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Electronic Journal of General Medicine
2024, 21(1), em555
e-ISSN: 2516-3507
https://www.ejgm.co.uk/ Review Article OPEN ACCESS
Polypharmacy in the elderly: A bibliometric and visualization
analysis
Ghaith M Al-Taani
1
, Sayer I Al-Azzam
2
, Karem H Alzoubi
3,4
* , Waleed M Sweileh
5
, Suhaib Muflih
2
1
Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid, JORDAN
2
Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, JORDAN
3
Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, UAE
4
Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, JORDAN
5
Department of Physiology and Pharmacology/Toxicology, College of Medicine and Health Sciences, Nablus, PALESTINE
*Corresponding Author: khalzoubi@just.edu.jo
Citation: Al-Taani GM, Al-Azzam SI, Alzoubi KH, Sweileh WM, Muflih S. Polypharmacy in the elderly: A bibliometric and visualization analysis.
Electron J Gen Med. 2024;21(1):em555. https://doi.org/10.29333/ejgm/13901
ARTICLE INFO
ABSTRACT
Received: 24 Feb. 2023
Accepted: 24 Sep. 2023
Background: The incidence of polypharmacy is increasing owing to population aging and the associated presence
of multiple comorbidities. This study aimed to provide an extensive overview of the history and development of
the scientific literature on polypharmacy.
Methods: Data were gathered from the comprehensive Scopus database and assessed using various bibliometric
methods, including analyses of citations, growth patterns, and key contributors in the field.
Results: A notable upward trend in the publication rate of polypharmacy research was observed throughout the
study period (1976-2022). Journal of the American Geriatrics Society emerged as the predominant platform for
disseminating polypharmacy-related findings. Hughes CM from Queens University Belfast, the United Kingdom
(UK), emerged as the most prolific author in this field. Most articles were authored by researchers affiliated with
institutions in the United States (n=267), the UK (n=92), and Italy (n=72).
Conclusion: This study provides compelling evidence of the escalating interest in polypharmacy and momentum
in related research, highlighting the crucial publication-related aspects and indicators in this field. The findings
underline the value of bibliometric analyses as a tool for healthcare professionals. The wide dissemination,
influence, and visibility of polypharmacy research in reputable scientific journals emphasize the urgent clinical
need for addressing polypharmacy concerns and encourage further exploration in this area.
Keywords: polypharmacy, elderly individuals, bibliometric analysis, visualization analysis, research activity
INTRODUCTION
The term polypharmacywas coined to describe issues
related to excessive or increased drug use [1]. However, the
definition of polypharmacy varies across studies. Among 110
studies in which the term polypharmacy was used, 51 defined
it as the concurrent use of five or more medications. Some
researchers have used the term polypharmacy to refer to the
simultaneous administration of six or more medications [2, 3].
However, no consensus exists on how many drugs constitute
polypharmacy [4]. Potentially inappropriate medication use is
common in polypharmacy and is linked to adverse health
effects, including adverse drug reactions and preventable
hospital admissions [5-7]. World Health Organization (WHO)
predicted that approximately one-fifth of the global population
would be aged 60 years or above by 2020 [8]. Older adults are
more prone to experiencing polypharmacy, which presents a
significant public health challenge. It has been estimated that
39.0% of adults aged over 65 years in the United States (US)
take five or more medications daily [9]. A disproportionally high
rate of medication consumption is observed among elderly
individuals; for example, older adults account for less than
20.0% of the US population but over 30.0% of prescription drug
users. Evidence also suggests that elderly individuals in
European countries may exhibit a higher rate of drug
consumption than those in other nations [10]. Additionally,
approximately half of the elderly population has been
demonstrated to take one or more medications that could be
considered medically unnecessary [7].
Problems associated with polypharmacy can contribute to
increased hospitalizations and emergency department visits,
particularly when combined with multimorbidity. In the US, it
has been estimated that this issue costs two billion dollars
annually, primarily resulting from inadequate management of
patients taking multiple medications [11]. Thus, it is essential
to address polypharmacy to ensure that patients receive safe
and appropriate care. Owing to the risks associated with
polypharmacy, healthcare providers must minimize
inappropriate polypharmacy and its related adverse events.
Medical teams are suggested to screen for inappropriate
medications using tools on consensus of expert clinicians in
geriatrics like beer criteria and screening tools of older peoples
prescriptions, to address the challenge of polypharmacy. Also,
2 / 9 Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555
medical teams are suggested to use nonpharmacological
measures with established efficacy instead of medications to
address common symptoms in elderly patients [12].
Medication therapy management (MTM) services were
legislated in the US in 2004. This cognitive input from
pharmacists is intended to address medication adherence
issues and reduce inappropriate prescriptions [13].
Pharmacists conduct dictation reviews through MTM services
via face-to-face or telephone approaches to overcome
medicine-related problems (MRPs) that threaten the
achievement of therapeutic goals. These MRPs include
adherence issues, the use of ineffective drugs, adverse effects,
drug interactions, over- and under-prescriptions, and dosing
issues related to medications [14]. In addition, the association
between polypharmacy and MRPs has been confirmed [15].
Besides using screening tools for inappropriate medication
use among elderly patients, pharmacists can de-prescribe
medications during MTM reviews using an evidence-based
approach that guarantees safety and efficacy, particularly for
elderly patients aiming to discontinue potentially
inappropriate medications. However, this process is complex
and challenging for clinicians [16, 17]. Pharmacists meet with
patients, conduct an individualized assessment of medications
relative to their expected benefit and risk, and propose
interventions to carefully discontinue a medication that
appears to be no longer required [18]. MTM services have been
shown to be beneficial for elderly patients in the US [19-21].
A bibliometric analysis is used to investigate the
characteristics of research studies and other published articles
on a particular topic over a specific period. Pritchard defined
bibliometrics as the application of mathematics and
statistical methods to books and other media of
communication [22]. A bibliometric analysis has been
employed extensively to examine the connections among
characteristics of published articles, such as subject areas,
author contributions, and citations, across diverse scientific
disciplines [23]. Bibliometric methods traditionally analyze
research outputs using different publication indicators, such as
document type, journal, country, and author, to identify
current and emerging research trends [24]. Since
polypharmacy negatively affects patient outcomes, is
associated with numerous risks, and has a pronounced effect
in different settings and disease statuses [25-29], a bibliometric
analysis of research articles about polypharmacy in elderly
individuals disseminated to the scientific community via
Scopus database was conducted.
METHODS
Database
SciVerse Scopus database was used to assess the evolution
and growth of the literature on polypharmacy in older adults.
Several reasons justify the use of this database [30, 31]. First,
Scopus contains over 23,000 indexed health, social, life, and
physical science journals. Second, SciVerse is 100% inclusive of
PubMed and has more indexed journals than Web of Science.
Third, Scopus has several functions that facilitate a
bibliometric analysis. This database is biased toward
publications from English-speaking countries and English
journals [32]; however, Web of Science has a similar bias
problem, and Scopus remains the most practical choice.
Search Strategy
Keywords and strategies used in this study were selected
on basis of previously published systematic reviews on
polypharmacy in geriatric patients [33-35]. Following keywords
were used to select papers concerning older adults: old*
individuals,later life,old* person*,year* of age or older,
older adult*, older mig*, older work*, old* people,
elder*, geriatric, senior people, senior citiz*, aged
people,” “old* population*,” “nursing homes,” “older men,
older women, retiree, sixty-five year*, seventy year*,
seventy-year*, seventy-five year*, seventy-five year*,
eighty year*,eighty-year*,eighty-five year,eighty-five-
year*, ninety year*, ninety-year*, ninety-five year*,
ninety-five-year*,and hundred year*. Keywords used to
identify papers using term polypharmacy were, as follows:
polypharmacy or poly medication* or multiple
medications*, or multiple therapies*. All keywords were
entered with quotation marks to retrieve the exact phrase, and
asterisks were used for wild cards. Keywords related to
polypharmacy were used in title search, while terms related to
elderly individuals were used in title/abstract search. Search
strategy was not limited by time. All documents published up
to 31 December 2022, were included in the study. No language
restriction was imposed on the retrieved documents. Only
documents published in peer-reviewed journals were included;
therefore, books and book chapters were excluded. A flowchart
depicting the number of retrieved documents at each stage of
the search strategy is shown in Figure 1.
Validation
The search strategy was validated for the absence of false-
positive results by reviewing top-20 cited documents.
Additionally, the number of publications of the top authors was
positively correlated with the number of publications of the
same authors in Scopus profile, indicating the absence of false-
negative results. These two methods have been implemented
in previously published bibliometric studies, e.g., [36].
Data Export & Analysis
The retrieved data were exported into Microsoft Excel as
comma-separated values (CSV) files. The exported information
included annual growth, core journals, core countries, core
institutions, and the most impactful documents. The exported
data were presented as bibliometric indicators in linear graphs
and tables. The linear graphs were created using statistical
package for the social sciences (version 21).
Visualization
All data were exported as CSV files into the free online
visualization program VOSviewer [37], which was used to
create maps to assess citations, author collaborations, and
cross-country collaborations.
RESULTS
General Description of Retrieved Documents
The search strategy yielded 1,072 documents from journals
indexed in Scopus. The retrieved documents were of different
types, including research articles (n=780, 72.8%), review
articles (n=168, 15.7%), and letters (n=49, 4.6%). The list of the
document types and their corresponding frequencies and
percentages is shown in Table 1.
Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555 3 / 9
All retrieved documents had English titles; but 37 (3.5%)
had Spanish/English titles, and 30 (2.8%) had German/English
titles. Other languages encountered included Chinese, Dutch,
and Portuguese. Of all the retrieved documents, 519 (48.4%)
were published in open-access journals. The remaining were
published in non-open-access (subscription) journals. In total,
4,420 authors (mean=4.1 authors per document) participated
in publishing retrieved documents. The retrieved documents
received 33,124 citations (mean=30.9 citations per document),
with an average h-index of 88.
Evolution & Growth Trajectory of Publications & Citations
1,072 documents were published from the mid-1970s to
2022, with an average of 23.3 publications per year. The annual
growth in publications is shown in Figure 2. The growth
pattern showed two phases: the first (1974-2003) in which the
growth in publications was below 10 per year, and the second
(2004-2022) in which the growth showed a steep increase.
Core Journals
1,072 retrieved documents were disseminated across 411
different journals. Core journals are shown in Table 2.
Figure 1. PRISMA flowchart of number of retrieved documents at different stages of search strategy (Source: Authors’ own
elaboration)
Table 1. Types of documents on polypharmacy in elderly
Type of document
% (n=1,072)
Article
72.8
Review
15.7
Letter
4.6
Editorial
2.8
Note
2.2
Short survey
1.4
Conference paper
0.6
Figure 2. Annual growth of publications on polypharmacy in
elderly as retrieved from Scopus database (Source: Authors’
own elaboration)
Table 2. Core journals publishing documents on polypharmacy in elderly
Rank
Journal
Frequency
% (n=1,072)
Normalized citations
1
Journal of the American Geriatrics Society
44
4.1
55.0
2
Drugs and Aging
37
3.5
66.6
3
Clinics in Geriatric Medicine
32
3.0
34.3
4
BMC Geriatrics
30
2.8
59.0
5
Geriatrics and Gerontology International
26
2.4
26.9
6
International Journal of Environmental Research and Public Health
17
1.6
5.2
6
Journal of Geriatric Oncology
17
1.6
23.2
6
Journal of the American Medical Directors Association
17
1.6
55.0
9
Journals of Gerontology Series A Biological Sciences and Medical Sciences
16
1.5
60.9
10
Clinical Interventions in Aging
13
1.2
40.5
10
European Geriatric Medicine
13
1.2
16.6
10
PLos ONE
13
1.2
33.2
4 / 9 Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555
Table 2 shows a minimum contribution of 10 documents
each. Journal of the American Geriatrics Society (n=44) was the
most prevalent journal, accounting for approximately 4.3% of
publications in dataset. Most journals in core list covered
medicine and gerontology fields. Mapping of core journals
according to normalized citation rate (i.e., number of citations
per document) indicated that the documents published in
Drugs and Aging Journal received the highest number of
citations, followed by those in Journal of Gerontology, Series A.
Leading Authors, Countries, & Institutions
Authors from 80 countries participated in publishing the
retrieved documents. The core researchers in the field are
shown in Table 3. Each researcher in the core list contributed
to a minimum of 10 documents. Core authors were from
Europe, Australia, and the US.
Mapping of scientific networking between authors with a
minimum contribution of five documents (n=65) yielded 15
clusters; two clusters each included over 10 researchers,
represented in red and green (Figure 3). Red cluster included
researchers mainly from Italy and Spain, while green cluster
included those from the United Kingdom (UK) and Ireland.
The core countries that contributed at least 10 publications
are shown in Table 4. The US (n=267, 24.9%) was the leader in
this field. The volume of publications from the US was nearly
three times that of those from the UK (n=92, 8.6%) and over 10
times that of those from China (n=30, 2.8%). The core list did
not include any country from Africa, the Eastern Mediterranean
region, Latin America, or Eastern Europe. The cross-country
collaborations among the countries in the core list are shown
in Figure 4. The most robust cross-country collaboration, as
measured using the thickness of the connecting line, was
between the UK and Ireland owing to geographic proximity and
the common language. The number of international research
collaborations was proportional to the node size. The US has
the highest number of articles with international researchers
while the UK has the highest percentage of articles with
international researchers.
Table 3. Core authors in publishing documents on
polypharmacy in elderly
Rank
Author name
Frequency
% (n=1,072)
Affiliation
1
Hughes CM
21
2.0
The UK
2
Cadogan CA
15
1.4
Ireland
2
Hilmer SN
15
1.4
Australia
2
Onder G
15
1.4
Italy
5
Nobili A
13
1.2
Italy
5
Ryan C
13
1.2
Ireland
7
Johnell K
12
1.1
Sweden
8
Nightingale G
11
1.0
The US
9
Bernabei R
10
0.9
Italy
9
Franchi C
10
0.9
Italy
9
Gnjidic D
10
0.9
Australia
9
Petrovic M
10
0.9
Belgium
Figure 3. Author collaboration networks (researchers with a
minimum of five publications were included [n=65]) (Source:
Authors’ own elaboration)
Table 4. Core countries in publishing documents on
polypharmacy in elderly
Country
Frequency
% (n=1,072)
The US
267
24.9
The UK
92
8.6
Italy
72
6.7
Australia
65
6.1
Japan
61
5.7
Germany
60
5.6
Spain
56
5.2
Canada
52
4.9
Netherlands
50
4.7
Ireland
38
3.5
Turkey
35
3.3
Sweden
33
3.1
Brazil
32
3.0
China
30
2.8
Switzerland
27
2.5
France
26
2.4
Belgium
25
2.3
Denmark
22
2.1
Taiwan
22
2.1
Israel
18
1.7
India
17
1.6
Portugal
17
1.6
New Zealand
16
1.5
Finland
14
1.3
Poland
14
1.3
Austria
13
1.2
Malaysia
13
1.2
Norway
11
1.0
Figure 4. Cross-country collaboration networks (the US had
largest number of documents with international
collaborations, which is proportional to node size, followed by
the UK, & Italy & strongest cross-country research
collaboration was noted between researchers from the UK &
Ireland, as indicated by thickness of connecting line) (Source:
Authors’ own elaboration)
Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555 5 / 9
At the institutional level, Karolinska Institute (n=29, 2.7%)
was the most productive in the field, followed by University of
Sydney (n=29, 2.7%). The core institutions in the field are shown
in Table 5, including four institutions in Italy.
Top-10 Impactful Documents
Top-10 cited documents reflected topics considered
hotspots in the field and received the highest number of
citations (Table 6). Three documents were review articles. The
article with the highest normalized citation rate was published
in BMC Geriatrics.
DISCUSSION
In this study, a comprehensive quantitative bibliometric
analysis of the published literature on polypharmacy was
conducted using Scopus database. Polypharmacy has become
increasingly prevalent owing to the global aging population.
Older adults often require multiple medications to manage
their health conditions. While living longer can be considered
an accomplishment, it also presents challenges regarding
healthcare resource allocation and medication management
owing to the higher prevalence of polypharmacy and
multimorbidity. Addressing the implications of polypharmacy
has emerged as a pressing concern for healthcare professionals
across various disciplines. Ensuring safe and effective use of
multiple medications is a priority for these professionals as
they strive to provide optimal patient care [38]. A bibliometric
analysis is a valuable tool for expanding the corpus of research
and knowledge. By employing written and visual techniques,
this analysis rigorously identifies and elucidates trends within
a vast array of published articles, facilitating the
summarization of emerging themes and patterns within
scientific literature. Typically focusing on a specific topic or
discipline of interest, a bibliometric analysis provides concrete
evidence of research trends, outputs, and future directions,
allowing a comprehensive understanding of the progression of
scientific inquiry [39-41]. In the context of the present study,
the increasing number of publications offers encouraging
insights into the growth of scientific evidence pertaining to
polypharmacy. This optimistic outlook can greatly assist
clinicians and scientists in effectively addressing the
challenges associated with polypharmacy, enabling them to
develop better strategies and approaches to managing this
complex phenomenon.
The growing body of literature on polypharmacy over time
underscores the significance and relevance of this subject. This
trend can be attributed to the steady rise in the elderly
population and the subsequent increase in outpatient visits.
The published literature encompasses a wide range of topics
related to polypharmacy, including descriptive studies
examining its prevalence and characteristics and studies
exploring established services or introducing innovative
approaches. These approaches aim to develop new
interventions and services to address the challenges posed by
Table 5. Top-10 active institutions in publishing documents on polypharmacy in elderly
Rank
Institution
Frequency
% (n=1,072)
Country
1
Karolinska Institutet
29
2.7
Sweden
1
University of Sydney
29
2.7
Australia
3
Royal College of Surgeons in Ireland
22
2.1
Ireland
4
Queens University Belfast
21
2.0
The UK
5
Stockholms universitet
19
1.8
Sweden
6
University of Utrecht
17
1.2
Netherlands
7
Thomas Jefferson University
16
1.5
The US
7
Università Cattolica del Sacro Cuore, Campus di Roma
16
1.5
Italy
9
Monash University
13
1.2
Australia
9
Istituto di Ricerche Farmacologiche Mario Negri
13
1.2
Italy
9
Istituto Nazionale Riposo e Cura Anziani
13
1.2
Italy
Table 6. Most impactful documents on polypharmacy in elderly
Title
Year
Source title
CB
DT
NC
What is polypharmacy? A systematic review of definitions
2017
BMC Geriatrics
1,309
Review
218.2
Clinical consequences of polypharmacy in elderly
2014
Expert Opinion on Drug Safety
1,055
Review
117.2
Polypharmacy in elderly patients
2007
American Journal of Geriatric Pharmacotherapy
849
Article
53.1
Polypharmacy cutoff and outcomes: Five or more medicines
were used to identify community-dwelling older men at risk of
different adverse outcomes
2012
Journal of Clinical Epidemiology
768
Article
69.8
A randomized, controlled trial of a clinical pharmacist
intervention to improve inappropriate prescribing in elderly
outpatients with polypharmacy
1996
American Journal of Medicine
527
Article
19.5
Feasibility study of a systematic approach for discontinuation
of multiple medications in older adults: Addressing
polypharmacy
2010
Archives of Internal Medicine
441
Article
33.9
Polypharmacy and prescribing quality in older people
2006
Journal of American Geriatrics Society
420
Article
24.7
Health outcomes associated with polypharmacy in
community-dwelling older adults: A systematic review
2014
Journal of American Geriatrics Society
409
Review
45.4
Polypharmacy in the elderly: a literature review.
2005
Journal of American Academy of Nurse Practitioners
382
Review
21.2
Polypharmacy, adverse drug-related events, and potential
adverse drug interactions in elderly patients presenting to an
emergency department
2001
Annals of Emergency Medicine
361
Article
16.4
Note. CB: Cited by; DT: Document type, & NC: Normalized citations
6 / 9 Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555
polypharmacy effectively. The exploration of scientific
publications on polypharmacy can be traced back to as early as
1974, indicating the early recognition of its importance.
However, until 2003, the annual number of articles published
on this subject remained relatively low, with less than 10
published each year. From 2004 to 2022, there had been a
notable surge in interest, as demonstrated by the increasing
number of documents published during this period. One
plausible explanation for the spike in publication activity
starting in 2003 could be the 2002 release of WHOs policy
framework on active aging [42]. This influential policy sparked
international interest in polypharmacy, prompting researchers
and scholars to delve deeper into its various aspects and
implications.
Polypharmacy is an escalating global concern, particularly
among older adults, who are highly susceptible to adverse drug
reactions and potential drug-drug interactions [43]. This
phenomenon is rooted in the concurrent use of multiple
medications, a practice that has garnered increasing attention
across various fields owing to enhanced scientific productivity.
In this study, Journal of the American Geriatrics Society
emerged as the prominent source of articles concerning
polypharmacy. This journal publishes geriatrics and
gerontology articles (quartile 1), and authors in these fields
have the relevant expertise to address this complex issue. It is
unsurprising that the geriatric population experiences
polypharmacy-related challenges, which is evident from the
high volume of research in this area. Furthermore, several of
the top-10 journals featuring polypharmacy articles were also
affiliated with the disciplines of geriatrics and gerontology,
such as Geriatrics and Gerontology International and Drugs and
Aging. This trend reinforces the significance of these fields in
exploring the multifaceted aspects of polypharmacy. Notably,
elderly patients residing in nursing homes, who are prescribed
over nine different medications on average, face a 2.33-fold
higher risk of experiencing adverse drug reactions than do
those residing in the community [44]. This statistic illustrates
the formidable challenge that polypharmacy poses to the
elderly population. The increased vulnerability stems from the
involvement of multiple medical practitioners in their care,
coupled with the presence of multiple comorbidities.
Pharmacy and pharmacology are additional crucial aspects
addressed in publications regarding polypharmacy. This
emphasis underscores the significance of polypharmacy as a
prominent subject of interest for pharmacists. Comprehensive
annual evaluations of medications taken by patients with
polypharmacy are highly recommended. Furthermore, the
development and dissemination of tools that facilitate this
assessment process, such as the beers criteria, are of utmost
importance. With these tools, the potential adverse
consequences of polypharmacy, including side effects, drug
interactions, dosing difficulties, and drug-disease interactions,
can be significantly mitigated. These initiatives serve to
enhance patient safety and optimize therapeutic outcomes
[45]. Pharmacists are well equipped to deliver this service, and
its use is anticipated to be viewed favorably by the public.
The H-index stands out as a superior metric for assessing
scientific productivity, emphasizing the quality of publications
over their sheer quantity [46]. This measure considers citation
and publication metrics, making it a reliable indicator of
scholarly impact. In the current investigation, the top-10
journals exhibited an impressive range of h-indices, spanning
from 51 to 199. Notably, the average h-index of the articles we
retrieved was 81. The h-index can also be applied to evaluate
the performance of individual authors, institutions, and
countries. Furthermore, it is a valuable tool in determining the
impact of scientific productivity. Its significance extends
beyond the present moment, providing insights into the
quality of future research from individuals, journals, and
institutions [46].
Although an increasing number of scholars and scientists
question the suitability and universality of using citation
counts and journal impact factors as ideal standards, we opted
for these metrics in our present study due to their widespread
availability. At the moment, no superior metrics are universally
accessible for all indexed journals. F1000Prime, which
publishes recommendations for articles in biology and
medicine, emphasizes the need for editors and experts to
evaluate scientific research outputs [47]. A citation analysis is
recognized as one of the critical practices in bibliometric
evaluation in the biomedical sciences [48, 49]. The F1000 article
factor (FFa score), which measures the importance of articles
recommended (i.e., good,very good,or exceptional) by
faculty members, is another tool for research evaluation. Du et
al. found that nonprimary research (i.e., reviews) or evidence-
based research articles (i.e., systematic reviews, randomized
clinical trials, new findings, and technical advances) were more
highly cited by authors but not highly recommended by peer
reviewers across different research levels (e.g., basic, clinical,
and mixed research) [50]. In contrast, translational or
transformative research papers (i.e., articles with interesting
hypotheses, those assessing novel drug targets and changes in
clinical practice, and those presenting refutations) were less
likely to be cited by authors but were highly recommended by
peer reviewers. While the authors found that the research level
had minimal influence on the citations and FFa scores in
assessing the impact of publications, differences between the
recommendations and citations were related to the type of
research articles (i.e., technical advances and novel drug
target-related articles) [50].
The bibliometric data assessed in this study were
predominantly reported in English, widely recognized as the
language of contemporary science. English is utilized in over
80.0% of scientific journals indexed by Scopus [51], making it
the primary language for scholarly communication. Moreover,
English has become the predominant language on the Internet,
further reinforcing its role in disseminating scientific
knowledge. Research collaboration plays a pivotal role in
realizing significant research output. A substantial number of
articles retrieved for this study were found to be multi-
authored. The analysis revealed the existence of 14
collaboration networks, each comprising at least five authors.
This observation indicates the presence of various themes and
trends in collaboration, such as geographical locations and
modes of communication. Similarly, extensive collaboration
networks were discovered in previous studies focusing on
mobile health. These networks encompassed 30 clusters, each
involving a minimum of 10 authors and receiving at least 100
citations [52]. The disparity in the collaboration patterns
between the present and previous studies could be attributed
to the unique nature of the topic at hand, which necessitates
collaborations across numerous disciplines, such as
pharmacology, healthcare professional groups, and geriatrics.
Such interdisciplinary collaboration fosters the exchange of
ideas and expertise across different fields. Collaboration can be
facilitated through formal and informal interactions, which
Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555 7 / 9
commonly occur during professional and research conferences
and meetings. Additionally, the abundant communication
channels and the presence of professional organizations foster
collaboration among researchers. These means of interaction
have become the norm and are not limited to specific
professions or research areas. Moreover, several factors
increase collaboration among researchers, enhance
productivity, provide opportunities to benefit from
participating in well-known and prestigious research groups,
and improve access to funding opportunities [53]. These
benefits incentivize researchers to engage in collaborative
efforts, leading to synergistic outcomes and advancements in
their respective fields of study.
In the present study, the most cited paper was published in
BMC Geriatrics and was a review article. The papers topic is the
consequences of polypharmacy in elderly individuals, which is
expected to draw attention, as it provides extensive
information of interest to broad sectors of scientists and
healthcare providers. It is well known that review articles,
articles published in high-impact factor journals, and articles in
open-access journals receive more citations. The number of
citations may be related to the year of publication and whether
publications included international collaboration [54]. Thus,
authors can sometimes relate the number of citations received
by an article to the impact factor of the journal it appears in,
but this is not always the case. In the present research, we
examined authors who have produced a significant number of
publications on polypharmacy. We observed that these active
authors have also published many articles on subjects
unrelated to polypharmacy. This list included authors from
Europe, Australia, and US. Such bibliometric data are helpful in
measuring research success and guiding decisions among
researchers, such as granting promotion and research funding
[15, 18].
The global distribution of articles was addressed in the
present study in terms of the country affiliation of the authors.
The US authors contributed the most to the field. This finding
was expected owing to the results obtained in previous studies
highlighting the leading role of the US in medical research.
However, there is room for competition from non-anglophone
researchers publishing articles in English [55], and the number
of publications from such researchers is expected to increase
in the future. The number of publications from a country can be
affected by its population size; for example, the US population
is large, yielding a large number of publications. However, this
is not always the case since the number of publications on
polypharmacy from China was not proportional to the
population size. Thus, we hypothesize that a countrys interest
at the public level could be an overriding factor. In support of
this notion, papers on the herbal medicine artemisinin were
found to be published most frequently by authors from China,
where this medicine is widely used and is considered an area of
interest at the country level [56]. Similar to the present
findings, a previous bibliometric analysis assessing scientific
publications related to idiopathic intracranial hypertension
revealed that the largest number of publications was from
authors in the US [57]. Another bibliometric study revealed that
the US published the largest proportion of articles on
tuberculosis and probiotics in pediatrics [24]. Notably, authors
from developing countries contributed few publications on
polypharmacy. The prevalence of authors from developing
countries differs across research topics; for example, authors
from India and China have contributed to numerous
tuberculosis articles [24]. Even though China may not have
emerged as the leader in publishing articles exclusively
focused on polypharmacy, its crucial to acknowledge Chinas
significant standing in worldwide scientific publishing across
diverse domains. Consequently, the previously held notion
that developing countries generate fewer scientific outputs
than other nations due to deficiencies in their research
infrastructure is no longer applicable.
Limitations
The present study analyzed only articles indexed in Scopus
database. Therefore, relevant articles not indexed in Scopus
database may have been missing. However, the number of
such articles should be negligible, given that Scopus database
indexes a large number of peer-reviewed journals (>20,000),
includes all journals indexed in Medline, comprises more
documents than does the Web of Science core collection, and
is a more accurate and judicious tool than Google Scholar [39].
CONCLUSIONS
A systematic bibliometric analysis was conducted covering
documents published in Scopus database describing
polypharmacy in elderly individuals. In general, many studies
on polypharmacy have been published, and the number of
such studies is increasing. In this study, the most common
journal in which polypharmacy articles were published was
Journal of the American Geriatrics Society. Hughes CM (Queens
University Belfast, Belfast, the UK) published the most articles
related to polypharmacy. Most of the articles were published
by authors affiliated with the US and the UK institutions. The
present study illustrates the momentum gained in
polypharmacy research and highlights important publication-
related issues and indicators. Publications in scientific journals
in the pharmacy field are well disseminated and influential and
demonstrate good visibility. Our study highlights the value of
bibliometric analyses as a tool for healthcare professionals as
well as the need to address polypharmacy-related issues in the
clinical setting.
Author contributions: All authors have sufficiently contributed to the
study and agreed with the results and conclusions.
Funding: No funding source is reported for this study.
Ethical statement: This study does not require IRB approval as it does
not involve human subjects/data.
Declaration of interest: No conflict of interest is declared by authors.
Data sharing statement: Data supporting the findings and
conclusions are available upon request from the corresponding author.
REFERENCES
1. Friend DG. PolypharmacyMultiple-ingredient and shotgun
prescriptions. N Engl J Med. 1959;260(20):1015-8.
https://doi.org/10.1056/NEJM195905142602005 PMid:
13657330
2. Junius-Walker UG, Theile G, Hummers-Pradier E.
Prevalence and predictors of polypharmacy among older
primary care patients in Germany. Fam Pract.
2007;24(1):14-9. https://doi.org/10.1093/fampra/cml067
PMid:17164234
8 / 9 Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555
3. Masnoon N, Shakib S, Kalisch-Ellett L, Caughey GE. What is
polypharmacy? A systematic review of definitions. BMC
Geriatr. 2017;17(1):230. https://doi.org/10.1186/s12877-
017-0621-2 PMid:29017448 PMCid:PMC5635569
4. Hughes CM, Cooper JA, Ryan C. Going beyond the
numbersa call to redefine polypharmacy. Br J Clin
Pharmacol. 2014;77(6):915-6. https://doi.org/10.1111/bcp.
12284 PMid:24853404 PMCid:PMC4093916
5. Hajjar ER, Cafiero AC, Hanlon JT. Polypharmacy in elderly
patients. Am J Geriatr Pharmacother. 2007;5(4):345-51.
https://doi.org/10.1016/j.amjopharm.2007.12.002 PMid:
18179993
6. Lu W-H, Wen Y-W, Chen L-K, Hsiao F-Y. Effect of
polypharmacy, potentially inappropriate medications and
anticholinergic burden on clinical outcomes: A
retrospective cohort study. CMAJ. 2015;187(4):E130-7.
https://doi.org/10.1503/cmaj.141219 PMid:25646290
PMCid:PMC4347788
7. Maher RL, Hanlon J, Hajjar ER. Clinical consequences of
polypharmacy in elderly. Expert Opin Drug Saf.
2014;13(1):57-65. https://doi.org/10.1517/14740338.2013.
827660 PMid:24073682 PMCid:PMC3864987
8. WHO. Facts about ageing. World Health Organization; 2014.
Available at: https://www.who.int/ (Accessed: 23 February
2023).
9. Kantor ED, Rehm CD, Haas JS, Chan AT, Giovannucci EL.
Trends in prescription drug use among adults in the United
States from 1999-2012. JAMA. 2015;314(17):1818-31.
https://doi.org/10.1001/jama.2015.13766 PMid:26529160
PMCid:PMC4752169
10. ACL. Administration on aging. Administration for
Community Living; 2020. Available at: http://acl.gov/about-
acl/administration-aging (Accessed: 23 February 2023).
11. Informatics. Avoidable costs in U.S. healthcare.
Premierinc.com; 2016. Available at: https://offers.
premierinc.com/ (Accessed: 23 February 2023).
12. Kim J, Parish AL. Polypharmacy and medication
management in older adults. Nurs Clin North Am. 2017;
52(3):457-68. https://doi.org/10.1016/j.cnur.2017.04.007
PMid:28779826
13. Medicare Prescription Drug. Public law 108-173DEC. 8,
2003. Available at: https://www.govinfo.gov/link/plaw/108
/public/173 (Accessed: 23 February 2023).
14. American Pharmacists Association, National Association of
Chain Drug Stores Foundation. Medication therapy
management in pharmacy practice: Core elements of an
MTM service model (version 2.0). J Am Pharm Assoc.
2008;48(3):341-53. https://doi.org/10.1331/JAPhA.2008.
08514 PMid:18595820
15. Almodovar AS, Nahata MC. Associations between chronic
disease, polypharmacy, and medication-related problems
among medicare beneficiaries. J Manag Care Spec Pharm.
2019;25(5):573-7. https://doi.org/10.18553/jmcp.2019.25.5.
573 PMid:31039057 PMCid:PMC10398061
16. Curtin D, Gallagher PF, OMahony D. Explicit criteria as
clinical tools to minimize inappropriate medication use
and its consequences. Ther Adv Drug Saf.
2019;10:2042098619829431. https://doi.org/10.1177/2042
098619829431 PMid:30800270 PMCid:PMC6378636
17. Guthrie B, Payne K, Alderson P, McMurdo MET, Mercer SW.
Adapting clinical guidelines to take account of
multimorbidity. BMJ. 2012;345:e6341. https://doi.org/10.
1136/bmj.e6341 PMid:23036829
18. Thompson W, Farrell B. Deprescribing: What is it and what
does the evidence tell us? Can J Hosp Pharm.
2013;66(3):201-2. https://doi.org/10.4212/cjhp.v66i3.1261
PMid:23814291 PMCid:PMC3694945
19. Aspinall S, Sevick MA, Donohue J, Maher R, Hanlon JT.
Medication errors in older adults: A review of recent
publications. Am J Geriatr Pharmacother. 2007;5(1):75-84.
https://doi.org/10.1016/j.amjopharm.2007.03.009 PMid:
17608250
20. Isetts BJ, Schondelmeyer SW, Artz MB, et al. Clinical and
economic outcomes of medication therapy management
services: The Minnesota experience. J Am Pharm Assoc
(2003). 2008;48(2):203-14. https://doi.org/10.1331/JAPhA.
2008.07108 PMid:18359733
21. Nkansah NT, Brewer JM, Connors R, Shermock KM. Clinical
outcomes of patients with diabetes mellitus receiving
medication management by pharmacists in an urban
private physician practice. Am J Health Syst Pharm.
2008;65(2):145-9. https://doi.org/10.2146/ajhp070012
PMid:18192260
22. Pritchard A. Statistical bibliography or bibliometrics. J Doc.
1969;25:348-9.
23. Wang B, Pan S-Y, Ke R-Y, Wang K, Wei Y-M. An overview of
climate change vulnerability: A bibliometric analysis based
on Web of Science database. Nat Hazards. 2014;74(3):1649-
66. https://doi.org/10.1007/s11069-014-1260-y
24. Nafade V, Nash M, Huddart S, et al. A bibliometric analysis
of tuberculosis research, 2007-2016. PLoS One.
2018;13(6):e0199706. https://doi.org/10.1371/journal.pone
.0199706 PMid:29940004 PMCid:PMC6016906
25. Dwyer LL, Han B, Woodwell DA, Rechtsteiner EA.
Polypharmacy in nursing home residents in the United
States: Results of the 2004 national nursing home survey.
Am J Geriatr Pharmacother. 2010;8(1):63-72.
https://doi.org/10.1016/j.amjopharm.2010.01.001 PMid:
20226393
26. Kojima T, Akishita M, Nakamura T, et al. Polypharmacy as a
risk for fall occurrence in geriatric outpatients. Geriatr
Gerontol Int. 2012;12(3):425-30. https://doi.org/10.1111/j.
1447-0594.2011.00783.x PMid:22212467
27. Riker GI, Setter SM. Polypharmacy in older adults at home:
What it is and what to do about itImplications for home
healthcare and hospice. Home Healthc Nurse.
2012;30(8):474-85. https://doi.org/10.1097/NHH.0b013e
31826502dd PMid:22936046
28. Rohrer JE, Garrison G, Oberhelman SA, Meunier MR.
Epidemiology of polypharmacy among family medicine
patients at hospital discharge. J Prim Care Community
Health. 2013;4(2):101-5. https://doi.org/10.1177/21501319
12472905 PMid:23799716
29. Salih SB, Yousuf M, Durihim H, Almodaimegh H, Tamim H.
Prevalence and associated factors of polypharmacy among
adult Saudi medical outpatients at a tertiary care center. J
Family Community Med. 2013;20(3):162-7. https://doi.org/
10.4103/2230-8229.121987 PMid:24672273 PMCid:
PMC3957169
30. Harzing A-W, Alakangas S. Google Scholar, Scopus and the
Web of Science: A longitudinal and cross-disciplinary
comparison. Scientometrics. 2016;106(2):787-804.
https://doi.org/10.1007/s11192-015-1798-9
Al-Taani et al. / ELECTRON J GEN MED, 2024;21(1):em555 9 / 9
31. Martín-Martín A, Orduna-Malea E, Thelwall M, López-Cózar
ED. Google Scholar, Web of Science, and Scopus: A
systematic comparison of citations in 252 subject
categories. J Informetr. 2018;12(4):1160-77. https://doi.org
/10.1016/j.joi.2018.09.002
32. Mongeon P, Paul-Hus A. The journal coverage of Web of
Science and Scopus: A comparative analysis.
Scientometrics. 2016;106(1):213-28. https://doi.org/10.
1007/s11192-015-1765-5
33. Fulton MM, Riley Allen E. Polypharmacy in the elderly: A
literature review. J Am Acad Nurse Pract. 2005;17(4):123-
32. https://doi.org/10.1111/j.1041-2972.2005.0020.x PMid:
15819637
34. Mortazavi SS, Shati M, Keshtkar A, Malakouti SK, Bazargan
M, Assari S. Defining polypharmacy in the elderly: A
systematic review protocol. BMJ Open. 2016;6(3):e010989.
https://doi.org/10.1136/bmjopen-2015-010989 PMid:
27013600 PMCid:PMC4809106
35. Veehof L, meyboom-de Jong B, Haaijer-Ruskamp FM.
Polypharmacy in the elderlyA literature review. Eur J Gen
Pract. 2009;6(3):98-106. https://doi.org/10.3109/13814780
009069956
36. Sweileh WM. Research trends on human trafficking: A
bibliometric analysis using Scopus database. Glob Health.
2018;14:106. https://doi.org/10.1186/s12992-018-0427-9
PMid:30409223 PMCid:PMC6225706
37. van Eck, NJ, Waltman L. Software survey: VOSviewer, a
computer program for bibliometric mapping.
Scientometrics. 2010;84(2):523-38. https://doi.org/10.1007
/s11192-009-0146-3 PMid:20585380 PMCid:PMC2883932
38. Hovstadius B, Hovstadius K, Åstrand B, Petersson G.
Increasing polypharmacy-an individual-based study of the
Swedish population 2005-2008. BMC Clin Pharmacol.
2010;10:16. https://doi.org/10.1186/1472-6904-10-16 PMid:
21122160 PMCid:PMC3014875
39. Falagas ME, Pitsouni EI, Malietzis GA, Pappas G.
Comparison of PubMed, Scopus, web of science, and
Google scholar: Strengths and weaknesses. FASEB J.
2008;22(2):338-42. https://doi.org/10.1096/fj.07-9492LSF
PMid:17884971
40. López-Muñoz F, Castle D, Shen W, et al. The Australian
contribution to the literature on atypical antipsychotic
drugs: A bibliometric study. Australas Psychiatry.
2013;21(4):343-5. https://doi.org/10.1177/10398562134923
52 PMid:23804115
41. Weightman AL, Butler CC. Using bibliometrics to define the
quality of primary care researchBMJ. 2011;342:d1083.
https://doi.org/10.1136/bmj.d1083 PMid:21385805
42. Prazeres F, Passos L. Bibliometric analysis of the top 100
most cited articles on multimorbidity using the Dimensions
database. Family Med Prim Care Rev. 2021;23(1):49-58.
https://doi.org/10.5114/fmpcr.2021.101023
43. Dagli RJ, Sharma A. Polypharmacy: A global risk factor for
elderly people. J Int Oral Health. 2014;6(6):i-ii.
44. Nguyen JK, Fouts MM, Kotabe SE, Lo E. Polypharmacy as a
risk factor for adverse drug reactions in geriatric nursing
home residents. Am J Geriatr Pharmacother. 2006;4(1):36-
41. https://doi.org/10.1016/j.amjopharm.2006.03.002
PMid:16730619
45. Bushardt RL, Massey EB, Simpson TW, Ariail JC, Simpson
KN. Polypharmacy: Misleading, but manageable. Clin Interv
Aging. 2008;3(2):383-9. https://doi.org/10.2147/CIA.S2468
PMid:18686760 PMCid:PMC2546482
46. Bornmann L, Daniel HD. The state of h index research: Is the
h index the ideal way to measure research performance?
EMBO Rep. 2009;10(1):2-6. https://doi.org/10.1038/embor.
2008.233 PMid:19079129 PMCid:PMC2613214
47. Way M, Ahmad SA. The San Francisco declaration on
research assessment. J Cell Sci. 2013;126(9):1903-4.
https://doi.org/10.1242/jcs.134460 PMid:23687371
48. Jian D, Xiaoli t. Perceptions of author order versus
contribution among researchers with different
professional ranks and the potential of harmonic counts for
encouraging ethical co-authorship practices.
Scientometrics. 2013;96(1):277-95. https://doi.org/10.1007
/s11192-012-0905-4
49. Walker RL, Sykes L, Hemmelgarn BR, Quan H. Authors
opinions on publication in relation to annual performance
assessment. BMC Med Educ. 2010;10:21. https://doi.org/10.
1186/1472-6920-10-21 PMid:20214826 PMCid:PMC2842280
50. Du J, Tang X, Wu Y. The effects of research level and article
type on the differences between citation metrics and F 1000
recommendations. J Assoc Inf Sci Technol.
2016;67(12):3008-21. https://doi.org/10.1002/asi.23548
51. van Weijen Dr D. The language of (future) scientific
communication. Res Trends. 2007;1(31):3.
52. Sweileh WM, Al-Jabi SW, AbuTaha AS, Zyoud SH, Anayah
FMA, Sawalha AF. Bibliometric analysis of worldwide
scientific literature in mobile-health: 2006-2016. BMC Med
Inform Decis Mak. 2017;17(1):72. https://doi.org/10.1186/
s12911-017-0476-7 PMid:28558687 PMCid:PMC5450106
53. Abramo G, DAngelo CA, Di Costa F. Research collaboration
and productivity: Is there correlation? High Educ. 2009;
57(2):155-71. https://doi.org/10.1007/s10734-008-9139-z
54. Tam WWS, Wong ELY, Wong FCY, Cheung AWL. Citation
classics in the integrative and complementary medicine
literature: 50 frequently cited articles. Eur J Integr Med.
2012;4(1):e77-83. https://doi.org/10.1016/j.eujim.2011.12.
004
55. López-Navarro I, Moreno AI, Quintanilla MA, Rey-Rocha J.
Why do I publish research articles in English instead of my
own language? Differences in Spanish researchers
motivations across scientific domains. Scientometrics.
2015;103(3):939-76. https://doi.org/10.1007/s11192-015-
1570-1
56. Xu W, Zou Z, Pei J, Huang L. Longitudinal trend of global
artemisinin research in chemistry subject areas (1983-
2017). Bioorg Med Chem. 2018;26(20):5379-87.
https://doi.org/10.1016/j.bmc.2018.09.030 PMid:30279043
57. Samanci Y, Samanci B, Sahin E. Bibliometric analysis of the
top-cited articles on idiopathic intracranial hypertension.
Neurol India. 2019;67(1):78-84. https://doi.org/10.4103/
0028-3886.253969 PMid:30860102