Skip to main content

Trends and spatial distribution of neonatal sepsis, Uganda, 2016–2020

Abstract

Background

In Uganda, sepsis is the third-leading cause of neonatal deaths. Neonatal sepsis can be early-onset sepsis (EOS), which occurs ≤ 7 days postpartum and is usually vertically transmitted from the mother to newborn during the intrapartum period, or late-onset sepsis (LOS), occurring 8–28 days postpartum and largely acquired from the hospital environment or community. We described trends and spatial distribution of neonatal sepsis in Uganda, 2016–2020.

Methods

We conducted a descriptive incidence study using routinely-reported surveillance data on in-patient neonatal sepsis from the District Health Information System version 2 (DHIS2) during 2016–2020. We calculated incidence of EOS, LOS, and total sepsis as cases per 1,000 live births (LB) at district (n = 136), regional (n = 4), and national levels, as well as total sepsis incidence by health facility level. We used logistic regression to evaluate national and regional trends and illustrated spatial distribution using choropleth maps.

Results

During 2016–2020, 95,983 neonatal sepsis cases were reported, of which 71,262 (74%) were EOS. Overall neonatal sepsis incidence was 17.4/1,000 LB. EOS increased from 11.7 to 13.4 cases/1,000 LB with an average yearly increase of 3% (p < 0.001); LOS declined from 5.7 to 4.3 cases/1,000 LB with an average yearly decrease of 7% (p < 0.001). Incidence was highest at referral hospitals (68/1,000 LB) and lowest at Health Center IIs (1.3/1,000 LB). Regionally, total sepsis increased in Central (15.5 to 23.0/1,000 LB, p < 0.001) and Northern regions (15.3 to 22.2/1,000 LB, p < 0.001) but decreased in Western (23.7 to 17.0/ 1,000 LB, p < 0.001) and Eastern (15.0 to 8.9/1,000, p < 0.001) regions.

Conclusion

The high and increasing incidence of EOS in Uganda suggests a major gap in sepsis prevention and quality of care for pregnant women. The heterogenous distribution of neonatal sepsis incidence requires root cause analysis by health authorities in regions with consistently high incidence. Strengthening prevention and treatment interventions in Central and Northern regions, and in the most affected districts, could reduce neonatal sepsis. Employment of strategies which increase uptake of safe newborn care practices and prevent neonatal sepsis, such as community health worker (CHW) home visits for mothers and newborns, could reduce incidence.

Peer Review reports

Background

Neonatal sepsis is a clinical syndrome that includes pneumonia and meningitis. It is a severe bacterial infection in the first month of life. Early-onset sepsis (EOS) occurs in the first seven days of life and is caused by intrapartum transmission of bacteria from the mother to the neonate [1,2,3]. Late-onset sepsis (LOS) occurs from 8 to 28 days of life and is usually acquired postnatally from the hospital or community environment [1]. Both forms are characterised by a combination of temperature instability, difficulty breastfeeding, seizures, respiratory distress, jaundice, vomiting, diarrhoea, abdominal distention, or diminished activity [4].

Approximately 1.3 million cases of neonatal sepsis occur annually [5], and in 2018, 15% of neonatal deaths globally were due to sepsis [6]. In resource-rich settings with lower neonatal death rates, approximately 9–15% of neonatal deaths are due to sepsis, whereas in resource-limited settings like Africa with high neonatal death rates, sepsis accounts for 23–27% of neonatal deaths [7]. Risk factors for neonatal sepsis include prematurity, low birth weight (< 2.5 kg), premature rupture of membranes, prolonged labour, caesarean section delivery, maternal infection, and lack of antenatal care [5, 8,9,10]. Home births and lack of skilled birth attendants are also associated with increased risk of neonatal sepsis [11]. In 2016, 73% of deliveries in Uganda occurred in healthcare facilities; 74% of deliveries were attended by skilled birth attendants [11]. Diagnosis of neonatal sepsis in Uganda, like other low- and middle-income countries, often relies on a clinical diagnosis of sepsis based on WHO criteria instead of a blood culture as occurs in resource-rich settings [10, 12,13,14,15].

A recent study of neonatal sepsis among facility births in low- and middle-income countries in Asia and Africa found an incidence of 166/1,000 live births (LB) for clinically suspected sepsis, and 47/1,000 LB for laboratory (blood culture)-confirmed sepsis [16]. A systematic review and meta-analysis estimated the pooled neonatal sepsis incidence in the WHO African Region at 52.4 cases/1,000 LB during 1979–2019. Among four studies in low- and middle-income countries conducted during 2009–2018 that reported both clinically-diagnosed and (sometimes) laboratory-confirmed sepsis, the incidence was 39.3/1,000 LB [14].

In Uganda, neonatal sepsis is the third-leading contributor to neonatal mortality, behind birth asphyxia and preterm birth complications. The recommended first-line treatment for neonatal sepsis in Uganda is administration of intravenous ampicillin, with gentamycin and cephalosporins recommended as second-line drugs [15, 17]. Strategies have been implemented to attain the 2030 WHO target of ≤ 12 newborn deaths per 1,000 LB [18]. Despite the implementation of multiple interventions in Uganda during 2002–2016, including kangaroo mother care, breastfeeding within one hour after birth, umbilical cord care, use of tetracycline eye ointment for prevention of eye infections, and vitamin K administration [6, 11, 17, 19], the neonatal mortality rate (NMR) remained essentially unchanged at approximately 27/1,000 LB [11]. The Maternal Perinatal Death Surveillance and Response report for the fiscal year 2019/2020 attributed 12% of newborn deaths in Uganda to neonatal sepsis [20].

While there is some available literature on neonatal sepsis in Uganda [10, 21,22,23], studies describing the distribution of neonatal sepsis cases geographically and over time are rare. We analyzed the trends and spatial distribution of neonatal sepsis in Uganda during 2016–2020 to guide interventions to reduce the incidence of neonatal sepsis and sepsis-related deaths.

Methods

Study setting

Uganda’s projected population for 2022 was 43.7 million with an annual population growth rate of 3.1% [24]. As of 2016, the national fertility rate was 5.4 children per woman, one of the highest in the world, and the crude birth rate was 38.7 per 1,000 population [11]. Uganda has approximately 7,000 health facilities, of which 45% are government-owned, 40% are private-for-profit (PFP), 14% are private-not-for-profit (PNFP), and 1% are community-owned [25]. These health facilities are classified into seven levels: Clinic, Health Centre Two (HC II), Health Centre Three (HC III), Health Centre Four (HC IV), general hospital, regional referral hospital (RRH), and national referral hospital (NRH) (Table 1). Clinic facility services are community based preventive and promotive health services [25].

Table 1 Health facilities by level and region in Uganda

The number, range, and complexity of services increase progressively with the level of the health facility. Maternity services and the recommended intravenous antibiotics for the management of neonatal sepsis are provided at HC III levels and above [25, 26]. The HC IV is the first referral facility that provides comprehensive obstetric and newborn care services in counties where there are no PNFP facilities [27]. Staffing level in public health facilities is at 74% with HC IIs, HC IIIs, HC IVs, and NRHs with 75% positions filled while RRHs have the lowest staffing at 69% [27]. There are approximately 1.9 health workers per 1,000 population compared to the WHO recommendation of 2.8 per 1,000 population needed to achieve universal health coverage [28].

Study design, neonatal sepsis surveillance, and data source

We conducted a descriptive incidence study of routinely-reported, aggregated nationwide surveillance data on inpatient neonatal sepsis during 2016–2020 using the District Health Information System version 2 (DHIS2). DHIS2 is an electronic version of data from Uganda’s Health Management Information System (HMIS). The HMIS is a paper-based reporting system in which health facility data on several conditions, including neonatal sepsis, are reported on a weekly and monthly basis. In DHIS2, neonatal sepsis is categorised as inpatient or outpatient depending on whether the cases were reported in the ‘Health Unit Outpatient Monthly Report- HMIS Form 105’ or in the ‘Health Unit Inpatient Monthly Report- HMIS Form 108.’ Both inpatient and outpatient sepsis are further classified into early-onset (EOS; 0–7 days after birth) and late-onset (LOS; 8–28 days after birth) depending on time of presentation. Sepsis does not have to be lab-confirmed to be included in DHIS2. For the data extracted in this analysis, HMIS data flow from HC III to HC IV level facilities and then to the district. At the district, data from each health facility are entered by the district biostatistician into DHIS2. Regional and national referral hospitals send data directly to the Ministry of Health. At the Ministry of Health, data from all health facilities are collated. Data from 2016 to 2019 were obtained from a previous version of DHIS2 in which each health facility was required to submit just one inpatient monthly report that included all variables. In 2020, the DHIS2 was upgraded and currently requires submission of three inpatient reports per month per facility, including one report each for nationals, foreigners, and refugees.

Study population

The study population comprised all records for infants aged 0–28 days (neonates) treated at health facilities at HC III level and above in Uganda during January 2016-December 2020.

Study variables and data abstraction

For this analysis, we downloaded DHIS2 data elements on neonatal sepsis at 0–7 days of life, at 8–28 days of life, and total LB deliveries in a health unit. Only newborns captured as inpatient cases at health facilities were considered. We also downloaded 2016–2020 data from DHIS2 on the national health facility reporting rates for neonatal sepsis, defined as the proportion of facilities reporting among those expected to report, to identify possible impacts of fluctuations in reporting rates on apparent sepsis incidence; we obtained the combined reporting rate for HC IIIs, HC IVs, general hospitals, and regional and national referral hospitals. Data were exported from DHIS2 to Microsoft Excel and then into Epi Info 7 for analysis.

Data analysis

We calculated incidence rates of EOS, LOS, and total (occurring at infant ages 0–28 days) neonatal sepsis during 2016–2020 at district, regional, and national levels. Incidence rates for total sepsis were also stratified by health facility level. Incidence rate was the number of new sepsis cases per 1,000 LB at health facilities. We reported regional and national trends in neonatal sepsis incidence and reporting rates using line graphs and determined the significance of changes in trends using logistic regression in Epi Info version 7. We calculated and report odds ratios (OR) and 95% confidence intervals (CI) and set statistical significance at p-value < 0.05. We developed choropleth maps using QGIS version 3.6.3 to show the regional and district distributions of neonatal sepsis grouped into four categories. The category ‘0.0’ represents districts that either did not report any case or those that had missing data. The category ‘0.1–17.4’ represents districts that had incidences less than or equal to the total average incidence of 17.4/1,000 LB found in this study. The category ‘17.5–46.9’ represents districts with incidences greater than the total average of 17.4/1,000 LB up to the low- and middle-income countries’ sepsis incidence of 46.9 per 1,000 LB [18] as the cutoff for the highest-burden districts in the map. The last category ’47.0-131.0’ represents districts with incidences greater than low- and middle-income countries’ sepsis incidence and above.

Results

Trends in incidence of inpatient neonatal sepsis nationally, Uganda, 2016–2020

Nationally, a total of 95,983 cases of inpatient neonatal sepsis (EOS and LOS combined) were reported during 2016–2020. Of these, 71,262 (75%) were EOS. On average, 1.7% of all LB neonates delivered in HC III-level facilities and above during the evaluation period experienced sepsis (Table 2).

Table 2 Neonatal sepsis cases and total live births, Uganda, 2016–2020

Overall incidence of total sepsis increased slightly but non-significantly from 2016 to 2020 (p = 0.13) (Fig. 1). There was also an increasing reporting rate for inpatient neonatal sepsis data during 2016–2020 (69–92%) (Fig. 1).

Fig. 1
figure 1

Trends in incidence of total neonatal sepsis and facility reporting rate (proportion of facilities reporting), Uganda, 2016–2020

During 2016–2020, EOS incidence increased from 11.7 to 13.4 cases/1,000 LB, with an average yearly increase of 3% (OR: 1.03, CI: 1.02–1.03, p < 0.0005). Late-onset sepsis declined from 5.7 to 4.3 cases/1,000 LB with an average yearly decrease of 7% (OR: 0.93, CI: 0.92–0.94, p < 0.001) (Fig. 2).

Fig. 2
figure 2

Trends in incidence of early-onset and late-onset neonatal sepsis, Uganda, 2016–2020

Trends in incidence of inpatient neonatal sepsis at regional level, Uganda, 2016–2020

At the regional level, EOS as well as total sepsis incidence increased in the Central and Northern regions but decreased in Western and Eastern Uganda. However, LOS only increased in Central Region during the evaluation period while other regions registered decreases. These changes were statistically significant (Table 3).

Table 3 Changes in neonatal sepsis incidence rates at regional level, Uganda, 2016 and 2020

Spatial distribution of neonatal sepsis incidence rates at district level, Uganda, 2016–2020

We observed higher neonatal sepsis incidences among districts in Western and Northern Uganda compared to those in other regions, although incidence declined in Western Region while there was an increase in the Northern Region. Generally, an increasing number of districts showed incidence rates in the highest category (≥ 47.0/1,000 LB) from 2016 to 2020. The highest number of districts [8] with incidences > 47.0 cases/1,000 LB occurred in 2020, and included three districts (Gulu, Agago, Arua) from Northern Region, three from Western Region (Mbarara, Hoima, Kitagwenda), one from Central Region (Mityana), and one from Eastern Region (Kapchorwa) (Fig. 3).

Fig. 3
figure 3

Spatial distribution of total neonatal sepsis incidence rates, Uganda, 2016–2020

Incidence rate of inpatient neonatal sepsis at health facility level, Uganda, 2016–2020

Incidence of sepsis was highest in regional and national referral hospitals (the highest levels of health care) and decreased with each successive decreasing level of health care (Fig. 4).

Fig. 4
figure 4

Total neonatal sepsis incidence rate by health facility level, Uganda, 2016–2020

Discussion

Public health interventions to reduce neonatal morbidity and mortality, including those aimed at reducing neonatal sepsis, require monitoring to evaluate their impact. We found a neonatal sepsis incidence rate of 17.4/1,000 LB in Ugandan healthcare facilities (1.7% of all LB) during 2016–2020. Three-quarters of these cases were EOS. While LOS rates declined nationally over the study period, EOS rates increased. The increase in reporting rate of 

neonatal sepsis data likely contributed to the increase in incidence. Regional and national hospitals had higher sepsis incidence compared with lower-level health facilities.

The finding of predominantly EOS in this study is similar to the 2.6-fold higher incidence of EOS than LOS that was reported globally [14] and to the 80% EOS proportion among all sepsis that was found in a hospital-based study in southwestern Uganda [29]. In contrast to our findings, a study in India revealed that the ratio of LOS to EOS cases from 1998 to 2019 was approximately 3:1 [30]. However, the study in India utilized community-based data, which are more likely to include higher proportions of LOS, compared to facility-based data.

Regional and national hospitals had higher sepsis incidence compared with lower-level health facilities. This could potentially be due to the specialised care available at higher-level facilities, which may encourage people with serious conditions to seek care at these facilities first, or be referred there. Nalwadda et al. [31] reported that the availability of newborn sepsis drugs at HC IIs (8%) was much lower than it was for HC IIIs (67%), or HC IVs and hospitals (75%).

The decline in LOS rates from 2016 to 2020 suggests improvements in newborn care in the neonatal period in Uganda. Uganda national demographic data show increasing rates of healthcare worker checks (by a doctor, nurse, midwife, CHW, or traditional birth attendant) within two days of birth from 33% to 2011 [32] to 54% in 2016 [11]. Increased coverage of postnatal visits could contribute to decreased LOS as it provides opportunities for health education on infection prevention and control for mothers and newborn caregivers.

Although overall rates of EOS increased in the Central and Northern regions, they decreased in the Western and Eastern regions. LOS increased in the Central Region but decreased in the three other regions. Incidences of both EOS and LOS could have increased in the Central Region because of a combination of having all the NRHs [25] and being the most highly populated region [24]. NRHs have the highest level of specialized care and handle complicated obstetric and neonatal cases from all regions. A bigger population in Central Region represents a higher patient population with its resultant effects including overcrowding at health facilities, stockouts of drugs, and staff shortage which are likely risks for neonatal sepsis in constrained health systems.

In Nigeria, LOS was associated with delivery outside of a health facility [33]. In Uganda, a decline in home deliveries from 42% in 2011 [32] to 26% in 2016 [11] was accompanied by an increase in health facility deliveries from 57% in 2011 to 73% in 2016 [11]. These may have contributed to declines in LOS seen in three of Uganda’s four regions. Beyond this, several interventions and studies in the Eastern region may have had persistent impact on neonatal sepsis. The Uganda Newborn Study (UNEST) was conducted in two districts of Eastern Region in 2011, and evaluated a home visit package by CHWs alongside health facility strengthening [34]. UNEST aimed to provide context-specific information on strategies for improved newborn care following a joint WHO and UNICEF recommendation of home visits for improved newborn survival in high-mortality settings [35]. This study led to increases in skilled attendance at births. Place of delivery notwithstanding, home visits from CHWs improved newborn care practices in Eastern Region, including dry umbilical cord care and identification of danger signs of illness [34]. Further evidence in Uganda, Malawi and South Asia shows that the use of CHWs to deliver care to mothers and newborns has the potential to prevent neonatal sepsis [30, 36] and promote newborn care practices [37, 38]. Since EOS usually results from infection acquired in utero or during the birth process, the periods preceding and immediately after birth present important preventive periods. Thus, expanding the use of CHW practices in Uganda may facilitate reductions in EOS as well. Guidelines to improve essential maternal and newborn care were launched in October 2021 by the Ministry of Health. These guidelines highlight general management of newborns that reduces development of sepsis and stipulate recommended treatment [17]. Widespread rollout and implementation of these guidelines by the Ministry of Health might improve maternal and neonatal outcomes. Routine care for all pregnant women and neonates includes ensuring a clean delivery environment [39]. Health workers should continuously strive to create hygienic birthing environments. Harnessing antenatal care visits as points for education of pregnant women on neonatal sepsis prevention strategies may facilitate reductions in sepsis.

Our study had limitations. First, we were unable to identify duplicate records for neonatal sepsis cases that may have been referred from one facility to another. Second, the cases reported in DHIS2 are only those that make it to the health facilities. This almost certainly led to an underestimation of the overall burden of neonatal sepsis due to healthcare access bias. This underestimation would particularly affect estimates of LOS. In addition, the reporting rate for the study increased over time from 69% in 2016 to 92% by 2020. This likely led to underestimates of total cases in the early years of the study period; however, since we were comparing rates, it may or may not have affected the interpretation of results. Neonatal sepsis diagnosis in resource limited settings like Uganda does not have to be laboratory confirmed. This could have led to overdiagnosis.

The increase in health facility deliveries in Uganda over the years could have contributed to the increased detection and incidence of neonatal sepsis. Additionally, we were unable to ascertain the proportion of deliveries occurring at home due to incomplete reporting of home births in the DHIS2.

Conclusion

Despite advances in health care, neonatal sepsis especially in the first seven days of life remains a challenge in Uganda. Scaling up preventive measures in the most affected settings, including in Central and Northern Uganda, the most affected districts, and at regional and national referral hospitals, could potentially reduce the burden of neonatal sepsis. Mothers should be encouraged to identify signs of infection they may be harbouring especially towards term pregnancy so that they seek treatment early. Home visits for essential newborn care by CHWs should be scaled up and widely implemented as their utility has been demonstrated in settings with substantial proportions of home births.

Data Availability

The data upon which our findings are based belongs to the Uganda Ministry of Health and cannot be shared publicly. However, it can be made available by the corresponding author with permission from the Ministry of Health Uganda, Division of Health Information and Uganda Public Health Fellowship Program.

Abbreviations

DHIS2:

District Health Information System version 2

EOS:

Early-onset sepsis

FY:

Financial year

HMIS:

Health Management Information System

LB:

Live-birth

LOS:

Late-onset sepsis

MPDSR:

Maternal Perinatal Death Surveillance and Response

NMR:

Neonatal Mortality Rate

PFP:

Private for Profit

PNFP:

Private Not for Profit

RRH:

Regional Referral Hospital

References

  1. Camacho-Gonzalez A, Spearman PW, Stoll BJ. Neonatal infectious diseases: evaluation of neonatal sepsis. Pediatr Clin. 2013;60(2):367–89.

    Google Scholar 

  2. Cortese F, Scicchitano P, Gesualdo M, Filaninno A, De Giorgi E, Schettini F, et al. Early and late infections in newborns: where do we stand? A review. Pediatr Neonatology. 2016;57(4):265–73.

    Article  Google Scholar 

  3. Mukhopadhyay S, Puopolo KM, editors. Risk assessment in neonatal early onset sepsis. Seminars in perinatology. Elsevier; 2012.

  4. Tesina BL. Neonatal Sepsis 2020 [Available from: https://www.msdmanuals.com/professional/pediatrics/infections-in-neonates/neonatal-sepsis.

  5. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of Disease Study 2017. The Lancet. 2018;392(10159):1789–858.

    Article  Google Scholar 

  6. UNICEF. Levels and Trends in Child Mortality. New York, USA; 2019.

  7. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. The Lancet. 2012;379(9832):2151–61.

    Article  Google Scholar 

  8. Beletew B, Kassie A, Getu MA. Neonatal sepsis and its associated factors in East Africa: a systematic review and meta-analysis, 2019. 2019.

  9. Chan GJ, Lee AC, Baqui AH, Tan J, Black RE. Risk of early-onset neonatal infection with maternal infection or colonization: a global systematic review and meta-analysis. PLoS Med. 2013;10(8):e1001502.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kayom VO, Mugalu J, Kakuru A, Kiguli S, Karamagi C. Burden and factors associated with clinical neonatal sepsis in urban Uganda: a community cohort study. BMC Pediatr. 2018;18(1):1–8.

    Article  Google Scholar 

  11. UBOS ICF. Uganda Demographic and Health Survey 2016: Key Indicators Report. Kampala, Uganda and Maryland. USA: Uganda Bureau of Statistics (UBOS), ICF; 2017.

    Google Scholar 

  12. Mugalu J, Nakakeeto M, Kiguli S, Kaddu–Mulindwa DH. Aetiology, risk factors and immediate outcome of bacteriologically confirmed neonatal septicaemia in Mulago hospital. Uganda Afr Health Sci. 2006;6(2):120–6.

    CAS  PubMed  Google Scholar 

  13. WHO. IMCI integrated management of childhood illness. Geneva: World Health Organization; 2005.

    Google Scholar 

  14. Fleischmann C, Reichert F, Cassini A, Horner R, Harder T, Markwart R, et al. Global incidence and mortality of neonatal sepsis: a systematic review and meta-analysis. Archives of Disease in Childhood; 2021.

  15. Ministry of Health. Uganda Clinical Guidelines. 2016: National Guidelines for Management of Common Conditions. In: Department P, editor. Kampala, Uganda: Ministry of Health; 2016.

  16. Milton R, Gillespie D, Dyer C, Taiyari K, Carvalho MJ, Thomson K, et al. Neonatal sepsis and mortality in low-income and middle-income countries from a facility-based birth cohort: an international multisite prospective observational study. The Lancet Global Health. 2022;10(5):e661–e72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ministry of Health. In: Health RC, editor. Essential maternal and newborn Clinical Care Guidelines for Uganda. Kampala, Uganda: Ministry of Health; 2021.

    Google Scholar 

  18. Lawn J, Kinney M, Blencowe H. Every newborn. An executive summary for the Lancet’s Series. Lancet. 2014;384(9938):1–8.

    Google Scholar 

  19. Mbonye AK, Sentongo M, Mukasa GK, Byaruhanga R, Sentumbwe-Mugisa O, Waiswa P, et al. Newborn survival in Uganda: a decade of change and future implications. Health Policy Plann. 2012;27(suppl3):iii104–iii17.

    Article  Google Scholar 

  20. Ministry of Health. The National Annual maternal and perinatal death surveillance and response (MPDSR) Report FY 2019/2020. Uganda: Kampala; 2020.

    Google Scholar 

  21. Tumuhamye J, Sommerfelt H, Bwanga F, Ndeezi G, Mukunya D, Napyo A, et al. Neonatal sepsis at Mulago national referral hospital in Uganda: etiology, antimicrobial resistance, associated factors and case fatality risk. PLoS ONE. 2020;15(8):e0237085.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. John B, David M, Mathias L, Elizabeth N. Risk factors and practices contributing to newborn sepsis in a rural district of Eastern Uganda, August 2013: a cross sectional study. BMC Res Notes. 2015;8(1):1–11.

    Article  Google Scholar 

  23. Waiswa P, Kallander K, Peterson S, Tomson G, Pariyo GW. Using the three delays model to understand why newborn babies die in eastern Uganda. Tropical Med Int Health. 2010;15(8):964–72.

    Article  Google Scholar 

  24. UBOS. National Population and Housing Census. 2014. Kampala, Uganda: Uganda Bureau of Statistics; 2016.

  25. Ministry of Health. National Health Facility Master List 2018. Kampala, Uganda: Ministry of Health; 2018.

    Google Scholar 

  26. Ministry of Health. Essential Medicines and Health Supplies List for Uganda (EMHSLU) 2016. Kampala, Uganda: Ministry of Health; 2016.

    Google Scholar 

  27. Ministry of Health. Annual Health Sector Performance Report Financial Year 2020/21. 2021.

  28. Ministry of Health. Annual Health Sector Performance Report, Financial Year 2019/20. Kampala, Uganda: Ministry of Health; 2020.

    Google Scholar 

  29. Kiwanuka J, Bazira J, Mwanga J, Tumusiime D, Nyesigire E, Lwanga N, et al. The microbial spectrum of neonatal sepsis in Uganda: recovery of culturable bacteria in mother-infant pairs. PLoS ONE. 2013;8(8):e72775.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Bang A, Deshmukh M, Baitule S, Duby J. Decline in the incidence of neonatal Sepsis in rural Gadchiroli, India during the twenty-one years (1998–2019) following the home-based neonatal care field-trial. Pediatr Infect Dis J. 2021;40(11):1029–33.

    Article  PubMed  Google Scholar 

  31. Nalwadda CK, Peterson S, Tomson G, Guwatudde D, Kiguli J, Namazzi G, et al. Health system preparedness for newborn care: a health facility assessment in rural Uganda. BMC Health Serv Res. 2014;14(2):1.

    Google Scholar 

  32. UBOS, Kampala. Uganda Demographic and Health Survey 2011. Uganda and Maryland: UBOS & ICF International Inc.; 2012.

    Google Scholar 

  33. Ogundare E, Akintayo A, Aladekomo T, Adeyemi L, Ogunlesi T, Oyelami O. Presentation and outcomes of early and late onset neonatal sepsis in a nigerian hospital. Afr Health Sci. 2019;19(3):2390–9.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Waiswa P, Pariyo G, Kallander K, Akuze J, Namazzi G, Ekirapa-Kiracho E, et al. Effect of the Uganda Newborn Study on care-seeking and care practices: a cluster-randomised controlled trial. Global Health Action. 2015;8(1):24584.

    Article  PubMed  Google Scholar 

  35. WHO. Home visits for the newborn child: a strategy to improve survival. World Health Organization; 2009.

  36. Mangwi Ayiasi R, Kolsteren P, Batwala V, Criel B, Orach CG. Effect of village health team home visits and mobile phone consultations on maternal and newborn care practices in Masindi and Kiryandongo, Uganda: a community-intervention trial. PLoS ONE. 2016;11(4):e0153051.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Okuga M, Kemigisa M, Namutamba S, Namazzi G, Waiswa P. Engaging community health workers in maternal and newborn care in eastern Uganda. Global Health Action. 2015;8(1):23968.

    Article  PubMed  Google Scholar 

  38. Sitrin D, Guenther T, Waiswa P, Namutamba S, Namazzi G, Sharma S, et al. Improving newborn care practices through home visits: lessons from Malawi, Nepal, Bangladesh, and Uganda. Global Health Action. 2015;8(1):23963.

    Article  PubMed  Google Scholar 

  39. Gabrysch S, Civitelli G, Edmond KM, Mathai M, Ali M, Bhutta ZA, et al. New signal functions to measure the ability of health facilities to provide routine and emergency newborn care. PLoS Med. 2012;9(11):e1001340.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Ministry of Health, Division of Health Information and the Uganda Public Health Fellowship Program for permitting us to use these data.

Funding

This secondary data analysis was supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through US Centre for Disease Control and Prevention Cooperative Agreement number GH001353–01 through Makerere University School of Public Health to the Uganda Public Health Fellowship Program, Ministry of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

SMM conceptualized the study, analysed data, wrote and edited the manuscript. RM and DM contributed to conception of the paper. EK, MN, RM, DM, BK, LB, ARA contributed to data interpretation, drafting manuscript. AK and PN provided technical assistance in creating maps. EK, MN, RM, DM, BK, LB, DK, and ARA provided guidance in writing and reviewing the manuscript. All authors approved the manuscript for publication.

Corresponding author

Correspondence to Stella M. Migamba.

Ethics declarations

Ethics approval and consent to participate

All methods for this study were performed in accordance with relevant guidelines and regulations. We obtained permission to use this HMIS data from the Ministry of Health (MoH) Uganda which is the custodian of the data. The Uganda Public Health Fellowship Program is part of the National Rapid Response Team, and has been granted permission to access and analyse surveillance data in the DHIS-2 and other data such as survey and field investigation data to inform decision making in the control and prevention of outbreaks and public health programming by the MoH. The MOH has also granted the program permission to disseminate the information through scientific publications. Additionally, although our training program (Field Epidemiology Training Program, or Uganda Public Health Fellowship Program) does not receive publication support from the US government, the fieldwork itself is funded by US government funds. Because of this funding source and because the funding is earmarked for ‘non-research’ work, all of our work needs to be reviewed by US CDC to determine if it is research or not research. The US CDC issued documentation (a non-research determination form) that categorized this work as non-research, and therefore exempted it from full IRB review. The primary intent of this analysis was improving public health practice. The study protocol for this analysis was reviewed in accordance with the Declaration of Helsinki and the CDC policy. This study utilized routinely reported aggregated surveillance data that did not have personally identifying information. We stored the data in password-protected computers which were only accessible by members of the study team.

Consent for publication

Not applicable.

Competing interests

None declared.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Migamba, S.M., Kisaakye, E., Komakech, A. et al. Trends and spatial distribution of neonatal sepsis, Uganda, 2016–2020. BMC Pregnancy Childbirth 23, 770 (2023). https://doi.org/10.1186/s12884-023-06037-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-023-06037-y

Keywords