Skip to main content
Download PDF

Health extension program factors, frequency of household visits and being model households, improved utilization of basic health services in Ethiopia

BMC Health Services Research volume 14, Article number: 156 (2014) Cite this article

Abstract

Background

Ethiopia has implemented a nationwide primary health program (the Health Extension Program) at the grassroots level since 2003. The aim of the program is to increase public access to basic health services, mainly by producing model households. These are households which attend at least 75% of the training given by health extension workers and implement at least 75% of the Health Extension Program packages. This study was conducted to assess the extent of the Health Extension Program utilization by the community, and to identify factors associated with it.

Methods

A community-based cross-sectional study was conducted to assess the utilization of the health extension program. Data were collected from 1320 mothers using a structured questionnaire. Multilevel logistic regression was used to identify factors associated with the utilization of the program.

Result

Health extension workers conducted frequent visits to 52.7% (95% CI = 50.0 to 55.4%) of the households, and 78.5% (95% CI = 76.2 to 80.7%) mothers visited health posts. Mothers who had frequent household visits by health extension workers were 1.289 more likely to visit the health posts (AOR = 1.289, 95% CI = 1.028 to1.826) than mothers who did not get frequent visits. Mothers from model households (3 years after graduation) were 2.410 times more likely to visit health post (AOR = 2.150, 95% CI = 1.058 to 4.365) compared to mothers from non-model households. Mothers who felt that they understood the Health Extension Program packages were 1.573 times more likely to visit the health posts (AOR = 1.573, 95% CI = 1.056 to 2.343) than mothers who did not feel they understood the program packages. Mothers from higher income families were 2.867 times more likely to visit health posts (AOR = 2.867, 95% CI = 1.630 to 5.040) compared to mothers from lower income families.

Conclusions

Conducting continuous home visits of non-model households and following up the existing model households, producing more model households by giving model-family training to non-model households, and strengthening the information, education, and communication package are crucial in the implementation of the HEP to increase basic health services utilization.

Peer Review reports

Background

Since 2003 the Government of Ethiopia has been implementing the Health Extension Program (HEP) which is an innovative approach initiated to meet the Millennium Development Goals (MDGs) [1]. HEP is designed to provide basic health care to an approximately 5000 people through a health post (HP). Every HP is staffed by two female health extension workers (HEWs) trained for one year and paid directly by the government [2, 3].

The HEP has 16 packages of preventive and curative health services that include 3 packages under disease prevention and control (HIV/AIDS and tuberculosis; malaria prevention and control; and first aid emergency measures); 5 packages under family health (maternal and child health, family planning, immunization, nutrition, and adolescent reproductive health); 7 packages under hygiene and environmental sanitation (excreta disposal, solid and liquid waste disposal, water supply and safety measures, food hygiene and safety measures, healthy home environment, control of insects and rodents, and personal hygiene); and 1 package of health education and communication [2, 3].

Health service utilization is a result of multiple factors, such as health workers’ conduct, characteristics of the community (family characteristics, social structure, assets/affordability, and perceptions about modern health services). It is also influenced by enabling factors, such as the availability of health facilities, the accessibility to health services, the quality of services, and costs as well as the characteristics of disorder (intensity of illness and number of spells) [4–11]. According to Andersen, factors associated with the utilization of health services can be grouped into predisposing, enabling, and needs factors [12]. In addition, health service characteristics, such as type (hospital, physician, drugs and, medications, or other services); purpose (primary, secondary, or tertiary care), and unit of analysis (contact, volume or episode); health services provision, such as intensity (amount ) and duration (short or long); and frequency of house visits by health workers can have their own effect on health service utilization [13, 14].

Health service utilization studies in Ethiopia indicate that factors, such as awareness and perception, literacy, family size, educational status, perceived illness, family income, media exposure, perception of distance to health facilities, perceived transport, and treatment costs are some of the predictor factors [15–19]. The HEP is designed to increase the coverage of primary health care services in Ethiopia, mainly by producing model households using model-family training. The model family training comprises a total of 96 hours of training on basic hygiene and environmental sanitation (30 hours), family health care (42 hours), and disease prevention and control (24 hours). Households which attend at least 75% of the training and implement at least 75% of the HEP packages receive certificates of completion at a graduation ceremony and graduate as model households (families). The program also addresses health service utilization through the establishment of HP to serve 5000 people, and the deployment of two HEWs who conduct home visits in the community and give basic health services in each HP [2].

During the HEP implementation period, particularly from 2007 to 2011, the basic health services indicators such as, contraceptive acceptance (34.8 to 61.7%), antenatal care (52.1to 82.2%), and full immunization (56.4 to 74.5%) have indicated marked improvements. In 2011, in Amhara Region, the rates were 88.6% for contraceptive acceptance, 86.2% for antenatal care, and 82.5% for full immunization [20]. Though there are promising results of the HEP, conducting more studies on assessing the process and the effect has a paramount importance for its successful implementation. Therefore, this study was conducted with the aim of assessing the utilization of the HEP by the community and factors that might be associated with it.

Methods

Study design and area

A community-based cross-sectional survey was conducted among women in West Gojjam Zone, Amhara National Regional State, Ethiopia, over a period of three months (March to May, 2012) to assess the utilization of HEP and factors associated with it. West Gojjam Zone was one of the 11 zones of Amhara Region. The HEP was started in 2003, and during the study period, there were 6,530 HEWs (6,401 in rural and 129 in urban areas) of the region, and 782 HEWs (772 in rural and 10 in urban areas) of West Gojjam Zone.

Study population and sampling

Women who were alive, aged 15–49 years, and had at least one child less than 5 years old were included in the study. A multistage sampling procedure was used to select the study units (mothers in the selected households). At the first stage, six districts (Yilmana Densa, Mecha, Semien Achefer, Bure, Jabi Tehnan and Dega Damot) were randomly selected out of the 13 rural districts. At the second stage, 44 kebeles were selected randomly from the six districts. In the third stage, 30 households were selected randomly from each kebele to get 1320 mothers required for the study. The list of women who were alive, aged 15–49 years, and had at least one child less than 5 years of age in each kebele was prepared in collaboration with the HEWs. Whenever there was more than one mother in a household, only one mother who was responsible for the household was selected randomly by lottery method.

The sample size was determined by using a single population proportion formula. The computation was based on the 95% confidence interval (Zα/2 = 1.96), 5% marginal error (d), and 50% utilization of HEP (p) by the community, and a 10% non-response rate.

n = Z α / 2 2 p 1 ‒ p d 2 = 1.96 2 0.50 0.50 0.05 2 = 384
By adding 10 % , n = 384 + 10 / 100 384 = 423 households

The sample, 423, was multiplied by the design effect of 3 (number of stages), and the final sample size was 1269, which was again, raised to 1320 in order to take 30 households from each kebele.

Data collection

In order to collect information, interview was conducted based on a structured questionnaire consisting mainly of close-ended questions. The questionnaire was developed based on previous health service utilization studies carried out in developing countries [11, 18, 21]. The questionnaire was based on three factors, such as predisposing factors, enabling factors, and needs factors.

Twelve data collectors and six supervisors were recruited and trained to administer the questionnaire. The data collectors were diploma holder nurses and health officers (with a bachelorette degree) served as field supervisors. The interview was conducted at study participants’ houses, and the data collectors had to go house to house in each selected kebele until a sample of 30 mothers was obtained for each kebele.

The structured questionnaire was pre-tested in kebeles of the same administrative zone which were not included in the actual study. The pre-test was done on 66 mothers (5% of the study sample size), and the questionnaire was assessed for its completeness, clarity, and length. A daily data quality-check was done during the study period, and data were double-entered to minimize error during data processing.

Operational definitions

Utilization of HEP was defined as health post visits by mothers in the community in the last 12 months for health services, such as immunization, family planning, antenatal care (ANC), delivery, postnatal care (PNC), and diagnostic treatment.

Predisposing factors were any demographic (sex, age, marital status), social structure (education, occupation, family size, ethnicity, religion), HEP related (hearing and understanding HEP), and belief related factors (perception about health services and health workers) explaining an individual’s decision to use health services. Enabling factors were situations that influence utilisation behaviour (income, home visits by HEWs, and frequency of home visits, services provided in the HP). Need factors were individuals’ perceived need to use heath care services based on their perceived illness and/or clinical evaluated illness (type and stage of illness).

Model households were defined as households that attended at least 75% of the training given by HEWs and implemented at least 75% of the HEP packages. Frequency of home visits by HEWs was the number of visits HEWs made in a week or month, and we categorized it into more frequent visits if there was at least one visit per month, and no visits or less frequent visits if there was no visit at all or if there was one visit in more than one month. The number of years after household graduation means years since the household has become a model family by attending at least 75% of the HEP training and implementing at least 75% of the HEP packages.

The conduct of HEWs and the quality of services were measured according to study participants’ perception of HEWs’ conduct and services provided in the HP, respectively, using a 5-points Likert scale ranging from 1 (very bad) to 5 (very good). Comprehension/understanding of the HEP was also measured according to study participants’ perception of their HEP knowledge using “Yes” or “No” responses and study participants who mentioned the exact number of HEP packages, i.e.16 packages, were labelled as ‘accurately mentioned the number of HEP packages’.

Data analysis

Data were coded and entered into Epi-Info 3.5.1 and transferred to SPSS 16 for analysis. Age was coded as “0” for ages below the mean, and “1” for ages above the mean. Mothers’ occupation was coded as “0” for housewife and “1” for farmer and other jobs. Other jobs meant jobs other than housewife and farmer, and included merchant and daily labourer. Education was coded as “0” for illiterate and “1” for at least read and write; income was coded into four categories (0 = Birr 562 and below, 1 = Birr 563–760, 2 = Birr 761–960, and 3 = Birr 961 and above).

The multilevel binary logistic regression was used to assess the predictors of HP visits by the community. The multilevel models allowed us to consider the individual level (household) and the group level (kebele) in the same analysis, rather than having to choose one or the other. Due to the multistage cluster sampling procedure, individual women were nested within kebeles; hence, the likelihood of women seeking HP visits was likely to correlate to the kebele members.

We examined the effect of the individual level variables, and the kebeles using a two-level binary logistic regression modelling. During analysis, the characteristics of women and households were taken as individual level (level-1), and kebeles were treated as level-2. For the dependent variable, HP visit, two models were estimated: the intercept-only model, an empty model that contained no covariates, and the full model that included individual variables and the kebeles. The intercept-only model allowed us to evaluate the extent of cluster variation on the utilization of HEP. Based on this model, the intra-class correlation coefficient (Rho) was calculated to evaluate whether the variation in the scores was primarily within or between clusters.

Both the crude odds ratio (COR) and the adjusted odds ratio (AOR) were used for reporting the results of the binary logistic regression. COR was an unadjusted crude ratio that reported the odds ratio without taking confounders into considerations, while AOR reported the odds ratio taking into account and controlling confounders. Therefore, AOR gave a more accurate picture of the association than COR did. Estimates of population parameters were presented with 95% Confidence Interval (CI). In every application of inferential statistics, P value of 0.05 was taken as significance level.

Ethical issues

The University of Gondar Ethics Review Committee approved the research proposal. A written, informed consent was obtained from each study participant. Confidentiality was assured by not taking personal identifiers. The respondents were also informed about their freedom to withdraw at any time while they were being interviewed.

Results

A total of 1318 women participated in the study with a response rate of 99.85%, and 1034 (78.5%, 95% CI = 76.2 to 80.7%) study participants visited HPs during the year.

Predisposing factor

The age of the respondents ranged from 18 to 48 years with a mean age of 32.53 ± 6.25 years. Most of the study participants (90.1%, 95% CI = 88.4 to 91.7%) were married, (74.2%, 95% CI = 71.8 to 76.6%) illiterate, (79.0%, 95% CI = 76.8 to 81.2%) housewives, 100% Orthodox Christians, and 99.3% Amhara. The average family size was 5.53 ± 1.79 individuals (Table 1).

Table 1 Socio-demographic characteristics of study participants in West Gojjam Zone, Ethiopia, 2012
Full size table

The majority, 1211 (91.9%, 95% CI = 90.4 to 93.4%) of the study participants had heard about the HEP, and the HEWs were the source of information for 1199 (91.0%, 95% CI = 89.4 - 92.5%) of them. Out of the 1211 study participants, 890 felt that they understood/comprehended what the HEP was. Packages such as Immunization, Excreta Disposal, Family Planning, and Solid and Liquid Wastes were mentioned by 840, 828, 827, 814 study participants, respectively. On the contrary, the least recalled packages, such as First Aid, Rodent and Insect Control, Adolescent Reproductive Health and Nutrition were mentioned by 196, 313, 347, and 396 study participants, respectively. The conduct of the HEWs was rated as “Good” by 94.7% (95% CI = 93.5 to 96.0%) of the participants. Similarly, the services provided in the HPs were viewed of “Good Quality” by 94.4% (95% CI = 93.1 to 95.6%) of them (Table 2).

Table 2 Knowledge and preferences of study participants about health extension program in West Gojjam Zone, ANRS, Ethiopia, 2012
Full size table

Enabling factors

The average monthly income of the households was Birr 888 ± 588. One thousand six (76.3%, 95% CI = 74.0 to 78.6%) households were model households. Only 3.0% (95% CI = 2.0 to 3.9%) of the study participants had roles as leaders or secretaries of committees in the community or had government employment. One thousand one hundred ten study participants (84.2%, 95% CI = 82.2 - 86.2%) had home visits by HEWs, and 52.7% (95% CI = 50.0 - 55.4%) had frequent visits (at least one visit every 4 weeks). Most of the study participants (98.5%) travelled on foot to visit the health posts (Table 3).

Table 3 Study participants’ income, social, and health extension program related status in West Gojjam Zone, Ethiopia, 2012
Full size table

Needs factors

The main reasons for visiting HPs were family planning, immunization, and child illness. In cases of illness, 55.6% (95% CI = 52.9 - 58.3%)of the study participants visited the HP soon after the illness began, and 21.5% (95% CI = 19.3 - 23.7%) only if there was no improvement (Table 4).

Table 4 Reasons and stage of illness for seeking health post visits in West Gojjam Zone, Ethiopia, 2012
Full size table

Multilevel logistic regression

The bivariate logistic regression showed that HP visits had significant association with mothers’ occupation, family income, hearing (having information) about HEP, understanding the HEP, perception about the quality of services provided in the HP, perception about the conduct of HEWs, frequency of home visits by the HEWs, and household graduation status. However, HP visits had no significant association with age, marital status, educational status, ethnicity, religion, family size, status in the community, and means of transportation to visit the HP. In the multilevel logistic regression, hearing about HEP, perception about the health services provided in the HP and the conduct of HEWs, and mothers’ occupational status were not found significant. Household graduation status, frequency of home visits by HEWs, understanding the HEP and family income were predictors of HP visits by the community.

Mothers who had frequent household visits by the HEWs were 1.289 more likely to visit the HP (AOR = 1.289, 95% CI = 1.028 to1.826) than mothers who did not have frequent household visits. Mothers from model households (3 years after graduation) were 2.150 times more likely to visit the HP (AOR = 2.150, 95% CI = 1.058 to 4.365) compared to mothers from non-model households. Mothers who felt that they understand the HEP packages were 1.573 times more likely to visit the HP (AOR = 1.573, 95% CI = 1.056 to 2.343) than mothers who did not feel they understood the program packages. Mothers from higher income families were 2.867 times more likely to visit the HP (AOR = 2.867, 95% CI = 1.630 to 5.040) compared to mothers from lower income families (Table 5).

Table 5 Factors Associated with utilization of HEP by the community, West Gojjam Zone, Ethiopia, 2012 (n = 1318)
Full size table

Discussion

The study showed that the number of years since a household graduated, frequency of HEWs household visits, understanding the components of HEP packages, and having higher family income were predictors of HP visits by the Community. However, mothers’ occupational status, hearing about HEP packages, perception of the community about the quality of services provided in the HP and the conduct of HEWs were not predictors of HP visits.

The frequency of HEWs household visits and the number of years after household graduation had a significant positive association with HP visits by the community. The findings regarding the effect of number of visits on the outcomes of home visit programs, such as the utilization of health services were mixed [22]. A meta-analysis of home visiting programs for at-risk families to examine differences in the effects of programs on maternal behaviour, noted that the effectiveness of home visit programs was principally dependent upon the frequency of services, stating that programs with more frequent contact between home visitors and their clients were most successful [23]. The same study suggested that the duration might be less important than the frequency of services, noting that short-term intensive interventions could be highly effective. In contrast to these findings, some systematic reviews of home visiting programs found no pattern of difference in the average intensity and duration of the program related to the outcomes measured [24, 25].

Understanding the components of the HEP had a significant positive association with the utilization of the HEP. This was consistent with studies done in Taiwan and Uganda that identified individual and community knowledge and acceptance of health services or health literacy had a significant positive association with health service utilization [18, 26]. Immunization, excreta disposal, family planning, solid and liquid waste disposal were packages most recalled by the participants, while first aid, insect and rodent control, adolescent reproductive health and nutrition were packages least recalled. This may be due to the focus of the HEWs on packages such as immunization and family planning which are now becoming more accepted by the community, and packages such as excreta disposal, and solid and liquid waste disposal which are considered as good signs of the HEP implementation by the community.

In this study, higher family income (Birr 961 and above) had a positive association with the HP visits by the community, which was consistent with the health service utilization studies in Uganda and Bangladesh that reported income as one of the important factors in overcoming barriers to utilization of health services [8, 11, 14, 21].

The study indicated that mothers’ occupation had no significant association with HP visits. This was consistent with a study on correlates of and barriers to the utilization of health services for delivery in South Asia and sub-Saharan Africa which reported the odds of using a health facility for delivery were about the same for both working and non-working women in Tanzania, Bangladesh, India and Pakistan [27]. However, studies conducted in Nepal indicated that nonworking women were more likely to receive maternal health services than working women and reasoned out that most women in Nepal were working for family survival in the agriculture sector [28, 29]. Another study in Iran also revealed that housewives were more likely to seek outpatient care than other job holders [30].

The perception of the community about the conduct of HEWs, and the quality of services provided in the HP had no significant association with the HP visits. Although there was good perception about the quality of the services provided in the HPs by the majority of the study participants, lack of drugs and supplies, inability of the HEWs to diagnose, and poor services were the reasons mentioned by the other participants for having bad perception about the quality of services in the HPs. A study in India on the quality of healthcare services indicated that quality issues, such as healthcare delivery, health personnel conduct, and drug availability significantly impacted on the perception of women influencing the utilization of health services [4].

We also assessed the reasons for visiting HPs or consulting HEWs. Accordingly, family planning, immunization, child illness, and family illness were the most mentioned reasons while ANC, delivery, and PNC services were the least mentioned for visiting HPs and consulting HEWs. This might be due to the community perception that services like immunization and family planning could be provided at the HP level by HEWs and services like ANC, delivery, and PNC were better provided at health centers and hospitals by nurses or doctors. But this needs further investigation. In case of illness, most of the participants visited the HPs soon after the illness started, but still there were participants who visited the HP only if there was no improvement of the illness. This was consistent with previous studies that indicated that perceived morbidity and the presence of disabling health problem were predictors of health service utilization [16, 18].

Limitations

Though the study was based on a large sample with a high response rate due to our effort to include 30 households from each kebele, it had the following limitations. Firstly, this cross sectional study provided only a snapshot (one point in time) of utilization of the HP visits by the community, and we could not ascertain a causal relationship but rather tendencies and associations. Secondly, recall bias was expected in this study since the study participants might not remember all the HEP services and associated factors. Lastly, there was lack of baseline information in the study area about basic health services before the implementation of the HEP, and we could not compare the results of this study with base line data.

Conclusions

The study indicated that utilization of the HEP had a significant positive association with HEP implementation related factors, such as number of years after graduation, frequency of household visits by HEWs, and understanding the HEP. The utilization of the HEP also had a significant positive association with family income. Thus, conducting continuous home visits of non-model households and following up the existing model households, producing more model households by giving model-family training to non-model households, and strengthening the information, education, and communication package are crucial in the implementation of the HEP to increase basic health service utilization.

Unlike the conventional CHWs who train for a few months and get either incentives or per diem for their work, the HEWs get one year training and are full-time employees receiving regular monthly salary from the government to implement the HEP packages. This could trigger a sense of ownership and motivate the HEWs to implement the HEP. Other countries of similar context with Ethiopia may apply the HEP-like health programs that reach the community at the grass-roots level. The association of HEP related factors was evident in this study, but the fact that other factors, such as the availability of voluntary community health workers, agricultural development agents, and health promotion through the mass media could also affect service utilization and should be taken into consideration. Therefore, further studies which use more robust study designs and data analysis methods focusing on specific health services such as ANC and skilled delivery services are required for better understanding of HEP contribution to health services utilization.

Authors’ information

MY is a lecturer of Health Service Management and Health Economics at the Institute of Public Health, the University of Gondar. He is also a PhD student at the University of Gondar and Addis Continental Institute of Public Health Joint PhD Program doing his dissertation on the implementation of the HEP in West Gojjam Zone, Amhara National Regional State, Ethiopia. YB is a Professor in Epidemiology and Public Health at the Addis Continental Institute of Public Health, Addis Ababa, Ethiopia. AW is Associate Professor of Biostatistics at Addis Ababa University, Addis Ababa, Ethiopia. YK is a Professor in Public Health at the University of Gondar and Director of Dabat Rural Health Research Center at the University, Gondar, Ethiopia.

References

  1. 1.

    Federal Ministry of Health: Health Sector Strategic Plan (HSDP-III), Planning and Programming Department. 2005, Ethiopia: Addis Ababa

    Google Scholar 

  2. 2.

    Federal Ministry of Health: Health Extension Program in Ethiopia Profile, Health Extension and Education Center. 2007, Ethiopia: Addis Ababa

    Google Scholar 

  3. 3.

    Federal Ministry of Health: Health Extension program implementations guide line. 2007, Ethiopia: Addis Ababa

    Google Scholar 

  4. 4.

    Bakeera SK, Wamala SP, Galea S, State A, Peterson S, Pariyo GW: Community perceptions and factors influencing utilization of health services in Uganda. International Journal for Equity in Health. 2009, 8 (25): 1-12.

    Google Scholar 

  5. 5.

    Shaikh BT, Hatcher J: Health seeking behaviour and health service utilization in Pakistan: challenging the policy makers. J Public Health. 2004, 27 (1): 49-54.

    Article  Google Scholar 

  6. 6.

    Kruk ME, Prescott MR, De Pinho H, Galea S: Are doctors and nurses associated with coverage of essential health services in developing countries? A cross-sectional study. Human Resources for Health. 2009, 7 (27): 1-9.

    Google Scholar 

  7. 7.

    Kipp W, Kamugisha J, Jacobs P, Burnham J, Rubaale T: User fees, health staff incentives, and service utilization in Kabarole District, Uganda. Bull World Health Organ. 2001, 79 (11): 1032-1037.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Dias SF, Severo M, Barros H: Determinants of health care utilization by immigrants in Portugal. Health Serv Res. 2008, 8 (207): 1-8.

    Google Scholar 

  9. 9.

    Ferdous FB, Azam ATMZ: Utilization of Child Health Care Services in Thana Health Complex of Bangladesh. 2009, Asian Journal of Epidemiology: A Study of Keranigani

    Google Scholar 

  10. 10.

    Lubbock LA, Stephenson RB: Utilization of maternal health care services in the department of Matagalpa, Nicaragua. Rev Panam Salud Publica. 2008, 24 (2): 75-84.

    Article  PubMed  Google Scholar 

  11. 11.

    Fantahun M, Degu G: Health Service Utilization in Amhara Region of Ethiopia. Ethiopian Journal of Health Development. 2003, 17 (2): 141-147.

    Google Scholar 

  12. 12.

    Andersen RM: Revisiting the behavioral model and access to medical care: does it matter?. J Health Soc Behav. 1995, 36: 1-10. 10.2307/2137284.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Andersen R, Newman JF: Societal and Individual Determinants of Medical Care Utilization in the United States. Milbank Q. 2005, 83 (4): 1-28.

    Article  Google Scholar 

  14. 14.

    Niever MA, Egeren LAV, Pollard S: A meta-analysis of home visit in programs: Moderators or improvements in maternal behavior. Infant Mental Health Journal. 2010, 31 (5): 499-520. 10.1002/imhj.20269.

    Article  Google Scholar 

  15. 15.

    Worku AG, Yalew AW, Afework MF: Factors affecting utilization of skilled maternal care in Northwest Ethiopia: a multilevel analysis. BMC International Health and Human Rights. 2013, 13 (20): 1-11.

    Google Scholar 

  16. 16.

    Abosse Z, Woldie M, Ololo S: Factors influencing antenatal care service utilization in hadiya zone. Ethiopian Journal of Health Sciences. 2010, 20 (2): 75-82.

    PubMed  PubMed Central  Google Scholar 

  17. 17.

    Birmeta K, Dibaba Y, Woldeyohannes D: Determinants of maternal health care utilization in Holeta town, central Ethiopia. BMC Health Serv Res. 2013, 13 (256): 1-10.

    Google Scholar 

  18. 18.

    Girma F, Jira C, Girma B: Health Services Utilization and Associated Factors in Jimma Zone, South West Ethiopia. Ethiopian Journal of Health Sciences. 2011, 21 (special issue): 85-94.

    PubMed  PubMed Central  Google Scholar 

  19. 19.

    Medhanyie A, Spigt M, Kifle Y, Schaay N, Sanders D, Blanco R, GeertJan D, Berhane Y: The role of health extension workers in improving utilization of maternal health services in rural areas in Ethiopia: a cross sectional study. BMC Health Serv Res. 2012, 12 (352): 1-9.

    Google Scholar 

  20. 20.

    Federal Ministry of Health: Health and Health Related Indicators. 2011, Ethiopia: Addis Ababa

    Google Scholar 

  21. 21.

    Cisse A: Analysis of Health Care Utilization in Côte d'Ivoire. 2011, Nairobi, Kenya: The African Economic Research Consortium

    Google Scholar 

  22. 22.

    Sharma JK, Narang : Quality of Healthcare Services in Rural India - The User Perspective. VIKALPA January - March. 2011, 36 (1): 51-60.

    Google Scholar 

  23. 23.

    McDonald M, Moore T, Goldfeld S: Sustained home visiting for vulnerable families and children: A literature review of effective programs prepared for Australian Research Alliance for Children and Youth, Parkville, Victoria. 2012, Melbourne, Australia: The Royal Children’s Hospital Centre for Community Child Health, Murdoch Children’s Research Institute

    Google Scholar 

  24. 24.

    Aslam H, Kemp L: Home visiting in South Western Sydney: An integrative literature review, description and development of a generic model. 2005, Centre for Health Equity Training Research and Evaluation: Sydney

    Google Scholar 

  25. 25.

    Kendrick D, Elkan R, Hewitt M, Dewey M, Blair M, Robinson J, Williams D, Brummell K: Does home visiting improve parenting and the quality of the home environment? A systematic review and meta analysis. Arch Dis Child. 2000, 82: 443-451. 10.1136/adc.82.6.443.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Lee S-YD, Tsai T-I, Tsai Y-W, Kuo KN: Health literacy, health status, and healthcare utilization of Taiwanese adults: results from a national survey. BMC Public Health. 2010, 10 (614): 1-8.

    Google Scholar 

  27. 27.

    Tey N-P, Lai S-I: Correlates of and Barriers to the Utilization of Health Services for Delivery in South Asia and Sub-Saharan Africa. The Scientific World Journal. 2013, 2013 (2013): 1-11.

    Article  Google Scholar 

  28. 28.

    Masaki M, Bina G: Women's Status, Household Structure and the Utilization of Maternal Health Services in Nepal : Even primary-leve1 education can significantly increase the chances of a woman using maternal health care from a modem health facility. Asia-Pacific Population Journal. 2001, 16 (1): 23-44.

    Google Scholar 

  29. 29.

    Paudel DR, Fitakmanaket O: Utilization of Maternal Health Services in Nepal. JHAS. 2010, 1 (1): 28-37.

    Google Scholar 

  30. 30.

    Hosseinpoor AR, Naghavi M, Alavian SM, Speybroeck N, Jamshidi H, Vega J: Determinants of Seeking Needed Outpatient Care in Iran: Results from a National Health Services Utilization Survey. Arch Iranian Med. 2007, 10 (4): 439-445.

    Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/14/156/prepub

Download references

Acknowledgements

We would like to thank the Amhara National Regional Health Bureau and West Gojjam Zone Health Department for facilitating the conduct of this study. Our special thanks also extend to all study participants who participated in this study unreservedly committing their time. This study was funded by the University of Gondar, and the African Health and Population Research Center (AHPRC), which is supported by the International Research Development Center (IRDC), Canada.

Author information

Affiliations

  1. University of Gondar, Gondar, Ethiopia

    Mezgebu Yitayal & Yigzaw Kebede

  2. Addis Continental Institute of Public Health, Addis Ababa, Ethiopia

    Yemane Berhane

  3. Addis Ababa University, Addis Ababa, Ethiopia

    Alemayehu Worku

  4. Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia

    Mezgebu Yitayal

Authors
  1. Mezgebu Yitayal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yemane Berhane
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alemayehu Worku
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yigzaw Kebede
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mezgebu Yitayal.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MY conceived the study, participated in the design, collection, and analysis of the study, and drafted the manuscript. YB participated in the conceptualization and design of the study and helped to draft the manuscript. AW helped in the design of the study and analysis of the data, and contributed to the drafting of the manuscript. YK also participated in the design of the study and contributed to the drafting of the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Reprints and Permissions

About this article

Cite this article

Yitayal, M., Berhane, Y., Worku, A. et al. Health extension program factors, frequency of household visits and being model households, improved utilization of basic health services in Ethiopia. BMC Health Serv Res 14, 156 (2014). https://doi.org/10.1186/1472-6963-14-156

Download citation

Keywords

  • Health extension program
  • Health service utilization
  • Utilization of health extension program

BMC Health Services Research

ISSN: 1472-6963

Contact us