ANNUAL HEALTH BULLETIN 2004 - Ministry of Health

Complied
by: Dr. K.C Buragohain, JDWNRH, RHU
Mr. Sonam Wangdi,APO,RH
The programme would like to extend our gratitude for the guidance, help and co-operation from the
following officers and staff at different stages of this study.
1. DMOIDHSO Trashigang,Sarpang, and Punakha Dzongkhag
2. HAJANM/BHW- Kanglung, Norbuling and Kabesa BHUs
This report would not have been possible without the untiring efforts of the trainees and facilitators
of RH training conducted at Kanglung BHU, Gaylegphug NMCP training center and Punakha
hospital
Contraceptive prevalence rate and fertility rates are two critical indicators of quality of family
planning services provided to the communities. In many of the Health facilities there was an
observed lack of understanding about source of information and estimation of these indicators.
The RH training of the trainers in three regions- Kanglung for eastern region, Geylegphug for Central
region and Punakha for western region provided good opportunity to train the trainers as a part of the
training. It was felt tlult the same training CQu14be carri~ out when district level training is taken up
in respective district.
1. To train the participants on how to estimate Contraceptive Prevalence Rate and Fertility Rate.
2. To estimate Contraceptive Prevalence Rate and method use in these gewogs
3. To find out the common problems faced by the women while using the family planning
methods and reasons for not using.
At the time of the training it was not possible to visit each and every household in the areas of the
BHUs located in those gewogs. To make the study statistically significant for the areas the strategy of
thirty clusters randomized sample survey was adopted. Each household was considered to be a unit.
The households were arbitrarily numbered from the village household information available in the
BHUs of the area. The first household in each cluster was selected randomly and continued with next
nearest house till required numbers of women were interviewed. Seven women ofreprodYctive age
(15-49 years of age) from each cluster were interviewed for collection of information.
Standard tools to collect information was developed which contained information on total