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. 2023 Jul 21;3(7):e0001523. doi: 10.1371/journal.pgph.0001523

The immediate treatment outcomes and cost estimate for managing clinical measles in children admitted at Mulago Hospital: A retrospective cohort study

Barbara Namugga 1,*, Ombeva Malande 1, Jonathan Kitonsa 2, Leonard Manirakiza 3, Cecily Banura 4, Ezekiel Mupere 1
Editor: Abram L Wagner5
PMCID: PMC10361502  PMID: 37478055

Abstract

Over the recent years, the Ministry of Health in Uganda has reported multiple measles outbreaks in various districts despite the availability of a safe cost effective vaccine. Measles, especially among the unvaccinated can lead to serious complications including death while its management heavily burdens the family and health care system. This study aims to determine the immediate treatment outcomes and estimate the cost of treating a measles case. A retrospective cohort study using records review was conducted among children 0–12 years admitted at Mulago hospital throughout 2018. Demographics, complications, vaccination status, discharge status, duration of hospital stay, type of treatment, supplies and investigations done were abstracted from the patient charts. Treatment costs were obtained from the hospital pharmacy price list while the unit cost of utilities, human resource, food and security were obtained from the hospital accounts department. Patients’ characteristics were summarized descriptively. Cost information, was reported as mean with standard deviation (SD) and range, and was stratified and presented as direct health care (blood test, radiology and treatment) and direct non health care costs. Among 267 reviewed patient charts, the median age was 1.0 ((IQR 0.75–2) years. 63patients (24%) were immunised, 79 (29%) were not immunized, Median length of hospital stay was 4.0 days (IQR 3.0–7.0) with majority (n = 207, 77%) staying < 7 days. 30 patients (11%) died with mortality highest among the unimmunised (n = 13, 44%) and severe pneumonia (39.5%) was the commonest complication. 114.5 USD was estimated to treat a child with measles. Human resource (79.33USD, SD 4.63) and treatment costs (21.98USD, SD 22.77) were the largest expenses. Complications are common in majority of fatal measles cases and these carry a high cost to the healthcare system.

Introduction

Measles is a highly contagious viral disease which is largely preventable through vaccination [1]. Globally, measles accounts for over 140,000 deaths annually, mostly among children under five [1] and is still common in many developing countries–particularly in parts of Africa and Asia. The overwhelming majority (more than 95%) of measles deaths occur in countries with low per capita income and weak health infrastructure [13].

In Uganda, the Ministry of Health continues to register measles outbreaks almost every year despite the availability of free effective vaccines in public health facilities, with Wakiso and Kampala districts amongst those most commonly affected [4]. Outbreaks have also been reported in several other districts, including a recent one in Nakaseke [5], and a more widely spread one in 2018 involving 26 districts [6]. As a result, measles is one of the leading causes of death among children under 5 years in the country, and contributes 4% to under 5 mortality [7].

To prevent measles outbreaks, WHO had set an ambitious but achievable target of vaccinating ≥ 95% of the susceptible children by 2020, which would help create herd immunity [8]. Findings from the Uganda Demographic and Health survey (2016) showed variation between districts in measles vaccine coverage, which was less than optimum. Coverage ranged between 60% in Wakiso and 82.8% in Kampala with a national average of 80% [9]. Low levels of immunization coverage translate to low immunity at community level, which ultimately may lead to an outbreak of measles if the virus is introduced.

Besides morbidity and mortality, costs related to treating a child with measles pose a big burden to the family and the already financially stretched health care delivery system, and are increased when the measles is complicated with conditions such as pneumonia, encephalitis, malnutrition, diarrhoea, blindness, croup, otitis media among others. While the cost of immunizing a child is estimated at only $0.86 [$0.42 being cost for vaccine and injection material and $0.44 for operational costs] [10], the cost incurred to the health care delivery system in managing measles in Uganda has not been well described. This study therefore sought to estimate the average cost to the health care delivery system in managing a child with measles in 2018 when the largest measles outbreak occurred in Uganda. Knowledge of this would inform policy related to promotion of immunisation and planning for hospital services.

Methods

Study design and setting

A retrospective cohort study through records review was conducted at Mulago National Referral Hospital (MNRH), which is the teaching Hospital of Makerere University College of Health Sciences. This Public health facility is owned by the Uganda Ministry of Health, and is located in the central division of Kampala district. MNRH serves about 115,000 in and out patients including 30,000 children per year with a bed capacity of 1790.

In Uganda, Measles vaccine is given at 9 months, and is freely available at all government health facilities as well as some private facilities. In times of epidemics, the vaccine is also often administered widely through mass vaccination campaigns.

Study procedure

Data collection was carried out in a period of six months between January 2019 and June 2019. A list of the measles admissions from 1st January 2018 to 31st December 2018 with inpatient numbers was made from the Health Management Information System register to determine the total number of measles admissions at MNRH by the principal investigator with the help of the hospital records officer. The available charts of children 0–12 years were retrieved by the records officer and reviewed for eligibility of data by the principal investigator. All charts with a clinical diagnosis of measles were included, while charts with illegible handwriting, undocumented inpatient number, age, and sex were excluded. The clinical diagnosis of measles was confirmed if the child’s clinical features included fever, maculopapular rash with either cough, coryza, or conjunctivitis [11]. Sample size was determined based on the formula by Yamane 1967 [12,13];

nr=N1+N(e)2

where N is the sampling frame estimated at 812 from the Mulago Hospital medical admission records (HMIS inpatient register) and e is the allowable error, taken as 5%. The sample size used 267 patient records.

Charts that passed these criteria were arranged and grouped by date of admission starting with January 1st 2018. Systematic sampling technique, was used to pick the charts using a skip interval (k = 2), implying that every second chart was chosen until the required sample size was achieved. The first chart was selected randomly.

Information abstracted from the patient’s charts included: Demographics (age, sex), complications, co-morbidities, vaccination status, vital status (alive or dead) at discharge and date of admission and discharge/death. The type of treatment, dosage and duration of use, supplies and investigations were also obtained from the patient charts and their unit costs were obtained from the hospital pharmacy price list.

Costs were classified as direct health care (treatment costs, i.e. drugs and supplies, and investigations, i.e. blood tests and radiology tests) and direct non-health care/overhead costs (security, salaries, water, electricity, food). The direct non-health care costs were obtained from the hospital planning unit/accounts department and costed per day per patient. Monthly salaries of staff who work on wards where measles patients are admitted were obtained from the hospital accounts department and daily salaries were calculated. This was then divided by the average number of patients seen per day to get the average cost. Unit costs were obtained using the price list from the hospital. Market prices were used for those items that were not in the price list. Total costs per patient were calculated and average costs determined. All costs incurred were assumed to have been received by the patient since they would be required in the management of measles.

Data management and analysis

Each data abstraction form (S1 File) was assigned a study number, which was used alongside the inpatient numbers to enter data. These were checked against the patient’s record for completeness and accuracy. The abstracted data was stored in a safe place under lock and key. Data was entered into an electronic database using Epidata version 3.1 with in-built quality control checks. The final data was then backed up, stored on a password-protected computer, and exported to STATA version 13 for analysis.

Continuous variables were summarised using medians with interquartile ranges, and means with standard deviations. The data was examined for the normality statistical assumption. Analysis of variance (ANOVA) were used to compare the average direct costs across patient demographic and clinical characteristics, and a P-value of < 0.05 was considered statistically significant.

Ethics approval and consent

Ethical approval was sought and obtained from School of Medicine Research and Ethics Committee (SOMREC) (REF 2019–009) and The Mulago Hospital Institutional Review Board. A waiver of consent was sought and obtained from SOMREC to use the patient charts. All the information was kept confidential.

Results

A total of 570 patients were admitted between 1st January and 31st December 2018 with a clinical diagnosis of measles and a total of 553 (97%) charts were retrieved. We excluded 17 charts: Seven of them had missing documentation of sex and age and 10 had no clear definition of clinical measles. This information is summarised in Fig 1.

Fig 1. Selection of charts included in analysis.

Fig 1

Demographic and clinical characteristics

After sampling, 267 patients’ charts were chosen, of which 135 (51%) were for females and 132 (49%) for males. The median age was 1.0 year (IQR 0.75–2.0) with majority aged < 1 year (n = 169, 63%). The median length of hospital stay was 4.0 days (IQR 3.0–7.0). Thirty (11%) died during admission whereas 237 (89%) were discharged alive as presented in Table 1.

Table 1. The demographic and clinical characteristics of 267 patients with clinical measles admitted to Mulago Hospital from 1st January 2018 to 31st December 2018.

Variable Category n (%)
Gender Male 132 (49%)
Female 135 (51.%)
Age Age in years, Median (IQR)
1.0 (0.75–2.0)
< 1 169 (63%)
1–5 83 (31%)
>5 15 (6%)
Duration of hospital stay Median (IQR) 4.0 (3.0–7.0)
0–7 207 (77%)
8–15 50 (19%)
>15 10 (4%)
Status at discharge Alive 237 (89%)
Dead 30 (11%)
Immunization status Yes* 63 (24%)
No¥ 79 (30%)
Unknown# 69 (26%)
Not due** 56 (21%)
Co-morbidities at admission Yes 23 (9%)
No 244 (91%)

* Received the measles vaccine

¥ Did not receive the measles vaccine

# Not recorded

** Less than 9months old.

Immediate treatment outcomes

Complications developed during hospital stay

During the period of admission, 185 (69.3%) patients had multiple complications and these included severe pneumonia (39.5%), gastroenteritis (24.0%), conjunctivitis (18.0%), malnutrition (6.4%), encephalitis (2.2%), among others as illustrated in the Fig 2. Majority 29.2% of patients who developed complications were not immunised. The immunisation status of these 185 children is shared as S1 Table.

Fig 2. Common complications.

Fig 2

Mortality of patients with measles and their characteristics

A total of 30 (11.3%) patients died during hospital stay. Out of these, 17 (57%) were male. 21 (70%) of these were aged between 0–1 years and 13 (44%) were not immunized. Majority 26 (86%) had spent < 7 days in the hospital as summarised in S2 Table.

Complications among the 30 patients who died during admission

The common complications among the patients who died included severe pneumonia (28%), gastroenteritis (20%), conjunctivitis (13%), malnutrition (9%) among others as illustrated in Fig 3.

Fig 3. Common complications by patients who died.

Fig 3

Characteristics of the 60 patients who stayed longer than 7 days

Sixty (23%) patients were admitted for longer than 7 days. Of these, 46 (77%), were less than one year and 36 (60%) were male as shown in S3 Table.

Costs of managing a child with measles

Direct health care costs (USD)

Direct health care costs were divided into 3 categories i.e. blood tests, radiology and treatment (drugs and supplies) costs. The average cost of blood test per patient was 11.73USD (SD = 12.10); for radiology, the average cost per patient was 3.48USD (SD = 4.83); and 21.98USD (SD = 22.77) for treatment. The overall average cost per patient was 33.13 USD (SD = 30.45).

Direct non health care cost / overhead costs (USD)

The overhead costs that were shared by the patients included human resource costs (79.33USD), SD = 4.63) and maintenance and utilities (2.04USD), SD = 0.27) giving rise to a total of 81.37USD.

These costs are summarised in Table 2 below.

Table 2. The average direct health care and non-health care (overhead) costs for managing measles per patient.
Health care costs Item Average cost (USD) Standard deviation Range (USD)
Blood test 11.73 12.10 1.35–59.49
Radiology 3.48 4.83 1.35–43.27
Treatment 21.98 22.77 2.57–211.22
Total cost 33.13 30.45 4.80–216.64
Non-health care costs Human resource 79.33 4.63 1.35–17.56
Maintenance, utilities, 2.04 0.27 0.02–8.18
Total cost 81.37 14.09

Comparison of direct costs incurred by patient characteristics

Male patients incurred higher average costs (36.08USD, SD = 16.04) than their female counterparts (30.24USD, SD = 24.89), (F = 6.126, P = 0.011). Patients that had comorbidities/long standing illness recorded during admission period incurred higher average costs (45.00USD, SD = 36.49) than those who had no comorbidities (32.02USD, SD = 29.67), (F = 2.163, P = 0.04).

Patients who stayed for over 15 days in the hospital incurred higher average costs (127.08, SD = 56.36) than those who stayed between 8–15 days (57.07, SD = 25.68), and those who stayed for less than 8 days (22.81, SD = 15.08), (F = 170.262, P = 0.0001).

At the time of discharge, the patients who died had incurred higher average cost (47.13, SD = 34.28) than those discharged alive (31.36, SD = 19.04), (F = 4.49, P = 0.03). These findings are summarized in the Table 3 below.

Table 3. Comparison of direct costs (USD) incurred by patient characteristics.
Variable Category Average cost (SD) F-Statistic P-Value
Gender Male 36.08(16.21) 6.126 0.011
Female 30.24(24.89)
Age (Years) <1 34.76 (29.29) 2.206 0.112
2–5 28.04 (28.14)
Over 5 42.98 (30.02)
Immunization status Yes 36.49(29.21) 0.738 0.530
No 35.40 (27.62)
Unknown 30.39 (24.71)
Not due 30.04 (22.10)
Comorbidities Yes 45.00(36.49) 2.163 0.04
No 36.02 (29.67)
Hospital days 0–7 22.81 (15.08) 170.262 0.0001
8–15 57.07 (25.68)
>15 127.08 (56.36)
Status at discharge Dead 47.13 (34.28) 4.49 0.03
Alive 31.36 (19.04)

Discussion

We carried out a retrospective cohort study to describe the immediate outcomes of children admitted with clinical measles and to estimate the cost of managing a severe measles case in Mulago National Referral Hospital, Uganda.

Immediate treatment outcomes

Complicated measles runs a severe course and can lead to death. In this study, mortality was higher than that found in two studies done in hospitals in Pakistan (5.4% and 3.4%) [14,15]. These hospitals may not be entirely similar to Mulago hospital, but are both national referrals and teaching facilities, offering quite similar services to those offered at Mulago Hospital. Mortality was found highest among the children who were not immunised, possibly because they developed severe complications. Measles related mortality is primarily due to an increased susceptibility to secondary bacterial and viral infections, resulting from direct mucosal damage by measles infection and measles induced immune suppression [16]. While pneumonia was the most prevalent complication, acute watery diarrhoea (gastroenteritis) was also common. These complications were similarly found to be the most prevalent in a study done in Pakistan with pneumonia and diarrhoea reported in 39.7% and 38.2% of children respectively [17].

Pneumonia, just like measles in children, is largely preventable through vaccination. In children who are not immunised, it can lead to severe disease which may result in death. This study showed that pneumonia was the commonest complication among children who died, having been diagnosed in more than a quarter of these; and since majority (44.0%) were not immunised, it is possible that they had also missed the rest of the vaccinations including those for pneumococcal pneumonia and influenza. This was similarly demonstrated in a study done in Queen Elizabeth Central Hospital in Malawi where pneumonia was the greatest contributor to mortality [18]. However it is in contrast to findings from a study done in Ayub teaching hospital in Pakistan where encephalitis was the leading cause of death [17].

The median length of hospital stay was 4.0 days with about three quarters of children staying less than seven days. This was similarly found in a study done in Pakistan about the clinical outcome of hospitalised measles patients where the mean hospital stay was 3.8 days [17].

Estimated cost of managing a child with measles

In management of children hospitalised due to measles, both healthcare costs and non-health care costs are incurred. However, this study looked at only the costs borne to the health care delivery system. The study found that the estimated direct cost borne by the health care system (laboratory test, radiology and treatment plus supplies cost) was on average 122,500 Ugandan shillings which is approximately 33.13 US dollars (1 US Dollar = 3697.92 UGX) [19], 66.3% of which goes to treatment and supplies.

The average overhead cost was 81.37 US dollars, most of which goes to human resource (salaries) to care for these patients. Thus, the total estimated direct cost of treating a measles case was substantially high (114.50 USD). This is higher than the cost determined by Gatien De Broucker and colleagues in another study conducted in Uganda [20]. Our costs were higher possibly because the study was conducted in a National Referral Hospital where severe cases of measles are referred.

Such costs are far beyond the cost required to immunise a child against measles which the World Health Organisation estimates to be less than a dollar [9,21]. Whereas there was no difference in hospital costs of the immunised and unimmunised children, complications are present in majority of fatal measles cases and these cases carry a higher cost to the health care delivery system. This provides some ground to base on to promote vaccination.

In this study, higher costs of treating a measles case were found among the male gender, those with co-morbidities, those that were admitted longest (> 15 days), and those that died during admission. Not surprisingly, patients that had co-morbidities during admission incurred higher average costs (44.99 USD) than those who had no co-morbidities. The possible explanation for this is that those with co-morbidities had to be managed for both measles in addition to other illnesses. It is also possible that those with co-morbidities had severe measles infection due to higher immune suppression, both by the measles and the co-morbidity. Management of such patients requires more investigations and perhaps more expensive treatment, which in turn increases the cost of health care delivery.

Patients who also stayed longer in hospital (> 15 days) incurred higher average costs than those who stayed for less days. These children were possibly too sick and required more aggressive and/or prolonged treatment and investigations which increased the direct cost of health care delivery. At the time of discharge, those who died incurred more average direct costs (47.13 USD) than those who were alive despite the fact that they spent less days. This is possibly because those who died were severely sick and required more expensive treatment and more investigations to be done than those who were discharged alive. Managing a male patient was found to be costlier than a female one, possibly because as demonstrated, males were admitted longer and were more likely to die than females.

To our knowledge, this is the first study that has estimated the cost of managing a child with clinical measles in a National Referral Hospital in Uganda.

This study had limitations. It was done in a public hospital and findings may not be similar in private facilities. It is more likely that costs in private facilities are even higher since these are established to make profit as was found by Gatien De Broucker et al [20].

Since this study was retrospective, it was only possible to enumerate costs to the health care delivery system but not those incurred by the family or society as these would require real time interaction with the family. It would have been useful to document costs incurred by the family to support messages to promote vaccination among parents/care givers. Measles serology was not done to confirm the diagnosis in the hospital. There is therefore a possibility that some diagnoses of measles were actually other viral exanthems like rubella, scarlet fever, varicella and roseola. It was also hard to verify whether all the treatments/investigations documented in the charts were received by the patients. We instead assumed that they were received since they would ideally be required for management of these cases. However, in spite of these limitations, we believe our findings are valid and pertinent, in efforts to promote immunisation against measles.

Conclusion

Complications are common in majority of fatal measles cases and these carry a high cost to the healthcare system. More research is necessary in this setting to quantify the economic burden of measles to families and society. We recommend that efforts that promote uptake of the cheaply available measles vaccine are implemented to reduce on incidence of severe disease that requires hospitalisation.

Supporting information

S1 File. Data abstraction form.

(DOCX)

S1 Table. Immunisation status of the 185 children with complications.

(DOCX)

S2 Table. Demograhic characteristics of participants who died.

(DOCX)

S3 Table. Characteristics of participants who stayed longer than 7 days.

(DOCX)

Acknowledgments

We acknowledge the department of Paediatrics Makerere University, the research assistants, Bbosa Juliet, Omega Jotham, and the participants whose information was used.

Data Availability

Data cannot be shared publicly as it contains confidential and potentially identifying patient information, and because they are the property of the Mulago National Referral Hospital. Request for data can be made to the Chairman School of Medicine Makerere University College of Health Sciences Institution Review Board (contact via: ponsiano.ocama@gmail.com, + 256772421190) for researchers who meet the criteria for access to confidential data.

Funding Statement

This work was supported by the University of Minnesota to Barbara Namugga through CB. However, the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors did not receive any salary from the funders.

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0001523.r001

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Abram L Wagner

23 Feb 2023

PGPH-D-22-02083

The immediate treatment outcomes and cost estimate for managing clinical measles in children admitted at Mulago Hospital: a retrospective cohort study.

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Reviewer #1: This a relevant and timely topic as the world is experiencing many measles outbreaks in the COVID era. Evaluating the cost of treatment for preventable diseases provides a solid evidence-based argument to strengthen preventive strategies. However, for a more robust methodologic approach and better clarity, we offer those comments:

Objective

- For more clarity, please precise the study period in the objective. And specify that the "average cost" was determined.

Method

- Why is the study defined as a single cohort study? The method and data presented are more in favor of a transversal study, not a longitudinal approach. If there is additional information that can support the Cohort aspect, please share.

- The study procedures (Section Method) stated: “Market prices were used for those items that were not in the price list.” As it is a retrospective study, we wonder if there were any fluctuations between the current prices (prices during the data collection) and those in 2018. If yes, which one was used, and how did the authors avoid bias considering this outcome? The clarity of the study will benefit from that precision.

- It would help the readers’ comprehension if treatments cost was defined. What that variable included? (IV, drugs, equipment utilization…)? Additionally, it is better to keep the same classification of direct costs in both methods and results. In the Methods, the direct costs are defined as direct health care costs (drugs, supplies, and investigations)

Results

- In the results section, “Direct health care costs were divided into three categories, i.e., blood tests, radiology, and treatment costs.” Blood tests and radiology can be labeled as investigations; drugs can be considered treatment. Are supplies included in the treatment group? The reader should not have to guess.

Discussion

- When considering the study objectives and the results presented, we realize that this study explores not only the direct costs as stated in the discussion. I would suggest removing the word "direct."

General comment

- It is unclear if the authors used only the clinical admission diagnosis of measles to select the study sample. If yes, it could have been interesting to know the proportion of confirmed cases and compare the costs between confirmed cases and suspect cases.

Reviewer #2: Overall:

The paper is setting out to identify the direct and indirect clinical costs of managing measles cases, which it does ($114.5 USD ave cost estimate in reference to $0.86 cost of measles vaccination). From here the authors go forward to say that these high costs of care are “strong ground to base on to promote vaccination,” however the data presented in this paper shows that immunization status has no statistical difference on direct hospital costs incurred ($36.49 immunized patient, $35.40 non-immunized patient). A more accurate conclusion should state that complications/comorbidities are present in a majority of fatal measles cases and comorbid cases carry a higher cost to the healthcare system.

If they want to move forward with their argument that immunization reduces case management costs, then it needs to be demonstrated that non-immunized patients had higher comorbidities (not addressed in complicated patients n=185), non-immunized patients were admitted longest (briefly addressed in S2), and that non-immunized patients were more likely to die during admission (addressed).

If this is a paper establishing costs of managing measles cases, then the paper has initial merit but needs expanded information on how direct and indirect costs were determined.

If this paper wants to make claims that immunization decreases costs of managing measles cases, then further analysis must be included.

Comments on Introduction:

1. Edit hard immunity to herd immunity.

Comments on Study Procedure:

2. Participant charts were identified from hospital diagnosed measles cases but some charts did not meet criterion for clinical measles and therefore were excluded. Although WHO Guidelines are referenced, it would be good for the reader to have an idea of the study’s inclusion/exclusion criteria in more detail.

3. Age of inclusion is mentioned in the abstract, it is never mentioned in the Study Procedure section.

4. This is a study to establish the costs of managing measles cases, but there are no methods listed describing how non health care costs were actually determined. For security and staff, were the total number of staff salaries per day determined then divided by the daily number of patients in hospital? Does measles case coverage necessitate a higher staff per patient ratio? For utilities, is this a hospital that relies on generator electricity with high fuel costs or is there provision of consistent electricity? If this is claiming to be a health economics paper, then please provide additional detail and methods of how costs are determined.

5. Data Abstraction Form (DAFs) could be shared in supplemental materials.

Results:

6. No information is give about the Immunization status Not Due. A quick Google search shows me that US CDC guidelines for measles immunizations are 12-15 months, WHO guidelines are 9 months. This is very relevant information seeing that age range for participants is 0-12 years, the median age of participants is 1.0 year, a majority of patients are aged less than 1 year. Please provide justification, in terms of health outcomes, why patients in the Not Due category do not fall in the non immunized category.

7. Please provide information/justification why Immunization status Unknown was not considered as a case with missing documentation and therefore subject to exclusion from the study.

8. The text states that Table 1 displays 30 deaths and 237 discharges, but Table 1 does not contain this information.

9. Standardize the description/name of your n=185 Severe Illness group. Table 1 lists Co-morbidities at admission (n=23) and Figure 1 describes Common Complications during period of admission (n=185). Later in Comparison of Direct Costs Incurred by Patient Characteristics it states patients with co-morbidities incurred higher costs than those with no comorbidities and you are talking about your n=185 group but it could be misconstrued as your n=23 group. The Common Complications figures are never referred to as comorbidities but the n=23 group is referred to as comorbidities.

10. Regarding Common Complications, you have information of patients who died (n=30), but it would also be helpful regarding Common Complications (n=185) to have information of immunization status.

11. For Duration of Hospital Stay and Characteristics Among the 60 Patients Who Stayed Longer Than 7 days, you say 207 (77%) stayed <7 days and 60 (13%) stayed >7 days, however 77%+13% does not equal 100%. Later in Table 3 you present information on patient/s who stay >15 days but this group is not mentioned in the Characteristics text section. Please give the n of patients who stay >15 days. Patients who stayed over 15 days in the hospital incurred a higher average cost; is that just a cumulative effect of the number of days, or is their daily rate higher? And of the participants who stay >7 days, a majority were less than one year; this brings up topics around the age of immunization initiation which is never brought up in the discussion.

12. Table 2 lists “Treatment” costs. What are Treatment costs? Drugs? The Study Procedure section says direct health care costs are drugs, supplies, and investigations, but Table 2 lists direct health care costs as Blood Test, Radiology, and Treatment. Please clarify terminology and how costs were estimated and categorized.

13. Table 3 displays that immunized and non immunized patients cost the hospital the same amount. Supplemental Table 1 does establish that 13/30 of the high-cost-Dead at Discharge individuals are non immunized, but no analysis is done of the 185 high-cost-Comorbidity individuals regarding immunization status.

Discussion Comments:

14. Many comparisons with Pakistan but no context to similarity of hospitals, health systems, etc.

15. Do not refer to participants as ‘babies’, inclusion criteria was 0-12 years.

16. It is stated that immunization costs are less than a dollar and hospital treatment costs are high, “this is strong ground to base on to promote vaccination,” however the data in this study showed no difference in hospital spending when comparing immunized vs. non immunized.

17. “Since vaccines are available at health facilities, it is clear that the most important challenge is related to utilization/demand.” There is no basis for this statement, no regard or discussion of societal and economic barriers to health facility access.

Conclusion:

18. “Efforts are needed to promote immunization against measles and related mortality and thus reduce costs to the healthcare delivery system.” The data presented in this paper does not support this conclusion. A more accurate conclusion states that complications/comorbidities are present in a majority of fatal measles cases and comorbid cases carry a higher cost to the healthcare system.

Reviewer #3: This manuscript describes the burden of measles in hospitalized cases in an Ugandan national hospital. The costs of medical care and hospitalization are calculated and described. The authors analyze the factors associated with increased hospital cost. Overall, this paper is structured well. The English writing is adequate. The data combine clinical information and cost, thus providing useful information for their country’s national program to improve vaccination coverage and follow up.

Minor comments

There are both UK and American English spellings in the paper that need to be resolved. Be careful to make the discussion and conclusions based on the data and not overly speculative.

Abstract

No comments here, but some changes may be needed that are related to comments in the body of the manuscript.

Introduction

Overall: Suggest to include a map to show the percentages of measles vaccination and where the outbreaks are.

“Besides morbidity and mortality, costs related to treating a child with measles pose a big burden to the family and the already financially stretched health care delivery system, and are increased when the measles is complicated.” It would be helpful to give some details of what defines measles complications.

Methods

Study design and setting: please describe the national guidelines for measles vaccine in your setting.

“Those with incomplete data like undocumented inpatient number, age,and sex were excluded.” List all inclusion and exclusion critiera. A trial diagram should be presented and I suggest that the authors use the STROBE checklist to confirm their work.

“The first chart was selected using simple random sampling.” Give the details of the random sampling rather than using the word ‘simple’.

“Information abstracted from the patient’s charts included: Demographics (age, gender)….” If you mean male or female, then ‘sex’ will be more precise than ‘gender’, as gender has many categories.

“These were checked against the patient’s record daily for completeness and accuracy.” I do not understand why the DAF's were checked against the patient record every day. Is this not a retrospective study?

“School of Medicine Research and Ethics Committee (SOMREC) and The Mulago Hospital Institution Review Board.” Provide the ethical approval number of the EC.

Results

“A total of 570 patients were admitted between 1st January and 31st December 2018

with a clinical diagnosis of Measles and we managed to retrieve 553…” Measles should not be capitalized. '...we managed to retrieve....' could be changed to something more objective such as ' ..... and 553 charts were retrieved...'

Table 1: Definitions of Immunization status need to be more clear. Does 'yes' mean up to date or had at least one vaccine? Does 'no' mean never before or due? Does 'Not due' mean up to date? Do immunizations include any vaccines or only measles vaccine? It would be interesting to know how many were too young to have received measles vaccine, how many were eligible but did not receive measles vaccine. This is important because the infants who were not eligible for measles vaccine (due to their age) should not be included in the cost analysis as measles vaccine access is not the issue. This must be specified in the study methods.

I also suggest to present whole percentages as the addition of the decimal point does not add any more precision.

“Out of these, 17 (57%) were male. 21 (70%) of these were aged between 0-1 years and 13 (44%) were not immunized.” Of the ones not immunized, how many were were <12 months (or 9 months) and not yet eligible for vaccination?

Figure 2: Please clean up the x-axis labels. There should be no underscores and PTB needs to be defined.

“The median length of hospital stay among children admitted with measles was 4.0 (IQR

3.0-7.0) days.” This result is already mentioned above. Please report it only once.

“Of these, 46 (77 %), were less than one year and 36….” Of which one - the ones that stayed less than or more than 7 days?

Table 2: Clean the Item names (ie, Maintenance)

“Male patients incurred higher average costs (36.08USD, SD=35.09) than their female

counterparts (30.24USD, SD=24.89), (F=6.126, P=0.011).” There may be correlating variables here. For example, were the patients with co-morbidities more likely to have complications? Were males more likely to have co-morbidities? Hospital duration should be included here. Please perform either a multivariable ANOVA or linear regression that includes all of the potentially related variables in the model. This also would need to be described in the statistical section.

“Patients who stayed for over 15 days in the hospital incurred higher average costs….than those who stayed between 8-15 days….” The reader does not know how many persons stayed >15 days. This should be presented above. I would suggest using similar groupings and the same definition as what were presented above (more than 7 days).

Table 3: Double check all the numbers in this table. All the standard deviation values seem too high and definitely should not greater than the mean. The number of deaths does not match the text, where around 10% of the cases had died (not 45% as is stated in this table). Hospital stay and complications may be collinear - this probably should be addressed in the results. Once you have shown that they are collinear, perhaps only one of them (either hospital stay or complications) needs to be presented.

Discussion

“Mortality was found highest among the children who were not immunised, possibly

because they developed severe complications.” With your data, you can run this analysis using a multivariable ANOVA or logistic regression model (death yes or no) which includes the related variables (sex, co-morbidities, hospital stay/complications, immunization status, etc).

“……..it is possible that they had also missed the rest of the vaccinations including those for

pneumococcal pneumonia and influenza.” Please be careful what conclusions are made here. From the results, I have not been able to determine which infants received a vaccine (which should include pneumococcal pneumonia if they are <6 months old), but not yet measles (because they were not yet eligible by age). And the data does not show which cases that missed the measles vaccine visit also missed all of the previous vaccine visits. It is important to differentiate those children who have missed a measles vaccine opportunity versus those who are not yet eligible (and should not be included in the cost analysis).

“…..was on average 122,500

Ugandan shillings which is approximately 33.13 US dollars (1 US Dollar=3697.92 UGX) [17], much of which goes to treatment and supplies.” How much goes to treatment and supplies? (A percentage would be interesting here).

“Such costs are far beyond the cost required to immunise a child against measles which the

World Health Organisation estimates to be less than a dollar.” How much is a measles vaccine in your setting?

“The possible explanation for this is that those with co-morbidities had to be managed for both measles in addition to other co-morbidities.” Is it more expensive because they had higher risks for complications and stayed in the hospital longer? This will need to be addressed in the analysis and results.

“Patients who also stayed longer in hospital (> 15 days) incurred higher average costs than those who stayed for less days.” Please refer to the comment previous. Complications, co-morbidities and hospital stay are likely related. This needs to be addressed in the analysis.

“There is therefore a possibility that some diagnoses of measles were

actually other viral exanthems like rubella, scarlet fever, varicella and roseola.” Suggest specifically stating that measles serology was not performed.

“We instead assumed that they were received since they would ideally be required

for management of these cases.” This is an interesting point especially to readers who live in cultures where this occurs less often or rarely. It might be worthwhile adding it to your statistical section or study methods – specifically stating that you are assuming all costs incurred were received by the patient.

“The estimated average direct health care cost of treating a measles case in the National Referral Hospital was considerably high.” I suggest adding a 'cost savings' value. For example, of the cases in this publication, if 90% (since a single dose of MMR vaccine should result in 90% of the population to be immune) hospitalizations (xx numbers of cases) were prevented with measles vaccination, then xxx dollars (total cost minus the vaccine cost) would have been saved by the health system.

Acknowledgements

“…and the participants whose charts we used.” Suggest changing the word ‘charts’ to ‘information’.

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0001523.r003

Decision Letter 1

Abram L Wagner

31 May 2023

PGPH-D-22-02083R1

The immediate treatment outcomes and cost estimate for managing clinical measles in children admitted at Mulago Hospital: a retrospective cohort study.

PLOS Global Public Health

Dear Dr. Namugga,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jun 30 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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Abram L. Wagner, PhD, MPH

Academic Editor

PLOS Global Public Health

Journal Requirements:

1. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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Additional Editor Comments (if provided):

We appreciate your edits to the manuscript. I have just a few minor issues to address.

Could you provide more detail about the sample size? You mention sample frame and that you only needed half of that, but could you explain why? (for instance, something like: "to estimate [either a relationship or a statistic] we would need a sample size of XXXX with an alpha of 0.05 and a power of 80%")

Could you edit the figures? In essence, try to make them have higher quality in terms of DOI and be conscientious of how you use screenshots. For one, remove the spell check so there aren't wiggly lines underneath the text. I believe you are using Microsoft Office. Some people have found ways of exporting higher quality images (for instance, see https://learn.microsoft.com/en-us/office/troubleshoot/powerpoint/change-export-slide-resolution) using PowerPoint. If you have another method, that possibly could work.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0001523.r005

Decision Letter 2

Abram L Wagner

23 Jun 2023

The immediate treatment outcomes and cost estimate for managing clinical measles in children admitted at Mulago Hospital: a retrospective cohort study.

PGPH-D-22-02083R2

Dear MD Namugga,

We are pleased to inform you that your manuscript 'The immediate treatment outcomes and cost estimate for managing clinical measles in children admitted at Mulago Hospital: a retrospective cohort study.' has been provisionally accepted for publication in PLOS Global Public Health.

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Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Abram L. Wagner, PhD, MPH

Academic Editor

PLOS Global Public Health

***********************************************************

Thank you for your work responding to prior critiques. I recommend the following changes to the abstract, but this is not required prior to publication:

The end of abstract intro is "Whereas the cost of measles vaccination is

known, the cost of treating measles is unknown. Knowledge of this can inform policy

and planning for healthcare services."

I would instead switch this to the aims "This study aims to ...."

For beginning of abstract results, you write "Out of 536 patient charts, 267 were chosen, 51% were for females and the

median age was 1.0 (IQR 0.75-2) years."

I would simplify this to: "Among 267 reviewed patient charts, the median age was 1.0 (IQR 0.75-2) years."

Reviewer Comments (if any, and for reference):

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Data abstraction form.

    (DOCX)

    S1 Table. Immunisation status of the 185 children with complications.

    (DOCX)

    S2 Table. Demograhic characteristics of participants who died.

    (DOCX)

    S3 Table. Characteristics of participants who stayed longer than 7 days.

    (DOCX)

    Attachment

    Submitted filename: RESPONSE TO REVIEWERS.docx

    Attachment

    Submitted filename: Response to reviewers.docx

    Data Availability Statement

    Data cannot be shared publicly as it contains confidential and potentially identifying patient information, and because they are the property of the Mulago National Referral Hospital. Request for data can be made to the Chairman School of Medicine Makerere University College of Health Sciences Institution Review Board (contact via: ponsiano.ocama@gmail.com, + 256772421190) for researchers who meet the criteria for access to confidential data.


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