3.1 Study design
Refer to arrangement of conditions for collection and analysis of data in a manner that aims to combine relevance to the research purpose with economy in procedure (Kothari, 2004). The study was descriptive cross-sectional design. This design is suitable for the respective study as it involves collection of data at one point in time in different healthcare facilities.
3.2. Study approaches
The study employed both the quantitative approach.
3.3 Study participants/population
The study participants were the population from which the sample is chosen and that are accessible to meet eligibility criteria to be used in the study. Study participants were non-pregnant women of child bearing age (14–45) that attended the RCH and OPD of targeted (4) HCFs in the period of data collection.
3.3.1 Inclusion criteria
Inclusion criteria/eligibility criteria used in the study was non-pregnant women of reproductive age (14–45 years) attended the RCH and OPD with vaginal symptoms (vaginal discharge, itching, burning, dyspareunia, with lower abdominal pain, and lower back pain), or attending the Family Welfare Department (FWD) for contraceptives, such as intra-uterine devices (IUD) were eligible for enrolment.
3.3.2. Exclusion criteria
Excluded from the study were those women who menstruate during the clinic visit, pregnant women, had a hysterectomy, taken a course of antibiotics during the previous three weeks, used oral contraceptive pills in the previous three months, had diabetes mellitus, HIV positive/immune-compromised, or with any severe medical disorders requiring immediate referral to a higher level of health care.
3.4 Description of Study Area
The study was conducted at Kilolo District Council, including four 4 Public Health Care Facilities in Ruaha mbuyuni and Nyanzwa wards in Kilolo, Tanzania where there is large population of Sagara and Masai tribes characterized by unhygienic behaviors of managing menstruation, main of these behavior being use of cow dung to control menstrual blood(Tamiru et al. 2015).
Kilolo district is one among the local government Authorities under President’s Office and governed by the ministry of Regional Administration and Local Government Authorities. The district was established on the year 2005 by Government announcement No. 220 after division of Iringa as mother District. Hence for the period of 1961–2005 the district of Kilolo was part of Wards and Divisions of the Iringa District.
The district is found between Latitude 70 − 8.30 degrees southern of equator line and Longitude 340–370 degrees eastern of “Greenwich” line. The district is bounded with the district of Mpwapwa (Dodoma) on the northern side, the district of Kilosa (Morogoro) on the north east side and the district of Kilombero on eastern side in Morogoro region. On the southern side is bounded with Mufindi district whereas on the western side is bounded with Iringa district.
Kilolo district has an estimated area of about 7,882 km2, an average of 86.32% of this area is suitable for agricultural activities whereby it is equal to 6803.2km2, the remaining area of about 1077.8 km2 is covered by water, animal reserves, mountains and forests.
The Kilolo district is divided into three divisions which are Kilolo, Mazombe and Mahenge. However the district has 24 ward and 94 villages, 16 streets at Ilula township authority and a total of 499 hamlets and with a total population of 218,130(Republic et al. 2013) Fig. 1 below.
3.5 Sampling frame
The sampling frame for this research consists of non-pregnant women of reproductive age (14–45 years) with RTI symptoms (vaginal discharge, itching, burning, dyspareunia, lower abdominal pain, and lower back pain) or those visiting the Family Welfare Department (FWD) for contraceptive services, such as intra-uterine devices (IUD).
3.5 Sample and sampling technique
3.5.1 Sample Size
A subset of a population (sample) selected to participate in a study was obtained from the population of non-pregnant individuals/women. Sample size as a total number of individuals required to participate in the study was obtained using the following statistical Fisher’s formula:-
N = (Z² p (1 – p)/D²
Where;
N = Total number of subjects required in the sample
Z = value for a level of confidence 95% (1.96)
P = Estimate of prevalence 16%
D = Marginal error which corresponds to the level of precision of the results desired. This study tolerated 5% (0.05)
For this study, the value for a level of confidence 95% spread limit used Z = 1.96; this value was the more preferred level of confidence for scientific comparison.
The expected proportion (P) of the study was obtained from a previous study done in public hospitals in Odisha, India. From these studies it was indicated that, 16% was the prevalence of women who had Reproductive Tract Infections (RTIs) (Baisley et al. 2009). Therefore, the expected proportion for this study is considered to be 16%.
Therefore: Z = 1.96, p = 16%, D = 0.05
Then: N = 1.96² x 0.16 (1–0.16)/0.05² = 207
Hence: The sample size in this study is 207
3.3 Study participants/population
The study participants were the population from which the sample is chosen and that are accessible to meet eligibility criteria to be used in the study. Study participants were non-pregnant women of child bearing age (14–45) that attended the RCH and OPD of targeted (4) HCFs in the period of data collection.
3.3.1 Inclusion criteria
Inclusion criteria/eligibility criteria used in the study was non-pregnant women of reproductive age (14–45 years) attended the RCH and OPD with vaginal symptoms (vaginal discharge, itching, burning, dyspareunia, with lower abdominal pain, and lower back pain), or attending the Family Welfare Department (FWD) for contraceptives, such as intra-uterine devices (IUD) were eligible for enrolment.
3.3.2. Exclusion criteria
Excluded from the study were those women who menstruate during the clinic visit, pregnant women, had a hysterectomy, taken a course of antibiotics during the previous three weeks, used oral contraceptive pills in the previous three months, had diabetes mellitus, HIV positive/immune-compromised, or with any severe medical disorders requiring immediate referral to a higher level of health care.
3.4 Description of Study Area
The study was conducted at Kilolo District Council, including four 4 Public Health Care Facilities in Ruaha mbuyuni and Nyanzwa wards in Kilolo, Tanzania where there is large population of Sagara and Masai tribes characterized by unhygienic behaviors of managing menstruation, main of these behavior being use of cow dung to control menstrual blood(Tamiru et al. 2015).
Kilolo district is one among the local government Authorities under President’s Office and governed by the ministry of Regional Administration and Local Government Authorities. The district was established on the year 2005 by Government announcement No. 220 after division of Iringa as mother District. Hence for the period of 1961–2005 the district of Kilolo was part of Wards and Divisions of the Iringa District.
The district is found between Latitude 70 − 8.30 degrees southern of equator line and Longitude 340–370 degrees eastern of “Greenwich” line. The district is bounded with the district of Mpwapwa (Dodoma) on the northern side, the district of Kilosa (Morogoro) on the north east side and the district of Kilombero on eastern side in Morogoro region. On the southern side is bounded with Mufindi district whereas on the western side is bounded with Iringa district.
Kilolo district has an estimated area of about 7,882 km2, an average of 86.32% of this area is suitable for agricultural activities whereby it is equal to 6803.2km2, the remaining area of about 1077.8 km2 is covered by water, animal reserves, mountains and forests.
The Kilolo district is divided into three divisions which are Kilolo, Mazombe and Mahenge. However the district has 24 ward and 94 villages, 16 streets at Ilula township authority and a total of 499 hamlets and with a total population of 218,130(Republic et al. 2013) Fig. 1 below.
3.5 Sampling frame
The sampling frame for this research consists of non-pregnant women of reproductive age (14–45 years) with RTI symptoms (vaginal discharge, itching, burning, dyspareunia, lower abdominal pain, and lower back pain) or those visiting the Family Welfare Department (FWD) for contraceptive services, such as intra-uterine devices (IUD).
3.5 Sample and sampling technique
3.5.1 Sample Size
A subset of a population (sample) selected to participate in a study was obtained from the population of non-pregnant individuals/women. Sample size as a total number of individuals required to participate in the study was obtained using the following statistical Fisher’s formula:-
N = (Z² p (1 – p)/D²
Where;
N = Total number of subjects required in the sample
Z = value for a level of confidence 95% (1.96)
P = Estimate of prevalence 16%
D = Marginal error which corresponds to the level of precision of the results desired. This study tolerated 5% (0.05)
For this study, the value for a level of confidence 95% spread limit used Z = 1.96; this value was the more preferred level of confidence for scientific comparison.
The expected proportion (P) of the study was obtained from a previous study done in public hospitals in Odisha, India. From these studies it was indicated that, 16% was the prevalence of women who had Reproductive Tract Infections (RTIs) (Baisley et al. 2009). Therefore, the expected proportion for this study is considered to be 16%.
Therefore: Z = 1.96, p = 16%, D = 0.05
Then: N = 1.96² x 0.16 (1–0.16)/0.05² = 207
Hence: The sample size in this study is 207
Therefore: Z = 1.96, p = 16%, D = 0.05
Then: N = 1.96² x 0.16 (1–0.16)/0.05² = 207
3.5.2 Sampling technique
The sampling technique used in this study was a combination of Purposive and Convenience sampling methods.
First, purposive sampling was used to select the 4 health facilities of Ruaha mbuyuni and Nyanzwa Dispensaries as well as Ruaha mbuyuni and Mtandika Health Centres in Nyanzawa and Ruaha Mbuyuni wards where there is large population of Sagara and Masai tribes characterized by unhygienic behaviors of managing menstruation, main of these behavior being use of cow dung to control menstrual blood. Then researcher introduced the study to eligible participants who were already seeking medical care or contraceptive services at the healthcare facilities. From this pool of individuals, participants were conveniently selected, and their consent was obtained.
Next, the selected participants underwent clinical diagnosis in the doctor's room and later on proceeded with the laboratory procedures for further diagnosis of possible Reproductive Tract Infections (RTIs). After the confirmatory diagnosis, the respondents were categorized as either positive or negative for RTIs. They were then provided with a special coded questionnaire labeled "A" or "B," respectively. This questionnaire aimed to retrospectively investigate their Menstrual Hygiene Management (MHM) practices.
3.6 Study variables
3.6.1 Dependent variable
Dependent variable of this study was prevalence of Reproductive Tract Infections (RTIs).
3.6.2 Independent variables
Independent variable in this study was menstrual hygiene management practices.
3.7 Data collection methods
3.7.1 Data collection tools
Data for this study were collected in 4 chosen healthcare facilities at Kilolo, Tanzania; the researcher provided a well written, structured self-administered questionnaire with closed-ended questions to participants to obtain/collect information about potential risk factors for the two infections. For those who wished to participate in research but were not able to write due to various reasons, researcher was there to administer questionnaires and help them so as to get appropriate data as needed to be given by respondents.
Further data were collected through medical laboratory equipment like High Vaginal Swab (HVS) and then further processed to provide the necessary required information.
3.7.2 Data collection procedures and instruments
The research data were collected using simple structured questionnaire that were filled by participants themselves. The Swahili structured questionnaires were also used for those who do not understand English language. This helped to ensure that, data to be collected are accurate. Also, vaginal specimens from the posterior vaginal fornix were collected using two High Vaginal Swabs (HVS) then labeled. After labeling, all materials (slides and swabs) were immediately temporally stored in a sterile container or processed by using a local laboratory for preservation and subsequent diagnosis. Diagnosis of BV and Candida was done through locally available microscopic examinations procedures.
3.8 Data analysis and presentation
All the data collected by this study were analyzed by using powerful statistical software platform (a computer program packages for data analysis) that is Statistical Package for the Social Sciences (SPSS). Descriptive statistics was done later; frequency distribution table be used to display the results. Chi-square test was used to asses association between variable and p-value of less than 0.05 was considered as statistically significant, cross-tabulation was done to show association between variable.
3.9 Ethical consideration
Ethical clearance was obtained from RUCU Research and Publication Committee. The research permission to conduct this study was obtained from Environmental Health Science department of Ruaha Catholic University (RUCU) as well as from the health department of Kilolo district council.
Eligible women for the study were informed on the purpose of study, and then included in the study after giving verbal and written consent. Diagnostic and other participants’ information were confidentially maintained/managed using codes instead of names during filling of some of their information.