Literature DB >> 31515429

Burden of visual impairment associated with eye diseases: exploratory survey of 298 Chinese patients.

Xiaodong Guan1,2, Mengyuan Fu1, Fanghui Lin2, Dawei Zhu2,3, Daniel Vuillermin4, Luwen Shi5,2.   

Abstract

OBJECTIVES: To explore the economic burden, prevalence of catastrophic healthcare expenditure (CHE) and the quality of life (QoL) of Chinese patients with visual impairment (VI) associated with eye diseases.
DESIGN: A questionnaire survey from March to May 2016 by structured face-to-face interviews of patients with VI. PARTICIPANTS: 302 patients who were diagnosed with moderate VI or worse in both eyes (visual acuity <6/18) were included, and 298 patients (98.7%) who completed the survey questionnaires were eligible for the study. OUTCOME MEASURES: The economic burden was estimated by calculating participants' direct costs covered in 2015 and the definition of CHE was out-of-pocket (OOP) costs exceeding 30% of annual household income. QoL was weighed by health utility value using time-trade-off valuation techniques.
RESULTS: Annual average direct costs per patient caused by VI were US$6988.6±US$10 834.3, and 70.3% were direct medical costs of which only 26.9% were reimbursable by medical insurance. 32.2% of households that suffered from CHE, in particular, were less wealthy patients with VI living in rural areas and without medical insurance. The health utility value was rated at 0.65 on average, and patients with VI aged 51-57, living alone and insured by commercial medical insurance had relatively less QoL.
CONCLUSION: Our study explored the economic burden and QoL of VI associated with patients with eye diseases in China, indicating a substantial economic burden and poor QoL. Preferential medical insurance policies should be designed in relation to people with VI to further reduce the health inequalities, avoid CHE and promote QoL. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  catastrophic healthcare expenditure; economic burden; quality of life; visual impairment

Year:  2019        PMID: 31515429      PMCID: PMC6747637          DOI: 10.1136/bmjopen-2019-030561

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To our knowledge, this is the first study to explore the prevalence of catastrophic healthcare expenditure and QoL of Chinese patients with VI associated with eye diseases. The face-to-face interviews were conducted in two tertiary general hospitals in Beijing, which might result in potential sample selection bias. There could have been recall bias because the data were self-reported by the patients.

Introduction

With a large rapidly-ageing population in mainland China, visual impairment (VI) is emerging as a significant public health concern.1 According to the World Health Survey (2003), one in five adults reported some degree of far visual difficulty.2 In 2015, the number of people with moderate VI or worse was estimated to be 253 million globally.3 More than 80% of the global total of VI occurs in low-income countries,4 and 26.5% of the total of VI occurs in China.5 The prevalence of VI in China is 0.94%, yet, for the people older than 50, this figure rises to 5.8%. In Tibet, one of the highest and harshest human habitations on earth, the prevalence is 13.2%.6–8 The main impact of VI is a diminished ability to perform daily activities, which often results in high health expenditures and the loss of independence.9 The total financial cost of VI worldwide was estimated to be $3 trillion in 2010 or $4030 per person who is visually impaired.10 In addition to the economic burden, VI also has extensive social ramifications in terms of participation in society, employment and quality of life (QoL). The WHO estimated that 1% of the total global burden of disease measured as disability-adjusted life years (DALYs) attributable to VI increased by 47% from 12.9 million DALYs in 1990 to 18.8 million DALYs in 2010.11 12 The burden of VI has been well researched in countries such as the USA, Australia and some European countries.12–14 However, little is known about the economic burden and QoL of patients with VI associated with eye diseases in China. Therefore, we undertook an explanatory survey to quantify the economic burden, identify the prevalence of catastrophic healthcare expenditure (CHE) and describe the QoL of Chinese patients with VI associated with ocular diseases. The results will provide primary information for policy-makers when allocating limited public insurance financial resources in mainland China.

Methods

Questionnaire design

We conducted a questionnaire survey by structured face-to-face interviews of patients with VI. The study questionnaire included standardised items developed by reviewing related research as well as items developed by consulting ophthalmologists and pharmacists. The survey questionnaire included four parts: (1) sociodemographic information, (2) clinic-related information, (3) economic burden and (4) QoL.

Sociodemographic information

Age, gender, ethnicity, educational level, occupation, marital status, living status, current living place, medical insurance, personal income, household size and household income were included.

Clinic-related information

Healthcare service use, treatment history and level of VI were included. The level of VI was divided into three categories based on the WHO visual acuity (VA) categorisation principles: (1) moderate VI (6/60VI (3/60blindness (VA <3/60).15 Causes of VI were noted using standard WHO methodology for surveys on VI.16

Economic burden

Economic burden was estimated by calculating participants’ direct costs related to the diagnosis, treatment and follow-up care of eye diseases leading to VI and the expenses related to the vision loss/inability to see in the year 2015. Direct costs included direct medical costs, which were further divided into insurance covered and OOP parts, and direct non-medical costs.

Quality of life

The time trade-off (TTO) valuation technique is a commonly used QoL measurement that is understood by the majority of patients and shows good reproducibility.17 In our study, TTO determined the length of lifetime the respondent would be willing to forego to live in perfect health by asking, ‘Assuming you will only live for 10 years, what is the maximum amount of that time, if any, you would be willing to trade for a return to permanent perfect vision (1.0) during the years that remain?’18 The questionnaire was designed and optimised by ophthalmologists and clinical pharmacists in Beijing, China. After conducting a pilot field research study in a tertiary hospital in Beijing, all of the experts agreed that the questionnaire was valid. The items and descriptions of the survey questionnaire are shown in online supplementary appendix 1.

Recruitment and sampling

Two tertiary hospitals in Beijing were recruited based on the volume of ocular outpatient visits using convenience sampling methods. Participants were eligible for inclusion in the study if they were diagnosed with moderate VI or worse in both eyes (VA <6/18) and were physically and mentally able to participate in the survey and agreed to participate in the study. We excluded participants who were pregnant, had a concomitant malignant disease or an inability to complete the questionnaire. Given the time required for each face-to-face interview and the volume of patients with VI visits in the both sample hospitals per day, we aimed to collect data from approximately 300 patients.

Data collection and quality control

A questionnaire survey was conducted from March to May 2016 by structured face-to-face interviews of outpatients admitted in ophthalmic department in Peking University Third Hospital and Beijing Hospital. These two hospitals accept most ocular outpatient visits in Beijing. All of the investigators were trained for standard processes via a workshop before implementation of the survey to minimise performance bias. In order to control ascertainment bias, the investigators read all the contents of the questionnaire during the face-to-face interviews to establish that patients with VI could hear and understand the questions. The interviews lasted approximately 0.5–1.0 hours to collect detailed information. The researchers emphasised to participants that only vision-related costs were to be included after reading through every question in the economic burden section to ensure accurate recording of economic burden. Survey data were recorded on paper forms and translated using Epidata V.3.1. All patients were deidentified into a unique project sequence number during data analysis to ensure anonymity and control analysis bias.

Outcome measures

Catastrophic healthcare expenditure

CHE was defined as out-of-pocket (OOP) for healthcare over a year that exceeded a certain proportion of a household’s income. This threshold had been defined in many ways. One of the most common definitions was OOP costs exceeding 30% of annual household income.19 Answers to the TTO questions were converted to utility value. Z= (10-N)/10 Z is the health utility value; N is the number of years that the respondents are willing to trade for a return to permanent perfect vision. Utility values were anchored on a scale between 0 (the preference for death rather than living in the patient’s current state of health) and 1 (a perception of perfect health).17

Statistical analysis

Costs and income were assessed in Chinese yuan (CNY) and converted into US dollars (USD) uniformly based on exchange rates on 1 June 2016 (1 USD=6.5889 CNY) to make the results more comparable with those of other published studies. STATA V.14.0 was applied to conduct the following statistical analysis: (1) descriptive analysis of the participants’ demographic information, healthcare service use, insurance reimbursement rate, expenditures, CHE prevalence and QoL; and (2) bivariate χ2 test on the difference of CHE prevalence and QoL value between subgroups. The level of statistical significance was p<0.05 (two-sided).

Patient and public involvement

Patients and the public were not involved in the development of the research questionnaire, outcome measures, design, recruitment and implementation of the study. The results will be disseminated through scientific journals.

Results

Description of demographic characteristics

A total of 302 patients were included and 298 completed questionnaires were eligible for this study, yielding a response rate of 98.7%. Patients’ demographic data are shown in table 1. The mean age in the sample was 65.4, and there were slightly fewer men (47.7%). Most of the participants were married (85.2%) and living with family (94.6%) and in urban areas (71.8%). Of the total participants, 41.3% were covered by urban employee basic medical insurance, 23.8% by new cooperative medical scheme (NCMS), 14.1% by government medical insurance (GMI) and 13.4% by urban resident basic medical insurance (URBMI).
Table 1

General characteristics of sample of visually impaired patients in 2015

Characteristicsn (%)Outpatient visitInpatient visitHospital stay per visit (days)Household income(USD)
Total 298 9.7 0.6 2.7 13 457.8
Age (years)
 19–5039 (13.1)11.41.13.512 696.0
 51–70125 (41.9)10.80.62.613 452.4
 71–90134 (45.0)8.10.42.513 684.4
Gender
 Male142 (47.7)10.70.62.714 408.2
 Female156 (52.3)8.80.52.712 592.6
Ethnicity
 Han278 (93.3)9.40.62.712 788.9
 Minority20 (6.7)13.90.72.122 755.0
Educational level
 Primary and below71 (23.8)9.30.51.96945.0
 Middle and high school159 (53.4)9.90.62.713 853.7
 College and above68 (22.8)9.60.73.319 332.0
Occupation*
 Management personnel32 (10.7)12.10.82.315 623.8
 Professional personnel81 (27.2)9.00.62.516 599.2
 General staff89 (29.9)10.10.62.214 206.2
 Farmer56 (18.8)6.90.42.04707.6
 Other professions11 (3.7)14.00.52.928 215.5
 Unemployed29 (9.7)7.71.03.111 295.3
Marital status
 Unmarried44 (14.8)5.00.82.412 740.7
 Married254 (85.2)10.50.52.713 582.0
Living status
 Alone16 (5.4)7.90.65.66304.6
 With family282 (94.6)9.80.62.513 863.6
Current living place
 Urban214 (71.8)9.70.62.715 792.0
 Rural84 (28.2)9.60.62.67511.1
Medical insurance†
 None8 (2.7)18.11.4318 299.2
 NCMS71 (23.8)9.80.62.315 099.4
 URBMI40 (13.4)8.10.41.811 345.5
 UEBMI123 (41.3)10.20.53.66333.6
 GMI42 (14.1)7.90.51.831 936.8
 CMI14 (4.7)5.51.51.44249.6
Level of VI
 Moderate VI174 (58.4)9.70.41.815 021.5
 Severe VI86 (28.9)9.60.73.512 308.5
 Blind38 (12.8)10.01.24.78898.5
Duration of VI (months)‡
 3–636 (12.1)4.60.41.312 948.3
 6–1248 (16.1)7.50.52.89755.8
 >12214 (71.8)11.10.62.914 373.8
Cause of VI
 Cataract80 (26.8)4.80.31.510 898.1
 AMD35 (11.7)12.10.31.412 185.9
 Vascular retinopathy27 (9.1)8.90.92.114 326.4
 Glaucoma17 (5.7)16.71.26.217 850.1
 Other eye diseases60 (20.1)10.10.62.611 511.3
 Multiple ocular diseases79 (26.5)12.00.73.816 849.5
Economic status§
 Lowest59 (19.8)10.00.62.32445.9
 Lower59 (19.8)7.70.83.96464.2
 Middle60 (20.1)8.30.53.310 890.3
 Higher60 (20.1)14.20.51.415 481.5
 Highest60 (20.1)8.40.62.432 134.7

*Occupation included current profession of unretired participants and former profession for the retired. Professional personnel were professional and technical personnel, that is, teachers, doctors, lawyers, engineers, among others.

†Public insurance included NCMS in the rural area, UEBMI, URBMI and GMI. NCMS was insurance for rural residents, UEBMI was for urban employees of urban enterprises, and URBMI was for those who were not employed or were flexible employees and children with urban household registration, students of urban schools and rural migrants who worked in cities. GMI, also called publicly funded free medical care, was insurance for some of the civil servants and personnel at public institutions. CMI was supplement of public medical insurance, purchased by respondents’ employers or by themselves from an insurance company.

‡Duration of VI was defined by the period from the time during which the participants had their current visually impaired level.

§Economic status was divided into five equal intervals based on household income per capita of the study participants. Lowest US$60.7,1274.9; lower US$1365.9 and US$2428.3, middle US$2529.5 and US$4097.8, higher US$4249.6 and US$6677.9, and highest US$7183.8 and US$37 942.6.

AMD, age-related macular degeneration; CMI, commercial medical insurance; GMI, government medical insurance; NCMS, new cooperative medical scheme; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance; VI, visual impairment.

General characteristics of sample of visually impaired patients in 2015 *Occupation included current profession of unretired participants and former profession for the retired. Professional personnel were professional and technical personnel, that is, teachers, doctors, lawyers, engineers, among others. †Public insurance included NCMS in the rural area, UEBMI, URBMI and GMI. NCMS was insurance for rural residents, UEBMI was for urban employees of urban enterprises, and URBMI was for those who were not employed or were flexible employees and children with urban household registration, students of urban schools and rural migrants who worked in cities. GMI, also called publicly funded free medical care, was insurance for some of the civil servants and personnel at public institutions. CMI was supplement of public medical insurance, purchased by respondents’ employers or by themselves from an insurance company. ‡Duration of VI was defined by the period from the time during which the participants had their current visually impaired level. §Economic status was divided into five equal intervals based on household income per capita of the study participants. Lowest US$60.7,1274.9; lower US$1365.9 and US$2428.3, middle US$2529.5 and US$4097.8, higher US$4249.6 and US$6677.9, and highest US$7183.8 and US$37 942.6. AMD, age-related macular degeneration; CMI, commercial medical insurance; GMI, government medical insurance; NCMS, new cooperative medical scheme; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance; VI, visual impairment. Of the visual-related health conditions reported, 58.4% had moderate VI, 28.9% had severe VI, and 12.8% were blind. Of the total participants, 71.8% had been suffering from VI for more than 1 year. Of the participantsVI, 26.8%, 11.7% and 9.1% were caused by cataract, age-related macular degeneration (AMD) and vascular retinopathy separately, while 26.5% was caused by multiple ocular diseases. The annual personnel income and household income of the participants were US$6266.4±US$10 4030.2 and US$13 457.8±US$167 110.9, respectively.

Healthcare service use

As shown in table 1, the average number of healthcare service use due to VI within 1 year was 9.7 outpatient visits, ranging from 4.8 visits (cataract) to 16.7 visits (glaucoma). The average number and length of inpatient hospital visits were 0.6 visit within 1 year and 2.7 days of hospital staying per visit.

Direct costs

The total direct medical costs were US$6988.6±US$108 340.3 in 2015, including direct medical costs of US$4909.8±US$89 810.7 (70.3%) and direct non-medical costs of US$2078.8±US$44 300.6 (29.7%). As shown in table 2, of the direct medical costs, outpatient fees represented the largest costs at US$3408.5 (69.4%), followed by inpatient costs at US$1369.5 (27.9%). Except outpatient and inpatient costs, the participants also purchased drugs by themselves in retail pharmacies (2.7%). Only 10.6% of the outpatient costs, 24.4% of the inpatient costs and 2.6% of the self-purchased drug costs were covered by the medical insurance. The average total OOP cost per patient was US$4211.6 (85.8%).
Table 2

Annual direct costs of Chinese patients with visual impairment associated with ocular diseases

CharacteristicsMean(USD)Median(USD)Max(USD)Min(USD)Proportion(%)
Direct medical costs* 70.3
 Outpatient costs69.4
  Total3408.5607.168 296.70.0
  Drug2352.7215.554 637.30.0
  OOP3048.5324.868 296.70.0
 Inpatient costs27.9
  Total1369.50.031 871.80.0
  Drug408.80.012 748.70.0
  OOP1034.80.031 871.80.0
 Self-purchased drug costs2.7
  Total131.80.04553.10.0
  OOP128.30.04553.10.0
 Total direct medical costs4909.81517.770 573.20.0100.0
Direct non-medical costs 29.7
 Long-term home care1216.60.028 836.40.058.5
 Transportation149.815.25463.70.07.2
 Food or accommodation176.80.09106.20.08.5
 Escort†161.115.26677.90.07.7
 Nutrition or assistive devices277.10.04629.00.013.3
 Home modifications97.50.06070.80.04.7
 Total direct non-medical costs2078.8440.133 237.70.0100.0
Total direct costs6988.62281.8101 079.145.5 100.0

*Direct medical costs measured the cost of resources used for treating a particular illness and consisted of outpatient costs, inpatient costs and self-purchased drug costs. Outpatient costs were vision-related medical costs during outpatient visits, including registration fee, medical service fee, treatment fee, examination fee, drug expenses and medical supply expenses. Inpatient costs were vision-related medical costs during hospitalisation, including medical service fee, treatment fee, examination fee, surgery fee, drug expenses and medical supply expenses. Expenditures of medicine prescribed and purchased during outpatient and inpatient visits in hospitals were included in outpatient and inpatient drug costs, respectively. The cost of self-purchased drugs was the expense of the drugs that patients bought in pharmacies (not in hospitals) for their ocular disease treatment after the initial diagnosis.

†Cost of escort was meal, transport and accommodation costs encountered by patients’ escorts during all outpatient or inpatient visits.

OOP, out-of-pocket.

Annual direct costs of Chinese patients with visual impairment associated with ocular diseases *Direct medical costs measured the cost of resources used for treating a particular illness and consisted of outpatient costs, inpatient costs and self-purchased drug costs. Outpatient costs were vision-related medical costs during outpatient visits, including registration fee, medical service fee, treatment fee, examination fee, drug expenses and medical supply expenses. Inpatient costs were vision-related medical costs during hospitalisation, including medical service fee, treatment fee, examination fee, surgery fee, drug expenses and medical supply expenses. Expenditures of medicine prescribed and purchased during outpatient and inpatient visits in hospitals were included in outpatient and inpatient drug costs, respectively. The cost of self-purchased drugs was the expense of the drugs that patients bought in pharmacies (not in hospitals) for their ocular disease treatment after the initial diagnosis. †Cost of escort was meal, transport and accommodation costs encountered by patients’ escorts during all outpatient or inpatient visits. OOP, out-of-pocket. Direct non-medical costs occurred mostly due to long-term home care at US$1216.6 (58.5%). Nutrition or assistive devices, food and accommodation, escort, transportation, and home modifications costs accounted for 13.3%, 8.5%, 7.7%, 7.2% and 4.7%, respectively. The specific costs among different groups are shown in online supplementary appendix 2.

Insurance reimbursement rate

As shown in table 3, 28.1%, 9.5%, 2.7% and 26.9% of the outpatient, inpatient, self-purchased drugs and total direct medical costs caused by VI were reimbursable. However, the reimbursement rate decreased with the severity of VI (moderate VI 28.1%, severe VI 27.0% and blindness 21.4%) and increased with patient’s economic status (lowest 15.0%, lower 25.4%, middle 28.7%, higher 31.7% and highest 39.3%). Rural patients received a lower reimbursement rate (13.9%) as most of their medical insurance scheme was NCMS, which has a much lower reimbursement rate than other insurance schemes. The reimbursement rate of different diseases ranged from AMD (23.9%) and glaucoma (24.8%) to cataract (26.7%) and multiple ocular diseases (32.1%).
Table 3

Reimbursement rate, proportion of CHE and QoL by related characteristics

CharacteristicsReimbursement rate (%)*CHEQoL
OutpatientInpatientSPDTotalProportion (%)P valueMeanP value
Total 28.1 9.5 2.7 26.9 32.2 0.65
Level of VI
 Moderate VI29.96.42.928.128.20.0140.690.001
 Severe VI26.914.82.927.031.40.65
 Blind22.211.71.421.452.60.49
Cause of VI
 Cataract29.54.32.326.717.50.0100.760.000
 AMD26.97.60.623.951.40.72
 Vascular retinopathy24.89.41.725.237.00.67
 Glaucoma32.419.70.024.841.20.64
 Other eye diseases22.26.85.123.531.70.59
 Multiple ocular diseases31.715.53.232.135.40.56
Current living place
 Urban30.915.05.933.526.20.0000.670.450
 Rural27.99.22.526.547.60.62
Medical insurance
 None0.00.00.00.050.00.0080.640.003
 NCMS14.24.92.313.947.90.63
 URBMI24.26.94.321.625.00.81
 UEBMI35.711.32.133.530.90.63
 GMI38.514.52.638.016.70.66
 CMI26.815.47.131.421.40.49
Economic status
 Lowest15.04.73.114.754.20.0010.590.559
 Lower25.412.22.523.333.90.66
 Middle28.78.32.931.326.70.68
 Higher31.77.00.027.221.70.73
 Highest39.315.44.938.025.00.62

*Medical insurance reimbursement rate in our study was the percent of the whole year costs that is covered by insurance.

AMD, age-related macular degeneration; CHE, catastrophic healthcare expenditure; CMI, commercial medical insurance; GMI, government medical insurance; NCMS, new cooperative medical scheme; QoL, quality of life; SPD, self-purchased drug cost; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance; VI, visual impairment.

Reimbursement rate, proportion of CHE and QoL by related characteristics *Medical insurance reimbursement rate in our study was the percent of the whole year costs that is covered by insurance. AMD, age-related macular degeneration; CHE, catastrophic healthcare expenditure; CMI, commercial medical insurance; GMI, government medical insurance; NCMS, new cooperative medical scheme; QoL, quality of life; SPD, self-purchased drug cost; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance; VI, visual impairment.

Prevalence of CHE

Patients with VI paid in direct medical costs an average amount equal to 111.5% of their individual annual income and 51.9% of their household’s annual income. As shown in table 3, 32.2% of households suffered from CHE caused by VI. The prevalence of CHE was generally correlated with the severity of VI (moderate VI 28.2%, severe VI 31.4% and blindness 52.6%; p<0.05). Patients living in rural areas generally had a greater risk of CHE compared with urban residents (47.6% vs 26.2%, p<0.001). Of all of the different types of medical insurances, CHE prevalence in patients without medical insurance and insured by NCMS ostensibly outweighed those insured by GMI and CMI (none 50.0%, NCMS 47.9%, GMI 16.7% and CMI 21.4%; p<0.01). In relation to the patients’ economic status, the less wealthy patients (those with lower or the lowest economic status) were much more likely to encounter CHE than wealthier patients (p<0.01). Patients with AMD (51.4%) and glaucoma (24.8%) had a much higher risk of CHE than those with cataract (17.5%, p=0.01).

Quality of life

As shown in table 3, the value of QoL was 0.65 on average and correlated with the severity of VI (moderate VI 0.69, severe VI 0.65 and blindness 0.49; p<0.01). Middle-aged patients (51–70) had the poorest life quality (0.58, p<0.001) and patients living alone had a relatively poorer QoL than those living with family (0.58 and 0.68, p<0.01). Of all of the different types of medical insurances, the health utility values of patients insured by CMI were significantly lower than those insured by URBMI (0.49 and 0.81, p<0.01). Patients with multiple ocular diseases (0.56) had relatively poorer QoL than those with cataract (0.76) and AMD (0.72, p<0.001).

Discussion

This study provided primary information for the economic burden and QoL of Chinese patients with VI associated with ocular diseases, indicating a substantial burden of VI, with considerable variation among the different levels of VI, type of medical insurance and economic status. In our study, annual direct medical costs per patient with VI associated with ocular disease were US$4093.1 for moderate VI, US$6321.8 for severe VI and US$5453.9 for blindness, which were much lower than those in several previous studies in the USA, which reported mean annual direct medical expenses per patient to be US$12 175–US$14 029 for moderate VI, US$13 154–US$16 321 for severe VI and US$14 882–US$24 180 for blindness.12 This was understandable as the gross domestic product per capita of China was much lower than the USA in 2015 (China US$8033.4 and USA US$56 803.5).20 Direct medical costs occurred mostly due to outpatient visits, which was inconsistent with formal findings in the USA and Australia that direct medical costs occurred mostly due to hospitalisation.12 As for different diseases, AMD and glaucoma were reported to have the highest average annual direct medical costs in our study (US$8821.8 and US$7414.8), which were higher than those in studies of AMD in Thailand (US$3604),21 and glaucoma in Germany (€814–€1195), UK (€457–1065), France (€313–€1002) and Italy (€153–€791).14 22 Previous studies demonstrated that even mild VI had a significant and independent impact on vision-specific functioning23 and diminished ability to perform activities of daily living alone, which led to long-term care for patients. Therefore, it was not surprising that the highest direct non-medical costs came from long-term home care (58.5%). A possible explanation for high nutrition or assistive device costs (13.3%) in our study was that people in China were keen on buying nutrition or devices that usually advertised in the media,1 especially those visually impaired patients who rarely went out and had no other choices but to listen to TV for entertainment. Our research showed that Chinese patients with VI had a relatively high financial burden, resulting in 32.2% of households suffering from CHE. Patients with VI paid in direct costs an average amount equal to 111.5% of their individual annual income and 51.9% of their household’s annual income, which indicated that the patients themselves are clearly unable to meet such substantial costs and that the exorbitant burden was too costly for even the entire household to maintain. In particular, for households that have a lower economic status, the discrepancy between costs and income was greater, which made them more vulnerable facing the CHE. Medical insurance plays a vital role in preventing patients from CHE by assisting to cover patients’ medical expenses. However, our results showed that the average insurance reimbursement rate of Chinese patients with VI was low (26.9%) and varied greatly between different insurance schemes. Patients without medical insurance were recorded to have the highest CHE prevalence, and patients insured by NCMS, with the relatively lowest reimbursement rate,24 had a substantially higher CHE prevalence than those with the highest reimbursement rate (GMI and CMI). Patients living in rural areas, who usually had a relatively low economic status and were insured by NCMS,25 were ostensibly at a greater risk of CHE. This was the result of the ‘urban–rural dual structure’ of the medical insurance system in China,26 which showed a significant difference in coverage reimbursement scope, payment level and funding level.27 Besides, our study found that a higher severity level of VI caused higher direct costs but received a lower reimbursement rate, which resulted in a dramatically increased risk of CHE with the severity of VI. Furthermore, patients with AMD and glaucoma with a relatively low reimbursement rate had a heavier economic burden and were more likely to incur catastrophic spending. This result may be largely due to the high price of AMD treatment therapy,28 which also explains the highest fraction of outpatient costs of patients with AMD and limited drug covered by medical insurance. This situation was alleviated after the national pricing negotiations on two innovative but expensive medicines (Razumab and conbercept) in 2017, which eventually reached an average price discount of 18.74% by the pharmaceutical companies and 70% public medical insurance reimbursement rate by the Chinese government.29 Recommended management of glaucoma, which requires regular attendance of follow-up clinic visits,30 may explain the highest number of outpatient visit, inpatient visit, the longest stay per inpatient visit, as well as the high costs. In addition to the economic burden posed by VI, our study also suggested that VI had a substantial negative effect on health-related QoL. Moreover, the life quality of patients with VI (0.65) in our study was worse than patients with cancer (0.92), mild stroke (0.9), gout (0.86), heart failure (0.78) and HIV/AIDS (0.70).31 This may be largely due to the significant association between VI and mental stress, such as anxiety,32 depression9 and cognitive functions.33 Among the study population, the utility value decreased dramatically with perceived total loss of vision, which was consistent with a study in rural Africa.34 Previous studies have suggested that the utility values most highly correlated with the VA in the better seeing eye, and as the vision in the better seeing eye decreased, the corresponding utility value decreased.35 Patients with cataract reported the highest TTO utility value (0.76) than those with other diseases, especially multiocular diseases (0.56). One of the reasons for this is that cataract can be effectively treated by surgery, which is a disability-preventing and highly cost-effective intervention,36 and patients’ TTO utility value could improve significantly after cataract surgery.37 Besides, living with family could slightly enhance the life quality rather than living alone because family members were often called on to provide physical and emotional support.38 However, unlike CHE, the life quality of visually impaired patients was not associated with their wealth and patients with one of the highest reimbursement rate insurances (CMI) had the poorest life quality in our study. Thus, efforts are needed to promote the access to adequate and effective treatment for visually impaired patients to alleviate their diseases and recover their sight. Moreover, the government should evade the inconvenience with daily living of the visually impaired patients by consciously redesigning the built environment, public facilities and services. We spent 3 months in two tertiary hospitals to interview 298 individuals. Due to the limitation of movement for patients with VI in China, several limitations to this study should be noted. First, the study population is not fully representative of all the patients with VI in mainland China. Second, the face-to-face interviews were conducted in tertiary general hospitals in Beijing, which might result in a sample with higher education levels, income, treatment costs, better health insurance and more serious disease than the average level of all the patients with VI in China. Third, there could have been recall bias because the data were self-reported by the patients.

Conclusion

Our study provided primary information for the economic burden and QoL of VI associated with eye diseases of patients in China, indicating that, compared with people who were sighted, people with VI experienced greater difficulties with daily living, higher economic burden, greater chance of CHE and poorer QoL. The findings in this study suggested that preferential medical insurance policies should be designed of VI to further reduce health inequalities, avoid CHE and enhance the QoL.
  30 in total

Review 1.  Health care economic analyses and value-based medicine.

Authors:  Melissa M Brown; Gary C Brown; Sanjay Sharma; Jennifer Landy
Journal:  Surv Ophthalmol       Date:  2003 Mar-Apr       Impact factor: 6.048

2.  An estimation of the worldwide economic and health burden of visual impairment.

Authors:  Adam Gordois; Henry Cutler; Lynne Pezzullo; Keith Gordon; Alan Cruess; Steve Winyard; Wanda Hamilton; Kathleen Chua
Journal:  Glob Public Health       Date:  2011-12-05

3.  Costs of interventions for visual impairment.

Authors:  Hugh R Taylor; M Lynne Pezzullo; Sarah J Nesbitt; Jill E Keeffe
Journal:  Am J Ophthalmol       Date:  2006-12-08       Impact factor: 5.258

4.  Direct costs of glaucoma and severity of the disease: a multinational long term study of resource utilisation in Europe.

Authors:  C E Traverso; J G Walt; S P Kelly; A H Hommer; A M Bron; P Denis; J-P Nordmann; J-P Renard; A Bayer; F Grehn; N Pfeiffer; C Cedrone; S Gandolfi; N Orzalesi; C Nucci; L Rossetti; A Azuara-Blanco; A Bagnis; R Hitchings; J F Salmon; G Bricola; P M Buchholz; S V Kotak; L M Katz; L R Siegartel; J J Doyle
Journal:  Br J Ophthalmol       Date:  2005-10       Impact factor: 4.638

Review 5.  Global estimates of visual impairment: 2010.

Authors:  Donatella Pascolini; Silvio Paolo Mariotti
Journal:  Br J Ophthalmol       Date:  2011-12-01       Impact factor: 4.638

6.  The impact of the severity of vision loss on vision-specific functioning in a German outpatient population - an observational study.

Authors:  Robert P Finger; Eva Fenwick; Peggy Pei-Chia Chiang; Michael Petrak; Frank G Holz; Manjula Marella; Ecosse L Lamoureux
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-04-05       Impact factor: 3.117

Review 7.  Age-related macular degeneration: economic burden and value-based medicine analysis.

Authors:  Melissa M Brown; Gary C Brown; Joshua D Stein; Zachary Roth; Joseph Campanella; George R Beauchamp
Journal:  Can J Ophthalmol       Date:  2005-06       Impact factor: 1.882

8.  Blindness and eye diseases in Tibet: findings from a randomised, population based survey.

Authors:  S Dunzhu; F S Wang; P Courtright; L Liu; C Tenzing; K Noertjojo; A Wilkie; M Santangelo; K L Bassett
Journal:  Br J Ophthalmol       Date:  2003-12       Impact factor: 4.638

9.  The economic impact and cost of visual impairment in Australia.

Authors:  H R Taylor; M L Pezzullo; J E Keeffe
Journal:  Br J Ophthalmol       Date:  2006-03       Impact factor: 4.638

10.  Family caregiver social problem-solving abilities and adjustment to caring for a relative with vision loss.

Authors:  Jennifer K Bambara; Cynthia Owsley; Virginia Wadley; Roy Martin; Chebon Porter; Laura E Dreer
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-12-05       Impact factor: 4.799

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  2 in total

Review 1.  The economics of vision impairment and its leading causes: A systematic review.

Authors:  Ana Patricia Marques; Jacqueline Ramke; John Cairns; Thomas Butt; Justine H Zhang; Iain Jones; Marty Jovic; Allyala Nandakumar; Hannah Faal; Hugh Taylor; Andrew Bastawrous; Tasanee Braithwaite; Serge Resnikoff; Peng T Khaw; Rupert Bourne; Iris Gordon; Kevin Frick; Matthew J Burton
Journal:  EClinicalMedicine       Date:  2022-03-22

2.  Association of objective and subjective far vision impairment with perceived stress among older adults in six low- and middle-income countries.

Authors:  Louis Jacob; Karel Kostev; Lee Smith; Guillermo F López-Sánchez; Shahina Pardhan; Hans Oh; Jae Il Shin; Adel S Abduljabbar; Josep Maria Haro; Ai Koyanagi
Journal:  Eye (Lond)       Date:  2021-06-18       Impact factor: 4.456

  2 in total

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