Childbirth self-efficacy inventory in Tanzania : a pilot study

Background. To give birth can be a stressful experience and women cope with thisstress in many different ways and have different personal outcomes. Self-efficacy orconfidence in ability to cope with labour can be considered as an important factoraffecting pregnant women’s motivation of normal childbirth and their interpretation ofthe childbirth event.The aim. The purpose of this study was to test the Chinese short form of theinstrument Childbirth self-efficacy instrument (CBSEI) in Tanzania, that measurepregnant women’s self-confidence and coping abilities during childbirth.Method. The Chinese short form of the CBSEI was used to pilot test the pregnantwomen’s confidence of childbirth to see if the questions were understood in theTanzanian culture. Besides this instrument socio-demographic data was collectedtogether with two open questions asking about attitudes and experiences of childbirth.The instrument was translated into Kiswahili. A sample of 60 pregnant women whowere visiting antenatal clinic (ANC) regularly were asked to participate and with helpfrom midwifes at two ANC places the questionnaires were filled out.Result. The result shows that the validity and reliability of the two subscales OE-16and EE-16 were established. The internal consistency reliability of the two subscaleswere high, suggesting that each of the subscale mean score provides a good overviewof self- reported belief in coping ability for childbirth.The results further show that the instrument, CBSEI in this pilot study is not able toidentify women who need extra support during childbirth.Conclusion. The reliability and validity of information presented in this pilot studysupport the use of the Chinese short form of the CBSEI as a research instrument in theTanzania culture. Further studies are recommended to get a wider understandingabout women’s coping abilities in a culture like Tanzania.

INVENTORY CONTROL SYSTEM : Optimization of production system and reliability

The main idea of this research to solve the problem of inventory management for the paper industry SPM PVT limited. The aim of this research was to find a methodology by which the inventory of raw material could be kept at minimum level by means of buffer stock level.The main objective then lies in finding the minimum level of buffer stock according to daily consumption of raw material, finding the Economic Order Quantity (EOQ) reorders point and how much order will be placed in a year to control the shortage of raw material.In this project, we discuss continuous review model (Deterministic EOQ models) that includes the probabilistic demand directly in the formulation. According to the formula, we see the reorder point and the order up to model. The problem was tackled mathematically as well as simulation modeling was used where mathematically tractable solution was not possible.The simulation modeling was done by Awesim software for developing the simulation network. This simulation network has the ability to predict the buffer stock level based on variable consumption of raw material and lead-time. The data collection for this simulation network is taken from the industrial engineering personnel and the departmental studies of the concerned factory. At the end, we find the optimum level of order quantity, reorder point and order days.