- Open Access
Improved malaria case management in formal private sector through public private partnership in Ethiopia: retrospective descriptive study
Malaria Journal volume 15, Article number: 352 (2016)
Malaria is a major public health problem and still reported among the 10 top causes of morbidity and mortality in Ethiopia. More than one-third of the people sought treatment from the private health sector. Evaluating adherences of health care providers to standards are paramount importance to determine the quality and the effectiveness of service delivery. Therefore, the aim of this study was to evaluate the contribution of public private mix (PPM) approach in improving quality of malaria case management among formal private providers.
A retrospective data analysis was conducted using 2959 facility-months data collected from 110 PPM for malaria care facilities located in Amhara, Dire Dawa, Hareri, Oromia, Southern Nation Nationalities and Peoples and Tigray regions. Data abstraction formats were used to collect and collate the data on quarterly bases. The data were manually cleaned and analysed using Microsoft Office Excel 2010. To claim statistical significance non-parametric McNemar test was done and decision accepted at P < 0.05.
From April 2012–September 2015, a total of 873,707 malaria suspected patients were identified, of which one-fourth (25.6 %) were treated as malaria cases. Among malaria suspected cases the proportion of malaria investigation improved from recorded in first quarter 87.7–100.0 % in last quarter (X2 = 66.84, P < 0.001). The majority (96.0 %) were parasitologically-confirmed cases either by using microscopy or rapid diagnostic tests. The overall slid positivity rate was 25.1 % of which half (50.7 %) were positive for Plasmodium falciparum and slightly lower than half (45.2 %) for Plasmodium vivax; the remaining 8790 (4.1 %) showed mixed infections of P. falciparum and P. vivax. Adherence to appropriate treatment using artemether-lumefantrine (AL) was improved from 47.8 % in the first quarter to 95.7 % in the last quarter (X2 = 12.89, P < 0.001). Similarly, proper patient management using chloroquine (CQ) was improved from 44.1 % in the first quarter to 98.12 % in the last quarter (X2 = 11.62, P < 0.001).
This study documented the chronological changes of adherence of health care providers with the national recommended standards to treat malaria. The PPM for malaria care services significantly improved the malaria case management practice of health care providers at the formal private health facilities. Therefore, regional health bureaus and partners shall closely work to scale up the initiated PPM for malaria care service.
Malaria is caused by the protozoan parasite of the genus Plasmodium and transmitted by Anopheles mosquitoes. Globally, it is an important public health problem. According to the World Health Organization (WHO) global malaria report 2015, there were an estimated 214 million in 2015 (range 194–303 million) cases. Most of the estimated cases (88 %) occurred in WHO African Region. In the same year, an estimated 438,000 deaths were reported, mostly (90 %) in the African Region .
In Ethiopia, malaria is a major public health problem. Approximately over 50 million (60 %) of the population live in malaria endemic area, mainly at altitudes below 2000 m above sea level . According to Ethiopian Federal Ministry of Health (EFMOH 2013/2014), there were 57,503 public sector malaria hospitalizations, 4.9 million malaria outpatient cases, and the majority 2.9 million were laboratory-confirmed Plasmodium falciparum outpatient malaria cases, and 1.2 million were Plasmodium vivax cases .
Malaria is a significant impediment to social and economic development in Ethiopia. In endemic areas, malaria has affected the population during planting and harvesting seasons, cutting down productive capacity at a time when there is the greatest need for agricultural work. The disease has also been associated with loss of earnings, low school attendance, and high treatment cost [3–5].
In the last 5 decades, Ethiopia has executed all three WHO recommended malaria prevention and control strategies i.e. early diagnosis and prompt treatment, vector control and epidemic prevention and control [4, 6]. Currently, malaria care services in public health facilities are offered free of charge at all three levels of the health care tier system. Despite the effort made by the government to improve access and quality of services in public health facilities, significant numbers of the community members sought treatment from the private health sector [7–9].
On one hand, evidences from countries with different modality working with private health sector on malaria case management revealed improved quality of services [10–14]. On the other hand, there are reported challenges facing the health system due to unregulated private sector through poor adherence to the nationally recommended standards for malaria case management [15, 16]. In the context of malaria elimination, working with the private health sector is essential to ensure complete and timely reporting of all malaria cases and ensuring access to effective case management for people seeking treatment from private providers . WHO developed the Global technical strategy for malaria 2016–2030, which sets the most ambitious targets for reduction in malaria cases and deaths since the malaria eradication era began . This strategy was developed in line with the roll back malaria (RBM) partnership’s Action and investment to defeat malaria, to ensure shard goals and complementarity. The strategy has three main building blocks. The first pillar is to ensure universal access to malaria prevention, diagnosis and treatment. The second pillar is to accelerate efforts towards elimination of malaria and the third pillar is to transform malaria surveillance into a core intervention [17, 18].
In many developing countries the private health sector provides public health care and services for about one half of their population [1, 19, 20]. The situation in Ethiopia is quite similar with other SSA countries . However, very few studies were documented on the role of private health facilities on malaria control and the quality of care in Ethiopia [21–23]. Jerne et al. state that out of 102 survey facilities in Oromia Regional State of Ethiopia, 86.0 % were providing malaria diagnosis and treatment services . They also stated that the private health sector were not part of malaria case management training and didn’t get opportunity to be familiar with the most resent recommendations [21, 22]. Moreover, there was no strong established system to ensure the efficacy of drug accessed through private sector . On top of these, the cost of full dose of artemether-lumefantrine (Coartem®) available through the private sector was found to be high and challenges the affordability of services to the general population.
Public Private Partnership (PPP) for malaria care service in Ethiopia has been implemented by six Regional State Health Bureaus and United State Agency for International Development (USAID) Funded Private Health Sector Programme (PHSP) (2009–2015). PHSP provided technical support for Regional Health Bureaus to take the leadership and stewardship on PPP and private facilities to be committed for the success of the national vision ‘seeing malaria free Ethiopia’. One hundred ten private health facilities engaged in the implementation of the malaria care services through initiated partnerships [19, 24, 25].
This retrospective study was conducted to analyse forty-two months’ health facility quarterly reports on malaria service delivery to assesses magnitude of cases and adherence of health care workers on the national standards. The result of this study will be useful for policy-makers, programme managers and health care workers for evidence based decision for quality service delivery.
Ethiopia is located in the horn of Africa with an area of estimated 1.1 million sq. km . This data analysis covers five regional state and one city administration where over 54.5 million people live at risk of malaria .
Process of establishing PPP for malaria care
Private Health Sector Programme (PHSP) was a 6 years project (September 2009–September 2015), funded by United States Agency for International Development (USAID). PHSP was the successor of Private Sector Project (PSP), which has piloted Public Private Mix Directly Observed Therapy Short Course (PPM_DOTS) and Human Immuno-deficiency Virus (HIV) programs in Ethiopia and concluded with recommendation to scale up the approach to maximize the health impact of the partnership [19, 24, 25].
PHSP provided its technical support in the implementation of PPM for human immuno-deficiency virus (HIV) acquired immune deficiency syndrome (AIDS), tuberculosis (TB), malaria, family planning (FP), sexually transmitted infections (STI) programmes for five regional states and two city administrations namely: Amhara, Oromia, Tigray, Southern Nations Nationalities and Peoples (SNNP), Hareri Regions and Dire Dawa and Addis Ababa City Administration. Moreover, PHSP built the capacity of 342 private health facilities, primarily private for profit, followed by private not for the profit (faith based organization) and the third group were work place facilities; with the goal of establishing effective public private partnership for improving access to and demand for quality public health services with affordable costs. The malaria programme was implemented in 110 private health facilities (Fig. 1) .
PHSP has implemented its project using its programme implementation strategies  with step ladder fashion (Fig. 2). The first phase of the implementation strategy is dedicated to construct the foundation of PPP approaches. PHSP has conducted preliminary discussions with all Regional State Health Bureaus (RHBs). Then, consensus building workshops were held with delegates of public sector, private sector and other relevant stakeholders. PHSP in collaboration with RSHBs conducted facility readiness assessment from January through September 2012. Using a predetermined objective criteria like service integration, malaria case load, human resources, willingness and commitment of private health facilities owners, 110 health facilities i.e. seven Primary (Lower Clinics), 10 Hospitals, 37 Higher Clinics and 56 Medium Clinics were selected . Moreover, Referral directory were developed and distributed to all actors for smooth networking. Therefore, this was the time which builds the capacity of public sector leadership and governance in owning the partnerships at regional health bureaus and its line structures.
Before commencing the PPP for malaria care services, PHSP provided a team based trainings for case, laboratory and supply chain managers. The staff underwent 4 days of malaria case management and malaria diagnosis methods trainings. The third person attended nationally recommended 3 day training on supply chain management using standard operating procedure (SOP) for integrated pharmaceutical logistics system (IPLS).
In the implementation strategy after working on foundation, capacity building would resume in the parameter of clinical and non-clinical areas which include: training for private health facility owners on business management, signing of memorandum of understandings, linking facilities to public health supplies system and site preparation. During the study periods 344 malaria case managers were trained in twelve sessions. One hundred eighty five laboratory personnel were trained on malaria diagnosis, internal quality control (IQC), and external quality assurance (EQA) furthermore 140 supply chain mangers were trained in five sessions.
The third and final steps are service delivery which includes service initiation, advocacy, demand creation supervision and mentoring. On a quarterly basis, technical assistances for all facilities was provided by a team of malaria expert from Woreda health office, laboratory quality officer, pharmacy mentor and programme officers. In addition, demands were created using 347 spot health radio messages in five local languages i.e. Amharic, Hareri, Oromiffa, Somali and Tigrigna, distribution of 168,500 patient brochures and 29,000 posters .
PHSP adopt, print and distribute a set of malaria morbidity and mortality register, comprehensive laboratory register, weekly reporting forms, national malaria guidelines and job aids. Furthermore, joint supportive supervisions were conducted on quarterly bases by a team of malaria experts from public sector, clinical officer, laboratory quality officer and pharmacy mentor.
The established partnerships need commitment of private health facilities to serve the community only with consultation and laboratory service fees. As per the signed Memorandum of Understanding (MOU) with or between RHB, confirmed P. falciparum cases should get AL (Coartem) for free of charge while P. vivax cases should be treated with chloroquine. In addition, the health facilities are expected to document the result of IQC and EQA results. Finally, the overall implementation of malaria case detection and management is verified through continuous quality improvement approaches .
Data collection methods and data quality
This retrospective descriptive study  was conducted to determine malaria prevalence and adherence of health care providers to national standards using forty-two months or 2959 facility-months data i.e. from April 2012–September 2015. The data were collected from 110 Public Private Partnership (PPP) for malaria care facilities located in six regional states of Ethiopia. Data were collected using the pretested data abstraction form through reviewing primary source from comprehensive laboratory and malaria morbidity registers which consists of age, sex, date seen at health facility, diagnosis, treatment, history of admission, referral and outcome of admitted malaria patients. The tool has facility identifiers, data collection period and detail malaria case information.
In all PHSP supported private health facilities, malaria was diagnosed using standard operating procedure either using Giemsa (3 or 10 %) stained blood film or multi species malaria rapid diagnostic test kits (RDT). Only primary clinics (lower clinics) were expected to use RDTs to diagnose malaria. The data were collected by nine team composed of trained twenty four public health professionals (regional programme coordinators and program officers) and the data quality were ensured through regularly conducted data quality assessment by continuous quality improvement experts. The teams found margins of errors of less than 3 % .
The summaries of quarterly reports were transferred to continuous quality improvement team through Open Data Kit (ODK) using smart phones. For statistical analysis the data were exported to Microsoft Excel 2010. The data were cleaned and checked for consistencies. Descriptive statistical analysis  (Frequency distribution and line graphs for trend analysis) were made. Botma et al.  recommended a non-parametric statistical analysis, McNemar Chi square test for paired or dependent proportions. For this retrospective descriptive study, McNemar’s test is selected, where each nominal data in the first quarter was paired with the last quarter data. Statistically significant relationship was claimed at P < 0.05 .
The research protocol of this retrospective study was not reviewed by research ethics committee. As one of the project activity permission to use the data were sought and obtained from Private Health Sector Project, Abt Associated Inc. in Ethiopia. Patient identifier information was not collected. As per the requirement of the public health system summarized information’s were submitted to six Regional Health Bureaus (RHBs) on quarterly and annual bases.
A complete set of 2959 months-facility malaria morbidity data were collected on quarterly bases from 110 malaria care services facilities located in six regional states of Ethiopia. Between the initiation of PPP for malaria care services and September 2015, a total of 873,707 malaria suspected patients were identified, of which 223,293 (25.6 %) were treated as malaria cases. Almost all 214,259 (96.0 %) were parasitological confirmed either using microscopy or malaria RDTs. The rest 9034 (4.0 %) were diagnosed by clinical signs or symptoms as presumed malaria cases (Table 1).
The majority (63.7 %) of malaria suspected cases were served at medium clinics, followed by higher clinics (18.7 %). The third largest group of patients (13.8 %) was served in lower clinics and the rest of malaria suspected cases (3.8 %) were served in Hospitals.
The majority 133,876 (60.0 %) of malaria patients were males. However, this gender difference in utilization of the service among malaria patient increased when the age group increased from lower to next higher age category. Two-third (68.9 %) were patients in the age category 15 years old or more, followed by 15.8 % were children 5–14 years old and the rest 15.2 % were under 5 years old children (Table 2). The majority 87.1 % of malaria suspected cases was serviced in private for profit facilities, followed by 9.7 % of malaria suspected patients were served in workplace facilities (Fig. 3).
The malaria microscopy slide positivity rate was 24.5 % (198,066/807,275). Almost half of confirmed cases (50.4 %) were P. falciparum, 45.6 % were P. vivax (and the rest (4.1 %) were mixed species P. falciparum/P. vivax infections (Table 3). The malaria RDT positivity rate was 36.2 %. The Plasmodium species identified using RDT: 55.0 % were P. falciparum, 40.2 % were P. vivax, and 4.7 % were mixed infections (Table 4). The overall malaria parasite detection rate (either using microscopy or RDT) was 25.1 % (214,259/851,994). And the proportion of Plasmodium species confirmed in PPP facilities consists of 50.7 % were P. falciparum, 45.2 % were P. vivax and 4.1 % were mixed infections (Table 3). Making malaria diagnosis according to the national standards with parasitological confirmation was significantly improved from 87.7 % during the first 3 months to almost 100.0 % in the last 3 months, and PPP for malaria care facilities showed up their commitment with sustaining the results (Fig. 4).
Malaria case management
In this study, at the time of initiation of PPP for malaria care service (April–June 2012) adherence of health workers to the standards of P. falciparum (AL) infection treatment was improved from 47.8 % (2501/5223) to 95.7 % (3417/3567) in the last quarter (July–September 2015) with wide range from 56.0 to 95.1 % achievements for the rest of the quarters (Fig. 5). Similarly, adherence to P. vivax treatment (CQ) was 44.1 % (1425/3225) in the first quarter and 98.1 % (3295/3358) in the last quarter with range 76.3–100.0 % of performance was recorded within the study period (Fig. 6), respectively. The temporal changes of improvements in treatment adherence with the national recommended standards were evaluated using with non- parametric statistics McNemar’s test. Computing the changes in improvement of malaria management of the first against the last quarter for AL and CQ was found statistically significant at P < 0.001 (Table 4).
This study determined the magnitude of malaria among self-reported suspected cases in PPP for malaria care facilities from April 2012 through September 2015 in six regional states of Ethiopia. The study describes the prevalence of Plasmodium species, service beneficiaries by age category, sex and years. In addition, the study documented the significant improvement in adherence of health care providers with national standards recommended for diagnosis and treatment.
The majority 96.0 % of malaria patients treated in selected 110 PPP for malaria care facilities were parasitological confirmed either using microscopy or RDT. This finding is a little higher than the national estimated 60.0 and 84.1 % confirmed malaria patient treated in private and public health facilities in Ethiopia, respectively [3, 22]. This successful achievement could be related to the effective intervention (technical support, joint supportive supervisions, team trainings, mentorships and access to supplies) made by the RHBs and PHSP.
This study revealed that 60 % of malaria patients surveyed in PPP for malaria facilities were males. But this difference significantly reduced when the age of patients falls in the lower age category. This finding is in line with Yukich et al.  and Regassa  describe the presence of higher risk of malaria infection among adults and males in Ethiopia. On the other hand adult males might have better economic position and decision power in seeking medical care than females . In Kenya, a result of large national survey documented females are 1.4 times more likely acquire to malaria than males .
The majority of service beneficiary were accessed malaria care services from private for profit health facilities. In addition, close to one out of ten patients were served in Private not for the profit; workplace health facilities. This result could be due to the fact that the larger groups of PHSP supported facilities are Private for Profit facilities .
The trend of SPR significantly decreases from 39.4 % in the first quarter to 18.4 % in the last quarter (X2 = 4.69, P < 0.001). This significant level of result might be attributed to the reduction in burden of malaria across the whole country , and might be ascribed to the implemented twelve steps PHSP strategies which ensure the quality of services . The average SPR was 25.1 %. This finding was a little higher than the national estimated slide positivity rate 19.0 % . However, Chala and Pertos  for the period ranges from 2001 to 2005 reported overall SPR was 30.9 % in Finchaa Sugar Plantation and Factory site in Ethiopia .
In Ethiopia, the two dominant Plasmodium species known for causes of malaria infection with annual prevalence were 60–70 % P. falciparum and 30–40 % P. vivax [2, 4]. Whereas, in this study, almost one half (50.0 %) were found to be for P. falciparum and 46.0 % were confirmed P. vivax. This research documented a significant difference in proportion of Plasmodium species identified using RDT compared to microscopy. The magnitude of P. falciparum among patients diagnosed using RDT groups was much higher than patients identified using microscopy. Studies reported wide range of difference in prevalence of Plasmodium species for example in North Western Ethiopia 90.0 % P. falciparum were documented in 10 years data from Metema Hospital , while Regassa (2014) found 64 % P. falciparum and 25 % P. vivax in SNNP, Arbamich hospital .
Figures 4 and 5 depicted the trends of appropriate malaria case management to presumed diagnosis, P. falciparum or mixed, and P. vivax infections, respectively. The temporal changes in adherence to recommended treatment for presumed diagnosis, P. falciparum or mixed infection was improved from 47.8 % in the first quarter to 95.7 % in the last quarter. Similarly, adherence to P, vivax infection was improved from 44.1 % in the first quarter and 98.1 % in the last quarter. This finding was much higher than the baseline survey conducted by Argaw (2015) in Ethiopia. However, there are several studies documented improvements in adherence to the standards [10–14, 34–36].
This retrospective descriptive study was made based on collected data for Health Information System. This study unable to determine and analyse other socio demographic characteristics of the clients and other aspects of quality service delivery such as provider client interaction.
This study documented the chronological changes of adherence of health care providers with the national recommended standards to treat malaria. Scaling up of PPP for malaria care services is recommended through partners and the national malaria prevention control programme.
acquired immune deficiency syndrome
Ethiopian Federal Ministry of Health
external quality assurance
human immune deficiency virus
integrated pharmaceutical logistics management system
internal quality control
memorandum of understanding
open data kit
Private Health Sector Programme
public private mix
- PPM- DOTS:
public private mix direct observed therapy short course
public private partnerships
private sector project
roll back malaria
rapid diagnostic test
regional health bureau
Southern Nation Nationalities People
sexually transmitted infections
United State Agency for International Development
World Health Organization
WHO Global Malaria Programme. World malaria report 2015. Geneva: World Health Organization; 2015.
FMOH. National malaria strategic plan (2014–2020). Addis Ababa: Federal Ministry of Health; 2014.
FMOH. Annual performance report of the year 2006 EFY (2013/2014). Addis Ababa: Federal Ministry of Health; 2014.
FMOH. National malaria guidelines. Malaria diagnosis and treatment. 3rd ed. Addis Ababa: Federal Ministry of Health; 2012.
Chala B, Petros B. Malaria in Fincha sugar factory area in western Ethiopia: assessment of malaria as public health problem in Finchaa sugar factory based on clinical records and parasitological surveys, western Ethiopia. J Parasitol Vector Biol. 2011;3:52–8.
WHO. Malaria control today: current WHO recommendations. Geneva: World Health Organization; 2005. http://www.who.int/malaria/publications/mct_workingpaper.pdf. Accessed 4 Aug 2015.
Deressa W, Chibsa S, Olana D. Treatment-seeking of malaria patients in East Shewa Zone of Oromia, Ethiopia. Ethiop J Health Dev. 2003;17:9–15.
Deressa W, Ali A. Malaria-related perception and practices of women with children under the age of five years in rural Ethiopia. BMC Public Health. 2009;9:259.
FMOH. National health account (NHA V): household service utilization and expenditure survey. Addis Ababa: Federal Ministry of Health; 2014.
Rutebemberwa E, Pariyo G, Peterson S, Tomson G, Kallander K. Utilization of public or private health care providers by febrile children after user fee removal in Uganda. Malar J. 2009;8:45.
Cohen J, Cox A, Dickens W, Maloney K, Lam F, Fink G. Determinants of malaria diagnostic uptake in the retail sector: qualitative analysis from focus groups in Uganda. Malar J. 2015;14:89.
WHO Partnerships for malaria control. Engaging the formal and informal private sector. Geneva: World Health Organization; 2006.
Lagomarsino G, Nachuk S, Kundra SS. Public stewardship of private providers in mixed health systems: synthesis report from the rockefeller foundation-sponsored initiative on the role of the private sector in health systems. Washington: Results for Development Institute; 2009.
Bhattacharyya O, Khor S, McGahan A, Dunne D, Daar AS, Singer PA. Innovative health service delivery models in low and middle income countries-what can we learn from the private sector. Health Res Policy Syst. 2010;8:24.
Basu S, Andrews J, Kishore S, Panjabi R, Stuckler D. Comparative performance of private and public healthcare systems in low and middle-income countries: a systematic review. PLoS Med. 2012;9:e1001244.
Schuftan C, Unger JP. The rockefeller foundation’s “public stewardship of private providers in mixed health systems”: a point-by-point critique. Soc Med. 2011;6:128.
WHO. Global technical strategy for malaria 2016–2030. Geneva: World Health Organization; 2015.
RBM. Action and investment to defeat malaria 2016–2030 (AIM)—for a malaria-free world. Geneva: World Health Organization; 2015.
Rao P, Gabre-Kidan T, Mubangizi DB, Sulzbach S. Leveraging the private health sector to enhance HIV service delivery in lower-income countries. J Acquir Immune Defic Syndr. 2011;57:S116–9.
Teshome Y, Bahru E, Eshetu M. Data quality assessment in private health sector program supported health facilities in Ethiopia (July 2013–December 2013). Bethesda: Private Health Sector Health Program (PHSP), Abt Associates Inc; 2014 .
Jerene D, Fentie G, Teka M, Girma S, Chibsa S, Teka H, et al. The role of private health facilities in the provision of malaria case management and prevention services in four zones of Oromia Regional State, Ethiopia. Int Health. 2012;4:70–3.
Argaw MD. Knowledge and practice on malaria diagnosis and treatment among healthcare providers working in private health facilities in Ethiopia. Malar World J. 2015;6:10.
International Finance Corporation. The business of health in Africa: partnering with the private sector to improve people’s lives. Washington: IFC; 2007.
Private Health Sector Program. End of Project Report. Bethesda: Private Health Sector Health Program (PHSP), Abt Associates Inc; 2015.
Yimer YT, Yalew AW. Magnitude and predictors of anti-retroviral treatment (ART) failure in private health facilities in Addis Ababa, Ethiopia. PLoS One. 2015;10:e0126026.
Central Statistical Agency [Ethiopia] and ICF International. Ethiopia demographic and health survey 2011. Addis Ababa, Calverton: Central Statistical Agency and ICF International; 2012.
Stommel M, Wills C. Clinical research. Concepts and principles for advanced practice nurses. Philadelphia: Lippincott, Williams & Wilkins; 2004.
Botma Y, Greeff M, Mulaudzi FM, Wright SCD. Research in health sciences. Cape Town: Pearson Education; 2010.
Regassa B. Magnitude of malaria infection in Ethiopia. Glob Res Med Res. 2014;14:19–21.
Yukich JO, Taylor C, Eisele TP, Reithinger R, Nauhassenay H, Berhane Y, et al. Travel history and malaria infection risk in a low-transmission setting in Ethiopia: a case control study. Malar J. 2013;12:33.
Jenkins R, Omollo R, Ongecha M, Sifuna P, Othieno C, Ongeri L, et al. Prevalence of malaria parasites in adults and its determinants in malaria endemic area of Kisumu County, Kenya. Malar J. 2015;14:263.
Aregawi M, Lynch M, Bekele W, Kebede H, Jima D, Taffese HS, et al. Time series analysis of trends in malaria cases and deaths at hospitals and the effect of antimalarial interventions, 2001–2011, Ethiopia. PLoS One. 2014;9:e106359. doi:10.1371/journal.pone.0106359.
Ferede G, Worku A, Getaneh A, Ahmed A, Haile T, Abdu Y, et al. Prevalence of malaria from blood smears examination: a seven-year retrospective study from Metema Hospital, Northwest Ethiopia. Malar Res Treat. 2013;2013:704730.
Nyandigisi A, Memusi D, Mbithi A, Ang’wa N, Shieshia M, Muturi A, et al. Malaria case-management following change of policy to universal parasitological diagnosis and targeted artemisinin-based combination therapy in Kenya. PLoS One. 2011;6:e24781.
Lourenço C, Kandula D, Haidula L, Ward A, Cohen JM. Strengthening malaria diagnosis and appropriate treatment in Namibia: a test of case management training interventions in Kavango Region. Malar J. 2014;13:508.
Mangham-Jefferies L, Wiseman V, Achonduh OA, Drake TL, Cundill B, Onwujekwe O, et al. Economic evaluation of a cluster randomized trial of interventions to improve health workers’ practice in diagnosing and treating uncomplicated malaria in Cameroon. Value Health. 2014;17:783–91.
MDA has made substantial contribution to conception and design the study, clean the data, analyze the data, interpreted the analysis and draft the manuscript. AGW has been involved in revising it critically for intellectual content. DTA has been involved in collecting, collating the data, and critically review the manuscript. MEA has been involved in critically review the manuscript for intellectual content. MDA the corresponding author submitted the manuscript for publication. All authors read and approved the final manuscript.
The Private Health Sector Program was a USAID funded 6 years project implemented by Abt Associates Inc. with the Cooperative Agreement Number: 663-A-00-09-00434-00. The authors are grateful to the USAID funded Private Health Sector Program for the permission given to this research. We are indebted to all health facilities, data collectors and program managers for their quality of work to the standards. The finding and opinions expressed by the authors may not reflect the views of the employing or funding organizations.
The authors declare that they have no competing interests.
Availability of data and materials
The data is available and can be shared up on request.
Consent for publication
Agreed to publish our article on BMC Malaria Journal.
Ethics approval and consent to participate
Permission to conduct the retrospective data analysis was sought and obtained from Abt Associates Inc.
Private Health Sector Porgramme was funded by USAID. However, for this study no special fund was used.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Argaw, M.D., Woldegiorgis, A.G., Abate, D.T. et al. Improved malaria case management in formal private sector through public private partnership in Ethiopia: retrospective descriptive study. Malar J 15, 352 (2016). https://doi.org/10.1186/s12936-016-1402-7
- Case management
- Public private partnership
- Formal private sector