Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Public Health, 15 July 2025

Sec. Health Economics

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1575125

Health care resource use and costs associated with adult pneumococcal disease in the United States from 2017 to 2019, stratified by age and health risk: a retrospective cohort study

Nicole Cossrow
Nicole Cossrow*M. Doyinsola BaileyM. Doyinsola BaileyYi-Ling HuangYi-Ling HuangLei AiLei AiSalini MohantySalini MohantyValina C. McGuinnValina C. McGuinnKelly D. JohnsonKelly D. Johnson
  • Merck & Co., Inc., Rahway, NJ, United States

Background: Adult pneumococcal disease (PD) represents a significant clinical and economic burden in the United States. Individuals with immunocompromising conditions and other chronic medical conditions, as well as those ≥65 years of age, have an increased risk of acute PD and its long-term complications. The aim of the current study was to describe the health care resource use and direct health care costs associated with invasive PD (IPD) and non-bacteremic pneumococcal pneumonia (NBPP) among adults in the United States, stratified by age group and health-based risk level.

Methods: This was a retrospective study of administrative claims from the Merative™ MarketScan® Commercial Database from 2017 to 2019. The study population comprised individuals ≥18 years of age with ≥1 episode of IPD (with hospitalization) or NBPP (with or without hospitalization) during the study period. The study outcomes were the PD-associated health care resource use (outpatient visits and length of any hospitalizations, in days) and direct health care costs per episode.

Results: The average health care resource use and direct costs associated with PD were significantly higher for IPD (mean [95% CI] overall cost $49,481 [$45,803–53,159] per episode; N = 949 affected individuals) than for NBPP with hospitalization ($27,330 [$23,807–30,852] per episode; N = 389) and NBPP without hospitalization ($1,090 [$927–1,252] per episode; N = 1,951). For IPD and for NBPP without hospitalization, the direct costs of treatment were significantly higher among groups with immunocompromising or other relevant comorbidities. The costs associated with NBPP without hospitalization were also significantly higher in the oldest age group (≥65 years).

Conclusion: Targeting PD prevention efforts to high-risk groups based on age and/or health risk level could decrease the clinical and economic burden of adult PD in the US.

1 Introduction

Pneumococcal disease (PD) is caused by the bacterium Streptococcus pneumoniae (1, 2). The most common form of adult invasive PD (IPD)—an infection in a sterile anatomical site—is bacteremic pneumococcal pneumonia, while non-invasive forms include non-bacteremic pneumococcal pneumonia (NBPP) (1, 2). Severe PD, and especially severe IPD, is associated with a high risk of hospitalization, death, and complications such as new or exacerbated chronic medical conditions (CMCs) affecting various organs (13). Adults ≥65 years of age, and adults of any age with immunocompromising conditions (ICs) or certain other CMCs, are at particularly high risk of acute PD and its long-term complications (412).

Effective pneumococcal vaccines are available in the United States (US) and recommended by the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices (ACIP) for high-risk adults: i.e., those ≥19 years of age with an IC or CMC, and all older adults (the prior recommendation for adults ≥65 years of age was updated in October 2024 to include all adults ≥50 years of age) (1317). However, vaccine uptake among these vulnerable sub-populations remains low (1421) and PD is still responsible for a substantial disease burden among US adults (2, 6, 7, 912, 2227).

Despite this substantial burden, there is limited information on how known age- and health-based risk factors for PD affect health care resource use (HCRU) and costs. The available evidence generally suggests that age- and comorbidity-related risk factors for PD also increase the levels of HCRU and the costs associated with the treatment of PD, but these relationships are not consistent across studies and disease types (7, 912, 25, 28). In addition, many of these studies did not distinguish between inpatient and outpatient care, while many studies assessed broad diagnoses such as ‘all-cause pneumonia’ or ‘community-acquired pneumonia’ that are not necessarily specific to pneumococcal forms of the disease.

Comprehensive up-to-date information on the HCRU and costs associated with different forms of adult PD among different age and health risk groups would help inform future disease prevention and treatment efforts. The objectives of the current study were therefore to describe the HCRU and direct health care costs of IPD and NBPP among US adults, overall and stratified by hospitalization status, age, and health-based risk level.

2 Materials and methods

2.1 Study design and data source

This was a retrospective cohort study of US adults ≥18 years of age who had a diagnosis of IPD or NBPP between January 1, 2017 and December 31, 2019. This study period reflects the most recent available data from before the COVID-19 pandemic; the public health measures enacted during the first phases of the pandemic affected the incidence of PD and may also have affected the delivery and costs of health care for PD. Data were obtained from the Merative™ MarketScan® Commercial Database, which contains de-identified administrative data on enrollee sociodemographic characteristics, diagnoses, prescriptions, HCRU, and associated direct health care costs in inpatient, outpatient, and pharmacy settings. As no identifiable data were included in the study, no specific informed consent or ethics committee approval was required.

2.2 Study population

Claims from individuals who were enrolled in a commercial health insurance plan included in the study database during the study period (January 1, 2015–December 31, 2019) and had ≥1 diagnosis of PD between January 1, 2017 and December 31, 2019 were eligible for inclusion. The index date was the first date of diagnosis with PD within each study year (2017, 2018, or 2019). Pneumococcal disease was identified using International Classification of Diseases, Tenth Revision (ICD-10) codes with clinical modification in inpatient and/or outpatient claims (Supplementary Table 1). Eligible PD episodes were associated with a specific diagnosis of IPD (with hospitalization) or NBPP (with or without hospitalization) on the index date. A single episode was defined as including all uses of any PD code within a 90-day period beginning on the index date. Hospitalization was identified by any evidence of an inpatient claim with IPD or NBPP as the primary diagnosis within a calendar year following the index date. Episodes with a diagnosis of IPD but no record of hospitalization were excluded, as IPD is generally a very serious condition that requires hospitalization, and outpatient-only episodes were likely associated with misdiagnoses or miscoded claims. We also excluded episodes of recurrent PD, defined as a diagnosis of any form of PD within 30 days prior to the index date. Additional eligibility criteria were enrollee age of ≥18 years on the index date, with continuous enrollment (i.e., no insurance coverage gaps of >45 days) for ≥2 years before and ≥6 months after the index date.

Each individual was assigned to one or more annual cohorts based on the calendar year(s) of their index date(s), as well as the relevant age group (18–49, 50–64, or ≥65 years of age on index date) and health risk category. Health risk was defined per ACIP’s current pneumococcal vaccination recommendations (Supplementary Table 2) and assigned based on evidence for the use of relevant ICD, National Drug Code, and/or Healthcare Common Procedure Coding System/Current Procedural Terminology (HCPCS/CPT-4) codes (available upon request) during the 2-year period immediately preceding the index date (15, 29). Individuals with the highest risk were those with ≥1 IC, cochlear implant, or cerebrospinal fluid leak (‘IC’ group), while the moderate risk group comprised individuals with no IC but ≥1 relevant CMC (‘CMC’ group). Individuals with ≥2 relevant conditions from different risk categories were assigned to the higher-risk category. All other individuals were assigned to the low-risk ‘Healthy’ group.

2.3 Variables

Health care resource use associated with PD was defined as any inpatient or outpatient encounter that was associated with an individual’s first eligible episode of PD in a given calendar year. The total number of PD-related outpatient visits, and the length in days of any PD-related hospitalizations, were recorded for each individual. The unadjusted costs of all instances of PD-related HCRU were also extracted from the database and classified as inpatient, outpatient, or emergency department (ED) costs per episode.

2.4 Statistical analysis

The PD-related HCRU and health care costs per episode were analyzed using descriptive statistics (mean, standard deviation [SD], and 95% confidence interval [CI]). Analyses were stratified by annual cohort, diagnosis and associated hospitalization status, and age and/or health risk group.

3 Results

3.1 Pneumococcal disease incidence stratified by annual cohort, age group, and health risk group

The annual number of individuals with ≥1 episode of each PD decreased during the study period: in 2017 there were 342 individuals with ≥1 diagnosis of IPD, 159 of NBPP with hospitalization, and 880 of NBPP with no hospitalization, compared to 285, 117, and 490 individuals, respectively, in 2019 (Table 1). Most affected individuals were in the 2 oldest age groups and/or 2 highest health risk groups. For example, a combined 79.3% of all individuals with ≥1 episode of IPD, 81.7% of those with NBPP with hospitalization, and 73.4% of those with NBPP without hospitalization were in the 50–64 or ≥65 years of age groups, while the combined CMC and IC groups accounted for 91.6% of all individuals with a diagnosis of IPD, 92.7% of those with NBPP with hospitalization, and 80.2% of those with NBPP without hospitalization.

Table 1
www.frontiersin.org

Table 1. Number of individuals with ≥1 episode of pneumococcal disease, stratified by annual cohort, age, and risk group.

3.2 Invasive pneumococcal disease

Among the 3 annual cohorts, IPD was associated with an overall average of 5.3–5.7 outpatient visits per episode and a hospital stay of 8.8–10.3 days (Table 2). Hospitalizations were generally longer for older individuals, with a range among the 3 annual cohorts of 9.8–11.1 days for those 50–64 years of age and 7.7–10.3 days for those ≥65 years of age, compared to 7.9–8.6 days for those 19–49 years of age. Individuals with a higher health risk status also had longer hospitalizations than those in the Healthy group (8.9–12.8 days for the CMC group and 8.4–9.4 days for the IC group, compared to 6.3–8.3 days for the Healthy group). This pattern was consistent across all age groups.

Table 2
www.frontiersin.org

Table 2. Per episode health care resource use associated with invasive pneumococcal disease, stratified by annual cohort, age, and risk group.

The overall average cost per episode of pneumococcal disease across all 3 annual cohorts are summarized in Table 3, stratified by age and/or health risk group; detailed breakdowns by annual cohort and cost type (inpatient, outpatient, and ED) are presented in Figure 1A and Supplementary Table 3. Inpatient costs contributed the bulk of the overall costs ($43,888–49,266 per episode in the overall annual cohort groups, compared to $2,401–3,359 for outpatient and $88–117 for ED costs).

Table 3
www.frontiersin.org

Table 3. Total cost per episode of pneumococcal disease 2017–2019, stratified by age and risk group.

Figure 1
Bar charts showing mean cost per episode in U.S. dollars for different patient categories from 2017 to 2019. A) Inpatient pneumonia cost is highest, particularly notable for cumulative data across all age groups and categories. B) Hospitalized non-bacterial pneumonia shows similar trends with slightly lower costs. C) Non-hospitalized non-bacterial cases have lower overall costs, with outpatient and emergency departments. Each category is divided into subgroups such as age and health conditions.

Figure 1. Cost per episode of (A) invasive pneumococcal disease, (B) non-bacteremic pneumococcal pneumonia with hospitalization, and (C) non-bacteremic pneumococcal pneumonia with no hospitalization, stratified by annual cohort, age, and risk group. CMC, chronic medical condition; IC, immunocompromising condition; IPD, invasive pneumococcal disease; NBPP, non-bacteremic pneumococcal pneumonia; USD, United States Dollar.

The overall per episode cost of IPD was similar across all 3 age groups, overall and within each health risk category. Costs were also similar between the CMC and the IC health risk groups, but each of these groups incurred significantly higher costs than the Healthy group (Healthy, mean [SD] $36,951 [$31,519] per episode, 95% CI $29,936–43,965; CMC, $51,685 [$59,741], $45,714–57,655; IC, $49,791 [$59,262], $44,487–55,095). The relationship between health risk and costs differed by age group: for individuals 18–49 years of age, costs were similar across all 3 health risk subgroups, whereas within the 50–64 and the ≥65 years of age groups, both the CMC and the IC subgroups had significantly higher costs compared to the respective Healthy subgroup.

3.3 Non-bacteremic pneumococcal pneumonia

Compared to IPD, NBPP with hospitalization was associated with fewer outpatient visits (mean 3.4–4.0 per episode among the 3 overall annual cohorts) and shorter hospital stays (6.3–6.5 days; Table 4). NBPP with no hospitalization was associated with even lower HCRU (2.7–2.9 outpatient visits per episode among the overall annual cohorts). The cost of NBPP with hospitalization was significantly lower than that of IPD when assessed overall (NBPP, mean [SD] $27,330 [$35,786] per episode, 95% CI $23,807–30,852 versus IPD, $49,481 [$57,734], $45,803–53,159), among all 3 age groups, and among the CMC and IC health risk groups, with and without further stratification by age group (Table 3; Figure 1B; Supplementary Table 4). The average cost of NBPP with no hospitalization was significantly lower than that of both IPD and NBPP with hospitalization, overall (mean [SD] $1,090 [$3,672] per episode, 95% CI $927–1,252) and across all age and/or health risk groups and subgroups (Table 3; Figure 1C; Supplementary Table 5).

Table 4
www.frontiersin.org

Table 4. Per episode health care resource use associated with non-bacteremic pneumococcal pneumonia with hospitalization, stratified by annual cohort, age, and risk group.

There was no statistically significant association between health risk or age group and the cost of NBPP with hospitalization (Table 3). In contrast, for NBPP with no hospitalization, costs were significantly higher among those ≥65 years of age compared to those 50–64 or 18–49 years of age, as well as among the CMC and IC groups compared to the Healthy group.

4 Discussion

In this study, we determined that the HCRU associated with an episode of IPD or NBPP was generally higher among older adults and among individuals with ≥1 IC or ≥1 CMC. The costs of IPD and of NBPP without hospitalization were significantly positively associated with health risk level, and the costs of NBPP without hospitalization were also significantly associated with age.

Across all age and risk groups and annual cohorts, the mean hospitalization length ranged from 4.7 to 7.4 days per episode for NBPP and from 6.3 to 12.8 days for IPD. These findings are generally consistent with the existing US literature. For instance, previous analyses reported average hospital stays per episode of IPD of 11.2 days (among adults ≥18 years of age), 9.7–12.2 days (≥18 years), or 6.1–8.4 days (19–64 years with ≥1 CMC or IC) (10, 12, 30). Studies of pneumonia-related HCRU have reported mean hospital stays of 4.6–5.6 days per episode of inpatient pneumonia (≥18 years), and a mean hospitalization time of 6.0 days for NBPP (19–64 years with ≥1 CMC or IC) or 1.4–4.0 days for all-cause pneumonia (19–64 years with ≥1 CMC or IC) (7, 12, 30). In contrast, another study reported longer average hospitalizations (11.0–23.4 days) for all-cause pneumonia among adults ≥18 years of age (10).

We also found that IPD was associated with a mean of 2.5–6.5 outpatient visits per episode, compared to 2.3–5.0 visits for NBPP with hospitalization and 1.6–4.2 visits for NBPP with no hospitalization. These values were generally consistent with previous studies, which observed ranges of 1.8–4.0 (≥18 years) or 0.1–0.2 (19–64 years with ≥1 CMC or IC) visits per episode of IPD (10, 12), 1.2–1.8 visits per episode of inpatient pneumonia or 1.0–1.1 visits per episode of outpatient pneumonia (≥18 years) (7), and 1.4–2.3 (≥18 years) or 0.2–0.6 (19–64 years with ≥1 CMC or IC) visits per episode of all-cause pneumonia (10, 12).

Our estimated mean costs across all age and/or health risk groups were $23,221–56,387 per episode for IPD, $18,532–49,749 for NBPP with hospitalization, and $380–1,770 for NBPP with no hospitalization. Previous analyses using the same database reported generally similar ranges of $10,723–71,198 per episode of IPD (19–64 years with ≥1 CMC or IC) (12), and $2,178–4,993 (≥18 years) or $4,725–11,847 (19–64 years with ≥1 CMC or IC) per episode of all-cause pneumonia (9, 12). A study that used the same database in combination with 2 others estimated overall per episode costs of $20,897–43,349 for IPD and $4,247–16,775 for pneumonia (≥18 years) (10).

The costs associated with IPD and NBPP without hospitalization were significantly higher among the IC and/or CMC groups compared with healthy individuals; the cost of NBPP with no hospitalization was also significantly higher among the oldest age group than among younger adults. Several prior pneumonia studies identified similar associations (7, 912, 25, 28). For example, a claims database study found that the mean length of hospitalization for all-cause pneumonia was 1.4 days for healthy individuals, 2.4 days for individuals with ≥1 CMC, and 3.5 days for those with ≥1 IC (12). In a previous database study of the impact of age on PD-related costs, the mean cost per episode of pneumonia was estimated to range from $2,178 among adults 18–49 years of age to $4,993 among those ≥85 years of age (9, 25). In a similar analysis based on health risk rather than age group, the estimated mean cost per episode of pneumonia was $4,725 among healthy adults, $6,534 among those with ≥1 CMC, and $9,168 among those with ≥1 IC (12).

Fewer studies have assessed the HCRU and costs associated with IPD. Two previous claims database studies identified a clear positive association between both age and risk level and the HCRU associated with pneumonia, but not with IPD (10, 12). One of these analyses noted that the results for IPD were ‘not robust due to the relatively small number of identified episodes’, and also noted that the reduced prevalence of ICs among older age groups may have affected the results (10); a similar observation was included in the other study (12). While one of these studies found that the costs per episode of IPD were similar across all health risk levels (12), the other found that the younger of the 2 age groups assessed (18–64 years of age) incurred significantly higher costs per episode of IPD than did the older age group (≥65 years of age) (10). The current analysis stratified the study population into 3 age groups rather than 2 and found that the numerically highest costs of IPD were generally incurred by individuals 50–64 years of age, which may be consistent with the previous study (10). In addition, the database used in both analyses may not capture all claims for individuals ≥65 years of age with partial Medicare coverage, and thus the estimated HCRU and costs for this oldest age group may have been underestimated in both studies (10, 31).

The aging US population, as well as the increasing prevalence of relevant CMCs and the spread of antimicrobial-resistant strains of S. pneumoniae, are predicted to increase the clinical and economic burden of PD in the US in the coming years (26, 3234). These threats necessitate robust surveillance programs to monitor the spread of antimicrobial resistance and its impact on the economic burden of PD, as well as improved and more equitable preventive measures. Pneumococcal vaccination has consistently proven to be a cost-effective intervention in the US that reduces PD-associated HCRU and direct and indirect costs, especially among individuals with age- or comorbidity-related risk factors for PD (3539). As well as preventing PD, there is some evidence that adult pneumococcal vaccination can also improve clinical outcomes and reduce the HCRU and costs associated with breakthrough infections compared to similar episodes of PD among unvaccinated adults (4044). Increasing the uptake of adult pneumococcal vaccination may thus be a cost-effective means to reduce the overall burden of PD and decrease racial disparities in PD outcomes in the US (45, 46).

The large size of our study population allowed us to rigorously assess the HCRU and costs associated with different specific PD diagnoses, stratified by hospitalization status, age group, and health risk level. These data are particularly valuable for IPD, for which small sample sizes have hindered previous attempts to identify factors that affect these outcomes.

The study is also subject to some known limitations. As with any claims database, diagnostic miscoding may occur, potentially resulting in misclassification and measurement errors, which may have affected the accuracy of our estimates. Our cost estimates comprise only the direct insurer-paid costs of medical care and do not reflect the true economic burden of PD (35). However, the direct costs of PD-associated health care, especially inpatient care, are the primary driver of the overall economic burden of adult PD (7, 912, 2327), and our data thus capture a substantial portion of the overall economic burden of disease. Further, although the study database is considered representative of US individuals with commercial health insurance obtained through large employers, it is not representative of the entire adult US population (31). The lack of representation of adults without insurance (an estimated 8.0% of Americans in 2019 (47)), those with commercial insurance through smaller employers, those covered under Medicaid (an estimated 18.1% of Americans in 2019 (47)), or adults ≥65 years of age who obtain their insurance exclusively through Medicare may have introduced sociodemographic, clinical, or other biases that may have affected the study’s findings. For example, adults with Medicaid or Medicare insurance are likely to be older and have a higher prevalence of ICs and CMCs than commercially insured adults, which would be expected to affect both the incidence and outcomes of PD (48, 49). As a result, we likely underestimated the true incidence and cost of PD among the oldest and most medically fragile groups. The Merative™ MarketScan® Commercial Database does not include individual-level socioeconomic data, such as income or race/ethnicity. Consequently, differences in the incidence of PD risk factors and outcomes, including HCRU and costs, across racial/ethnic and socioeconomic groups may have affected the generalizability of the study (50, 51).

In conclusion, PD is associated with substantial HCRU and health care costs among US adults, particularly those with ICs or CMCs. Preventing PD via pneumococcal vaccination offers a means to reduce this clinical and economic burden of disease.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and the institutional requirements.

Author contributions

NC: Conceptualization, Writing – original draft, Writing – review & editing. MB: Conceptualization, Writing – original draft, Writing – review & editing. Y-LH: Formal analysis, Writing – original draft, Writing – review & editing. LA: Formal analysis, Writing – original draft, Writing – review & editing. SM: Writing – original draft, Writing – review & editing. VM: Writing – original draft, Writing – review & editing. KJ: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. Financial support for this study was provided entirely by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA. The funding agreement ensured the authors’ independence in designing the study, interpreting the data, writing, and publishing the report. The following authors are employed by the sponsor: NC, MB, Y-LH, LA, SM, VM, and KJ.

Acknowledgments

The authors thank Cath Ennis, PhD, in collaboration with ScribCo for medical writing assistance.

Conflict of interest

NC, MB, Y-LH, LA, SM, VM, and KJ are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, and may own stock and/or stock options in Merck & Co., Inc., Rahway, NJ, USA.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2025.1575125/full#supplementary-material

References

1. Drijkoningen, JJ, and Rohde, GG. Pneumococcal infection in adults: burden of disease. Clin Microbiol Infect. (2014) 20:45–51. doi: 10.1111/1469-0691.12461

Crossref Full Text | Google Scholar

2. Gierke, R, McGee, L, Beall, B, and Pilishivili, T. Pneumococcal disease In: SW Roush and LM Baldy, editors. Manual for the surveillance of vaccine-preventable diseases : Centers for Disease Control and Prevention (2020)

Google Scholar

3. Kruckow, KL, Zhao, K, Bowdish, DME, and Orihuela, CJ. Acute organ injury and long-term sequelae of severe pneumococcal infections. Pneumonia (Nathan). (2023) 15:5. doi: 10.1186/s41479-023-00110-y

PubMed Abstract | Crossref Full Text | Google Scholar

4. Centers for Disease Control and Prevention. Epidemiology and prevention of vaccine-preventable diseases. (2016). Available online at: https://www.cdc.gov/vaccines/pubs/pinkbook/chapters.html (Accessed April 3, 2019).

Google Scholar

5. Davidson, RN, and Wall, RA. Prevention and management of infections in patients without a spleen. Clin Microbiol Infect. (2001) 7:657–60. doi: 10.1046/j.1198-743x.2001.00355.x

PubMed Abstract | Crossref Full Text | Google Scholar

6. Grant, LR, Meche, A, McGrath, L, Miles, A, Alfred, T, Yan, Q, et al. Risk of pneumococcal disease in US adults by age and risk profile. Open Forum Infect Dis. (2023) 10:–ofad192. doi: 10.1093/ofid/ofad192

PubMed Abstract | Crossref Full Text | Google Scholar

7. Huang, SS, Johnson, KM, Ray, GT, Wroe, P, Lieu, TA, Moore, MR, et al. Healthcare utilization and cost of pneumococcal disease in the United States. Vaccine. (2011) 29:3398–412. doi: 10.1016/j.vaccine.2011.02.088

PubMed Abstract | Crossref Full Text | Google Scholar

8. Kuchar, E, Miskiewicz, K, and Karlikowska, M. A review of guidance on immunization in persons with defective or deficient splenic function. Br J Haematol. (2015) 171:683–94. doi: 10.1111/bjh.13660

PubMed Abstract | Crossref Full Text | Google Scholar

9. Tong, S, Amand, C, Kieffer, A, and Kyaw, MH. Trends in healthcare utilization and costs associated with pneumonia in the United States during 2008-2014. BMC Health Serv Res. (2018) 18:715. doi: 10.1186/s12913-018-3529-4

Crossref Full Text | Google Scholar

10. Weycker, D, Farkouh, RA, Strutton, DR, Edelsberg, J, Shea, KM, and Pelton, SI. Rates and costs of invasive pneumococcal disease and pneumonia in persons with underlying medical conditions. BMC Health Serv Res. (2016) 16:182. doi: 10.1186/s12913-016-1432-4

Crossref Full Text | Google Scholar

11. Weycker, D, Strutton, D, Edelsberg, J, Sato, R, and Jackson, LA. Clinical and economic burden of pneumococcal disease in older US adults. Vaccine. (2010) 28:4955–60. doi: 10.1016/j.vaccine.2010.05.030

PubMed Abstract | Crossref Full Text | Google Scholar

12. Zhang, D, Petigara, T, and Yang, X. Clinical and economic burden of pneumococcal disease in US adults aged 19-64 years with chronic or immunocompromising diseases: an observational database study. BMC Infect Dis. (2018) 18:436. doi: 10.1186/s12879-018-3326-z

Crossref Full Text | Google Scholar

13. Centers for Disease Control and Prevention. CDC recommends lowering the age for pneumococcal vaccination from 65 to 50 years old. (2024). Available online at: https://www.cdc.gov/media/releases/2024/s1023-pneumococcal-vaccination.html (Accessed December 5, 2024).

Google Scholar

14. Kobayashi, M, Leidner, AJ, Gierke, R, Farrar, JL, Morgan, RL, Campos-Outcalt, D, et al. Use of 21-valent pneumococcal conjugate vaccine among U.S. adults: recommendations of the advisory committee on immunization practices - United States, 2024. MMWR Morb Mortal Wkly Rep. (2024) 73:793–8. doi: 10.15585/mmwr.mm7336a3

PubMed Abstract | Crossref Full Text | Google Scholar

15. Kobayashi, M, Pilishvili, T, Farrar, JL, Leidner, AJ, Gierke, R, Prasad, N, et al. Pneumococcal vaccine for adults aged ≥19 years: recommendations of the advisory committee on immunization practices, United States, 2023. MMWR Recomm Rep. (2023) 72:1–39. doi: 10.15585/mmwr.rr7203a1

PubMed Abstract | Crossref Full Text | Google Scholar

16. Musher, DM, Anderson, R, and Feldman, C. The remarkable history of pneumococcal vaccination: an ongoing challenge. Pneumonia (Nathan). (2022) 14:5. doi: 10.1186/s41479-022-00097-y

Crossref Full Text | Google Scholar

17. US Food & Drug Administration. CAPVAXIVE. (2024). Available online at: https://www.fda.gov/vaccines-blood-biologics/capvaxive (Accessed July 23, 2024).

Google Scholar

18. Centers for Disease Control and Prevention. Vaccination coverage among adults in the United States, National Health Interview Survey. (2021). Available online at: https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/pubs-resources/vaccination-coverage-adults-2021.html#:~:text=Coverage%20with%20at%20least%20one,%E2%80%93September%202021%20(17) (Accessed December 7, 2022).

Google Scholar

19. Williams, WW, Lu, PJ, O'Halloran, A, Kim, DK, Grohskopf, LA, Pilishvili, T, et al. Surveillance of vaccination coverage among adult populations - United States, 2015. MMWR Surveill Summ. (2017) 66:1–28. doi: 10.15585/mmwr.ss6611a1

PubMed Abstract | Crossref Full Text | Google Scholar

20. Yang, X, Zhang, D, and Ou, W. Pneumococcal vaccination patterns among persons aged 65 years or older in the United States: a retrospective database analysis. Vaccine. (2018) 36:7574–9. doi: 10.1016/j.vaccine.2018.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

21. Oliveira, GS, Oliveira, MLS, Miyaji, EN, and Rodrigues, TC. Pneumococcal vaccines: past findings, present work, and future strategies. Vaccines (Basel). (2021) 9:1338. doi: 10.3390/vaccines9111338

PubMed Abstract | Crossref Full Text | Google Scholar

22. Cossrow, N, Bailey, MD, Huang, YL, Ai, L, Mohanty, S, McGuinn, VC, et al. Incidence of pneumococcal disease and pneumococcal vaccine uptake among US adults by age and risk groups.

Google Scholar

23. De Graeve, D, and Beutels, P. Economic aspects of pneumococcal pneumonia: a review of the literature. PharmacoEconomics. (2004) 22:719–40. doi: 10.2165/00019053-200422110-00003

PubMed Abstract | Crossref Full Text | Google Scholar

24. McLaughlin, JM, McGinnis, JJ, Tan, L, Mercatante, A, and Fortuna, J. Estimated human and economic burden of four major adult vaccine-preventable diseases in the United States, 2013. J Prim Prev. (2015) 36:259–73. doi: 10.1007/s10935-015-0394-3

PubMed Abstract | Crossref Full Text | Google Scholar

25. Ozawa, S, Portnoy, A, Getaneh, H, Clark, S, Knoll, M, Bishai, D, et al. Modeling the economic burden of adult vaccine-preventable diseases in the United States. Health Aff (Millwood). (2016) 35:2124–32. doi: 10.1377/hlthaff.2016.0462

PubMed Abstract | Crossref Full Text | Google Scholar

26. Reynolds, CA, Finkelstein, JA, Ray, GT, Moore, MR, and Huang, SS. Attributable healthcare utilization and cost of pneumonia due to drug-resistant streptococcus pneumonia: a cost analysis. Antimicrob Resist Infect Control. (2014) 3:16. doi: 10.1186/2047-2994-3-16

Crossref Full Text | Google Scholar

27. Shiri, T, Khan, K, Keaney, K, Mukherjee, G, McCarthy, ND, and Petrou, S. Pneumococcal disease: a systematic review of health utilities, resource use, costs, and economic evaluations of interventions. Value Health. (2019) 22:1329–44. doi: 10.1016/j.jval.2019.06.011

PubMed Abstract | Crossref Full Text | Google Scholar

28. Niederman, MS, McCombs, JS, Unger, AN, Kumar, A, and Popovian, R. The cost of treating community-acquired pneumonia. Clin Ther. (1998) 20:820–37. doi: 10.1016/S0149-2918(98)80144-6

PubMed Abstract | Crossref Full Text | Google Scholar

29. Centers for Disease Control and Prevention. Use of 13-valent pneumococcal conjugate vaccine and 23-valent pneumococcal polysaccharide vaccine for adults with immunocompromising conditions: recommendations of the advisory committee on immunization practices (ACIP). MMWR Morb Mortal Wkly Rep. (2012) 61:816–9.

PubMed Abstract | Google Scholar

30. Stack, SJ, Martin, DR, and Plouffe, JF. An emergency department-based pneumococcal vaccination program could save money and lives. Ann Emerg Med. (1999) 33:299–303. doi: 10.1016/S0196-0644(99)70366-5

PubMed Abstract | Crossref Full Text | Google Scholar

31. Kulaylat, AS, Schaefer, EW, Messaris, E, and Hollenbeak, CS. Truven health analytics MarketScan databases for clinical research in colon and rectal surgery. Clin Colon Rectal Surg. (2019) 32:54–60. doi: 10.1055/s-0038-1673354

PubMed Abstract | Crossref Full Text | Google Scholar

32. Boersma, P, Black, LI, and Ward, BW. Prevalence of multiple chronic conditions among US adults, 2018. Prev Chronic Dis. (2020) 17:E106. doi: 10.5888/pcd17.200130

PubMed Abstract | Crossref Full Text | Google Scholar

33. Talbird, SE, La, EM, Carrico, J, Poston, S, Poirrier, JE, DeMartino, JK, et al. Impact of population aging on the burden of vaccine-preventable diseases among older adults in the United States. Hum Vaccin Immunother. (2021) 17:332–43. doi: 10.1080/21645515.2020.1780847

PubMed Abstract | Crossref Full Text | Google Scholar

34. Wroe, PC, Finkelstein, JA, Ray, GT, Linder, JA, Johnson, KM, Rifas-Shiman, S, et al. Aging population and future burden of pneumococcal pneumonia in the United States. J Infect Dis. (2012) 205:1589–92. doi: 10.1093/infdis/jis240

PubMed Abstract | Crossref Full Text | Google Scholar

35. Cafiero-Fonseca, ET, Stawasz, A, Johnson, ST, Sato, R, and Bloom, DE. The full benefits of adult pneumococcal vaccination: a systematic review. PLoS One. (2017) 12:e0186903. doi: 10.1371/journal.pone.0186903

PubMed Abstract | Crossref Full Text | Google Scholar

36. Carrico, J, Talbird, SE, La, EM, Poston, S, Poirrier, JE, DeMartino, JK, et al. Cost-benefit analysis of vaccination against four preventable diseases in older adults: impact of an aging population. Vaccine. (2021) 39:5187–97. doi: 10.1016/j.vaccine.2021.07.029

PubMed Abstract | Crossref Full Text | Google Scholar

37. Chen, J, O'Brien, MA, Yang, HK, Grabenstein, JD, and Dasbach, EJ. Cost-effectiveness of pneumococcal vaccines for adults in the United States. Adv Ther. (2014) 31:392–409. doi: 10.1007/s12325-014-0115-y

PubMed Abstract | Crossref Full Text | Google Scholar

38. Ishigami, J, Padula, WV, Grams, ME, Chang, AR, Jaar, B, Gansevoort, RT, et al. Cost-effectiveness of pneumococcal vaccination among patients with CKD in the United States. Am J Kidney Dis. (2019) 74:23–35. doi: 10.1053/j.ajkd.2019.01.025

PubMed Abstract | Crossref Full Text | Google Scholar

39. Wateska, AR, Nowalk, MP, Lin, CJ, Harrison, LH, Schaffner, W, Zimmerman, RK, et al. Pneumococcal vaccination in adults aged >/=65 years: cost-effectiveness and health impact in U.S. populations. Am J Prev Med. (2020) 58:487–95. doi: 10.1016/j.amepre.2019.10.022

PubMed Abstract | Crossref Full Text | Google Scholar

40. Fisman, DN, Abrutyn, E, Spaude, KA, Kim, A, Kirchner, C, and Daley, J. Prior pneumococcal vaccination is associated with reduced death, complications, and length of stay among hospitalized adults with community-acquired pneumonia. Clin Infect Dis. (2006) 42:1093–101. doi: 10.1086/501354

PubMed Abstract | Crossref Full Text | Google Scholar

41. Imaz, A, Falco, V, Penaranda, M, Jordano, Q, Martinez, X, Nadal, C, et al. Impact of prior pneumococcal vaccination on clinical outcomes in HIV-infected adult patients hospitalized with invasive pneumococcal disease. HIV Med. (2009) 10:356–63. doi: 10.1111/j.1468-1293.2009.00695.x

PubMed Abstract | Crossref Full Text | Google Scholar

42. Li, C, Gubbins, PO, and Chen, GJ. Prior pneumococcal and influenza vaccinations and in-hospital outcomes for community-acquired pneumonia in elderly veterans. J Hosp Med. (2015) 10:287–93. doi: 10.1002/jhm.2328

PubMed Abstract | Crossref Full Text | Google Scholar

43. Manzur, A, Izquierdo, C, Ruiz, L, Sousa, D, Bayas, JM, Celorrio, JM, et al. Influence of prior pneumococcal and influenza vaccination on outcomes of older adults with community-acquired pneumonia. J Am Geriatr Soc. (2011) 59:1711–6. doi: 10.1111/j.1532-5415.2011.03541.x

PubMed Abstract | Crossref Full Text | Google Scholar

44. Mykietiuk, A, Carratala, J, Dominguez, A, Manzur, A, Fernandez-Sabe, N, Dorca, J, et al. Effect of prior pneumococcal vaccination on clinical outcome of hospitalized adults with community-acquired pneumococcal pneumonia. Eur J Clin Microbiol Infect Dis. (2006) 25:457–62. doi: 10.1007/s10096-006-0161-8

PubMed Abstract | Crossref Full Text | Google Scholar

45. Altawalbeh, SM, Wateska, AR, Nowalk, MP, Lin, CJ, Harrison, LH, Schaffner, W, et al. Pneumococcal vaccination strategies in 50-year-olds to decrease racial disparities: a US societal perspective cost-effectiveness analysis. Value Health. (2024) 27:721–9. doi: 10.1016/j.jval.2024.02.021

PubMed Abstract | Crossref Full Text | Google Scholar

46. Wateska, AR, Patricia Nowalk, M, Lin, CJ, Harrison, LH, Schaffner, W, Zimmerman, RK, et al. Cost-effectiveness of revised US pneumococcal vaccination recommendations in underserved minority adults < 65-years-old. Vaccine. (2022) 40:7312–20. doi: 10.1016/j.vaccine.2022.10.066

PubMed Abstract | Crossref Full Text | Google Scholar

47. United States Census Bureau. Health insurance coverage in the United States: 2019. (2020).

Google Scholar

48. The Commonwealth Fund. Commonwealth Fund survey of high-need patients 2016. (2016). Available online at: https://www.commonwealthfund.org/publications/surveys/2016/dec/2016-commonwealth-fund-survey-high-need-patients (Accessed March 8, 2024).

Google Scholar

49. The Commonwealth Fund. Medicaid cuts would affect older, sicker Americans. (2017). Available online at: https://www.commonwealthfund.org/blog/2017/medicaid-cuts-would-affect-older-sicker-americans (Accessed March 8, 2024).

Google Scholar

50. Burton, DC, Flannery, B, Bennett, NM, Farley, MM, Gershman, K, Harrison, LH, et al. Socioeconomic and racial/ethnic disparities in the incidence of bacteremic pneumonia among US adults. Am J Public Health. (2010) 100:1904–11. doi: 10.2105/AJPH.2009.181313

PubMed Abstract | Crossref Full Text | Google Scholar

51. Nowalk, MP, Wateska, AR, Lin, CJ, Schaffner, W, Harrison, LH, Zimmerman, RK, et al. Racial disparities in adult pneumococcal vaccination indications and pneumococcal hospitalizations in the U.S. J Natl Med Assoc. (2019) 111:540–5. doi: 10.1016/j.jnma.2019.04.011

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: pneumococcal disease, invasive pneumococcal disease, non-bacteremic pneumococcal pneumonia, United States, health care resource use, health economics

Citation: Cossrow N, Bailey MD, Huang Y-L, Ai L, Mohanty S, McGuinn VC and Johnson KD (2025) Health care resource use and costs associated with adult pneumococcal disease in the United States from 2017 to 2019, stratified by age and health risk: a retrospective cohort study. Front. Public Health. 13:1575125. doi: 10.3389/fpubh.2025.1575125

Received: 12 February 2025; Accepted: 14 June 2025;
Published: 15 July 2025.

Edited by:

Wenjun Wang, Xi’an Jiaotong University, China

Reviewed by:

Karolina Sobczyk, Medical University of Silesia, Poland
Henju Marjuki, Naval Medical Research Unit South, Peru

Copyright © 2025 Cossrow, Bailey, Huang, Ai, Mohanty, McGuinn and Johnson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Nicole Cossrow, bmljb2xlLmNvc3Nyb3dAbWVyY2suY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.