Study design, Area and Period
Facility based cross sectional study design was conducted in zuway dugda district from August 1, 2023 to September 30, .Zuwey Dugda district is located at 222km South East to main city of Ethiopia, Addis Ababa and 47 km away from Assela Town, capital city of Arsi Zone. Zuwey Dugda district has 157,233 populations, 32,757 households, 34,749 women of reproductive age group and 29,293 non pregnant women residing in 2 urban and 28 rural kebelse. There are 6 health centers and 32 Health posts that provide health service for the community by 58 health extension workers and 84 health workers. All health centers and health posts provide family planning service
Study population, and eligibility criteria
Sampled reproductive age group (15-49 years) of women who were attending family planning clinics at the public health facilities of Zuway dugda district during data collection were study population. The study includes all females in the reproductive age group (15-49) who were using family planning service at the selected health facilities during data collection period. Women who were seriously ill, unable to communicate, or mentally ill during the data collection period were excluded from the study.
Sampling Size Determination and sampling procedure
A single population proportion formula was used to calculate the sample size for the first objective with assumption of 75.3% the population proportion of client satisfaction obtained from previous study conducted in Hossana town public health facilities [21], 95% confidence level, 5% margin of error and a 10% non-response rate.
An additional 10% non-response rate the total sample size is becomes 315.
There are 36 public health facilities providing family planning service in Zuway Dugda District and eleven public health facilities were selected by lottery method. The number of women to be selected and interviewed in each facility was assigned proportionally for eleven facilities, based on average client load for each facility one month preceding data collection obtained from HMIS monthly report and a monthly average of 1202 clients visited the family planning unit of the eleven selected public health facilities. The study subjects were selected by simple random sampling technique. Finally the study participants were consecutively interviewed from each health facilities until the calculated sample size will be achieved
Study Variable
Dependent variable
Client satisfaction (yes/no)
Independent variable
Socio-Demographic related variables: Age, Religion, Residence, Ethnicity Marital status, Educational level, Occupation, and Income.
Reproductive health related Variables: Gravid, Parity, Abortion. Family size, unintended pregnancy, family planning information, source of information, type of family planning users, Type of family planning used, received the method requested
Health facility-related factors: Distance of health facility, waiting time, opening time convenience, working hour convenience, rooms having posters with key messages on family planning, waiting place adequate with latrine and water supply, facility cleanness
Provider –client interaction related variables: Informed about available methods, received adequate information, Get service by preferred provider, privacy, Confidentiality, Consultation time, follow-up, Explain the method, Demonstrate how to use, Method side effects explained, what to do when experienced any problem, Method changing, Pregnancy checked, STI Checked, Communication with providers, Get service with short period, Providers give good service, Counseling clear and satisfactory, Preference of provider sex
Operational definitions
Client Satisfaction: Clients’ opinion of care received from FP services. “Client satisfaction” defined as when a respondent either agreed or strongly agreed to have been satisfied with the health services received at the visited facility. In the study nineteen items related to satisfaction, on the five likert scale value ranging from 1 (very dissatisfied) to 5 (very satisfied) was used to assess study participant's satisfaction with family planning service and mean score of the satisfaction was used to dichotomize each respondent’s satisfaction score (above or equal to mean score categorized as Satisfied” and below mean score categorized as Not-satisfied”) [20]
Distance from home to service delivery point – estimated based on the time taken to reach the Family planning services facility, near if it took less or equal to 30 minutes and far if it took more than 30 minutes for clients to get the facility from home[22]
Waiting time: a minute a client had to wait before receiving Family planning service. The acceptable waiting time is less than 30 minutes, exceeding this standard was taken as unacceptable[22]
Data collection procedure and Data quality control
Data was collected by using structured questionnaires, which was adapted from different studies [7, 9, 13, 21] Data collection was carried out by six clinical nurses as data collectors and three- BSC Nurse as supervisor who has previous experience in data collection. A data collector and supervisor were recruited and trained for one day by the principal investigator about the purpose of the study and how to collect the data. The data collection process was followed by the supervisors and principal investigator on daily basis. The data was collected by face to face exit interview. The questionnaire has five parts: The first part addresses socio- demographic characteristics, the second part of the questionnaire is reproductive health related variables, the third part covers health facility-related factors, the fourth part contains provider –client interaction related variables and fifth part is client satisfaction measuring items. To minimize observational bias, the participants were well informed about the risks, benefits, confidentiality, and the right of stopping/rejecting their responses at any time during the interview.
The research questionnaire was prepared in English version and translated into local language (Afan Oromo) then retranslated to English by language expert. Before data collection, one day training was given for data collectors and supervisors by the principal investigator about the purpose of the study, data handling and how to interview the subjects. The questionnaire was pre tested on 5% (16) of the calculated sample size in nearby health facility which is preceding the actual data collection period in order to test and clarity tools and estimation of interview time. The result of this pretest study verifies clarity of the data collection tool and helps to familiarize principal investigator with the instrument and to make necessary corrections accordingly.
There was a close follow-up by supervisors and the principal investigator including observation of how data collectors were interviewed the respondents. The principal investigator and supervisors was closely monitoring the whole data collection process daily, with the provision of necessary feedback. The questionnaires filled was reviewed and checked for completeness by the supervisors and the principal investigator during the data collection day. The collected data were checked for completeness, accuracy, clarity, and consistency by the principal investigator. Any error found during the process was corrected immediately. Data coding, and verification was done before data entry. Double data entry was used to make comparisons of two data cells and resolve if there is any difference.
Data Processing and Analysis
The data were checked for completeness, consistency, cleaned, coded, entered into Epi-info version 7.2.6 and exported to statistical Package for Social Sciences (SPSS) version 25.0 for analysis. Descriptive statistics including graphs, charts, and percentage was computed to describe the data. The binary logistic regression model was used to test the association between outcome and explanatory variables. Variables that were found to be ≤ 0.25 P-value in the bivariate analysis were entered in to multivariable logistic regression model. Multi-collinearity was checked by using tolerance test. The variable without multi-collinearity was entered into multivariable model. Finally, multivariable logistic regression analysis was done to identify factors associated with client satisfaction. During multivariable analysis, model fitness was checked using the Hosmer and Lemeshow`s goodness of fitness test (p = 0.314). The strength of association was assessed by using an adjusted odds ratio (AOR) at 95% confidence interval (CI) and statistical significance was declared at P-value < 0.05.