Open Access

Improved malaria case management in formal private sector through public private partnership in Ethiopia: retrospective descriptive study

  • Mesele D. Argaw1Email author,
  • Asfawesen GY. Woldegiorgis1,
  • Derebe T. Abate1 and
  • Mesfin E. Abebe1
Malaria Journal201615:352

https://doi.org/10.1186/s12936-016-1402-7

Received: 8 March 2016

Accepted: 17 June 2016

Published: 11 July 2016

Abstract

Background

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.

Methods

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.

Results

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).

Conclusions

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.

Keywords

Malaria Case management Public private partnership Formal private sector

Background

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 [1].

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 [2]. 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 [3].

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 [35].

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 [79].

On one hand, evidences from countries with different modality working with private health sector on malaria case management revealed improved quality of services [1014]. 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 [1]. 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 [17]. 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 [19]. However, very few studies were documented on the role of private health facilities on malaria control and the quality of care in Ethiopia [2123]. 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 [21]. 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 [17]. 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.

Methods

Study area

Ethiopia is located in the horn of Africa with an area of estimated 1.1 million sq. km [26]. This data analysis covers five regional state and one city administration where over 54.5 million people live at risk of malaria [3].

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) [24].
Fig. 1

Map of location of Ethiopia in Africa and distribution of PPP for malaria care facilities. Map of study area with distribution of Public Private partnership for malaria care health facilities in Ethiopia

Foundation

PHSP has implemented its project using its programme implementation strategies [24] 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 [24]. 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.
Fig. 2

Private health sector programme implementation strategies. Figure depicting the step ladder fashion implementation strategies followed by the project which includes foundation, capacity building, service delivery, exit and continuous quality improvement cycles

Capacity building

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.

Service delivery

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 [24].

Quality assurance

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 [24].

Data collection methods and data quality

This retrospective descriptive study [27] 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 % [20].

Data analysis

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 [27] (Frequency distribution and line graphs for trend analysis) were made. Botma et al. [28] 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 [28].

Ethical clearance

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.

Results

Descriptive information

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).
Table 1

Malaria suspected, parasitological confirmed and clinically identified malaria cases in Ethiopia, April 2012–September 2015

Years

Malaria suspected cases

Investigated for malaria

%

Malaria cases (confirmed + clinical)a

%

Confirmed malaria cases

%

Clinical malaria cases

%

2012 (1)

71,800

62,455

87.0

26,817

37.3

24,698

92.1

2119

7.9

2013 (2)

292,986

288,225

98.4

89,985

30.7

84,080

93.4

5905

6.6

2014 (3)

336,250

328,760

97.8

74,566

22.2

73,673

98.8

893

1.2

2015 (4)

172,671

172,554

99.9

31,925

18.5

31,808

99.6

117

0.4

Grand total

873,707

851,994

97.5

223,293

25.6

214,259

96.0

9034

4.0

aχ2 = 14.061, df = 3, χ2/df = 4.69, P (χ2 >14.061) = 0.0028

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).
Table 2

Distribution of malaria by age, sex and pregnancy status in Ethiopia, April 2012–September 2015

Year

0–4 years

5–14 years

15 + years

Males

Females

M

F

M

F

M

F

Freq.

%

Freq.

%

2012 (1)

2495

1813

2361

1862

10,490

7796

15,346

57.2

11,471

42.8

2013 (2)

8207

6282

8910

6434

35,987

24,165

53,104

59.0

36,881

41.0

2014 (3)

6145

4685

6260

4832

32,830

19,814

45,235

60.6

29,331

39.3

2015 (4)

2296

1708

2468

1918

15,427

8108

20,191

63.2

11,734

36.7

Grand total

19,143

14,488

19,999

15,046

94,734

59,883

133,876

60.0

89,417

40.0

Fig. 3

Pie chart depicted proportion of malaria care services beneficiaries by ownership of facilities, April 2012–September 2015 (n = 223, 293)

Malaria diagnosis

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).
Table 3

Malaria parasite detection rates using either Microscopy or RDT in PPP facilities Ethiopia, April 2012–September 2015

Year

Test type

Test done

Positive

Prevalence %

Pf

Pf %

Pv

Pv %

Mixed Pf/Pv

Mixed %

2012 (1)

BF

60,727

23,925

39.4

12,825

53.6

9503

39.7

1597

6.7

RDT

1728

773

44.7

415

53.7

291

37.6

67

8.7

BF and RDT

62,455

24,698

39.5

13,240

53.6

9794

39.7

1664

6.7

2013 (2)

BF

271,680

77,404

28.5

38,936

50.3

34,362

44.4

4106

5.3

RDT

16,545

6676

40.4

3955

59.2

2558

38.3

163

2.4

BF and RDT

288,225

84,080

29.2

42,891

51.0

36,920

43.9

4269

5.1

2014 (3)

BF

307,573

66,407

21.6

34,264

51.6

30,385

45.8

1758

2.6

RDT

21,187

7266

34.3

4185

57.6

2673

36.8

408

5.6

BF and RDT

328,760

73,673

22.4

38,449

52.2

33,058

44.9

2166

2.9

2015 (4)

BF

167,295

30,330

18.1

13,768

45.4

15,998

52.7

564

1.9

RDT

5259

1478

28.1

356

24.1

995

67.3

127

8.6

BF and RDT

172,554

31,808

18.4

14,124

44.4

16,993

53.4

691

2.2

Sub total BF

807,275

198,066

24.5

99,793

50.4

90,248

45.6

8025

4.1

Sub total RDT

44,719

16,193

36.2

8911

55.0

6517

40.2

765

4.7

Grand total

851,994

214,259

25.1

108,704

50.7

96,765

45.2

8790

4.1

Annual summary are presented with italics font

Table 4

Number of regions, health facilities, adherence to laboratory investigation and recommended treatment (April 2012–September 2015)

Time/quarter

Number of active regions

Malaria lab test done

%

Positive laboratory test

%

Appropriate AL (Coarterm)

%

Appropriate CQ (Chloroquine)

%

Private health facilities

Malaria suspected

Malaria lab test done

AL illegible

CQ illegible

Apr–Jun 2012

2

17,984

87.77

7220

40.15 

2501

47.88 

1425

44.19 

 

39

20,489

 

17,984

 

5223

 

3225

 

Jul–Sep 2012

3

44,471

86.67

17,478

39.30 

9648

81.76 

6569

100.00 

 

57

51,311

 

44,471

 

11,800

 

6569

 

Oct–Dec 2012

3

67,511

96.67

24,569

36.39 

10,750

68.22 

7293

76.36 

 

57

69,834

 

67,511

 

15,758

 

9551

 

Jan–Mar 2013

4

69,091

98.61

18,037

26.11 

6982

56.08 

6483

70.40 

 

77

70,062

 

69,091

 

12,449

 

9209

 

Apr–Jun 2013

4

78,297

99.61 

20,216

25.82 

9825

86.25 

6706

71.01 

 

78

78,606

 

78,297

 

11,391

 

9444

 

Jul–Sep 2013

5

73,326

98.44 

21,258

28.99 

10,076

74.82 

5727

65.71 

 

88

74,485

 

73,326

 

13,467

 

8716

 

Oct–Dec 2013

6

96,721

93.40 

27,901

28.85 

14,373

85.65 

9507

83.81 

 

100

103,551

 

96,721

 

16,781

 

11,344

 

Jan–Mar 2014

6

85,498

99.83 

17,357

20.30 

8897

99.02 

8421

98.84 

 

110

85,645

 

85,498

 

8985

 

8520

 

Apr–Jun 2014

6

72,869

99.79 

12,552

17.23 

6108

97.43 

6320

98.11 

 

110

73,019

 

72,869

 

6269

 

6442

 

Jul–Sep 2014

6

73,673

99.51 

15,863

21.53 

9082

95.87 

6699

99.22 

 

99

74,035

 

73,673

 

9473

 

6752

 

Oct–Dec 2014

4

51,875

99.91 

12,255

23.62 

5402

81.99 

5354

93.68 

 

41

51,924

 

51,875

 

6589

 

5715

 

Jan–Mar 2015

4

42,766

99.96 

6526

15.26 

2167

98.10 

4264

98.41 

 

43

42,782

 

42,766

 

2209

 

4333

 

Apr–Jun 2015

4

37,546

99.86 

6103

16.25 

2442

95.13 

3587

100.00 

 

43

37,597

 

37,546

 

2567

 

3587

 

Jul–Sep 2015

4

40,367

100.00 

6924

17.15 

3417

95.79 

3295

98.12 

 

43

40,368

 

40,367

 

3567

 

3358

 

Total

 

851,995

97.51 

214,259

25.15 

101,670

80.35 

81,735

84.47 

  

873,708

 

851,995

 

126,528

 

96,765

 
 

McNemar’s test

66.84

P < 0.001

26.67

P < 0.001

12.89

P < 0.001

11.62

P < 0.001

Fig. 4

Line chart showing the proportion of confirmed malaria cases treated by region, 2012–2015

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).
Fig. 5

Trends of appropriate treatment using AL (Coartem®) in PPP malaria facilities, Ethiopia, 2012–2015. Line graphs showing adherence of health care providers to the nationally recommended treatment for Plasmodium falciparum malaria, mixed malaria and clinical diagnosis malaria

Fig. 6

Trends of appropriate treatment using chloroquine (CQ) in PPP malaria facilities, Ethiopia, 2012–2015

Discussion

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. [29] and Regassa [30] 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 [5]. In Kenya, a result of large national survey documented females are 1.4 times more likely acquire to malaria than males [31].

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 [24].

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 [32], and might be ascribed to the implemented twelve steps PHSP strategies which ensure the quality of services [24]. The average SPR was 25.1 %. This finding was a little higher than the national estimated slide positivity rate 19.0 % [3]. However, Chala and Pertos [5] for the period ranges from 2001 to 2005 reported overall SPR was 30.9 % in Finchaa Sugar Plantation and Factory site in Ethiopia [5].

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 [33], while Regassa (2014) found 64 % P. falciparum and 25 % P. vivax in SNNP, Arbamich hospital [29].

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 [1014, 3436].

Limitations

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.

Conclusions

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.

Abbreviations

AIDS: 

acquired immune deficiency syndrome

AL: 

artemether-lumefantrine

CQ: 

chloroquine

EFMOH: 

Ethiopian Federal Ministry of Health

EQA: 

external quality assurance

FP: 

family planning

HIV: 

human immune deficiency virus

IPLS: 

integrated pharmaceutical logistics management system

IQC: 

internal quality control

MOU: 

memorandum of understanding

ODK: 

open data kit

PHSP: 

Private Health Sector Programme

PPM: 

public private mix

PPM- DOTS: 

public private mix direct observed therapy short course

PPP: 

public private partnerships

PSP: 

private sector project

RBM: 

roll back malaria

RDT: 

rapid diagnostic test

RHB: 

regional health bureau

SNNP: 

Southern Nation Nationalities People

STI: 

sexually transmitted infections

TB: 

tuberculosis

USAID: 

United State Agency for International Development

WHO: 

World Health Organization

Declarations

Authors’ contributions

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.

Acknowledgements

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.

Competing interests

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.

Funding

Private Health Sector Porgramme was funded by USAID. However, for this study no special fund was used.

Open AccessThis 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.

Authors’ Affiliations

(1)
Private Health Sector Project, Abt Associates Inc. In Ethiopia

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