# Patient Satisfaction and Associated Factors among Outpatient Health Service Users at Primary Hospitals of North Gondar, Northwest Ethiopia, 2016

Authors: Gojjam Eshetie; Amsalu Feleke; Muluken Genetu
Journal: Advances in Public Health
 (2020)

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## Abstract

Introduction. Patient satisfaction with seeking health services is considered as one of the necessary outcomes of health system and measures of health service quality which is directly linked with utilization of the services. The results of this study were crucial and identified important findings for intervention by decision makers on critical need for patient satisfaction improvement as well as to provide evidence for stakeholders in improving quality of outpatient services. This study was aimed at assessing patient satisfaction and associated factors among outpatient health service users at primary hospitals of North Gondar, Northwest Ethiopia. Methods. Facility based cross-sectional study design was conducted in North Gondar from February to March, 2016, among outpatient health service users. Systematic sampling technique was used to get a total of 413 samples. A pretested structured interviewer administered questionnaire was used for data collection. The data were entered to Epi Info version 3.5.1 and exported to SPSS version 20 for analysis. Bivariable and multivariable logistic regression analysis were used to control cofounders and variables with p-value less than 0.05 at 95% CI were considered as significant. Result. This study showed that the overall patient satisfaction was found to be 56.1% at 95% CI (51.0–61.3). Out of all respondents, 218 (53.45%) were males and 130 (31.9%) of respondents were in the age group of ≥45 years. Availability of drugs within the hospitals, patient waiting time at registration room, waiting time to see a doctor after registration, and consulting on treatment options were found to be significantly associated with patient satisfaction. Conclusion. The overall patient satisfaction at North Gondar primary hospitals was rated low as compared to national figures. Hospital management bodies and health care service providers should give attention to improvement of drugs availability and reducing waiting time at registration room and the time length to see a doctor after registration in order to improve patients’ satisfaction.


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## Body

## 1. Introduction

Patient satisfaction is the level of service satisfaction that patients experience from having used a health service from a health facility. The quality assurance and accreditation process in most countries requires that the service satisfaction of patients be measured on a regular basis [1]. As a result patient feedback is important to identify problems from health services that need to be resolved in improving patient satisfaction [2].Patient satisfaction with seeking health services is considered as one of the necessary outcomes of health systems and a measure of health service quality which is directly linked with utilization of the services. Asking patients for what they think about the health service and treatment they have received is an important step for improving the quality of service and for assuring that local health service deliveries are meeting patients’ service needs [3]. Therefore, patient satisfaction with a service is a primary indicator of measuring the effectiveness of health care delivery [4].According to World Health Organization (WHO) 2000 report, health systems have to be responsive to the health needs of the patient and the community. The major beneficiaries of a good healthcare system are clearly patients. Actually, it is difficult to measure patients’ satisfaction and responsiveness of health systems directly. It importantly depends on the clinical outcomes of patients from health care treatment received [5].The Ethiopian Federal Ministry of Health (FMOH) has been implementing health sector development program (HSDP). It is a 20-year plan which was encouraging improvements in the coverage and utilization of the services over the periods of implementation of the health sector development program (HSDP). But, there was still a gap in access and quality of services provided to communities [6].Studies have been done on this area and pointed out that the levels of patients’ satisfaction with health services in different countries of the world vary. A study conducted on patients’ satisfaction with services obtained from a Tertiary Care Hospital in Rural Haryana reported 89.1% patient satisfaction level. However, 20.7% and 13.0% of the patients were dissatisfied with the organization’s care and cost of care provided, respectively [7].Evaluation of patients’ satisfaction with quality of care provided at the National Health Insurance Scheme clinic of a tertiary hospital in south-eastern Nigeria indicated 66.8% patient satisfaction level. But patients who were dissatisfied with the hospital’s bureaucracy were 48.8% and with patient waiting time were 48.3% [8].In Ethiopia, various studies showed that the levels of patients’ satisfaction with health services were found different in different studies. Studies conducted on outpatient services patient satisfaction in Gondar and Jimma hospitals showed 22% and 57% satisfaction levels, respectively [9, 10]. Another study conducted at Jimma specialized hospital indicated 77% overall client satisfaction level [11].Even if different strategies are undertaken to improve the quality of health care service delivery, there is high level of patients’ dissatisfaction estimates made in Ethiopia (ranging from 22% to 77%). That was why the main aim of conducting this study was to determine the level of patients’ satisfaction at outpatient health services delivery level and identify factors significant with patient satisfaction in North Gondar zonal administration.Therefore, this study provided evidence-based results to improve health service delivery and help to fill gaps which ultimately contribute to enhancing patient satisfaction within the primary hospitals in North Gondar.


## 2. Materials and Methods

### 2.1. Study Design and Setting

A facility based cross-sectional study design was conducted at primary hospitals of North Gondar, from February 29 to March 28, 2016.There were six primary hospitals in North Gondar with a catchment population size of about 3.1 million people. According to the data obtained from the hospitals, the annual cases seen as outpatient service users at an average level were 42,354 [12].


### 2.2. Population

All patients visiting hospitals for seeking outpatient department (OPD) health services were source population of the study while all patients visiting OPDs to get health care services during the data collection period were the study population.


### 2.3. Eligibility Criteria

All patients of all ages (for children with their attendants) who were presented to OPDs to get health services were included in the study, but from these, patients who were in the condition of very seriously ill and with no attendants and unable to communicate were excluded from the study.


### 2.4. Sample Size Determination and Sampling Procedures

By considering the following assumptions, the sample size (n) of this study was determined using single population formula. A proportion of patient satisfaction of 57.7% [4], expected margin of error (d) 5% at 95% confidence interval, and 10% nonresponse rate were used.(1)Thusn=Zα/22×P1−Pd2,n=1.962×0.5770.4230.052=375,n=375+0.1×375=413samples.Using Epi Info version 7 double population proportion formula for three factors from previous studies, sample sizes were determined but the results were less than the above sample size, and the final sample size of this study used for data collection was 413.Samples were accessed for data collectionn after the total sample size was proportionally allocated to each primary hospital; based on the average monthly outpatient flow to their internal medicine outpatient department, we took the last year the same month outpatient flow from the log book at each OPD as the baseline for estimating OPDs patient flow. Then, systematic sampling was used to access each participant from each primary hospital. K-value was taken as 9 and the samples for each hospital were proportionally allocated systematic sampling at K-value 9, which was applied for all hospitals (Figure 1).Figure 1
Schematic representation of sampling procedures for patient satisfaction and associated factors at primary hospitals of North Gondar, Ethiopia.


### 2.5. Study Variables

Level of patient satisfaction (yes/no) was the dependent variable of the study. Independent variables of this study were the following: sociodemographic factors: age, sex, marital status, educational status, occupation, residence, payment status (free/paying), etc.; communication with doctors/nurse: respect and good behavior, getting privacy, being understandable, punctuality, and perceived capacity; organization factors: physical environment: condition of service delivery room, availability of sign and direction indicators, access to water, latrine, and hand washing facility; medication provision: description of side effects of drug, pain control, and availability of drugs; waiting time: registration services, time to receive drug, and time to see a doctor; and convenience of service [3, 4, 7, 9, 13].


### 2.6. Data Collection Procedures, Quality Assurance, and Data Analysis

Patient satisfaction was measured by using the four components of patient satisfaction (acknowledgement, support, accept, and prepare to act (ASAP)) (WHO, 2006); each one of the components were measured with items (4 items for acknowledgement, support, and accept; 3 items for prepare to act). Scores for each component were computed out of 100 and then categorized as “satisfied” for the computed results of 75% and above; otherwise, scores were categorized as “dissatisfied” for each of the first three components of patient satisfaction; and 67% and above for the fourth component was used as “satisfied.” Then the overall patient satisfaction considered patients who were satisfied with all the components [14, 15].Data was collected using pretested structured interviewer administered questionnaire through exit interview. The questionnaire was adapted from related literatures with slight modification made with the objective of this particular study. Before the actual data collection, two B.S. nurse data collectors were recruited. Training was given on the basic techniques of interviewing to facilitate data collection. They practiced pretesting of the questionnaire after their training. Pretesting of the questionnaire was made before the actual data collection to ensure the acceptability and understandability by the participants at Gondar specialized hospital. Based on the result, no modification was made.The English questionnaires were translated to Amharic (local language) for ease of communication during interview. The questionnaire was pretested prior to the actual data collection and appropriate minor modification was made. Regular supervision and reviewing of the completed questionnaire were carried out daily by the principal investigator.Data were checked, cleaned for completeness and accuracy, entered into Epi Info version 3.5.1, and then exported and analyzed using SPSS version 20.Descriptive statistics was used for the study variables to describe most of the findings. Bivariate logistic regression analysis was done and variables withp-value less than 0.25 were included in multivariate logistic regressions analysis to control confounder and identify the most significant predictor of outcome variables.


### 2.7. Ethical Considerations

The ethical approval and clearance for the study before data collection were obtained from University of Gondar. Written consent and assent was provided to respondents according to their age. To ensure privacy and confidentiality, the exit interview was conducted where questions and answers cannot be overheard (separate rooms prepared). The participants were also informed that the information obtained from them would not be disclosed to the third person/body. Name and other identifying information was not used in the data collection.


## 2.1. Study Design and Setting

A facility based cross-sectional study design was conducted at primary hospitals of North Gondar, from February 29 to March 28, 2016.There were six primary hospitals in North Gondar with a catchment population size of about 3.1 million people. According to the data obtained from the hospitals, the annual cases seen as outpatient service users at an average level were 42,354 [12].


## 2.2. Population

All patients visiting hospitals for seeking outpatient department (OPD) health services were source population of the study while all patients visiting OPDs to get health care services during the data collection period were the study population.


## 2.3. Eligibility Criteria

All patients of all ages (for children with their attendants) who were presented to OPDs to get health services were included in the study, but from these, patients who were in the condition of very seriously ill and with no attendants and unable to communicate were excluded from the study.


## 2.4. Sample Size Determination and Sampling Procedures

By considering the following assumptions, the sample size (n) of this study was determined using single population formula. A proportion of patient satisfaction of 57.7% [4], expected margin of error (d) 5% at 95% confidence interval, and 10% nonresponse rate were used.(1)Thusn=Zα/22×P1−Pd2,n=1.962×0.5770.4230.052=375,n=375+0.1×375=413samples.Using Epi Info version 7 double population proportion formula for three factors from previous studies, sample sizes were determined but the results were less than the above sample size, and the final sample size of this study used for data collection was 413.Samples were accessed for data collectionn after the total sample size was proportionally allocated to each primary hospital; based on the average monthly outpatient flow to their internal medicine outpatient department, we took the last year the same month outpatient flow from the log book at each OPD as the baseline for estimating OPDs patient flow. Then, systematic sampling was used to access each participant from each primary hospital. K-value was taken as 9 and the samples for each hospital were proportionally allocated systematic sampling at K-value 9, which was applied for all hospitals (Figure 1).Figure 1
Schematic representation of sampling procedures for patient satisfaction and associated factors at primary hospitals of North Gondar, Ethiopia.


## 2.5. Study Variables

Level of patient satisfaction (yes/no) was the dependent variable of the study. Independent variables of this study were the following: sociodemographic factors: age, sex, marital status, educational status, occupation, residence, payment status (free/paying), etc.; communication with doctors/nurse: respect and good behavior, getting privacy, being understandable, punctuality, and perceived capacity; organization factors: physical environment: condition of service delivery room, availability of sign and direction indicators, access to water, latrine, and hand washing facility; medication provision: description of side effects of drug, pain control, and availability of drugs; waiting time: registration services, time to receive drug, and time to see a doctor; and convenience of service [3, 4, 7, 9, 13].


## 2.6. Data Collection Procedures, Quality Assurance, and Data Analysis

Patient satisfaction was measured by using the four components of patient satisfaction (acknowledgement, support, accept, and prepare to act (ASAP)) (WHO, 2006); each one of the components were measured with items (4 items for acknowledgement, support, and accept; 3 items for prepare to act). Scores for each component were computed out of 100 and then categorized as “satisfied” for the computed results of 75% and above; otherwise, scores were categorized as “dissatisfied” for each of the first three components of patient satisfaction; and 67% and above for the fourth component was used as “satisfied.” Then the overall patient satisfaction considered patients who were satisfied with all the components [14, 15].Data was collected using pretested structured interviewer administered questionnaire through exit interview. The questionnaire was adapted from related literatures with slight modification made with the objective of this particular study. Before the actual data collection, two B.S. nurse data collectors were recruited. Training was given on the basic techniques of interviewing to facilitate data collection. They practiced pretesting of the questionnaire after their training. Pretesting of the questionnaire was made before the actual data collection to ensure the acceptability and understandability by the participants at Gondar specialized hospital. Based on the result, no modification was made.The English questionnaires were translated to Amharic (local language) for ease of communication during interview. The questionnaire was pretested prior to the actual data collection and appropriate minor modification was made. Regular supervision and reviewing of the completed questionnaire were carried out daily by the principal investigator.Data were checked, cleaned for completeness and accuracy, entered into Epi Info version 3.5.1, and then exported and analyzed using SPSS version 20.Descriptive statistics was used for the study variables to describe most of the findings. Bivariate logistic regression analysis was done and variables withp-value less than 0.25 were included in multivariate logistic regressions analysis to control confounder and identify the most significant predictor of outcome variables.


## 2.7. Ethical Considerations

The ethical approval and clearance for the study before data collection were obtained from University of Gondar. Written consent and assent was provided to respondents according to their age. To ensure privacy and confidentiality, the exit interview was conducted where questions and answers cannot be overheard (separate rooms prepared). The participants were also informed that the information obtained from them would not be disclosed to the third person/body. Name and other identifying information was not used in the data collection.


## 3. Result

### 3.1. Sociodemographic Characteristics of the Respondents

Among the total sample size (413), four hundred and eight patients were exit-interviewed, giving a response rate of 98.8%. The age range of respondents was from 3 to 80 years with the mean age of 36.3 years. Out of the study subjects, 53.4% were males. Majority of the respondents, 364 (89.2%), were Orthodox in religion. Majority of the study participants (47.5%) were married. Majority of the respondents, 346 (84.8%), were paying for health services (Table1).Table 1
Sociodemographic characteristics of the respondents in North Gondar primary hospitals, 2016 (n = 408).
VariablesCategoryFrequency (n)Percentage (%)SexMale21853.4Female19046.6Age<15 years266.415–24 years7718.925–34 years10124.835–44 years7418.1≥45 years13031.9ReligionOrthodox36489.2Muslim399.6Others51.2EthnicityAmhara38995.3Tigray143.5Kimant51.2Marital statusSingle15137Married19447.5Divorced379.1Widowed266.4Educational statusUnable to read and write13232.4Grades 1–610225Grades 7–1210425.5Diploma and above7017.2OccupationGovernment employee7718.9Merchant5714Farmer14635.8No job368.8Student5012.3Others4210.3ResidenceUrban20550.2Rural20349.8Payment statusPaying34684.8Free6215.2Reason for visitIllness40499Family planning30.7Others10.2Frequency of visitNew20349.8Repeat20550.2Family monthly income<1200 birr22454.91200–2200 birr8019.62201–3200 birr8320.3>3200 birr215.1


### 3.2. Pattern of Organizational Factors and Communication with Doctors/Nurses

Among the total respondents, 208 (51%) respondents were satisfied by communication with their doctors while 220 (53.9%) were dissatisfied by communication with nurses. Majority of the respondents, 233 (57.1%), were dissatisfied with physical environment of the hospitals and 254 (62.3%) were dissatisfied with medication provision. Two hundred and forty-two (59.3%) of the respondents were reported to have got all the prescribed drugs from the hospital pharmacy. Majority of the respondents (55.9%) were registered timely and 221 (54.2%) waited 1-2 hours to see a doctor after registration (Table2).Table 2
Patient responses for organizational factors among outpatient health service users in North Gondar, Ethiopia, 2016 (n = 408).
VariablesCategoryFrequency (n)Percentage (%)Satisfied with communication with doctorsYes20851No20049Satisfied with communication with nurseYes18846.1No22053.9Satisfied with physical environmentYes17542.9No23357.1Satisfied with medication provisionYes15437.7No25462.3Availability of prescribed drugsAll24259.3Some13633.3None307.4Registration process was done timelyYes22855.9No18044.1Waiting time to be seen by doctor<1 hour8621.11-2 hour22154.2>2 hour10124.8Waiting time for receiving drugsLong6916.9Fair23758.1Short10225Satisfied with overall waiting timeYes21151.7No19748.3Consulting on treatment optionsYes20951.2No19948.8


### 3.3. Determining Patient Satisfaction

Overall patient satisfaction with outpatient health care services delivery in this study was 56.1% (95% CI: 51–61.3%) computed from components of patient satisfaction measuring items (Figure2).Figure 2
Patient satisfaction for outpatient health service users in North Gondar, Ethiopia, 2016 (n = 408).


### 3.4. Factors Associated with Patient Satisfaction in North Gondar Primary Hospitals

In binary logistic regression, eight variables were identified atp-value less than 0.25 to be fitted for multivariable logistics regression. These variables were marital status, communication with doctor/nurse, physical environment, medication provision, drug availability, waiting time at registration and waiting time to see a doctor, and convenience.In multivariable logistic regression, availability of drug (AOR: 0.15, 95% CI: 0.061–0.365), waiting time at registration process (AOR: 0.052, 95% CI: 0.023–0.116), waiting time to see a doctor after registration of 1-2 hours (AOR: 0.266, 95% CI: 0.075–0.942), and greater than two hours (AOR: 0.015, 95% CI: 0.003–0.091) were statically significantly associated with patient satisfaction.Those patients who have got some of the prescribed drugs reduced the odds of patient satisfaction by 85% when compared to patients who have got all drugs (AOR: 0.15, 95% CI: 0.061–0.365). Those patients whose registration process was not done timely reduced the odds of patient satisfaction by 95% when compared to patients who registered timely (AOR: 0.052, 95% CI: 0.023–0.116). Those patients waiting 1-2 hours to see a doctor reduced the odds of patient satisfaction by 73% when compared to patients waiting less than one hour (AOR: 0.266, 95% CI: 0.075–0.942). In addition, those patients waiting time greater than two hours to see a doctor reduced the odds of patient satisfaction by 98% when compared to patients waiting less than one hour to see a doctor (AOR: 0.015, 95% CI: 0.003–0.091) (Table3).Table 3
Bivariable and multivariable analysis of factors affecting patient satisfaction in North Gondar, Northwest Ethiopia, 2016 (n = 408).
VariablesCategoryPatient satisfactionOR at 95% CISatisfiedn (%)Dissatisfiedn (%)CORAORMarital statusSingle87 (57.6)64 (42.4)11Married113 (58.2)81 (41.8)1.06 (0.667–1.579)0.981 (0.439–2.192)Divorced14 (37.8)23 (62.2)0.448 (0.214–0.9)∗0.346 (0.08–1.40)Widowed15 (57.7)11 (42.3)1.003 (0.43–2.33)0.379 (0.09–1.60)Communication with doctorsYes161 (77.4)47 (22.6)11No68 (34)132 (66)0.15 (0.09–0.23)∗∗0.44 (0.17–1.13)Communication with nursesYes152 (80.9)36 (19.1)11No77 (35)143 (65)0.128 (0.081–0.201)∗∗0.39 (0.13–1.22)Physical environmentYes143 (81.7)32 (18.3)11No86 (36.9)147 (63.1)0.131 (0.082–0.209)∗∗1.019 (0.389–2.673)Provision of medicationYes125 (85.2)29 (18.8)11No104 (40.9)150 (59.1)0.161 (0.1–0.259)∗∗3.0 (1.001–8.987)Drug availabilityAll192 (79.3)50 (20.7)11Some34 (25)102 (75)0.087 (0.053–0.143)∗∗0.15 (0.061–0.365)∗∗None3 (10)27 (90)0.029 (0.008–0.099)∗∗0.148 (0.02–1.089)Registration process was done timelyYes199 (87.3)29 (12.7)11No30 (16.7)150 (83.3)0.029 (0.017–0.051)∗∗0.052 (0.023–1.116)Waiting time to see a doctor after registration<1 hour81 (94.2)5 (5.8)111-2 hours141 (63.8)80 (36.2)0.109 (0.042–0.28)∗∗0.266 (0.075–0.942)∗>2 hours7 (6.9)94 (93.1)0.005 (0.001–0.015)∗∗0.015 (0.003–0.091)∗∗Consulting on treatment optionsYes174 (83.3)35 (16.7)11No55 (27.6)144 (72.2)0.077 (0.048–0.124)∗∗0.502 (0.177–0.725)∗∗p<0.001, ∗p<0.05, COR= crude odds ratio, AOR = adjusted odds ratio, and 95% CI = 95% confidence interval.


## 3.1. Sociodemographic Characteristics of the Respondents

Among the total sample size (413), four hundred and eight patients were exit-interviewed, giving a response rate of 98.8%. The age range of respondents was from 3 to 80 years with the mean age of 36.3 years. Out of the study subjects, 53.4% were males. Majority of the respondents, 364 (89.2%), were Orthodox in religion. Majority of the study participants (47.5%) were married. Majority of the respondents, 346 (84.8%), were paying for health services (Table1).Table 1
Sociodemographic characteristics of the respondents in North Gondar primary hospitals, 2016 (n = 408).
VariablesCategoryFrequency (n)Percentage (%)SexMale21853.4Female19046.6Age<15 years266.415–24 years7718.925–34 years10124.835–44 years7418.1≥45 years13031.9ReligionOrthodox36489.2Muslim399.6Others51.2EthnicityAmhara38995.3Tigray143.5Kimant51.2Marital statusSingle15137Married19447.5Divorced379.1Widowed266.4Educational statusUnable to read and write13232.4Grades 1–610225Grades 7–1210425.5Diploma and above7017.2OccupationGovernment employee7718.9Merchant5714Farmer14635.8No job368.8Student5012.3Others4210.3ResidenceUrban20550.2Rural20349.8Payment statusPaying34684.8Free6215.2Reason for visitIllness40499Family planning30.7Others10.2Frequency of visitNew20349.8Repeat20550.2Family monthly income<1200 birr22454.91200–2200 birr8019.62201–3200 birr8320.3>3200 birr215.1


## 3.2. Pattern of Organizational Factors and Communication with Doctors/Nurses

Among the total respondents, 208 (51%) respondents were satisfied by communication with their doctors while 220 (53.9%) were dissatisfied by communication with nurses. Majority of the respondents, 233 (57.1%), were dissatisfied with physical environment of the hospitals and 254 (62.3%) were dissatisfied with medication provision. Two hundred and forty-two (59.3%) of the respondents were reported to have got all the prescribed drugs from the hospital pharmacy. Majority of the respondents (55.9%) were registered timely and 221 (54.2%) waited 1-2 hours to see a doctor after registration (Table2).Table 2
Patient responses for organizational factors among outpatient health service users in North Gondar, Ethiopia, 2016 (n = 408).
VariablesCategoryFrequency (n)Percentage (%)Satisfied with communication with doctorsYes20851No20049Satisfied with communication with nurseYes18846.1No22053.9Satisfied with physical environmentYes17542.9No23357.1Satisfied with medication provisionYes15437.7No25462.3Availability of prescribed drugsAll24259.3Some13633.3None307.4Registration process was done timelyYes22855.9No18044.1Waiting time to be seen by doctor<1 hour8621.11-2 hour22154.2>2 hour10124.8Waiting time for receiving drugsLong6916.9Fair23758.1Short10225Satisfied with overall waiting timeYes21151.7No19748.3Consulting on treatment optionsYes20951.2No19948.8


## 3.3. Determining Patient Satisfaction

Overall patient satisfaction with outpatient health care services delivery in this study was 56.1% (95% CI: 51–61.3%) computed from components of patient satisfaction measuring items (Figure2).Figure 2
Patient satisfaction for outpatient health service users in North Gondar, Ethiopia, 2016 (n = 408).


## 3.4. Factors Associated with Patient Satisfaction in North Gondar Primary Hospitals

In binary logistic regression, eight variables were identified atp-value less than 0.25 to be fitted for multivariable logistics regression. These variables were marital status, communication with doctor/nurse, physical environment, medication provision, drug availability, waiting time at registration and waiting time to see a doctor, and convenience.In multivariable logistic regression, availability of drug (AOR: 0.15, 95% CI: 0.061–0.365), waiting time at registration process (AOR: 0.052, 95% CI: 0.023–0.116), waiting time to see a doctor after registration of 1-2 hours (AOR: 0.266, 95% CI: 0.075–0.942), and greater than two hours (AOR: 0.015, 95% CI: 0.003–0.091) were statically significantly associated with patient satisfaction.Those patients who have got some of the prescribed drugs reduced the odds of patient satisfaction by 85% when compared to patients who have got all drugs (AOR: 0.15, 95% CI: 0.061–0.365). Those patients whose registration process was not done timely reduced the odds of patient satisfaction by 95% when compared to patients who registered timely (AOR: 0.052, 95% CI: 0.023–0.116). Those patients waiting 1-2 hours to see a doctor reduced the odds of patient satisfaction by 73% when compared to patients waiting less than one hour (AOR: 0.266, 95% CI: 0.075–0.942). In addition, those patients waiting time greater than two hours to see a doctor reduced the odds of patient satisfaction by 98% when compared to patients waiting less than one hour to see a doctor (AOR: 0.015, 95% CI: 0.003–0.091) (Table3).Table 3
Bivariable and multivariable analysis of factors affecting patient satisfaction in North Gondar, Northwest Ethiopia, 2016 (n = 408).
VariablesCategoryPatient satisfactionOR at 95% CISatisfiedn (%)Dissatisfiedn (%)CORAORMarital statusSingle87 (57.6)64 (42.4)11Married113 (58.2)81 (41.8)1.06 (0.667–1.579)0.981 (0.439–2.192)Divorced14 (37.8)23 (62.2)0.448 (0.214–0.9)∗0.346 (0.08–1.40)Widowed15 (57.7)11 (42.3)1.003 (0.43–2.33)0.379 (0.09–1.60)Communication with doctorsYes161 (77.4)47 (22.6)11No68 (34)132 (66)0.15 (0.09–0.23)∗∗0.44 (0.17–1.13)Communication with nursesYes152 (80.9)36 (19.1)11No77 (35)143 (65)0.128 (0.081–0.201)∗∗0.39 (0.13–1.22)Physical environmentYes143 (81.7)32 (18.3)11No86 (36.9)147 (63.1)0.131 (0.082–0.209)∗∗1.019 (0.389–2.673)Provision of medicationYes125 (85.2)29 (18.8)11No104 (40.9)150 (59.1)0.161 (0.1–0.259)∗∗3.0 (1.001–8.987)Drug availabilityAll192 (79.3)50 (20.7)11Some34 (25)102 (75)0.087 (0.053–0.143)∗∗0.15 (0.061–0.365)∗∗None3 (10)27 (90)0.029 (0.008–0.099)∗∗0.148 (0.02–1.089)Registration process was done timelyYes199 (87.3)29 (12.7)11No30 (16.7)150 (83.3)0.029 (0.017–0.051)∗∗0.052 (0.023–1.116)Waiting time to see a doctor after registration<1 hour81 (94.2)5 (5.8)111-2 hours141 (63.8)80 (36.2)0.109 (0.042–0.28)∗∗0.266 (0.075–0.942)∗>2 hours7 (6.9)94 (93.1)0.005 (0.001–0.015)∗∗0.015 (0.003–0.091)∗∗Consulting on treatment optionsYes174 (83.3)35 (16.7)11No55 (27.6)144 (72.2)0.077 (0.048–0.124)∗∗0.502 (0.177–0.725)∗∗p<0.001, ∗p<0.05, COR= crude odds ratio, AOR = adjusted odds ratio, and 95% CI = 95% confidence interval.


## 4. Discussion

This study has revealed that the satisfaction level with the outpatient services in North Gondar primary hospitals was low (56.1%) when compared to the Ethiopian FMOH 2013/2014 annual performance report of patient satisfaction (77%); to the report of the studies conducted in Jimma specialized hospital (77%), Turkey (70%), and Trinidad and Tobago (74%) [11, 16, 17], respectively. On the other hand, this study showed higher level of satisfaction than study conducted at Tigray zonal hospitals (43.6%) [18]. The difference might be related to the difference in methods and scopes of the study. This study has shown that lack of medication provision was the major problem affecting the satisfaction status of patients among 62.3%.On the other hand, the difference might be that specialized hospitals (where those studies were conducted) are well equipped and have sufficient diversity of health workers, better diagnostic facilities, health care infrastructures, and good awareness of health service providers at different levels who are expected to practice the standard ways of patient examination resulting in higher overall satisfaction levels.This finding is similar to other findings conducted in Jimma hospital (57.1%), Wolaita Sodo University Teaching Hospital (54.2%), and hospitals of Eastern Ethiopia (54.1%) although the proportions in the latter studies were higher where 70%, 67%, and 73.4% of patients did not get all prescribed drugs from primary hospital pharmacies [10, 14, 19], respectively. The reason for this difference might be due to higher user demand in the latter ones.Generally, as stated in different studies above and other studies, lack of prescribed drugs was the main reason for dissatisfaction of patients and leads many poor people to bypass the closest public facilities to go to costlier private facilities (World Bank, 2012). This is similarly indicated in this study both in qualitative and in quantitative results.Factors related to patient satisfaction were prescribed drugs availability, waiting time to see a doctor, and consultation on treatment options, which were significantly associated with patient satisfaction and were the important predictor variables found in this study.The study has shown that failure of getting all prescribed drugs was negatively associated with patient satisfaction. Similar finding was found on a study conducted in Wolaita Sodo University Teaching Hospital, in Mettu rural areas, and in hospitals of Amhara region [13, 14, 20]. In this study, 59.3% of the patients did get all prescribed drugs from the hospitals’ pharmacies. This finding is comparable to that of the study conducted in Wolaita Sodo University Teaching Hospital and in hospitals of Amhara region [13, 14] where 64.3% and about two-thirds of total patients did get all prescribed drugs from the hospital pharmacy, respectively. In other studies conducted in Jimma University Specialized Hospital, in Jimma hospital, and in Tigray zonal hospitals [10, 11, 18], 70%, 66.7%, and 61% of the patients did not get all or some of the prescribed drugs from hospitals pharmacies, respectively.The findings of this study reported that long waiting time to see a doctor after registration was found to be negatively associated with the level of patient satisfaction. There were similar findings in the study of Jimma specialized hospital, Debre Berhan referral hospital, and Eastern Ethiopia [4, 11, 19]. In this study, 25% of the respondents were dissatisfied with waiting time to see a doctor which is comparable to the study conducted in Bangladesh and in Agra district health facilities [21, 22] where 28.2% and 29.5%, respectively, of the patients were dissatisfied with long waiting time to see a doctor after registration.According to the results of the present study consultation on treatment options is the important factor predicting the levels of patient satisfaction. As health service providers continue consulting their patients on treatment options, patient satisfaction increases. So, it indicates that it is better to give attention to outpatient consultation on treatment options to improve patient satisfaction. Similar study results done in Wolaita Sodo University Teaching Hospital support this finding [14].Moreover, the present study showed that long waiting time in registration process was another negatively associated factor with patient satisfaction which is similar to a study conducted in hospitals of Amhara region and a study conducted in Agra district health facilities which also reported that registration procedure was a cause of dissatisfaction [13, 22].


## 5. Limitation of the Study

There might be social desirability bias due to the fact that facility based studies produce more positive responses by the patient. This may result in relatively short-lived “halo effect” whereby patients feel more satisfied immediately after their consultation than they do afterwards. It should also be noted that the reliance on the response of parents or caregivers for their children might introduce surrogate bias.


## 6. Conclusion

The overall level of patients’ satisfaction towards outpatient health care services in North Gondar primary hospitals was low. Availability of drugs and supplies, waiting time in registration process, and waiting time to see a doctor after registration were significant predictors of patient dissatisfaction. Hospital management bodies and health service providers need to give attention to improvement of drugs availability and reducing waiting time in registration process and time to see a doctor after registration in order to improve level of patient satisfaction. It is necessary to conduct further study and periodic assessment of health services delivery in regard to patient satisfaction.



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