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PLOS ONE logoLink to PLOS ONE
. 2024 Apr 25;19(4):e0302300. doi: 10.1371/journal.pone.0302300

Polypharmacy and associated factors in South Korean elderly patients with dementia: An analysis using National Health Insurance claims data

Hea-Lim Kim 1, Hye-Jae Lee 2,*
Editor: Muhammad Eid Akkawi3
PMCID: PMC11045087  PMID: 38662655

Abstract

Background

Dementia is accompanied by several symptoms, including cognitive function decline, as well as behavioral and psychological symptoms. Elderly patients with dementia often experience polypharmacy, the concurrent use of multiple medications, due to chronic comorbidities. However, research on polypharmacy in patients with dementia is limited. This study aimed to characterize polypharmacy and associated factors among elderly patients with dementia in South Korea, and compare the characteristics of patients with and without dementia patients.

Methods

From the National Health Insurance Service (NHIS)-Senior cohort database, we extracted data on patients aged≥60 years who received outpatient treatment in 2019. Polypharmacy was defined as the concurrent use of five or more different oral medications for ≥90 days; excessive polypharmacy referred to the concurrent use of ten or more different oral medications for ≥90 days. We compared the prevalence of polypharmacy between patients with and without and identified the associated factors using a logistic regression model.

Results

About 70.3% and 23.7% of patients with dementia exhibited polypharmacy and excessive polypharmacy, respectively. After adjusting for conditions such as age and Charlson’s comorbidity index, the likelihood of polypharmacy and excessive polypharmacy significantly increased over time after the diagnosis of dementia. Additionally, under the same conditions, Medical Aid beneficiaries with dementia were more likely to experience polypharmacy and excessive polypharmacy compared to patients with dementia covered by National Health Insurance (NHI).

Conclusion

This study reports the latest evidence on the status and risk factors of polypharmacy in elderly patients with dementia. We proposed that careful monitoring and management are required for patients at high risk for polypharmacy.

Introduction

Dementia refers to a decline in cognitive functions including memory, language, and problem-solving, resulting from various causes, which significantly impairs quality of life [1]. While non-pharmacological interventions, such as cognitive and physical exercises, may improve cognitive function and delay the progression of disease, pharmacological treatment remains the primary clinical approach [2, 3]. Antipsychotics are often prescribed to treat the behavioral and psychological symptoms of dementia (BPSD) [46]. Moreover, elderly individuals with dementia often have comorbid chronic diseases [7]. Given that multiple pharmacological treatments may be prescribed to manage existing chronic diseases, often managed under fragmented healthcare systems with disease-specific treatment guidelines, patients with dementia are prone to polypharmacy [811].

Polypharmacy is commonly defined as the daily use of more than five medications, though criteria differ regarding the duration of medication exposure and inclusion of over-the-counter or traditional and complementary medicines [12, 13]. Given the potential adverse impacts on health and the efficacy of concurrently used treatments, polypharmacy is recognized as an important public health issue [12, 14, 15].

Polypharmacy in patients with dementia requires caution in several aspects, especially since its long-term effects are largely unknown [10, 11]. Given that dementia predominantly affects the elder population, changes in pharmacokinetics and pharmacodynamics may occur [16], yet most medications lack clinical trial evidence specifically for elderly patients [17]. Some associations have been reported between polypharmacy and function decline, cognitive impairment, and falls in elderly patients [18]. Cognitive function decline and memory loss (common symptoms of dementia) can further interfere with the identification of side effects and symptoms related to co-prescribed medications [19, 20]. Hence, despite the importance of addressing polypharmacy in patients with dementia, studies on this issue remain limited. Previous research has primarily focused on nursing home settings or potentially inappropriate medications, while studies on polypharmacy and associated factors in outpatient patients with dementia are relatively scarce [8, 2023].

With the aging global population, the number of individuals diagnosed with dementia increased by 117% worldwide between 1990 and 2016 [24], and is expected to continue increasing in future [25]. Consequently, the management of patients with dementia has become a crucial clinical service [2628]. In South Korea, one of the fastest aging countries, 10.3% (924,870 people) of the population aged≥65 years suffered from dementia in 2022, which is 1.7-times higher than that in 2012. The prevalence of dementia in South Korea was predicted to increase by another 1.6-fold by 2032 [29, 30]. Consequently, dementia has gained national research interest in South Korea, especially regarding its pharmacological treatment [3136]. Nevertheless, no study has addressed the characteristics of polypharmacy in patients with dementia. The study of polypharmacy in patients with dementia could provide valuable information not only for clinical practitioners and policy makers in Korea, where the population is aging rapidly, but also in other countries with slower population aging rates. In addition, a recent systematic literature review found that the prevalence of polypharmacy in patients with dementia varied considerably between regions [23]. This may reflect the influence of region-specific healthcare systems and the different settings of each study. The results of the study using representative data from Korea are expected to add additional evidence on polypharmacy in dementia patients, especially to the lack of evidence in Asian countries. To bridging this gap in knowledge, we aimed to determine the status and associated factors of polypharmacy among outpatients with dementia in 2019, using data sourced from the National Health Insurance Service (NHIS)-Senior cohort database. To elucidate the characteristics, prevalence, and risk factors of polypharmacy in dementia, we compared the data between patients with and without dementia.

Materials and methods

Data source and ethics

Data were sourced from the NHIS-Senior cohort database (2002–2019). The sample dataset accounted for 8% of the South Korean population aged 60–80 years as of 2008. Follow-up in this cohort was performed until 2019. Each year, about 8% of new individuals turned 60 were added to the cohort, and these were also followed until 2019.

The database includes comprehensive information on the utilization of healthcare services covered by National Health Insurance (NHI) and Medical Aid in South Korea, as well as demographic and socioeconomic information, medical and prescription records generated from healthcare visits, and long-term care utilization by the elderly [37]. NHI covers ~97% of the population, and Medical Aid for low-income individuals covers the remaining ~3%. Based on a cross-sectional study design, we used NHIS-Senior data for 2019—the most recent dataset. The data were de-identified of any personal information by the NHIS and provided remotely so that it could not be exported. For the analysis of this study, NHIS-Senior data were accessed from December 16, 2022 to June 19, 2023. Ethical clearance for the study was waived by the Institutional Review Board (IRB) of Woosuk University (October 20, 2021, at the beginning of the study; IRB no. ABN01-202305-02-V1). Due to a change in the corresponding author’s affiliation, ethical clearance exemption was again granted by the IRB of Korea National Open University (May 17, 2023; IRB no. ABN01-202305-02-V1).

Study population

This study included patients who used outpatient services in 2019 and had one or more oral medication prescription. Those who died before March 31, 2019, for whom the period corresponding to the polypharmacy definition criteria (see the Variables section) could not be observed, were excluded from the study. Based on previous definitions in similar studies [33, 34, 38], patients with dementia were identified as those who received at least one treatment with the primary or secondary disease codes F00, F01, F02, F03, G30, G31.82 (Korean Standard Classification of Diseases and Causes of Death-7; KCD-7; S1 Table), or those who were prescribed dementia medication (donepezil, galantamine, rivastigmine, and memantine) at least once in 2019. These criteria included not only patients with Alzheimer’s disease, vascular dementia, and dementia in other diseases, but also patients taking dementia medication without the aforementioned disease code.

Variables

Polypharmacy was defined as the concurrent use of five or more oral medications for ≥90 days; different medications were defined based on the World Health Organization Anatomical Therapeutic Chemical (WHO ATC) fourth-level classification. The definitions referred to the OECD methods of Health Care Quality and Outcomes Indicators [39]. The ATC code classifies medications into five hierarchical levels; the fourth level is defined according to the chemical, pharmacological, or therapeutic subgroups [40]. Excessive polypharmacy was defined as the simultaneous use of 10 or more different (based on the ATC fourth-level classification) oral medications for ≥90 days. All medications prescribed in 2019 were included; therefore, cases with prescription end dates (i.e., date the medication was prescribed + number of days prescribed) extending beyond 2019 were also included.

Age was categorized into 5-year intervals based on an individual’s age in 2019. Disability was classified into “severe disability” (Grades 1 to 3), “mild disability” (Grades 4 to 6)—based on national criteria [37]—and “no disability.” The disability grade is determined according to the criteria set for each type of disability by the Ministry of Health and Welfare notice when registering a disability [41]. The residential region was classified into five regions, i.e., Seoul-Metro (Seoul–Gyeonggi-do–Incheon), Chungcheong (Dajeon–Sejong–Chungcheongbuk-do–Chungcheongnam-do), Honam (Gwangju–Jeollanam-do–Jeollabuk-do), Gyeongsang (Busan–Daegu–Ulsan–Gyeongsangbuk-do–Gyeongsangnam-do), and Gangwon-Jeju (Gangwon-do–Jeju), based on location and administrative district. Most of the study population had no missing values, but a few had missing residential data. For these individuals, we imputed missing values based on the individual’s residential information for the previous year/-s. NHI patient income levels were divided into quintiles based on insurance contribution (the fifth quintile corresponds to the highest contribution), while Medical Aid beneficiaries, representing the lowest income group, were treated as a separate category. The type of long-term care benefits was classified, based on the earliest long-term care benefit records in 2019, as “institutional care” services provided upon admission to a nursing or community living home, “home care” services provided by a visiting caregiver or nurse, and “none” for those who did not receive long-term care benefits. Cases where there were both institutional and home care benefits for the same payment date were defined based on the long-term care benefit record for the following date.

The duration of dementia was estimated from the first date of treatment with the dementia diagnosis code to January 31, 2019. A duration of <1 year was given in cases where dementia medication was prescribed in 2019 but no dementia diagnosis code was provided before 2019. Charlson’s comorbidity index (CCI) to identify comorbid conditions using the weights provided by Quan et al. [42]. Although it varies slightly different from that in our study, we used the definition of dementia assumed by the CCI algorithm when calculating CCI [43]. All diseases recorded in the 2019 medical records were used to calculate the CCI, including all diseases recorded after the primary and secondary diseases for each visit, except for any ruled-out diagnoses. Considering the weight for dementia (i.e., 2) and the CCI distribution of the study population, CCI was categorized as “≤2,” “3–4,” “≥5.”

Analysis

We divided the study population into patient groups with and without dementia for the primary analysis, and evaluated the prevalence of polypharmacy and distribution of patient characteristics in each group. The chi-square test was used to assess the differences between the groups. We evaluated the distribution of patient characteristics in the polypharmacy and excessive polypharmacy groups. A chi-square test was performed to compare patients with and without polypharmacy, as well as patients with and without excessive polypharmacy. Multivariate logistic regression was conducted to identify the factors associated with polypharmacy and excessive polypharmacy. For comparison, the second and third analyses were also conducted in patients without dementia; however, considering the difficulty in defining the duration of dementia in these patients, the analyses excluded this variable, and again, for comparison, the third analysis was also conducted excluding this variable in patients with dementia. Multicollinearity between covariates in each model was assessed using the generalized variance inflation factor calculated using the car package [44] in R software version 4.3.0 (The R Foundation, Vienna, Austria).

To better understand polypharmacy patients with dementia, we performed additional analyses on the distribution of some related comorbidities and the associated medication composition. The additional comorbidities were hypertension, depression, and mental health-related diseases other than dementia, based on definition in previous studies [45] and the available data. Regarding medication composition, we investigated the prevalence of dementia medications and medications associated with BPSD. Medications were identified based on the ATC code; the ATC codes of medications related to BPSD were based on previous studies [46, 47]. The medications investigated were as follows: N06D (anti-dementia drugs), N05A (antipsychotics), N05B (anxiolytics), N05C (hypnotics and sedatives), N03A (antiepileptics), N06A (antidepressants), N02 (analgesics). We examined respectively the presence of these medications in the medication combinations of days with 5 or more concurrent medications for polypharmacy patients and 10 or more concurrent medications for excessive polypharmacy patients. All statistical analyses were performed using SAS Enterprise Guide 8.3 (SAS Institute, Cary, NC, USA), unless otherwise stated.

Results

In the NHIS-Senior cohort, 869,631 outpatients were prescribed oral medications in 2019. Among them, 1,954 patients died before March 31, 2019, thus a total of 867,677 patients were included in the final analysis. Among them, 57,346 and 810,331 were defined as patients with and without dementia, respectively (Fig 1).

Fig 1. Selection of study population.

Fig 1

The patients with and without dementia showed significant differences in several characteristics (Table 1). Specifically, the dementia group was, on average, 10 years older than the non-dementia group. Additionally, 10.0% of the dementia group fell into the 60s age range, compared to 56.6% of the non-dementia group. The proportion of individuals with disabilities in the dementia group was 27.8%, which was more than twice that in the non-dementia group (12.7%). Long-term care benefits were provided to 48.3% of patients with dementia, but only 2.5% of patients without dementia. Nearly 33.0% and 78.1% of patients with and without dementia had a CCI score ≤2, respectively. (The detailed distribution of comorbidities included in the CCI is presented in S2 Table). Polypharmacy was recorded in 70.3% and 37.4% of patients with and without dementia, respectively, whereas excessive polypharmacy was recorded in 23.7% and 6.8% of patients with and without dementia, respectively (Table 1).

Table 1. Characteristics of dementia and non-dementia groups.

Characteristic Total Dementia Non-dementia P-value*
n % n % n %
Total 867,677 (100.0) 57,346 (100.0) 810,331 (100.0)
Polypharmacy ** 0–4 524,210 (60.4) 17,028 (29.7) 507,182 (62.6) <0.0001
5–9 274,909 (31.7) 26,737 (46.6) 248,172 (30.6)
10+ 68,558 (7.9) 13,581 (23.7) 54,977 (6.8)
Sex Male 388,789 (44.8) 18,344 (32.0) 370,445 (45.7) <0.0001
Female 478,888 (55.2) 39,002 (68.0) 439,886 (54.3)
Age (mean±SD) 70.1 (7.9) 79.6 (7.0) 69.5 (7.5) <0.0001
Age range 60–64 274,239 (31.6) 2,125 (3.7) 272,114 (33.6) <0.0001
65–69 189,866 (21.9) 3,603 (6.3) 186,263 (23.0)
70–74 148,178 (17.1) 6,619 (11.5) 141,559 (17.5)
75–79 123,755 (14.3) 13,124 (22.9) 110,631 (13.7)
80–84 84,352 (9.7) 16,724 (29.2) 67,628 (8.3)
85–89 39,630 (4.6) 12,219 (21.3) 27,411 (3.4)
90–91 7,657 (0.9) 2,932 (5.1) 4,725 (0.6)
Disability Severe 30,859 (3.6) 5,286 (9.2) 25,573 (3.2) <0.0001
Mild 87,855 (10.1) 10,675 (18.6) 77,180 (9.5)
None 748,963 (86.3) 41,385 (72.2) 707,578 (87.3)
Region Seoul-Metro 385,324 (44.4) 21,743 (37.9) 363,581 (44.9) <0.0001
Chungcheong 95,723 (11.0) 7,319 (12.8) 88,404 (10.9)
Honam 101,664 (11.7) 9,493 (16.6) 92,171 (11.4)
Gyeongsang 241,936 (27.9) 15,828 (27.6) 226,108 (27.9)
Gangwon-Jeju 43,030 (5.0) 2,963 (5.2) 40,067 (4.9)
Income level Medical Aid 58,010 (6.7) 8,452 (14.7) 49,558 (6.1) <0.0001
NHI 1st 141,169 (16.3) 8,684 (15.1) 132,485 (16.3)
NHI 2nd 97,507 (11.2) 4,419 (7.7) 93,088 (11.5)
NHI 3rd 127,012 (14.6) 6,595 (11.5) 120,417 (14.9)
NHI 4th 173,556 (20.0) 9,348 (16.3) 164,208 (20.3)
NHI 5th (richest) 270,423 (31.2) 19,848 (34.6) 250,575 (30.9)
Type of long-term care benefits Institutional care 10,923 (1.3) 8,681 (15.1) 2,242 (0.3) <0.0001
Home care 36,716 (4.2) 19,036 (33.2) 17,680 (2.2)
None 820,038 (94.5) 29,629 (51.7) 790,409 (97.5)
Duration of dementia (years) <1 24,014 (41.9)
1–3 11,273 (19.7)
3–10 19,041 (33.2)
≥10 3,018 (5.3)
CCI ≤2 651,670 (75.1) 18,898 (33.0) 632,772 (78.1) <0.0001
3–4 152,305 (17.6) 20,579 (35.9) 131,726 (16.3)
≥5 63,702 (7.3) 17,869 (31.2) 45,833 (5.7)

*Chi-square or t-test of differences between dementia and non-dementia groups

**Number of concurrently prescribed medications over 90 d

SD: standard deviation, NHI: National Health Insurance, CCI: Charlson comorbidity index

There was no significant difference in the distribution of sexes between patients with and without polypharmacy among dementia group (Table 2). However, the proportion of males was significantly higher in patients with excessive polypharmacy than in those without excessive polypharmacy (34.0% compared to 31.4%). Mild disability was observed among 23.0% of patients with excessive polypharmacy, which was significantly higher than that among patients without excessive polypharmacy (17.3%). Medical Aid beneficiaries were 20.8% of patients with excessive polypharmacy (compared to 12.9% of patients without excessive polypharmacy) and 15.8% of patients with polypharmacy (compared to 12.2% of patients without polypharmacy). In terms of long-term care benefits, home care benefits were provided to 36.5% and 32.2% of patients with and without excessive polypharmacy, respectively. Patients with polypharmacy and excessive polypharmacy showed a high CCI. A CCI score≥5 was observed in 48.5% and 25.8% of patients with and without excessive polypharmacy, respectively (Table 2). The detailed distribution of comorbidities included in the CCI is shown in S3 Table. The prevalence of congestive heart failure, chronic pulmonary disease, mild liver disease, diabetes with chronic complications, and renal disease was significantly higher in patients with excessive polypharmacy than in those without.

Table 2. Characteristics of patients with dementia based on polypharmacy status.

Characteristics Dementia Polypharmacy (5+) Excessive polypharmacy (10+)
n % n % P-value* n % P-value**
Total 57,346 (100.0) 40,318 (100.0)   13,581 (100.0)  
Sex Male 18,344 (32.0) 12,829 (31.8) 0.1825 4,622 (34.0) <0.0001
Female 39,002 (68.0) 27,489 (68.2)   8,959 (66.0)  
Age 60–64 2,125 (3.7) 1,288 (3.2) <0.0001 395 (2.9) <0.0001
65–69 3,603 (6.3) 2,352 (5.8) 759 (5.6)
70–74 6,619 (11.5) 4,649 (11.5) 1,688 (12.4)
75–79 13,124 (22.9) 9,674 (24.0) 3,560 (26.2)
80–84 16,724 (29.2) 12,106 (30.0) 4,154 (30.6)
85–89 12,219 (21.3) 8,351 (20.7) 2,521 (18.6)
90–91 2,932 (5.1) 1,898 (4.7)   504 (3.7)  
Disability Severe 5,286 (9.2) 3,687 (9.1) <0.0001 1,327 (9.8) <0.0001
Mild 10,675 (18.6) 8,008 (19.9) 3,122 (23.0)
None 41,385 (72.2) 28,623 (71.0)   9,132 (67.2)  
Region Seoul-Metro 21,743 (37.9) 15,469 (38.4) 0.0180 4,966 (36.6) <0.0001
Chungcheong 7,319 (12.8) 5,101 (12.7) 1,658 (12.2)
Honam 9,493 (16.6) 6,638 (16.5) 2,556 (18.8)
Gyeongsang 15,828 (27.6) 11,040 (27.4) 3,740 (27.5)
Gangwon-Jeju 2,963 (5.2) 2,070 (5.1)   661 (4.9)  
Income level Medical Aid 8,452 (14.7) 6,369 (15.8) <0.0001 2,824 (20.8) <0.0001
NHI 1st 8,684 (15.1) 5,971 (14.8) 1,950 (14.4)
NHI 2nd 4,419 (7.7) 2,976 (7.4) 943 (6.9)
NHI 3rd 6,595 (11.5) 4,540 (11.3) 1,434 (10.6)
NHI 4th 9,348 (16.3) 6,517 (16.2) 2,068 (15.2)
NHI 5th (richest) 19,848 (34.6) 13,945 (34.6)   4,362 (32.1)  
Type of long-term care benefits Institutional care 8,681 (15.1) 6,427 (15.9) <0.0001 1,950 (14.4) <0.0001
Home care 19,036 (33.2) 13,877 (34.4) 4,960 (36.5)
None 29,629 (51.7) 20,014 (49.6)   6,671 (49.1)  
Duration of dementia (years) <1 24,014 (41.9) 16,313 (40.5) <0.0001 5,388 (39.7) <0.0001
1–3 11,273 (19.7) 8,053 (20.0) 2,758 (20.3)
3–10 19,041 (33.2) 13,744 (34.1) 4,675 (34.4)
≥10 3,018 (5.3) 2,208 (5.5)   760 (5.6)  
CCI ≤2 18,898 (33.0) 10,984 (27.2) <0.0001 2,085 (15.4) <0.0001
3–4 20,579 (35.9) 15,021 (37.3) 4,903 (36.1)
≥5 17,869 (31.2) 14,313 (35.5)   6,593 (48.5)  

*Chi-square test of differences between patients with and without polypharmacy (5+)

**Chi-square test of differences between patients with and without excessive polypharmacy (10+)

NHI: National Health Insurance; CCI: Charlson comorbidity index

In patients without dementia, we observed higher mild disability, Medical Aid, home care, and CCI scores in patients with polypharmacy and excessive polypharmacy than those without, consistent with the findings for patients with dementia (S4 Table). Based on the CCI, higher comorbidity rates were observed in patients with polypharmacy and excessive polypharmacy than in those without (S5 Table).

The regression analysis showed that the likelihood of experiencing polypharmacy in patients with dementia increased significantly with age up to 70 (p<0.05), whereas it decreased at ages above 80. Those with mild disability were significantly more likely to experience polypharmacy than those without disabilities. Conversely, patients with severe disability had a significantly lower likelihood of experiencing polypharmacy. Compared to patients in the fifth NHI income quintile, Medical Aid beneficiaries with dementia were significantly more likely to experience polypharmacy [odds ratio (OR), 1.206; 95% confidence interval (CI), 1.135–1.281) and excessive polypharmacy (OR, 1.688; 95% CI, 1.590–1.792). Compared to patients who did not receive long-term care benefits, those who received home care had a significantly higher likelihood of polypharmacy and excessive polypharmacy, while those who received institutional care only had a significantly higher likelihood of experiencing polypharmacy. We found that the likelihood of experiencing polypharmacy and excessive polypharmacy increased with dementia duration and CCI score (Table 3).

Table 3. Factors associated with polypharmacy among patients with dementia (n = 57,346).

Variable Polypharmacy (5+) Excessive polypharmacy (10+)
OR 95% CI P-value OR 95% CI P-value
Sex Male (ref.)            
Female 1.052 1.010–1.095 0.0143 0.937 0.897–0.979 0.0034
Age 60–64 (ref.)
65–69 1.189 1.061–1.332 0.0030 1.180 1.026–1.358 0.0208
70–74 1.458 1.312–1.619 <0.0001 1.519 1.337–1.726 <0.0001
75–79 1.690 1.530–1.866 <0.0001 1.661 1.470–1.875 <0.0001
80–84 1.543 1.399–1.703 <0.0001 1.483 1.313–1.674 <0.0001
85–89 1.216 1.099–1.345 0.0001 1.152 1.016–1.306 0.0269
90–91 1.002 0.887–1.132 0.9724 0.920 0.789–1.072 0.2851
Disability Severe 0.858 0.803–0.916 <0.0001 0.959 0.893–1.030 0.2479
Mild 1.245 1.184–1.309 <0.0001 1.316 1.252–1.383 <0.0001
None (ref)            
Region Seoul-Metro (ref)
Chungcheong 0.909 0.856–0.964 0.0016 0.966 0.905–1.032 0.3045
Honam 0.884 0.837–0.933 <0.0001 1.145 1.081–1.213 <0.0001
Gyeongsang 0.937 0.895–0.982 0.0060 1.038 0.987–1.092 0.1512
Gangwon-Jeju 0.911 0.835–0.993 0.0332 0.928 0.844–1.022 0.1285
Income level Medical Aid 1.206 1.135–1.281 <0.0001 1.688 1.590–1.792 <0.0001
NHI 1st 0.934 0.882–0.988 0.0172 1.079 1.012–1.149 0.0191
NHI 2nd 0.901 0.838–0.968 0.0044 1.015 0.935–1.103 0.7163
NHI 3rd 0.953 0.896–1.014 0.1292 1.018 0.949–1.091 0.6229
NHI 4th 0.998 0.944–1.055 0.9471 1.033 0.972–1.099 0.2972
NHI 5th (richest, ref.)            
Type of long-term care benefits Institutional care 1.366 1.287–1.451 <0.0001 0.986 0.924–1.051 0.6588
Home care 1.266 1.212–1.323 <0.0001 1.193 1.139–1.250 <0.0001
None (ref.)            
Duration of dementia (years) <1 (ref.)            
1–3 1.187 1.128–1.249 <0.0001 1.194 1.130–1.262 <0.0001
3–10 1.216 1.163–1.272 <0.0001 1.208 1.151–1.268 <0.0001
≥10 1.263 1.156–1.380 <0.0001 1.270 1.157–1.393 <0.0001
CCI ≤2 (ref.)
3–4 1.960 1.878–2.046 <0.0001 2.477 2.341–2.620 <0.0001
≥5 2.910 2.775–3.052 <0.0001 4.524 4.280–4.782 <0.0001

Ref.: reference

NHI: National Health Insurance, CCI: Charlson comorbidity index

Excluding the duration of dementia, the direction of influence of age, disability, Medical Aid beneficiaries, and CCI on polypharmacy and excessive polypharmacy and excessive polypharmacy was similar between patients with and without dementia, but the magnitude of the influence was greater in patients without dementia. In contrast, patients without dementia but with severe disabilities were significantly more likely to have polypharmacy and excessive polypharmacy than those without disabilities. The likelihood of excessive polypharmacy was significantly higher in the lower NHI income groups among patients without dementia (S6 Table).

Regarding the related comorbidities, patients with dementia had a relatively higher prevalence of depression and mental health-related diseases than patients without dementia, and even among patients with dementia, the patients with polypharmacy and excessive polypharmacy had a relatively higher proportion of these comorbidities (S2, S3 and S5 Tables). Regarding medication composition, the proportion of antipsychotics and antidepressants was relatively high in patients with dementia than in those without (S7 Table).

Discussion

This study examined the polypharmacy status of patients with dementia who were prescribed oral medications during outpatient treatment in 2019 and identified the associated factors using the NHIS-Senior cohort database, comprising representative data from a public single-payer in South Korea. The main findings of this study are as follows.

First, elderly patients with dementia experienced polypharmacy more than those without dementia. In patients without dementia, the proportions experiencing polypharmacy and excessive polypharmacy were 37.4% and 6.8%, respectively, while they were as high as 70.3% and 23.7%, respectively, in patients with dementia. In 2019, South Korea had a polypharmacy rate (the proportion of patients chronically prescribed five or more medications) of 70.2% for patients aged≥75 years, which was the third highest rate among OECD countries (46.7% average from 16 countries) [48]. According to a previous study that examined polypharmacy in Korean outpatients aged≥65 years using NHI claims data from 2010 to 2011, 86.4% of patients simultaneously used six or more medication, while 44.9% simultaneously used 11 or more medications [49]. Another study found that 41.8% and 14.4% of outpatients aged≥65 years were prescribed five or more and ten and more medications, respectively, for more than 90 days in 2019 [50]. These studies confirm the high prevalence of polypharmacy in the Korean elderly population. However, the present study is the first to report polypharmacy prevalence in Korean patients with dementia. Although absolute comparisons should be made with caution due to substantial age differences between patients with and without dementia, our findings indicate a higher prevalence of polypharmacy and excessive polypharmacy in patients with dementia patients. Because patients with dementia-related cognitive decline and memory loss may have more difficulty in identifying the side effects of medications compared to patients without dementia [19, 20], and polypharmacy may exacerbate the symptoms or be a risk factor for dementia [45, 51, 52], it is crucial that closer attention be paid to the risk of polypharmacy in the clinical treatment of patients dementia, in both the theoretical and practical spheres.

Second, the likelihood of polypharmacy and excessive polypharmacy increased as the duration of dementia increased even after controlling for age and CCI, which was not reported in previous studies. This suggests that more medications were prescribed for treating the behavioral and psychological symptoms of dementia the duration of dementia increased. This possibility is supported by the higher proportion of antipsychotics and antidepressants in the medication composition of polypharmacy in patients with dementia (S7 Table). The efficacy of cholinesterase inhibitors (ChEIs), a major dementia medication, is likely to diminish over time, though the long-term effects are unclear. Notable, the side effects of ChEIs increase dose-dependently, leading to increased risk of adverse drug reactions in elderly patients with moderate to severe dementia [53]. Prescription of only of memantine, a dementia medication with a different mechanism to ChEIs, has been proposed to balance treatment side effects and benefits in moderate to severe dementia [53]. Consequently, there is little support for increasing the number of medications as the duration of dementia increases. Moreover, although dementia symptoms, such as BPSD [54] may worsen as the duration of dementia increases, the suitability of long-term antipsychotic use in patients with dementia remains unclear [55]. Therefore, closer attention should be paid to the current and future composition of medications prescribed for elderly patients with dementia, especially given the vulnerability of this population.

Third, the likelihood of polypharmacy and excessive polypharmacy was especially high among Medical Aid beneficiaries, the lowest-income group, consistent with previous findings on elderly patients in South Korea [49, 56]. While previous studies compared NHI with Medical Aid beneficiaries, we further divided the NHI population into income quintiles but found no difference in the likelihood of polypharmacy and excessive polypharmacy between income quintiles in patients with dementia. The significantly higher likelihood of polypharmacy and excessive polypharmacy in Medical Aid compared to NHI beneficiaries may be due to differences in benefit systems or health status rather than solely income disparities. Because Medical Aid beneficiaries have low out-of-pocket healthcare costs, they may be able to use medical care and receive prescriptions for mediations more easily, thereby increasing the possibility of polypharmacy. Considering that Medical Aid beneficiaries may exhibit worse health conditions, e.g., more comorbidities than the NHI population [56], greater attention should be paid to polypharmacy in this population. Despite recent efforts in managing the duplication of medication [56] and the fact that polypharmacy may be easier to manage among Medical Aid beneficiaries as they are required to use comparatively more limited medical institutions than NHI population, current policies have failed to address polypharmacy. Hence, new national policies are urgently needed to improve the management of polypharmacy in Medical Aid beneficiaries.

Fourth, both patients with and without dementia had a high likelihood of polypharmacy when receiving long-term care benefits. Compared to patients not receiving long-term care benefits, the likelihood of polypharmacy and excessive polypharmacy was significantly higher in patients receiving home care, and the likelihood of polypharmacy was significantly higher in patients receiving institutional care. Raising awareness of polypharmacy by educating long-term care providers about the potential risks could contribute to quickly recognizing and responding to the risks that may arise due to polypharmacy.

Finally, our comparison of patients with and without dementia elucidated the characteristics of polypharmacy in this cohort along with important factors that affect its prevalence in patients with dementia. Since age, disability, Medical Aid beneficiaries, and CCI had greater effects on polypharmacy in patients without dementia (S6 Table), dementia itself may be a risk factor for polypharmacy. The higher risk for polypharmacy in patients with dementia compared to those without is consistent with findings from the United Kingdom (patients aged ≥65 years registered at general practices) [8] and United States (outpatients aged ≥65 years) [21], though the cohorts in these studies had different demographic profiles and healthcare systems. Additionally, the different directions with which patient characteristics affected polypharmacy, such as excessive polypharmacy increasing with decreasing income quintiles and the presence of severe disabilities among patients without dementia, suggests that some factors may have qualitatively different effects in patients with and without dementia. This in turn suggests that differentiated approaches may be required to treat these two populations.

This study has some limitations. First, the use of a specific numeric threshold to define polypharmacy may not always be applicable, and some cases require the simultaneous use of several medications. Hence, studies on polypharmacy may benefit from distinguishing appropriate and inappropriate polypharmacy [13], which was not taken into account in this study. However, there is no clear standard for distinguishing appropriate from inappropriate polypharmacy, and given the insufficient fundamental research on the status of polypharmacy among patients with dementia in South Korea and its factors, it can be seen that research on this should be preceded. To the best of our knowledge, this study provides the first insights into the status and associated factors of polypharmacy among patients with dementia in Korea. Although many previous studies focused solely on the number of medications taken simultaneously [13], this study also considered the treatment duration (in days) which may be more appropriate for capturing clinically relevant cases. Second, polypharmacy may have been underestimated since the NHIS-Senior cohort dataset does not capture the use of over-the-counter medications and those not covered by the NHI, which neglects various potential drug interactions and adverse reactions. Nevertheless, our comparison of patients with and without dementia under the same definition of polypharmacy allowed for robust statistical analysis. Third, although we confirmed that patients with a longer duration of dementia and Medical Aid beneficiaries are more prone to polypharmacy, even when controlling for age and CCI, we did not specifically identify the key medications or clinical treatments. Fourth, the data source used in this study was sampled to represent 60–80-year-old population in 2008. Although a new sample of the population turning 60-year-old was added every year until 2019, our cohort may not strictly represent the elderly in Korea as of 2019. However, to include elderly of over 80 years and analyze the most recent situation, we analyzed data from 2019. Even though we attempted to include the maximum possible age within the data, the oldest individual in 2019 was 91; therefore, our study findings do not represent elderly individuals aged≥92 years. This along with the fact that we only considered Korean patients, limits the generalization of our results. Fifth, we did not include the results of the non-dementia group in the main table while analyzing the factors associated with polypharmacy. A comprehensive comparison could further elucidate the risk factors for polypharmacy in patients with dementia. However, considering that dementia duration, only applied to patients with dementia, we chose to present the results for patients with and without dementia separately.

Despite these limitations, we used the same framework for study polypharmacy in patients with and without dementia. Our comparison between patients with and without dementia suggested that polypharmacy should be approached differently between these patient populations, barring further qualitative research on the individual appropriateness of polypharmacy. Further research is also needed on the long-term consequences of polypharmacy in dementia patients.

Conclusions

With the increasing global incidence of dementia, greater attention should be paid to polypharmacy among affected patients from both clinical and economic perspectives. However, studies on polypharmacy in patients with dementia have been insufficient. To address this gap in knowledge, we examined the polypharmacy status and its associated factors in dementia in the NHIS-Senior cohort based on the NHI claims data in South Korea. Our findings emphasize the need for closer scrutiny in the simultaneous prescription of dementia and related medications, and provide fundamental evidence in this regard.

Supporting information

S1 Table. Codes used to define patients with dementia.

(DOCX)

pone.0302300.s001.docx (16.9KB, docx)
S2 Table. Distribution of comorbidities among study population.

(DOCX)

pone.0302300.s002.docx (18.8KB, docx)
S3 Table. Distribution of comorbidities among patients with dementia based on polypharmacy status.

(DOCX)

pone.0302300.s003.docx (19.5KB, docx)
S4 Table. Characteristics of patients without dementia based on polypharmacy status.

(DOCX)

pone.0302300.s004.docx (20.9KB, docx)
S5 Table. Distribution of comorbidities among patients without dementia based on polypharmacy status.

(DOCX)

pone.0302300.s005.docx (19.6KB, docx)
S6 Table. Factors associated with polypharmacy: Comparison between patients with and without dementia.

(DOCX)

pone.0302300.s006.docx (22.1KB, docx)
S7 Table. Distribution of medications included in polypharmacy.

(DOCX)

pone.0302300.s007.docx (16.9KB, docx)

Acknowledgments

This study used NHIS-Senior data (NHIS-2022-2-352) provided by the National Health Insurance Service (NHIS) of South Korea.

Data Availability

This study used the NHIS-Senior cohort database curated by the National Health Insurance Service (NHIS) of Korea. This data cannot be shared publicly due to NHIS regulations. We obtained approval for use of the data after review by the Institutional Review Board of the affiliated institution and a separate review by the NHIS, and paid an access fee. We were able to access the data for the approved period through the remote service operated by the NHIS. Those who are eligible for use of the National Health Information Data, as stipulated by the NHIS, can access the NHIS-Senior cohort database following the same procedure mentioned here. Applications can be made with the National Health Insurance Sharing Service (https://nhiss.nhis.or.kr/bd/ab/bdaba021eng.do).

Funding Statement

HJL and HLK was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) (grant No.2021R1F1A1062230). The funders have played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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PONE-D-23-24901Polypharmacy patterns and associated factors in South Korean elderly patients with dementia: An analysis using National Health Insurance claims dataPLOS ONE

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3. PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field. This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: " ext-link-type="uri" xlink:type="simple">https://www.youtube.com/watch?v=_xcclfuvtxQ".

4. We are unable to open your Supporting Information file [Figure 1.pptx]. Please kindly revise as necessary and re-upload.

Additional Editor Comments:

- The use of the term "polypharmacy patterns" is not tally with the results and discussion. No results were reported about the types of medications or dosing regimens. Therefore, please remove the word patterns and stick to "polypharmacy" throughout the manuscript.

- L150: to stay consistent, please report the percentages for polypharmacy instead of non-polypharmacy.

- Do not repeat the results in the text and tables. Just highlight the important findings in the text or findings not stated in the tables.

- Table 1: Add a comparison of the mean age between the two groups.

- Include the number of patients in the table captions.

- Make the abstract structured with conclusion.

- English language proofreading is needed.

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

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I thank the author for this interesting work about polypharmacy and dementia. This work is relevant as it found consistent result with literature with over-prescription in patients suffering from dementia. A major strength of this study is that it was performed on a large sample of a national cohort. However, a better explanation of the method used, and an update of the organization of the results and discussion can improve this study quality and it's understanding.

Major comments:

1. The goal announced is “to discern patterns and associated factors of polypharmacy among outpatient suffering from dementia “. Results and discussion sections show first a comparison between dementia vs non-dementia patients then polypharmacy vs non-polypharmacy in patients suffering from dementia. Both groups can be compared to achieve the announced goal, but they answer different questions. Thus, the author should either improve the formulation of the goal/question and reorganize the methods, results, and discussion sections accordingly.

2. In line with the previous comment, the limit discussed l. 274 might be the most significant. Yet, it is discussed as the last one and the justification provided is not satisfactory. It would be possible either to attribute the value 0 for “Duration of dementia” to negate the variable for non-demented patients or to treat missing values for this variable as a level (if there are no missing values in the dementia patients’ group).

Minor comments

1. The manuscript should be reviewed by an English native speaker to improve its general understanding and quality.

2. The author should specify the ethic committee and its decision date and decision reference

3. The author used the codes F00, F01, F02, F03, G30 and G31.82, which refer mainly to Alzheimer’s disease However, these codes do not include cognitive disorder or impairment, which is a major selection bias. Is it possible for the author to include those missing patients? If not, could they provide justification and/or specify in the method section that these patients were not included?

4. The author defined disability using the disability grades used in South Korea. Can they provide how these grades are assessed?

5. Can the author precise the ranking of the quantiles used for the income level? It is only precise in the results section but a phrase such as (“the fifth quantile represents the highest income”) could be added in the method section.

6. In the table 1, the term Institutional care was used whereas “facility service” is used in the method. The authors should stay consistent.

7. Missing values assessment, analysis and consideration should be provided in the method section.

8. Can the author precise how the CCI variable was dichotomized? The result section shows 3 categories, but it was not specified why/how these cut-offs were chosen.

9. The models used may include redundant variables (CCI and dementia, disability, and dwelling accommodation, …). Have the authors assessed multicollinearity? If so, can they specify it in the method section?

10. The authors should provide in supplementary material comorbidities’ details (overall and groups/sub-groups)

11. In the discussion, the authors assumed that the difference of polypharmacy in dementia patients may be because of the prescription of BPSD controlling drugs. As the author have access to prescriptions records, it will strengthen authors’ conclusion if drug classes comparison was provided.

12. In the discussion, the authors discussed the issue of income when comparing Medical Aid vs NHI population. However, the analysis showed an OR 1 for NIH 1 to 3 compared when compared to NIH 5. Could this author add a section to discuss this result as well?

13. This author should give practical implication of their findings.

Reviewer #2: The article you've presented appears to be a comprehensive and methodologically sound study focusing on polypharmacy among elderly patients with dementia in South Korea. Here are some reviewer comments that could be helpful:

Strengths:

Relevance and Timeliness: The topic of polypharmacy in dementia patients is both timely and relevant, especially considering the aging population and the increase in dementia cases globally.

Data Source and Population: The use of the National Health Insurance Service-Senior cohort database provides a robust and representative sample for this type of research.

Methodological Rigor: The study's methodology, including the definition of polypharmacy and excessive polypharmacy, patient categorization, and statistical analysis, seems thorough and well-justified.

Policy Implications: The findings of this study have significant implications for healthcare policy and practice, particularly in countries with rapidly aging populations.

Areas for Improvement:

Clarity in Introduction: The introduction could benefit from a clearer articulation of the research gap. While it mentions the scarcity of studies in this area, a more explicit statement of what specifically this study adds would be helpful.

Broader Contextualization: The discussion could explore how these findings relate to or differ from studies in other countries, especially those with different healthcare systems or demographic profiles.

Addressing Limitations: While some limitations are implicit (such as the study's focus on South Korea), it would be beneficial for the authors to explicitly state these limitations and discuss how they might affect the generalizability of the findings.

Potential Biases: Any potential biases in the data source or methodology should be acknowledged and discussed, such as selection bias in the cohort or limitations in the diagnostic codes used.

Implications for Future Research: The article could offer more detailed suggestions for future research, such as exploring interventions to reduce polypharmacy risks or examining the impact of polypharmacy on specific outcomes in dementia patients.

Editorial Suggestions:

Abstract Structure: The abstract could be structured more clearly with distinct sections for background, methods, results, and conclusions to enhance readability.

Consistency in Terminology: Ensure consistency in the use of terms and definitions throughout the paper.

References: Check for the latest references, especially if there have been significant developments in the field since the original literature review was conducted.

Overall, the article contributes valuable insights into an under-researched area and has the potential to inform clinical practices and policy decisions in the care of dementia patients.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Edouard Baudouin

Reviewer #2: Yes: Ali Haider Mohammed

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Apr 25;19(4):e0302300. doi: 10.1371/journal.pone.0302300.r002

Author response to Decision Letter 0


24 Feb 2024

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Response to Comments regarding Journal Requirements

● Comment 1.

When submitting your revision, we need you to address these additional requirements.

Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Thank you for your guidance. We revised the text to meet the style requirements of PLOS ONE, as indicated in the template link provided. To avoid confusing the reviewers with the numerous tracked changes associated with content and style changes, the formatting changes were made with Track Changes Off. Formatting was performed according to the templates provided by PLOS ONE. Regarding the reference citation format, parentheses were changed to square brackets, but these changes were not separately indicated due to the use of bibliographic software.

● Comment 2.

In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. […] If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data.

There are legal restrictions on publicly sharing the data used in this study. Therefore, referring to the guide provided, we supplemented the data availability statement as follows, focusing on the reasons why the data cannot be shared and how other researchers can access the data.

Revised Data Availability statement:

“Data availability: This study used the NHIS-Senior cohort database curated by the National Health Insurance Service (NHIS) of Korea. This data cannot be shared publicly due to NHIS regulations. We obtained approval for use of the data after review by the Institutional Review Board of the affiliated institution and a separate review by the NHIS, and paid an access fee. We were able to access the data for the approved period through the remote service operated by the NHIS. Those who are eligible for use of the National Health Information Data, as stipulated by the NHIS, can access the NHIS-Senior cohort database following the same procedure mentioned here. Applications can be made with the National Health Insurance Sharing Service (https://nhiss.nhis.or.kr/bd/ab/bdaba021eng.do).”

● Comment 3.

PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager.

Thank you for this guidance. We have resolved the issue of linking the ORCID of the corresponding author (Hye-Jae Lee, 0000-0002-1010-4925) with the Editorial Office's assistance. It has been confirmed that the ORCID is properly linked with the submission ID (hjlee1) in Editorial Manager.

● Comment 4.

We are unable to open your Supporting Information file [Figure 1.pptx]. Please kindly revise as necessary and re-upload.

We apologize for the inconvenience. We saved and reuploaded Figure 1 in TIFF format.

----------------------------------------------------------------------------

Response to Comments from the Editor

● Comment 1.

The use of the term “polypharmacy patterns” is not tally with the results and discussion. No results were reported about the types of medications or dosing regimens. Therefore, please remove the word patterns and stick to “polypharmacy” throughout the manuscript.

Thank you for your reasonable comment. As suggested, we revised the text to avoid the expression “polypharmacy patterns” and used the expression “polypharmacy” throughout the text. The title was also revised to delete the word “patterns.”

Revised title:

“Polypharmacy and associated factors in South Korean elderly patients with dementia: An analysis using National Health Insurance claims data”

Revised text on page 2, line 22 – 23:

“This study aimed to characterize polypharmacy and associated factors among elderly patients with dementia in South Korea…”

Revised text on page 2, line 29 – 30:

“We compared the prevalence of polypharmacy between patients with and without dementia and identified the associated factors using a logistic regression model.”

Revised text on page 4 – 5, line 67 – 69:

“Previous research has primarily focused on nursing home settings or potentially inappropriate medications, while studies on polypharmacy and associated factors in outpatient patients with dementia are relatively scarce.”

Revised text on page 4, line 78 – 81:

“The study of polypharmacy in patients with dementia could provide valuable information not only for clinical practitioners and policy makers in Korea, where the population is aging rapidly, but also in other countries with slower population aging rates.”

Revised text on page 4, line 85 – 88:

“To bridging this gap in knowledge, we aimed to determine the status and associated factors of polypharmacy among outpatients with dementia in 2019, using data sourced from the National Health Insurance Service (NHIS)-Senior cohort database.”

Revised text on page 16, line 268 – 271:

“This study examined the polypharmacy status of patients with dementia who were prescribed oral medications during outpatient treatment in 2019 and identified the associated factors using the NHIS-Senior cohort database, comprising representative data from a public single-payer in South Korea.”

● Comment 2.

L150: to stay consistent, please report the percentages for polypharmacy instead of non-polypharmacy.

The sentence was revised as follows, with additional information provided for clarity.

Revised text on page 10, line 207 – 209:

“Polypharmacy was recorded in 70.3% and 37.4% of patients with and without dementia, respectively, whereas excessive polypharmacy was recorded in 23.7% and 6.8% of patients with and without dementia, respectively (Table 1).”

● Comment 3.

Do not repeat the results in the text and tables. Just highlight the important findings in the text or findings not stated in the tables.

We agree that the original text may have repeated some results from the tables, and have revised the descriptions of the tables to focus on important findings not stated in the tables.

Revised text on page 10, line 199 – 209:

“The patients with and without dementia showed significant differences in several characteristics (Table 1). Specifically, the dementia group was, on average, 10 years older than the non-dementia group. Additionally, 10.0% of the dementia group fell into the 60s age range, compared to 56.6% of the non-dementia group. The proportion of individuals with disabilities in the dementia group was 27.8%, which was more than twice that in the non-dementia group (12.7%). Long-term care benefits were provided to 48.3% of patients with dementia, but only 2.5% of patients without dementia. Nearly 33.0% and 78.1% of patients with and without dementia had a CCI score ≤2, respectively. (The detailed distribution of comorbidities included in the CCI is presented in S2 Table.) Polypharmacy was recorded in 70.3% and 37.4% of patients with and without dementia, respectively, whereas excessive polypharmacy was recorded in 23.7% and 6.8% of patients with and without dementia, respectively (Table 1).”

Revised text on page 11, line 214 – 225:

“There was no significant difference in the distribution of sexes between patients with and without polypharmacy among dementia group (Table 2). However, the proportion of males was significantly higher in patients with excessive polypharmacy than in those without excessive polypharmacy (34.0% compared to 31.4%). Mild disability was observed among 23.0% of patients with excessive polypharmacy, which was significantly higher than that among patients without excessive polypharmacy (17.3%). Medical Aid beneficiaries were 20.8% of patients with excessive polypharmacy (compared to 12.9% of patients without excessive polypharmacy) and 15.8% of patients with polypharmacy (compared to 12.2% of patients without polypharmacy). In terms of long-term care benefits, home care benefits were provided to 36.5% and 32.2% of patients with and without excessive polypharmacy, respectively. Patients with polypharmacy and excessive polypharmacy showed a high CCI. A CCI score≥5 was observed in 48.5% and 25.8% of patients with and without excessive polypharmacy, respectively (Table 2).”

Revised text on page 14, line 238 – 249:

“The regression analysis showed that the likelihood of experiencing polypharmacy in patients with dementia increased significantly with age up to 70 (p0.05), whereas it decreased at ages above 80. Those with mild disability were significantly more likely to experience polypharmacy than those without disabilities. Conversely, patients with severe disability had a significantly lower likelihood of experiencing polypharmacy. Compared to patients in the fifth NHI income quintile, Medical Aid beneficiaries with dementia were significantly more likely to experience polypharmacy [odds ratio (OR), 1.206; 95% confidence interval (CI), 1.135–1.281) and excessive polypharmacy (OR, 1.688; 95% CI, 1.590–1.792). Compared to patients who did not receive long-term care benefits, those who received home care had a significantly higher likelihood of polypharmacy and excessive polypharmacy, while those who received institutional care only had a significantly higher likelihood of experiencing polypharmacy. We found that the likelihood of experiencing polypharmacy and excessive polypharmacy increased with dementia duration and CCI score (Table 3).”

● Comment 4.

Table 1: Add a comparison of the mean age between the two groups.

We added the mean age to Table 1, and also added a description in the text. We considered adding the mean age to Table 2 but, because the difference in mean age was not substantial, we avoided this revision to keep the table from exceeding one page. For reference, the average age (standard deviation) of each group was 79.6 years (7.0) in the dementia group, 79.6 years (6.8) in dementia patients with polypharmacy, and 79.3 years (6.5) in dementia patients with excessive polypharmacy.

● Comment 5.

Include the number of patients in the table captions.

We added the number of patients to the caption of Table 3. We did not add it to Tables 1 and 2 because the number of patients in each group is included inside the table.

● Comment 6.

Make the abstract structured with conclusion.

We structured the abstract by adding subheadings and separated the conclusion.

Revised Abstract on page 2 – 3, line 17 – 41:

The revised abstract is not cited here.

● Comment 7.

English language proofreading is needed.

The manuscript was revised by an English language professional. We attached the certificate of English language proofreading.

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Response to the Comments from Reviewer 1

Major comments:

● Comment 1.

The goal announced is “to discern patterns and associated factors of polypharmacy among outpatient suffering from dementia”. Results and discussion sections show first a comparison between dementia vs non-dementia patients then polypharmacy vs non-polypharmacy in patients suffering from dementia. Both groups can be compared to achieve the announced goal, but they answer different questions. Thus, the author should either improve the formulation of the goal/question and reorganize the methods, results, and discussion sections accordingly.

Thank you for your important advice. The main objective of this study was to elucidate the characteristics of polypharmacy in patients with dementia. Accordingly, we compared the characteristics and prevalence of polypharmacy between patients with and without dementia to identify key factors, such as age and comorbidities. The purpose of the study was revised to clearly highlight this aspect, and the Methods, Results, and Discussion sections were supplemented for clarity.

Revised text on page 5, line 85 – 89:

“To bridging this gap in knowledge, we aimed to determine the status and associated factors of polypharmacy among outpatients with dementia in 2019, using data sourced from the National Health Insurance Service (NHIS)-Senior cohort database. To elucidate the characteristics, prevalence, and risk factors of polypharmacy in dementia, we compared the data between patients with and without dementia.”

Revised text on page 8, line 171 – 174:

“For comparison, the second and third analyses were also conducted in patients without dementia; however, considering the difficulty in defining the duration of dementia in these patients, the analyses excluded this variable, and again, for comparison, the third analysis was also conducted excluding this variable in patients with dementia.”

Revised text on page 14, line 233 – 235:

“In patients without dementia, we observed higher mild disability, Medical Aid, home care, and CCI scores in patients with polypharmacy and excessive polypharmacy than those without, consistent with the findings for patients with dementia (S4 Table).”

Revised text on page 15, line 253 – 259:

“Excluding the duration of dementia, the direction of influence of age, disability, Medical Aid beneficiaries, and CCI on polypharmacy and excessive polypharmacy and excessive polypharmacy was similar between patients with and without dementia, but the magnitude of the influence was greater in patients without dementia. In contrast, patients without dementia but with severe disabilities were significantly more likely to have polypharmacy and excessive polypharmacy than those without disabilities. The likelihood of excessive polypharmacy was significantly higher in the lower NHI income groups among patients without dementia (S6 Table).”

Revised text on page 18, line 332 – 344:

“Finally, our comparison of patients with and without dementia elucidated the characteristics of polypharmacy in this cohort along with important factors that affect its prevalence in patients with dementia. Since age, disability, Medical Aid beneficiaries, and CCI had greater effects on polypharmacy in patients without dementia (S6 Table), dementia itself may be a risk factor for polypharmacy. The higher risk for polypharmacy in patients with dementia compared to those without is consistent with findings from the United Kingdom (patients aged ≥65 years registered at general practices) [8] and United States (outpatients aged ≥65 years) [21], though the cohorts in these studies had different demographic profiles and healthcare systems. Additionally, the different directions with which patient characteristics affected polypharmacy, such as excessive polypharmacy increasing with decreasing income quintiles and the presence of severe disabilities among patients without dementia, suggests that some factors may have qualitatively different effects in patients with and without dementia. This in turn suggests that differentiated approaches may be required to treat these two populations.”

● Comment 2.

In line with the previous comment, the limit discussed l. 274 might be the most significant. Yet, it is discussed as the last one and the justification provided is not satisfactory. It would be possible either to attribute the value 0 for “Duration of dementia” to negate the variable for non-demented patients or to treat missing values for this variable as a level (if there are no missing values in the dementia patients’ group).

Thank you for this important advice. We added the results for the logistic regression analysis on the factors influencing polypharmacy in patients without dementia as supplementary material. Since the duration of dementia was ambiguous in these patients, the analysis was conducted without the duration of dementia; for comparison, we also presented the analysis results without this variable for patients with dementia

Attachment

Submitted filename: Response to Reviewers.docx

pone.0302300.s008.docx (59.9KB, docx)

Decision Letter 1

Muhammad Eid Akkawi

2 Apr 2024

Polypharmacy and associated factors in South Korean elderly patients with dementia: An analysis using National Health Insurance claims data

PONE-D-23-24901R1

Dear Dr. Lee,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Muhammad Eid Akkawi

Academic Editor

PLOS ONE

Additional Editor Comments:

In the future, please consider avoiding use of the term "elderly" as it may have negative connotation.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Thank you for your detailed answers and corrections. However, authors should be advised that the word "Elderly" can have a negative connation and should avoid its use in future papers

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Edouard Baudouin

**********

Associated Data

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

    Supplementary Materials

    S1 Table. Codes used to define patients with dementia.

    (DOCX)

    pone.0302300.s001.docx (16.9KB, docx)
    S2 Table. Distribution of comorbidities among study population.

    (DOCX)

    pone.0302300.s002.docx (18.8KB, docx)
    S3 Table. Distribution of comorbidities among patients with dementia based on polypharmacy status.

    (DOCX)

    pone.0302300.s003.docx (19.5KB, docx)
    S4 Table. Characteristics of patients without dementia based on polypharmacy status.

    (DOCX)

    pone.0302300.s004.docx (20.9KB, docx)
    S5 Table. Distribution of comorbidities among patients without dementia based on polypharmacy status.

    (DOCX)

    pone.0302300.s005.docx (19.6KB, docx)
    S6 Table. Factors associated with polypharmacy: Comparison between patients with and without dementia.

    (DOCX)

    pone.0302300.s006.docx (22.1KB, docx)
    S7 Table. Distribution of medications included in polypharmacy.

    (DOCX)

    pone.0302300.s007.docx (16.9KB, docx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0302300.s008.docx (59.9KB, docx)

    Data Availability Statement

    This study used the NHIS-Senior cohort database curated by the National Health Insurance Service (NHIS) of Korea. This data cannot be shared publicly due to NHIS regulations. We obtained approval for use of the data after review by the Institutional Review Board of the affiliated institution and a separate review by the NHIS, and paid an access fee. We were able to access the data for the approved period through the remote service operated by the NHIS. Those who are eligible for use of the National Health Information Data, as stipulated by the NHIS, can access the NHIS-Senior cohort database following the same procedure mentioned here. Applications can be made with the National Health Insurance Sharing Service (https://nhiss.nhis.or.kr/bd/ab/bdaba021eng.do).


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