Patient and Economic Burden of Presbyopia: A Systematic Literature Review.

PURPOSE: The objective of this systematic literature review (SLR) was to collate, report, and critique published evidence related to epidemiology and patient and economic burden of presbyopia. PATIENTS AND METHODS: A systematic literature search was conducted in MEDLINE®, Embase®, and Cochrane Library databases from the time of inception through October 2018 using Cochrane methodology. Studies published in English language reporting on epidemiology and patient and economic burden of presbyopia were included.
RESULTS: Initial systematic literature search yielded 2,228 citations, of which 55 met the inclusion criteria (epidemiology, 44; patient burden, 14; economic burden, 1) and were included in this review. Globally, 1.09 billion people are estimated to be affected by presbyopia. The reported presbyopia prevalence varied across regions and by age groups, with the highest prevalence of 90% reported in the Latin America region in adults ≥35 years. Presbyopic patients report up to 22% decrease in quality-of-life (QoL) score, and up to 80% patients with uncorrected presbyopia report difficulty in performing near-vision related tasks. About 12% of presbyopes required help in performing routine activities, and these visual limitations reportedly induce distress and low self-esteem in presbyopia patients. Uncorrected presbyopia led to a 2-fold increased difficulty in near-vision-related tasks and a >8-fold increased difficulty in very demanding near-vision-related tasks. Further, uncorrected presbyopia leads to a decrement in patients' QoL, evident by the low utility values reported in the literature. Annual global productivity losses due to uncorrected and under-corrected presbyopia in working-age population (<50 years) were estimated at US$ 11 billion (0.016% of the global domestic product (GDP) in 2011, which increased to US$ 25.4 billion if all people aged <65 years were assumed to be productive.
CONCLUSION: Uncorrected presbyopia affects patients' vision-related quality of life due to difficulty in performing near-vision-related tasks. In addition, un-/under-corrected presbyopia could lead to productivity losses in working-age adults.

Introduction

Presbyopia is an age-related impairment of near-vision characterized by gradual decrease in accommodation of the eye. It stems from a gradual thickening and loss of viscoelasticity of the natural lens.1,2 The loss of lens elasticity may be attributed to oxidized protein sulphydryl groups within lens fiber cells from intraprotein cross‐links that, with time, leads to loss of accommodative amplitude.2 Blurred vision and inability to see clear details at the near working distance are the hallmarks of presbyopia.3

Presbyopia starts to become functionally apparent around 40 years and affects individuals for a considerable part of their working life.4 If left uncorrected or under-corrected, presbyopia could result in potential productivity losses.5 The usage of digital devices is increasing significantly for both social and professional purposes, and leads to eye strain or vision stress. The adoption of digital technology has made better near vision a necessity due to exponential increase in the use of screens for work and leisure.6 Presbyopic subjects suffer from additional visual stress and productivity losses due to age-related loss of accommodation, as their intermediate and near vision (needed for viewing digital devices) is often left under-/un-corrected.7,8

Presbyopia is near universal in older patients presenting for cataract surgery. In cataract patients undergoing surgery, removal of the cataractous lens and implantation with an artificial intraocular lens (IOL) leads to total loss of accommodation, resulting in postoperative presbyopia. Implantation of standard monofocal IOLs (usually reimbursed under covered benefit) corrects only distance vision without near and intermediate vision correction. Uncorrected post-operative presbyopia still remains a challenge for patients, ophthalmologists, and optometrists.9

The objective of this systematic literature review (SLR) was to collate and report evidence related to the epidemiology and patient and economic burden of presbyopia alone or when coexisting with other eye conditions.

Materials and Methods

This SLR was conducted in accordance with the standard systematic review methodology endorsed by the Cochrane Collaboration.10 The findings from this SLR are reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.11

The systematic literature searches were conducted in the Embase®, MEDLINE®, and Cochrane Library medical literature databases from the time of database inception through October 26, 2018. The key search terms for retrieving studies of interest were presbyopia, epidemiology (“incidence,” “prevalence,”), patient burden (“patient reported outcome,” “quality of life,” “health related quality of life,” “activities of daily living,” etc.), and economic burden (“direct cost,” “indirect cost,” “productivity loss,” “resource use,” etc.). The search was restricted to articles published in English language.

Additionally, abstracts presented at keyophthalmology congresses for the past 3 years (2015 to 2018) were hand searched to retrieve either recentstudies that had not yet been published in journals as full-text articles or supplement results of previously published studies ().

Following the search process, titles and abstracts of all retrieved citations were screened according to the predefined eligibility criteria (Table 1). Following the initial screening, potentially relevant or unclear citations were identified for full-text evaluation. The study selection process was performed by two independent reviewers, with any discrepancies between reviewers reconciled by a third independent reviewer. Data related to study characteristics and disease burden were extracted into a specifically designed data extraction grid in Microsoft Excel (Microsoft Corporation, USA). The data were extracted by a single independent reviewer and checked for accuracy by a second independent reviewer. Multiple publications of the same study were linked and considered as a single study while extracting relevant data.

Table 1

Inclusion and Exclusion Criteria

	Inclusion Criteria	Exclusion Criteria
Population	Patients with presbyopia (including presbyopia along with cataract [pre-operative as well as post-operative]) Presbyopia with other refractive errors (eg, astigmatism) Age - No restriction	Patient population other than presbyopia
Interventions	Not applicable	Not applicable
Comparators	Not applicable	Not applicable
Outcomes	Epidemiology Prevalence and incidence rates of presbyopia Economic burden Direct and indirect costs of presbyopia correction Healthcare resource utilization Productivity loss Patient burden Impact on vision-related quality of life Disability and impact on daily activities Utility associated with presbyopia Patient satisfaction	Studies not reporting outcomes of interest
Study designs	RCTs and observational studies SLRs	Reviews/Case-studies/Editorial/Case reports/Case series

Abbreviations: RCTs, randomized controlled trial; SLR, systematic literature review.

Results

The PRISMA flow diagram summarizing the process and findings of the systematic literature search is presented in Figure 1.

Figure 1

PRISMA flow chart.

The literature search yielded 2,228 citations, of which 391 duplicates were removed. Based on the predefined inclusion and exclusion criteria, the titles and abstracts of all the unique 1,837 citations obtained were screened. Following the first screening of the citations, 334 potentially relevant references were identified for full-text evaluation. After linking multiple publications for the same study, 53 studies from 55 publications were included for data extraction, of which 43 studies reported data on epidemiology, 12 studies reported data on patient burden, and one study reported data on economic burden. As some of the studies evaluated multiple objectives, there was an overlap among the studies. Two of the included studies were systematic reviews. For brevity, only the characteristics of studies for patient burden and economic burden are described in Table 2.

Table 2

Characteristics of the Included Studies

Study Name	Study Design	Country	Setting	Study Period	Sample Size	Age, Mean (SD) Years	Female (%)	Outcomes
Patient burden
Kandel et al 201760	Cross-sectional study	Australia	Multicenter		48	Median: 49 (min: 22; max: 76)	59%	Impact on daily activities
Luo et al 200865	Cross-sectional study	US	Multicenter	NR	110	59.8 (12.2)	71%	Utility associated with corrected presbyopia
Holden et al 200815	SLR	Global	NA	2005	NA	NA	NA	Disabilities
McDonnell et al 200458,69	Cross-sectional study	US	Multicenter	June 1999 to January 2001	637	Range: 32–56	56% to 79%	QoL
Tahhan et al 201366	Cross-sectional study	Australia	Multicenter	July 2010 to January 2012	341	52 (7)	58.10%	Utility associated with uncorrected presbyopia
Kandel et al 201761	Cross-sectional study	Nepal	Multicenter	September to November 2016	101	34.4 (15.1)	45.5%	Impact on daily activities
Hatef et al 201663	Secondary research using GBD 2010 study	Iran	NA	1990–2010	NA	NA	NA	Disability adjusted life years
Muhammad et al 201557	Cross-sectional study	Nigeria	Multicenter	2012	650	53.6 (95% CI: 52.8–54.3)	39.20%	Impact on daily activities
Lu et al 201136,37	Cross-sectional study	China	Multicenter	June to July 2009	1008	57.5 (10.5)	57.50%	Impact on daily activities
Toit et al 201059	Cross-sectional study	Timor-Leste	Multicenter	2005	704	58.3 (12.8)	49.4%	HRQoL, Impact on daily activities
Sherwin et al 200828	Cross-sectional study	Kenya	Multicenter	NR	134	65.2 (10.3)	NR	Impact on daily activities
Patel et al 200721,62	Cross-sectional study	Tanzania	Multicenter		1709	53.4 (range: 40–91)	55.90%	Impact on daily activities
Economic burden
Frick et al 20155	Economic evaluation	Global	NR	2011	NR	NR	NR	Global productivity loss associated with presbyopia

Abbreviations: NA, not applicable; NR, not reported; SD, standard deviation; CI, confidence interval; US, United States; UK, United Kingdom; GBD, Global Burden of Disease; HRQoL, health-related quality of life.

Epidemiology

In the 43 included studies reporting on epidemiology, 34 studies used a broadly similar definition for the diagnosis of presbyopia. Presbyopia was defined either as “near vision N8 or less” (N=24 studies) or near vision worse than 6/12 or 20/40 at 40 cm (N=4 studies) or as:

Needing optical correction added to the presenting distance refractive correction to achieve a ≥1 line of near visual acuity improvement or, J1 print or N8 print. (N=6 studies)

In nine studies, presbyopia definition was not clearly stated ().

Prevalence

The Centers for Disease Control and Prevention (CDC) defines prevalence as “proportion of persons in a population having a disease or attribute at a specified point in time or over a specified time-period and includes both new and pre-existing cases.”12

In 2015, the global prevalence of presbyopia was estimated to be 1.09 billion.13 Overall, presbyopia remains widespread across the geographical regions. The reported prevalence ranged from 43.8% in Japan (age ≥40 years) to 88.9% (age ≥45 years) in USA. In the identified studies, the highest reported prevalence of presbyopia was 90.0% (age ≥35 years), in Nicaragua (Latin America).14 Other Latin American studies reported presbyopia prevalence rates of 43.6% in Venezuela, and 54.7% (age ≥30 years) to 76.0% (age ≥45 years) in Brazil.15–17 In USA, presbyopia prevalence ranged from 83.0% to 88.9% for adults aged ≥45 years.15,18

In Africa, presbyopia prevalence rates ranged from 25.1% in Kenya to 89.2% in Tanzania for adults ≥30 years.15,19–32 The substantially lower reported presbyopia prevalence rate of 25.1% in the study from Kenya could be attributed to diagnostic uncertainty.23 Some of the study teams used only torches and direct ophthalmoscopes to examine the study participants, and consequently no detailed diagnoses were possible.23 The study in Tanzania25 was performed in a nationally representative sample of 400 people aged between 40 and 50 years. However, other details including the definition for presbyopia diagnosis was not provided therefore it is difficult to interpret and contrast substantial differences in estimated presbyopia prevalence rate between these two African countries and data should be interpreted with caution. Future studies in Africa should use standardized diagnosis definition and methods.

In the Asia-Pacific region, reported prevalence of presbyopia varied between countries and age groups. In Pakistan, presbyopia prevalence ranged from 57.5% to 71.2% for adults aged ≥30 years.15,33 Whereas, for adults aged ≥40 years, the reported prevalence ranged from 43.8% in Timor-Leste to 67.3% in the People's Republic of China.15,33–51 One study conducted in the urban Chinese population reported presbyopia prevalence rates of 25.2% for adults aged ≥35 years.52 Low prevalence reported in the study as compared to other Asia-Pacific studies was attributed to significant differences in age distributions, socioeconomic status and definitions utilized.52 None of the identified studies reported on presbyopia prevalence in the European region.

Incidence

The Centers for Disease Control and Prevention (CDC) defines incidence as “occurrence of new cases of disease in a population over a specified time-period.”12 The incidence of presbyopia was reported in a population-based study conducted in 1,191 patients aged ≥35 years from aurban district in People's Republic of China in 2008.52 The estimated 6-year incidence of presbyopia was 42.8% (95% confidence interval [CI]: 39.4–50.1), with older and more hyperopic subjects being at a higher risk of developing presbyopia (p<0.001).52

Risk Factors

Among the various risk factors attributed to presbyopia, age plays a significant role.13,53–55 With increasing age, the flexibility of the natural eye lens starts decreasing, affecting its ability to accommodate and focus on near objects.35 The odds of developing presbyopia increases by 16% per year from age 40 to 50 (odds ratio [OR]: 1.16; 95% CI 1.12–1.20), and by just 1% per year after age 50 (OR: 1.01; 95% CI 0.99–1.03).22 The odds of developing presbyopia increases by approximately 4–7 times in patients with hyperopia and by approximately 2 times in patients with myopia compared to emmetropic subjects.35,38 Patients with these refractive errors typically tend to experience the onset of presbyopia earlier than emmetropic subjects.35 Women often start wearing spectacles for near-vision at a younger age than men.22,26,38 Other factors that may contribute to accelerating the progression of presbyopia include certain medical conditions (eg, cardiovascular disease, diabetes mellitus, and multiple sclerosis) and drugs (eg, antihistamines and antidepressants).56

Patient Burden

Impact of Presbyopia on Quality of Life

Among the included studies for presbyopia, patient burden, outcomes related to quality of life (QoL), and disability in daily activities were reported in 10 studies. Three studies reported the impact of presbyopia on vision-related quality of life.57–59 All identified studies were cross-sectional in design. Findings from these studies indicated that uncorrected presbyopia patients had reduced vision-related quality of life.

Muhammad et al (2015)57 conducted a population-based cross-sectional survey to determine the impact of uncorrected presbyopia on vision-related quality of life and visual function (VF) using the 14-item Visual Function Index (VF-14) and modified vision-related quality of life questionnaire in Nigerian adults aged ≥40 years (N=635).57 Among presbyopia patients (30% of the study population), a mean visual function score of 85.1 (95% CI: 83.1–87.1) and a mean quality of life score of 78.1 (95% CI: 69.6–75.5) was reported (scores range: 0–100, with lower scores signifying poorer quality of life) meaning that presbyopia could decrease patients’ quality of life by 22% compared to a person with full health.57 Further, patients with uncorrected presbyopia reported functional difficulty in performing daily activities such as reading, writing, threading needles, and using mobile phones.

Holden et al (2008)15 conducted a global review of population-based surveys to evaluate the personal and community burdens of uncorrected presbyopia. The authors estimated that approximately 80% of patients (410 of 517 million)15 with uncorrected presbyopia had difficulty in performing near-vision related tasks such as reading, writing, threading needles, and using mobile phones. Other studies also reported similar difficulties in near-vision-related tasks in presbyopic patients (Figure 2).28,60–62

Figure 2

Impact of uncorrected presbyopia on daily activities. Sources: Holden et al,15 Kandel et al,60 Kandel et al,61 Sherwin et al,28 and Patel et al.62.

Lu et al (2011)36,37 conducted a population-based cross-sectional survey to evaluate the effect of presbyopia on quality of life in Chinese adults aged ≥40 years (N=776).36,37 Overall, 69% (n=538) of the study population was presbyopic and 31% (n=238) had no presbyopia. Reportedly, 50.4% (120/238) of the adults without presbyopia indicated good or very good overall eyesight, compared to only 24.7% (133/538) of persons with presbyopia. Over 90% of those with presbyopia reported some level of difficulty with activities of daily living, whereas more than a third of those without presbyopia had no such difficulties.36,37 The odds of reporting any difficulty with daily tasks remained higher (OR: 2.32; p=0.001) for presbyopes after adjustment for age, sex, education, and distance vision. Compared with non-presbyopic individuals, presbyopes more often reported diminished accomplishment in terms of household activities, social interaction, and work and leisure time pursuits. Furthermore, 12% of the presbyopes reported requiring help from others due to a decrease in their visual function. In the same study, 15% reported a low sense of accomplishment due to impaired vision and 7% stated feeling ashamed or embarrassed due to poor vision. The study demonstrated the limitations in daily activities imposed by presbyopia and the corresponding impact on the rural population. The impairment was notably linked to vision-specific distress due to a broader social impairment associated with shame and embarrassment of vision deficit in patients.

Patel et al (2006)62 conducted a cross-sectional, population-based survey to determine the impact of uncorrected presbyopia on vision-targeted quality of life in rural African presbyopia patients aged ≥40 years (N=1,564).62 The authors reported that uncorrected presbyopia led to a 2-fold increased difficulty in performing near-vision related tasks and a >8-fold increased difficulty in performing very demanding near-vision-related tasks. Increasing age was found to be associated with higher odds of reporting difficulty for near-vision-related tasks.62

Kandel et al (2017)60,61 conducted qualitative, interview-based studies in Australia (N=48)60 and Nepal (N=101)61 to explore the impact of refractive errors on patients’ quality of life. Thematic analysis performed in both these studies identified six themes related to the quality of life related concerns in people with refractive errors (including presbyopia): worry; difficulty in performing physical, recreational, and day-to-day activities; inconvenience; unwanted ocular and non-ocular sensations; psychosocial well-being; and economic implications. The studies also highlighted inconvenience-related concerns associated with spectacles and contact lens use by patients to correct their refractive errors.60,61 Other studies from USA, Iran, and Timor-Leste also demonstrated the burden of presbyopia on patients and the impact on their quality of life due to increased vision-related disability.58,59,63

Utilities represent the strength of individual preferences for different health states, and are an important measure for determining patient’s quality of life.64 Utility values range between 0 (representing death) and 1 (perfect health), with higher values representing better quality of life with the associated health condition.64 In this review, two studies were identified that estimated utility values in presbyopia patients using a patient preference-based, time trade-off methodology.65,66

Luo et al (2008) interviewed 110 patients (from Pennsylvania Eye Care Center, USA) with spectacle-corrected presbyopia and a best-corrected visual acuity of 20/40 or better in a cross-sectional, patient preference-based, time trade-off utility analysis to derive the health-related utilities with presbyopia.65 The authors reported a mean utility of 0.98 (SD 0.086, 95% CI 0.33–1.0) for the total cohort of 110 corrected presbyopic patients. Through a time trade-off experiment, the authors elicited that 10% of the presbyopia patients were willing to trade-off 5%, while ~6% of the presbyopia patients were willing to trade-off 10% of their remaining lifetime to get rid of presbyopia, which signifies the impact of the condition on patients’ quality of life. Corrected patient cohorts in the study were also analyzed according to the degree of presbyopia (Group 1: ≤1.75 D, Group 2: ≥1.75 D and ≤ 2.25 D, Group 3: ≥2.25 D), and according to patients’ primary refractive error (either emmetropia, myopia or hyperopia). The mean utility values were similar across the groups, implying that correction of presbyopia with varying refractive errors provided similar benefits (Figure 3).65

Figure 3

Variation in health-related quality of life scores (utilities) for corrected and uncorrected presbyopia patients. Sources: Luo et al65 and Tahhan et al.66

A measurable decrement in QoL due to uncorrected presbyopia, based on considerably low utility values, was observed in the study by Tahhan et al (2013). The authors conducted a cross-sectional study using a standardized, face-to-face time trade-off interview method to determine utilities associated with uncorrected refractive error (including presbyopia) in 341 patients (40–65 years of age) undergoing an eye examination at a university-based eye research clinic in Sydney, Australia.66 The authors observed that presbyopia coexisting with far-sight refractive errors was found to be associated with a noticeable reduction in patients’ vision-related QoL (comorbidity-adjusted utility of 0.62 in severe patients to 0.70 in moderate patients) (Figure 3). The utility values for patients with coexisting distance and near vision impairment were significantly worsened compared to patients with distance vision or near vision impairment alone (adjusted and unadjusted, p < 0.01).66

Economic Burden

Productivity Loss Due to Presbyopia

Frick et al (2015)5 conducted an economic modeling study wherein population data from the US Census Bureau was combined with the estimated presbyopia prevalence, age of onset, employment rate, gross domestic product (GDP) per capita in current US dollars, and near-vision impairment disability weights from the GBD 2010 study. Using these data, the authors estimated the global loss of productivity from uncorrected and under-corrected presbyopia in 2011.5

Across a total of 244 million working-age presbyopic patients worldwide, aged <50 years (both uncorrected and under-corrected), presbyopia was estimated to result in annual productivity losses of US$ 11.0 billion (0.016% of the global GDP). If all those people aged <65 years were assumed to be productive, the potential annual productivity losses would increase to US$ 25.4 billion or 0.037% of the global GDP (Figure 4).5 The authors further estimated that if presbyopia was corrected to the level achieved in Europe (96% correction as per Holden et al15) from the current levels (highest, 84% in North America and lowest, 6% in Africa, outside of Europe), annual productivity losses could be reduced by US$10 billion to US$ 1.4 billion (Figure 4).5

Figure 4

Global productivity loss associated with uncorrected presbyopia. Sources: Frick et al (2015).5.

Discussion

The current study was aimed at conducting a systematic literature review of the published evidence on epidemiology and burden of presbyopia (patient and economic burden) using standard methodology.

Presbyopia prevalence in the literature varied between regions with the highest prevalence reported from Latin America, ranging between 54.7% and 90.0% in adults ≥35 years.14,15 The prevalence of presbyopia was reported in 43 publications however epidemiological data was still missing from key demographics such as Europe and large developing economies such as India and Russia. Future epidemiology studies should focus on these geographies. In addition, we found only one study52 which estimated the incidence of presbyopia (study quality assessment = moderate) therefore the current evidence base needs to be further strengthened to better understand the onset of the condition and to inform vision care guidelines and policies. Nine studies which reported presbyopia epidemiology did not specify the definition used for the diagnosis of presbyopia which made it difficult to interpret and contrast findings with other studies. We recommend future studies should consistently provide this information to help readers in interpreting evidence.

Among the identified risk factors that contributed towards presbyopia development, age played a significant role as the odds of developing presbyopia increased by 16% per year from age 40 to 50.22 The odds of developing presbyopia are higher in patients with hyperopia, as uncorrected hyperopes use up part of their residual amplitude in overcoming their hyperopia.35,38,67 One study conducted in Iran38 reported that women have a higher prevalence of presbyopia as well as having a greater increase in presbyopia prevalence with increasing age when compared to men. In addition, people of short stature were found to have earlier onset of presbyopia probably because they use shorter working distances which may require greater accommodation.68

Nearly half of the presbyopia patients remain uncorrected, especially in the developing countries.15 Uncorrected presbyopia was reported to be having a 2-fold increase in difficulty to perform near-vision related tasks and an >8-fold increase in difficulty in performing very demanding near-vision related tasks in subjects aged >40 years compared to younger subjects aged <40 years.62 As many as 80% of the uncorrected presbyopes faced trouble in performing near-vision-related tasks such as reading, writing, threading needles, and using mobile devices which could impact patients’ productivity.15 Published evidence suggests that up to 12% patients reportedly required help from others to perform daily tasks which could pose a significant disability-related burden.36,37 Uncorrected presbyopia could also impact mental well-being of patients with up to 15% patients reporting a low sense of accomplishment due to impaired vision, while 7% of patients stated feeling ashamed or embarrassed due to poor vision.36,37

Studies evaluating utility values in uncorrected presbyopia demonstrated a decrease in the overall QoL in presbyopia patients due to impaired vision.65,66 The impact of presbyopia on patients’ quality of life is evident as 10% of the presbyopia patients were reportedly willing to trade-off 5% of their remaining lifetime and ~6% were willing to trade-off 10% of remaining life-time to get rid of presbyopia.65 These findings show that presbyopia could affect patients’ ability to perform activities of daily living which demand near vision and some patients could require caregiver assistance. Presbyopes report having negative impact of the condition on their quality of life. In developing countries, where access to vision care services is limited or not provisioned by healthcare systems, this could lead to patients persisting with uncorrected presbyopia and with reduced quality of life. Moreover, in many developed countries vision care services are outside covered benefits and patients are required either to pay out-of-pocket expenses or buy private vision care insurance which could leave out economically disadvantaged people and make them vulnerable to un-/under-corrected presbyopia and consequentially lead to a decrement in their quality of life.

In this review, only one study was found which reported productivity losses due to uncorrected presbyopia. The global annual productivity losses were estimated to be US$ 25 billion or 0.037% of the global GDP in the working-age presbyopic adults (≤65 years).5 Optimal correction of presbyopia could help in mitigating this productivity loss due to presbyopia.4 This area should be further investigated by designing primary research studies across countries to better estimate true local and global economic impact of presbyopia on patients and societies.

To our knowledge, this study is the first comprehensive systematic literature review that has reported on the epidemiology, patient burden, and economic burden associated with presbyopia. We followed the recommended methodology, and used the comprehensive and systematic approach to document the published evidence on presbyopia burden. However, there are some limitations. First, studies published in English language only were included. Second, due to the paucity of evidence, some studies which reported overall disease burden due to refractive errors including presbyopia were included.

Conclusions

The findings from the current study highlight the patient, societal, and economic burden of presbyopia. More than half of the middle-aged to elderly population is affected by presbyopia, with an estimated 1.09 billion worldwide prevalent cases of presbyopia. Patients with presbyopia report difficulty in performing near-vision-related tasks and may require caregivers’ help in some situations. Un-/under-corrected presbyopia could pose an economic burden for patients by affecting their work productivity when they require demanding use of near vision to perform work-related tasks. With an increasing population and an ageing society, there is a need for greater access to vision care services across the globe for timely screening and optimized correction of presbyopia, especially in the working-age population. Further research is required to understand the epidemiology of presbyopia in Europe and countries with large populations such as India. In addition, new evidence with good quality primary research is required to estimate economic impact of the condition on patients and societies.