Conceived and designed the experiments: DS AM GD TR. Performed the experiments: DS AM RK AS MK GD. Analyzed the data: DS AM GD TR. Contributed reagents/materials/analysis tools: RK AS MC BK SY MK GD TR. Wrote the paper: DS AM MC BK SY GD TR.
A better understanding of case management practices is required to improve inpatient pediatric care in resource-limited settings. Here we utilize data from a unique health facility-based surveillance system at six Ugandan hospitals to evaluate the quality of pediatric case management and the factors associated with appropriate care.
All children up to the age of 14 years admitted to six district or regional hospitals over 15 months were included in the study. Four case management categories were defined for analysis: suspected malaria, selected illnesses requiring antibiotics, suspected anemia, and diarrhea. The quality of case management for each category was determined by comparing recorded treatments with evidence-based best practices as defined in national guidelines. Associations between variables of interest and the receipt of appropriate case management were estimated using multivariable logistic regression.
A total of 30,351 admissions were screened for inclusion in the analysis. Ninety-two percent of children met criteria for suspected malaria and 81% received appropriate case management. Thirty-two percent of children had selected illnesses requiring antibiotics and 89% received appropriate antibiotics. Thirty percent of children met criteria for suspected anemia and 38% received appropriate case management. Twelve percent of children had diarrhea and 18% received appropriate case management. Multivariable logistic regression revealed large differences in the quality of care between health facilities. There was also a strong association between a positive malaria diagnostic test result and the odds of receiving appropriate case management for comorbid non-malarial illnesses - children with a positive malaria test were more likely to receive appropriate care for anemia and less likely for illnesses requiring antibiotics and diarrhea.
Appropriate management of suspected anemia and diarrhea occurred infrequently. Pediatric quality improvement initiatives should target deficiencies in care unique to each health facility, and interventions should focus on the simultaneous management of multiple diagnoses.
The leading causes of childhood death in sub-Saharan Africa—malaria, pneumonia, malnutrition, and diarrhea—are both treatable and preventable, yet one in ten children do not survive until their fifth birthday [
In 2010, the Uganda Malaria Surveillance Project (UMSP) and the National Malaria Control Program (NMCP) created a health facility-based surveillance program to prospectively track trends in disease burden, treatment practices, and clinical outcomes of pediatric inpatients at six government-run Ugandan hospitals. UMSP comprises four main components: 1) implementation of a standardized medical record form (MRF) to prospectively capture data on all pediatric admissions, 2) training in malaria case management conducted at the time of MRF implementation, 3) emphasis on malaria diagnosis by laboratory confirmation, and 4) periodic review of collected malaria data with each health facility to facilitate discussions on how to improve data quality and treatment practices. While the program initially focused on malaria surveillance, high-quality data on non-malarial illness was also collected.
Our aim with this analysis was to utilize data from UMSP to evaluate the quality of inpatient pediatric care at participating hospitals across a range of illnesses. As a demonstration project we focused our analysis on four case management categories: diagnosis and management of suspected malaria, antibiotic usage for selected illnesses (pneumonia, malnutrition, sepsis, meningitis, and tetanus), diagnosis and management of suspected anemia, and management of diarrhea. Quality care was defined with reference to evidence-based best practices promoted by the Uganda Ministry of Health and published in
The UMSP health facility-based inpatient surveillance program was implemented between 2010 and 2011 at six health facilities in Uganda (
UMSP surveillance data were collected on an individual-level, using the standardized medical record form (MRF) (
Prior to the implementation of the surveillance program at each of the six health facilities, hospital staff received a two-day training on the use of the new MRF and the importance of clear documentation and data quality in relation to disease surveillance. Training also focused on the basics of malaria case management with an emphasis on the use of diagnostic testing, withholding antimalarial medications for patients with a negative diagnostic test, and investigating non-malarial causes of febrile illness after a negative diagnostic test. Following the implementation of surveillance, each health facility received one-day follow-up visits two to three times a year. At these visits data were shared with clinicians and hospital administrators regarding malaria case management, all-cause inpatient mortality, and data quality. Malaria case management focused on increasing the utilization of diagnostic testing. Staff at each health facility were able to see how their data compared to those from the other five participating health facilities and discussions were held about how to improve data quality and treatment practices. In addition to these workshops, each health facility also received laboratory support for malaria blood smears in the form of a steady supply of reagents and slides, additional training for microscopists, and microscopy quality assurance.
All children under the age of 14 years admitted from October 1, 2012 to December 31, 2013 were screened for inclusion in the analysis. October of 2012 was selected as the start of the study as this date included data captured following modifications to the MRF and allowed the health facilities to have at least one year of experience with the new surveillance system. Four case management categories were selected for analysis: suspected malaria, illnesses requiring antibiotics (pneumonia, malnutrition, sepsis, meningitis, and tetanus), suspected anemia, and diarrhea. These categories were selected as they 1) represent common high burden diseases and clinical presentations encountered in the hospitals, 2) were associated with evidence-based case management practices that were recommended in
| Case management category | Subcategory | Uganda/WHO best practice | Best practice used in this analysis |
|---|---|---|---|
| Fever | 1) If available, blood smear or RDT for malaria, urinalysis, and blood culture; 2) comprehensive history and physical to determine cause of fever; 3) paracetamol for temperature ≥ 39°C if age ≥ 2 months | Blood smear or RDT for malaria | |
| Negative malaria test | 1) No antimalarial | No antimalarial | |
| Severe malaria | 1) Properly classify as severe malaria; 2) parenteral artesunate (preferred), artemether, or quinine | Parenteral artesunate, artemether, or quinine | |
| Uncomplicated malaria | 1) Properly classify as uncomplicated malaria; 2) artemisinin-based combination therapy (ACT) | ACT or parenteral artesunate, artemether, or quinine | |
| Pneumonia | 1) Classify as severe or uncomplicated; 2) provide oxygen if oxygen saturation <90%; 3) chest x-ray if available; 4) antibiotics (regimen dependent on severity and age of child) | Any antibiotic | |
| Malnutrition | 1) Comprehensive history and physical to determine cause of malnutrition; 2) antibiotics (regimen dependent on severity); 3) assess for vitamin A deficiency, HIV infection, and parasitic worms; treat as indicated; 4) correct micronutrient deficiencies; 5) initiate appropriate feeding regimen | Any antibiotic | |
| Sepsis | 1) Comprehensive history and physical to determine cause of sepsis; 2) if available, blood smear or RDT for malaria, urinalysis, blood culture, and chest x-ray; 3) antibiotics (regimen dependent on suspected source and age of child) | Any antibiotic | |
| Meningitis | 1) Perform lumbar puncture unless signs of elevated intracranial pressure; 2) antibiotics (regimen dependent on lumbar puncture and age of child) | Ceftriaxone, chloramphenicol, gentamicin, ampicillin, or penicillin | |
| Tetanus | 1) Clean wounds, remove necrotic tissue; 2) penicillin or metronidazole; tetanus immunoglobulin or antitoxin | Penicillin, metronidazole, or chloramphenicol | |
| Pallor | 1) Hemoglobin testing | Hemoglobin testing | |
| Jaundice | 1) If available, complete blood count and bilirubin; 2) consider liver ultrasound and additional hemolysis labs as indicated | Hemoglobin testing | |
| Sickle cell disease | 1) Hemoglobin testing | Hemoglobin testing | |
| Severe anemia | 1) Comprehensive history and physical to determine cause; 2) blood transfusion | Blood transfusion | |
| Diarrhea | 1) Classify severity of dehydration; 2) ORS | ORS or intravenous fluids and zinc supplementation | |
| Dysentery | 1) Nalidixic acid, cotrimoxazole, or ceftriaxone | Nalidixic acid, cotrimoxazole, or ceftriaxone |
a Uganda/WHO best practices also frequently call for the assessment and treatment of comorbidities such as hypoglycemia, anemia, dehydration, and respiratory distress
b Oral rehydration therapy
Patients were included in the suspected malaria case management category if they reported a history of fever or had a measured temperature ≥ 38.0°C. Individual evidence-based best practices included the following: 1) obtaining a malaria blood smear or rapid diagnostic test (RDT), 2) withholding antimalarials if the blood smear or RDT was negative, 3) treating severe malaria with an appropriate antimalarial, and 4) treating uncomplicated malaria with an appropriate antimalarial. Malaria was defined as having a positive blood smear or RDT. Severe malaria was defined as having malaria plus any documentation on the MRF that indicated the child met WHO clinical or laboratory criteria for severe disease [
Patients were included in the selected illnesses requiring antibiotics category if their final discharge diagnoses included pneumonia, sepsis, meningitis, or tetanus, or if they had severe malnutrition defined as weight for age z-score of < -3 (an objective classification of malnutrition was utilized due to the under diagnosis of this condition). To determine appropriate management, discharge diagnoses were felt to be more reliable than admission diagnoses as the latter were usually rendered by the clinician in the outpatient clinic based only on information from the initial stages of evaluation. Admission diagnoses were often changed soon after hospitalization once additional information, such as malaria diagnostic testing, became available. Given the difficulty in determining appropriate antibiotics for each of these conditions from the surveillance system alone, individual evidence-based use of antibiotics was defined broadly. Any antibiotics were considered appropriate for pneumonia, malnutrition, and sepsis. Since cerebrospinal fluid analysis, if performed, was not captured by the MRF, appropriate antibiotics for meningitis included any parenteral antibiotic with meningeal penetration (ceftriaxone, chloramphenicol, gentamicin, ampicillin, and penicillin). Appropriate antibiotics for tetanus included parenteral penicillin, metronidazole, or chloramphenicol. As with antimalarials, dosing information was not captured and could not be considered in the assessment of appropriate care. A binary composite indicator of quality care was also generated to assess the overall quality of antibiotic selection. Patients were classified as having received appropriate management if they received appropriate antibiotics for all of the selected illnesses with which they were diagnosed.
The suspected anemia case management category comprised every child with pallor or jaundice on physical examination or a diagnosis of sickle cell disease. Individual evidence-based best practices included hemoglobin testing and blood transfusion for severe anemia. Severe anemia was defined as hemoglobin level < 5.0g/dl. To be classified as appropriate, the binary composite indicator of quality care required both hemoglobin testing and transfusion if testing revealed severe anemia.
The diarrhea case management category involved every child with a clinical diagnosis of diarrhea or dysentery. Individual evidence-based best practices included receipt of oral rehydration solution (ORS) or intravenous fluids, receipt of zinc supplementation, and appropriate antibiotics for patients with dysentery. Antibiotics for dysentery were defined as receipt of nalidixic acid, cotrimoxazole, or ceftriaxone, based on what is provided to the health facilities. The composite indicator of quality care for diarrhea required that each patient receive ORS or intravenous fluids as well as zinc and that each patient with dysentery additionally receive appropriate antibiotics.
The proportion of eligible patients receiving appropriate management for each evidence-based best practice and the composite indicators of quality care for each case management category were calculated. Potential factors associated with receiving appropriate care for each composite indicator were evaluated using univariable and multivariable logistic regression models. Exposure variables of interest included health facility, gender, age, duration of hospitalization, weekday or weekend admission, and presence of comorbid malaria or bacterial infection (defined, as above, as a discharge diagnosis of pneumonia, sepsis, meningitis, tetanus, or severe malnutrition). To evaluate the changes in case management composite indicators over calendar time, univariable logistic regression analysis was also performed using three-month time intervals as the exposure variable of interest (stratified by health facility). Because malaria transmission and the absolute number of inpatient admissions were stable throughout the year at each site, intervals were based on calendar time as opposed to seasonality. Statistical analysis was performed using Stata 12.0 (Stata Corp, College Station, TX). A p-value of <0.05 was considered statistically significant.
The UMSP sentinel site surveillance system collects routine health information to supplement Ugandan’s Health Management Information System and all patient data are anonymized and de-identified prior to entry. The authors do not have access to identifying information prior to data entry and do not interact with patients. Consequently, the surveillance system has been deemed nonresearch by the Center for Global Health at the Centers for Disease Control and Prevention (CDC) (tracking number 2014–205). This determination was made because the primary intent of data collection is public health practice or disease control, specifically routine surveillance activities. The determination is congruent with the CDC Policy “Distinguishing Public Health Research and Public Health Nonresearch” [
There were a total of 30,351 admissions of children under the age of 14 during the fifteen-month study period (range 1,557–9,103 across the health facilities). Fewer than half of all admissions were female (46%). The median age of admitted children was 20 months, with 84% under 5 years old, and 28% under 1 year old. The median duration of hospital stay was three days (inter-quartile range 2–4 days). The inpatient mortality rate was 3%, ranging from 1% in Kanungu and Apac to 5% in Jinja (
| Variable | All Sites | Jinja | Kanungu | Apac | Mubende | Tororo | Kabale |
|---|---|---|---|---|---|---|---|
| Admissions, n (% total) | 30,351 | 9,103 (30%) | 1,557 (5%) | 4,304 (14%) | 6,045 (20%) | 7,457 (25%) | 1,885 (6%) |
| Female gender, n (%) | 13,907 (46%) | 4,089 (45%) | 717 (46%) | 2,010 (47%) | 2,723 (45%) | 3,465 (46%) | 903 (48%) |
| Age in months, median (IQR | 20 (10–36) | 18 (9–36) | 24 (12–59) | 29 (16–48) | 20 (11–36) | 18 (9–34) | 15 (8–27) |
| Length of stay in days, median (IQR) | 3 (2–4) | 3 (2–4) | 2 (2–3) | 3 (2–4) | 4 (2–5) | 3 (2–4) | 3 (2–6) |
| Positive malaria diagnostic test, n (%) | 14,249 (47%) | 4,195 (46%) | 587 (38%) | 2,677 (62%) | 2,670 (44%) | 4,022 (54%) | 98 (5%) |
| Deaths, n (%) | 802 (3%) | 415 (5%) | 15 (1%) | 53 (1%) | 123 (2%) | 120 (2%) | 76 (4%) |
| Suspected malaria, n (%) | 27,809 (92%) | 8,552 (94%) | 1,412 (91%) | 4,004 (93%) | 5,449 (90%) | 6,920 (93%) | 1,472 (78%) |
| Selected illnesses requiring antibiotics, n (%) | 9,584 (32%) | 3,027 (33%) | 335 (22%) | 869 (20%) | 2,308 (38%) | 1,857 (25%) | 1,188 (63%) |
| Suspected anemia, n (%) | 9,162 (30%) | 4,199 (46%) | 95 (6%) | 279 (6%) | 2,375 (39%) | 1,803 (24%) | 411 (22%) |
| Diarrhea, n (%) | 3,606 (12%) | 664 (7%) | 192 (12%) | 194 (5%) | 678 (11%) | 1524 (20%) | 354 (19%) |
a Inter-quartile range
Suspected malaria was present in most patients (92%; range 78–94% across the health facilities). Nearly all patients (97%) who had suspected malaria received a laboratory test for malaria (
| Case management category | Evidence-based best practice | Received (%) |
|---|---|---|
| Blood smear or RDT | 27,083/27,809 (97%) | |
| No antimalarial if negative malaria test | 9,383/13,143 (71%) | |
| Appropriate antimalarial if severe malaria | 9,432/10,116 (93%) | |
| Appropriate antimalarial if uncomplicated malaria | 3,700/3,824 (97%) | |
| Antibiotics if pneumonia | 4,537/4,715 (96%) | |
| Antibiotics if severe malnutrition | 2,550/3,293 (77%) | |
| Antibiotics if sepsis | 2,243/2,342 (96%) | |
| Antibiotics with meningeal penetration if meningitis | 92/111 (83%) | |
| Appropriate antibiotics if tetanus | 37/70 (53%) | |
| Hemoglobin testing if pallor | 4,161/8,799 (47%) | |
| Hemoglobin testing if jaundice | 310/664 (47%) | |
| Hemoglobin testing if sickle cell disease | 291/546 (53%) | |
| Blood transfusion if hemoglobin < 5g/dl | 1,597/2,405 (66%) | |
| ORS | 2262/3606 (63%) | |
| Zinc supplementation if diarrhea | 870/3606 (24%) | |
| Appropriate antibiotics if dysentery | 42/87 (48%) | |
a Rapid diagnostic test
b Oral rehydration solution
| Category | Co-variable | Appropriate management (%) | Univariable | Multivariable | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |||
| Jinja | 5,783/8,552 (68%) | reference | — | reference | — | |
| Kanungu | 1,168/1,412 (83%) | 2.29 (1.98–2.65) | <0.01 | 2.34 (2.02–2.71) | <0.01 | |
| Health facility | Apac | 3,390/4,004 (85%) | 2.64 (2.40–2.91) | <0.01 | 2.59 (2.35–2.86) | <0.01 |
| Mubende | 4,618/5,449 (85%) | 2.66 (2.44–2.90) | <0.01 | 2.65 (2.42–2.89) | <0.01 | |
| Tororo | 6,184/6,920 (89%) | 4.02 (3.68–4.40) | <0.01 | 3.89 (3.56–4.25) | <0.01 | |
| Kabale | 1,372/1,472 (93%) | 6.57 (5.34–8.09) | <0.01 | 6.51 (5.28–8.03) | <0.01 | |
| Gender | Male | 12,143/15,020 (81%) | reference | — | reference | — |
| Female | 103,72/12,789 (81%) | 1.02 (0.96–1.08) | 0.59 | 1.01 (0.95–1.07) | 0.83 | |
| Age | ≥ 5 years | 3,309/4,227 (78%) | reference | — | reference | — |
| 1 - < 5 years | 13,069/16,064 (81%) | 1.21 (1.11–1.32) | <0.01 | 1.21 (1.11–1.32) | <0.01 | |
| < 1 year | 6,137/7,518 (82%) | 1.23 (1.12–1.35) | <0.01 | 1.29 (1.17–1.43) | <0.01 | |
| Duration of hospitalization | > 1 day | 19,811/24,222 (82%) | reference | — | reference | — |
| 1 day | 1,980/2,512 (79%) | 0.83 (0.75–0.92) | <0.01 | 0.96 (0.86–1.07) | 0.44 | |
| < 1 day | 724/1,075 (67%) | 0.46 (0.40–0.52) | <0.01 | 0.55 (0.48–0.63) | <0.01 | |
| Day of admission | Weekday | 18,142/22,191 (82%) | reference | — | reference | — |
| Weekend | 4,373/5,618 (78%) | 0.78 (0.73–0.84) | <0.01 | 0.82 (0.76–0.88) | <0.01 | |
| Comorbid bacterial infection | Absent | 15,445/19,078 (81%) | reference | — | reference | — |
| Present | 7,070/8,731 (81%) | 1.00 (0.94–1.07) | 0.97 | 0.97 (0.90–1.04) | 0.36 | |
Selected illnesses requiring antibiotics were reported in 32% of patients (range 20%-63% across the health facilities): pneumonia was the most common (16%), followed by malnutrition (11%), sepsis (8%), meningitis (<1%), and tetanus (<1%). The administration of appropriate antibiotics was common when indicated for pneumonia (96%) and sepsis (96%), but less common for meningitis (83%), malnutrition (77%) and tetanus (53%) (
| Category | Co-variable | Appropriate management (%) | Univariable | Multivariable | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |||
| Apac | 682/869 (78%) | reference | — | reference | — | |
| Kanungu | 268/335 (80%) | 1.10 (0.80–1.50) | 0.56 | 1.51 (1.06–2.15) | 0.02 | |
| Health facility | Jinja | 2,559/3,027 (85%) | 1.50 (1.24–1.81) | <0.01 | 1.73 (1.39–2.14) | <0.01 |
| Tororo | 1,724/1,857 (93%) | 3.55 (2.80–4.52) | <0.01 | 4.46 (3.43–5.79) | <0.01 | |
| Mubende | 2,189/2,308 (95%) | 5.04 (3.95–6.45) | <0.01 | 5.64 (4.32–7.36) | <0.01 | |
| Kabale | 1,128/1,188 (95%) | 5.15 (3.80–7.00) | <0.01 | 3.43 (2.46–4.77) | <0.01 | |
| Gender | Male | 4,705/5,249 (90%) | reference | — | reference | — |
| Female | 3,845/4,335 (89%) | 0.91 (0.80–1.03) | 0.14 | 0.97 (0.84–1.12) | 0.66 | |
| Age | ≥ 5 years | 939/1,103 (85%) | reference | — | reference | — |
| 1 - < 5 years | 4,401/5,079 (87%) | 1.13 (0.94–1.36) | 0.18 | 1.41 (1.15–1.75) | <0.01 | |
| < 1 year | 3,210/3,402 (94%) | 2.92 (2.34–3.64) | <0.01 | 2.76 (2.16–3.53) | <0.01 | |
| Duration of hospitalization | > 3 days | 4,359/4,580 (95%) | reference | — | reference | — |
| 3 days | 1,671/1,869 (89%) | 0.43 (0.35–0.52) | <0.01 | 0.48 (0.39–0.60) | <0.01 | |
| 1–2 days | 2,227/2,695 (83%) | 0.24 (0.20–0.29) | <0.01 | 0.28 (0.24–0.34) | <0.01 | |
| < 1 day | 293/440 (67%) | 0.10 (0.08–0.13) | <0.01 | 0.07 (0.06–0.09) | <0.01 | |
| Day of admission | Weekday | 6,809/7,657 (89%) | reference | — | reference | — |
| Weekend | 1,741/1,927 (90%) | 1.17 (0.99–1.38) | 0.07 | 1.13 (0.94–1.36) | 0.18 | |
| Malaria diagnostic test result | Negative or missing | 6,656/7,089 (94%) | reference | — | reference | — |
| Positive | 1,894/2,495 (76%) | 0.21 (0.18–0.23) | <0.01 | 0.20 (0.17–0.23) | <0.01 | |
a Pneumonia, severe malnutrition, sepsis, meningitis, and tetanus
Anemia was suspected in 30% of patients (range 6%-46% across the health facilities), nearly all due to pallor (29%), compared to jaundice (2%), and sickle cell disease (2%). Hemoglobin testing was infrequently performed in patients with pallor (47%), jaundice (47%), and sickle cell disease (53%) (
| Category | Co-variable | Appropriate management (%) | Univariable | Multivariable | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |||
| Kanungu | 5/95 (6%) | reference | — | reference | — | |
| Mubende | 460/2,375 (19%) | 4.32 (1.75–10.70) | <0.01 | 3.93 (1.59–9.74) | <0.01 | |
| Health facility | Kabale | 101/411 (25%) | 5.86 (2.32–14.83) | <0.01 | 6.31 (2.49–16.00) | <0.01 |
| Apac | 70/279 (25%) | 6.03 (2.35–15.44) | <0.01 | 5.39 (2.10–13.83) | <0.01 | |
| Tororo | 782/1,803 (43%) | 13.79 (5.58–34.09) | <0.01 | 13.14 (5.31–32.52) | <0.01 | |
| Jinja | 2,043/4,199 (49%) | 17.06 (6.92–42.06) | <0.01 | 16.89 (6.84–41.69) | <0.01 | |
| Gender | Male | 1,897/4,966 (38%) | reference | — | reference | — |
| Female | 1,564/4,196 (37%) | 0.96 (0.88–1.05) | 0.36 | 0.96 (0.88–1.05) | 0.37 | |
| Age | ≥ 5 years | 600/1,514 (40%) | reference | — | reference | — |
| 1 - < 5 years | 2,073/5,387 (38%) | 0.95 (0.85–1.07) | 0.42 | 0.91 (0.80–1.03) | 0.12 | |
| < 1 year | 788/2,261 (35%) | 0.81 (0.71–0.93) | <0.01 | 0.75 (0.65–0.86) | <0.01 | |
| Duration of hospitalization | > 2 days | 2,145/5,676 (38%) | reference | — | reference | — |
| 1–2 days | 1,127/3,021 (37%) | 0.98 (0.89–1.07) | 0.66 | 0.78 (0.71–0.86) | <0.01 | |
| < 1 day | 189/465 (41%) | 1.13 (0.93–1.37) | 0.22 | 0.99 (0.81–1.21) | 0.90 | |
| Day of admission | Weekday | 2,743/7,157 (38%) | reference | — | reference | — |
| Weekend | 718/2,005 (36%) | 0.90 (0.81–1.00) | 0.04 | 0.83 (0.74–0.92) | <0.01 | |
| Malaria diagnostic test result | Negative or missing | 1,621/4,636 (35%) | reference | — | reference | — |
| Positive | 1,840/4,526 (41%) | 1.27 (1.17–1.39) | <0.01 | 1.29 (1.18–1.41) | <0.01 | |
Diarrhea was diagnosed in 12% of admissions (range 5–20% across the health facilities), with dysentery being diagnosed in a small proportion of all patients (<1%). Oral rehydration solution or intravenous fluids were administered to 63% of patients with diarrhea and antibiotics were administered 48% of patients with dysentery (
| Category | Co-variable | Appropriate management (%) | Univariable | Multivariable | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |||
| Jinja | 52/664 (8%) | reference | — | reference | — | |
| Kanungu | 18/192 (9%) | 1.22 (0.69–2.14) | 0.49 | 1.12 (0.64–1.97) | 0.71 | |
| Health facility | Tororo | 170/1,524 (11%) | 1.48 (1.07–2.05) | 0.02 | 1.49 (1.08–2.07) | 0.02 |
| Kabale | 54/354 (15%) | 2.12 (1.41–3.18) | <0.01 | 1.90 (1.26–2.86) | <0.01 | |
| Apac | 58/194 (30%) | 5.02 (3.30–7.62) | <0.01 | 4.89 (3.20–7.47) | <0.01 | |
| Mubende | 297/678 (44%) | 9.17 (6.65–12.65) | <0.01 | 9.11 (6.58–12.62) | <0.01 | |
| Gender | Male | 353/1,986 (18%) | reference | — | reference | — |
| Female | 296/1,620 (18%) | 1.03 (0.87–1.22) | 0.72 | 1.08 (0.90–1.30) | 0.40 | |
| Age | ≥ 5 years | 8/170 (5%) | reference | — | reference | — |
| 1 - < 5 years | 311/1,693 (18%) | 4.56 (2.22–9.37) | <0.01 | 5.18 (2.47–10.84) | <0.01 | |
| < 1 year | 330/1,743 (19%) | 4.73 (2.30–9.72) | <0.01 | 5.96 (2.84–12.47) | <0.01 | |
| Duration of hospitalization | > 5 days | 116/517 (22%) | reference | — | reference | — |
| 1–5 days | 520/3,011 (17%) | 0.72 (0.57–0.90) | 0.01 | 0.93 (0.72–1.19) | 0.56 | |
| < 1 day | 13/78 (17%) | 0.68 (0.37–1.30) | 0.25 | 0.75 (0.38–1.48) | 0.40 | |
| Day of admission | Weekday | 528/2,832 (19%) | reference | — | reference | — |
| Weekend | 121/774 (16%) | 0.81 (0.65–1.00) | 0.05 | 0.87 (0.69–1.10) | 0.23 | |
| Malaria diagnostic test result | Negative or missing | 549/2,731 (20%) | reference | — | reference | — |
| Positive | 100/875 (11%) | 0.51 (0.41–0.64) | <0.01 | 0.57 (0.44–0.72) | <0.01 | |
Difficulty in assessing the quality of medical care in resource-limited health facilities has long hampered efforts to improve health care delivery [
The principal findings from this study may help inform efforts to design interventions to improve inpatient health care quality in resource-limited settings. We found substantial heterogeneity in the rates of appropriate management across the four case management categories, from fairly high for suspected malaria (81%) and selected illnesses requiring antibiotics (89%), to very low for suspected anemia (38%) and diarrhea (18%). Within the composite indicators of quality, a few infrequently performed specific case management practices may be ideal targets for improving clinical outcomes. Improper diarrhea management was most influenced by low administration of zinc (24%), although oral or intravenous rehydration was also infrequently administered (63%), as were appropriate antibiotics for dysentery (48%). Zinc and rehydration solutions are of low-cost and widely available. Increasing the proportion of children with diarrhea who receive these interventions could affect mortality as has been shown in other settings [
Beyond the proportions of children receiving appropriate care for the selected case management categories, this study also reveals several key findings that merit further discussion: 1) differences in quality of care across the health facilities, 2) changes in quality care metrics over time, 3) the relatively high rates of appropriate malaria case management, and 4) the association between malaria diagnostic testing results and the management of non-malarial illnesses.
Individual health facilities were strongly associated with the odds of receiving appropriate case management for each composite indicator of quality care, but there were no consistent patterns of “high performing” or “low performing” health facilities when considering all four composite indicators together. Mubende Regional Hospital, for example, had the highest rate of appropriate management for diarrhea but was one of the lowest performing sites for the management of suspected anemia. Jinja Regional Hospital had the lowest rates of appropriate management for suspected malaria and diarrhea, but the highest rate of appropriate management for suspected anemia. Jinja’s inpatient staffing (pediatricians supervise interns who rotate through the pediatric wards) may play a role in these findings but further investigation is needed to determine how Jinja’s role as a teaching hospital affects the quality of care. The heterogeneity between sites also suggests that effective quality improvement initiatives will have to focus on deficiencies that are unique to each condition and health facility, rather than using a uniform approach across facilities.
Quality of care also varied over time at health facilities, but in different patterns. Among the four case management categories stratified across the six health facilities, six health facility-specific case management practices improved, six worsened, and 12 did not significantly change. Only two sites improved in two of the four case management categories (Jinja and Apac) yet both of these sites also saw declines in the rate of appropriate management of one category (selected illnesses requiring antibiotics). This finding suggests that the practice of quality care is dynamic at each health facility. Consequently, a better understanding of what is driving the fluctuation in quality care for specific case management practices will be important to ensure that improvements in care are consistent over time. The changes observed over time also highlight the limitation of cross-sectional surveys to measure case management practices and the effects of quality improvement interventions.
Given that UMSP interactions with the health facilities had focused on proper malaria diagnosis and treatment, data quality, and malaria diagnostic laboratory support at each facility for 1–2 years prior to the collection of data used in this study, we anticipated that malaria case management would show high rates of evidence-based best practices. Indeed we found that 97% of children with fever had malaria laboratory testing, compared to testing rates of 32% for children under the age of five presenting to Ugandan health facilities with fever in a large national survey [
Interestingly, a positive malaria diagnostic test had a large influence on the quality of management of other illnesses. Children with a positive malaria test were more likely to receive appropriate management of suspected anemia, but much less likely to receive appropriate management of selected illnesses requiring antibiotics and appropriate management of diarrhea. The strong association between malaria and anemia in children is well known and the finding of a positive malaria test may heighten the sensitivity of clinicians to the need to perform hemoglobin testing and blood transfusions. Conversely, a positive malaria test could distract clinicians from other co-morbid diagnoses that are not as strongly associated with malaria. The practice of incompletely managing other illnesses when a child has a positive malaria test is especially concerning as many individuals in areas of high malaria endemicity have asymptomatic parasitemia, including up to 30% of Ugandan schoolchildren involved in a study in Tororo District [
This study has several limitations. With the exception of fever, malaria, severe anemia, and severe malnutrition, the diagnoses rendered were at the discretion of the clinician and could not be verified by any gold standard. Yet while some of these diagnoses may not be accurate, clinicians should still be conducting case management based on each patient’s presumptive diagnoses. Concerning the case management practices, many were broadly defined and there were a number of additional case management steps that were either not commonly done due to inadequate resources (such as lumbar puncture for meningitis) or not readily documented (such as nutritional support for malnutrition or tailored antibiotic selection for certain infections) (
With high quality data from 30,000 pediatric admissions, this study presents a detailed understanding of the quality of inpatient pediatric case management in Ugandan health facilities. The critical deficiencies identified in evidence-based best practices include the prescription of antimalarials to children with a negative malaria diagnostic test, low rates of antibiotic receipt for children with severe malnutrition, infrequent hemoglobin testing for suspected anemia, and sporadic use of rehydration solutions and zinc for diarrhea. Investigation of patient and health facility-level characteristics associated with these deficiencies reveals heterogeneity in quality between health facilities and the effect of age and malaria laboratory testing results on the management of different diagnoses. This highlights the importance of designing quality improvement initiatives that are customized to the individual deficiencies in care identified at each health facility and that address the management of multiple diseases at once. These findings represent an important step forward in efforts to improve pediatric care at health facilities in resource-limited settings. Given the immense burden of suffering and preventable deaths inflicted by the diseases described in this report, such efforts could have enormous potential to improve the health of children in Uganda and similar settings.
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The authors wish to acknowledge the Infectious Diseases Research Collaboration (IDRC) for administrative and technical support, as well as the hard-working clinicians and staff members at the six health facilities described here.