.5) 0.09( ) Nifedipine 3 rd trimester for 6-10 days 4(3.7)1(0.2) 17.55( Enalpril 3 rd trimester for 2-5 days 4(3.7)1(0.2) 17.55( Methyl Dopa 3 rd trimester for days 5(4.7)1(0.2) 22.16( ) Magnesium Sulphate 3 rd trimester for 1 day 8(7.5)1(0.2) 36.53( ) Methyl dopa 2 nd trimester for 2-5 days 10(9.3)4(0.9) 11.57( ) <0.01 Dexamethasone 3 rd trimester for 2-5 days 10(9.3)2(0.4) 23.25( ) <0.01 Ferrous sulphate 2 nd trimester for more than 31 days 48(44.9)366(80.8) 0.19( ) <0.01 Folic acid 2 nd trimester for more than 31 days 46(43.0)366(80.8) 0.18( ) <0.01 Metronidazole 2 nd trimester for 2-5 days 10(9.3)7(1.5) 6.57( ) <0.01 Nifedipine 2 nd trimester for more than 31 days 12(11.2)3(0.7) 18.95( ) <0.01

Prescription medication use

The FDA categorization FDA category Case group n=107 (%) Control group n=543 (%)OR(95%CI)p-value A50(46.7)375(82.8)0.18( )<0.001 B47(43.9)210(46.4)0.91( )0.65 C76(71.0)270(59.6)1.66( )0.03 D11(10.3)15(3.3)3.35( )0.003

The FDA categorization

Key findings Use of herbal remedies in the first trimester was associated with increased risk for preterm birth. The longer the use of herbal remedies the higher the risk of preterm birth Self medication is a common practice and contributes to preterm birth Prescription of FDA categories C and D is associated with higher risk for preterm birth Folic acid, ferrous sulphate and management of maternal infections lowers risk of preterm birth

Recommendations Maternal education programmes should be instituted and strengthened to educate mothers on the dangers of using herbal remedies Pregnant mothers should be encouraged and enabled to consult registered medical practitioner to avoid use of medicines without a valid prescription Folic acid and ferrous supplementation should be encouraged Prescribers should also be trained on safe use of medicines in pregnancy