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. 2016 Sep 30;11:1371–1378. doi: 10.2147/CIA.S112893

Older adults’ attitudes and barriers toward the use of mobile phones

Nasrin Navabi 1, Fatemeh Ghaffari 1,✉, Zahra Jannat-Alipoor 1
PMCID: PMC5053265  PMID: 27757025

Abstract

Background and objectives

The limitations caused by the process of aging and the prevalence of chronic diseases contribute to reduced performance in physical, psychological, and social areas of life in older people. The use of mobile phones as easily accessible portable tools with a high performance is associated with an increased health literacy, self-care, and independence in older people. The present study was conducted to determine older people’s attitudes toward the use of mobile phones and the barriers to their use.

Materials and methods

The present descriptive study was conducted on a sample population of 328 individuals older than 60 years presenting to health centers across cities in west Mazandaran, Iran. The data collection tools used included a mobile phone use checklist, a questionnaire on older people’s attitude toward the use of mobile phones, and a questionnaire on the barriers to the use of mobile phones. The reliability and validity of these questionnaires were confirmed by the researchers. The data obtained were recorded and then analyzed using SPSS. The level of statistical significance was set at P≤0.05.

Results

According to the results, 80% of the older people had regular mobile phones and 20% had smartphones. In 95% of the male and 80% of the female participants, the greatest use of mobile phones pertained to making phone calls. A total of 5% of the male and 2% of the female participants used the Internet in their mobile phones. A total of 44% of the female and 42.80% of the male participants had poor attitudes (score from 0 to 40) toward mobile phone use. As for the different dimensions of the attitude toward mobile phone use, the highest score obtained by the female participants (71.66%) pertained to the psychoemotional dimension and the highest score in the male participants (72.85%) to the instrumental dimension. The results also revealed the lack of knowledge of English as the greatest barrier to mobile phone use in both sexes. There was a significant relationship between sex and the attitude toward mobile phone use in all the three dimensions examined, the sociocultural, psychoemotional, and instrumental.

Discussion and conclusion

The results of the study revealed that the majority of older people have negative attitudes toward the use of mobile phones as a teaching aid, although they used them for performing daily tasks. Promoting this age group’s knowledge about the different mobile phone applications available to help them and increasing their ability to learn the use of these applications through the mass media, family members, and peer groups can help improve older people’s attitudes toward the use of mobile phones and thus increase their use of these devices.

Keywords: attitude, mobile phone, barriers to use, older people

Introduction

Old age is predicted to be the main anthropological phenomenon of the late 21st century,1 as the world’s population is aging and the number of older people is expected to reach 2 billion by 2050.2 According to the 2011 statistics, older people make up 8.20% of Iran’s population and elderly people make up 67% of the Mazandaran province’s population (3,338,921).3 This growing population needs to be trained to protect and promote its independence and enhance its self-care skills and self-efficacy. Training older people in a variety of topics including nutrition, social activities, and sports can improve their health status and prevent old age disabilities. Due to the numerous problems faced by older people, training can play a major role in enhancing their well-being and quality of life.4 In the third millennium, traditional training is replaced by e-learning.5 Self-education is an integral part of e-learning.6 Mobile phones provide an e-learning tool that is accessible at any time and any place and can serve as a teaching aid to everyone, especially to older people.7,8 In older people, the use of these devices entails advantages such as increased social interaction, diminished feelings of loneliness,6 and entertainment.9 Some of the problems commonly faced by older people include dementia, social isolation, reduced performance, and weakness in performing daily activities. For example, older people with Alzheimer’s disease can refresh their memory by looking at pictures of events from the last 5 minutes on their mobile phone.10 Studies show that using mobile phones can enhance older people’s ability in different physical, mental, and social dimensions of life through increasing their knowledge, facilitating their communication with friends, receiving emotional support, and enabling their participation in social networks.11

Training older patients on the use of different applications is associated with improved effectiveness, coordination, and time management.12 These applications can also teach different things such as the proper use of drugs and their side effects, setting the next doctor’s appointment, documenting health needs and measures, and enabling membership in social networks of peers.4 Studies suggest that older people with chronic diseases who also suffer from the particular physiological problems associated with aging such as reduced mobility can increase their quality of life through using the Internet for communication.13 Nevertheless, there are barriers to older people’s use of mobile phones, including technological, sociocultural, and economic barriers.14 For instance, due to learning problems or poor learning memory, handling the variety of mobile applications available on advanced mobile phones is a major concern for older people using mobile phones.15,16 Due to the growing population of older people, efforts directed at promoting their health should be further prioritized by authorities;16,17 so the current study is done to find the answer for “how is elderlies attitude toward using mobile phones and the main functional barriers of using them?”.

Materials and methods

This was a cross-sectional study.

Sample

This study was conducted on a sample population of all the individuals older than 60–70 years presenting to health centers across cities in west Mazandaran, Iran, including Chalous, Noshahr, Tonekabon, and Ramsar. Each of the counted cities has one governmental hospital and three to four health centers, to which the researchers have visited individually and selected their samples according to the convenience sampling method. Every sample took 30–40 minutes for filling the questionnaires. The study inclusion criteria consisted of not suffering from visual or auditory impairment, having a mobile phone, dementia, and psychotic disorders according to his or her medical records. The sample size was calculated as 328 based on a study conducted by Dutton and Blank in 201118 and using the sample size formula with a confidence coefficient of 95% and d=0.05. Ethical permission was obtained from the ethics committee of Babol University of Medical Sciences, and the selected older people submitted their written informed consent forms once they were briefed on the study objectives. Among the limitations, it is necessary to mention the low number of samples between 66 and 70 who have got a mobile phone. Data were then collected using the following tools:

Data collection

  1. A demographic questionnaire: type of mobile phone (regular or smartphone), age, sex, level of education, occupation, etc.

  2. Mobile phone use checklist: this checklist has been edited according to the following two parts:
    • Accessible mobile phone applications for elderlies in Iran.
    • Functional mobile phone applications.
      The way of answering the questions has been yes or no.

  3. A questionnaire on older people’s attitude toward the use of mobile phones: To design this instrument, the researcher performed a review of literature and conducted ten individual interviews with older people. The interviews were held using semistructured questions such as “What is your attitude toward the use of mobile phones as a teaching aid?” and “What role do mobile phones have in shaping your social identity?” The first pool of questions included 30 items, 24 of which were approved after their face and content validities were examined by ten faculty members with an experience in e-learning. The questionnaire evaluated older people’s attitude toward the use of mobile phones in three dimensions, the sociocultural, psychoemotional, and instrumental, and was scored based on a 5-point Likert scale (from strongly agree to strongly disagree). The reliability of the questionnaire was assessed using the test–retest method. The scores obtained ranged from zero to 120. Obtaining a score of 0–40 on the questionnaire indicates a negative and unfavorable attitude toward mobile phone use, while obtaining a score of 41–80 indicates a somewhat favorable or average attitude and a score of 81–120 a highly favorable and excellent attitude.

  4. A questionnaire on the barriers to the use of mobile phones: to design this instrument, the researcher performed a review of literature and conducted eight individual interviews with older people. Data were collected through semistructured interviews held with questions such as “What do you think are the barriers to mobile phone use among older people?” and “What causes you not to use different applications on your mobile phone?” The first pool of questions included 14 items, eleven of which were approved after their face and content validities were examined by ten faculty members with an experience in e-learning. The reliability of the questionnaire was assessed using the test–retest method (r=0.89). To complete the questionnaire, the researchers asked the older adults to assign priorities to the barriers they perceived to mobile phone use. The items were then classified from 1 to 11 according to the given priorities.

Analysis

Researchers controlled each form at the step of filling the questionnaire in order to reduce the number of missed questions and being sure about the participant’s correct understanding of each question. There were only two useless questionnaires that were omitted, and that is why the number of samples has been reduced to 328 people; hence, sample attrition and the loss of information have got the minimum number.

The data obtained were analyzed using SPSS-18. The mean and the median were calculated, and then Student’s t-test and chi-squared (χ2) test examinations were applied to identify a meaningful relationship between our variables and elderlies’ attitudes toward using mobile phones and their barriers. The level of statistical significance was set at P≤0.05.

Results

The results obtained showed that 55% of the female and 62% of the male participants were retired. A total of 85% were married, 60% had below high school education, 80% had regular mobile phones, and 20% had smartphones. In 65% of the cases, the older people’s children had motivated them to buy a mobile phone. Only 6% of the participants browsed the web to find the answer to their health questions and 94% preferred to find the answer to their questions in person by visiting family members and friends as well as health care providers.

The results also showed the greatest use of mobile phones in both cases (Table 1).

Table 1.

The percentage of mobile phone usage in the elderly

Question Men
Women
Yes
No
Yes
No
Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent
Calling others 131 80 32 20 155 95 8 5
Sending text messages 82 50 82 50 123 75 24 15
Using social networks such as Viber 13 8 151 92 16 10 148 90
Using the radio of mobile phones 7 4 157 96 – – 164 100
Using mobile phones to record voices 17 10 147 90 20 12 144 88
Recording voices and images 10 6 154 94 13 8 151 92
Taking photos 33 20 131 80 20 12 144 88
Using the note of mobile phones 4 2 160 98 0 – 164 100
Using the alarm to alert a specific time 33 20 131 80 8 5 156 95
such as drug use
Using training software in mobile phones 5 3 159 97 – – 164 100
Using the applications of mobile phones 20 12 144 88 – – 164 100
such as calculators and convertors
Using the clock of mobile phones 2 1 162 99 – – 164 100
Using the calendar of mobile phones – – 164 100 – – 164 100
Using the navigation of mobile phones – – 164 100 – – 164 100
Using the Internet 8 5 156 95 3 2 161 98
Using for bank tasks 18 11 146 89 3 2 161 98
Using the mobile phone games – – 164 100 – – 164 100
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Note: “–” Indicates data not available.

A total of 44% of the female and 42.80% of the male participants had unfavorable attitudes toward the use of mobile phones. As for the different dimensions of the attitude toward mobile phone use, the highest score obtained by the female participants (71.66%) pertained to the psychoemotional dimension and the highest score in the male participants (72.85%) to the instrumental dimension (Table 2).

Table 2.

The elderlies’ attitudes toward the use of mobile phones

Items in each area Negative or unfavorable attitude
Average and somewhat favorable
Favorable or high attitude
Woman
Man
Woman
Man
Woman
Man
Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent Absolute frequency Percent
Social-cultural
 A means of identity and position in society 16 10 131 79 23 13 16 9 125 76 16 9
 Facilitating the relationships with others 41 25 94 57 46 27 46 28 77 47 24 14
 A means to find the address 144 88 90 55 13 8 37 23 7 4 37 21
 The best means for obtaining news 5 3 16 10 13 8 41 25 146 89 107 65
 Coordinator of daily programs 3 2 107 65 2 1 21 13 159 97 36 22
 A means of controlling relatives and close people 44 27 75 45 51 31 46 28 69 42 43 26
Psychological-emotional
 Friend and companion 27 15 151 92 49 30 8 5 90 55 5 3
 A means to fill the loneliness and leisure time 8 5 107 65 30 18 21 13 126 77 36 22
 A means of entertainment such as games and paintings 33 20 8 5 8 5 74 45 123 75 82 50
 A means to stay in fashion 10 6 89 54 21 13 13 8 133 81 62 38
 Obtaining safety 25 15 131 80 41 25 23 14 98 60 10 6
 Part of a social character 8 5 102 62 21 13 11 7 134 82 51 31
Instrumental
 Calendar with users 156 95 13 8 5 3 3 2 3 2 115 70
 Training aid 149 91 54 33 10 6 28 17 5 3 74 45
 Sport training means for calculating time of athletic performance 148 90 148 25 41 8 20 12 3 2 103 63
 Calculator 151 92 25 15 8 5 34 21 5 3 105 64
 Auxiliary tool for banking 159 97 5 3 2 1 15 9 3 2 144 88
 Clock 154 94 5 3 8 5 16 10 2 1 143 87
 Television and radio 159 97 4 3 3 2 7 4 2 1 153 93
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The results obtained showed a significant relationship between sex and the attitude toward mobile phone use in all the three dimensions, namely the sociocultural, psychoemotional, and instrumental dimensions. The chi-square values obtained in the sociocultural, psychoemotional, and instrumental dimensions were 8.01, 9.9, and 13.85, in respective order. All the values were larger than the chi-square values in the table with a degree of freedom of 2 (2.92) and a confidence level of 0.95. These findings support the hypothesis that a significant relationship exists between sex and the attitude toward mobile phone use in older people (Table 3).

Table 3.

The relationship between sex and the dimensions of the attitude toward mobile phone use in the statistical population

Attitude classification Unfavorable or negative Average and somewhat favorable Favorable Level of significance
Attitude dimension SD ± mean Mean ± SD Mean ± SD
Psychoemotional
 Female 136±0.17 0.91±0.11 3.2±0.4 P≤0.05
 Male 0.46±3.04 0.27±1.21 0.18±1.46 X=9.9
Sociocultural
 Female 0.80±0.64 0.20±1.006 0.61±4.21 P≤0.05
 Male 0.58±3.48 0.05±0.46 0.2±1.4 X=8/01
Instrumental
 Female 0.9±6.29 0.02±0.2 0.03±0.14 P≤0.05
 Male 0.12±0.9 0.13±0.9 0.6±5.1 X=13/85
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The results also revealed the lack of knowledge of English as the greatest barrier to mobile phone use in both sexes. The second greatest barrier to mobile phone use was the inability to upgrade the mobile software or make other software changes in the female participants and being costly in the male participants (Table 4).

Table 4.

Percentage of mobile usage barriers from older people’s perspective

No Items Women
Men
Frequency Percent Frequency Percent
1 Being costly 139 85 159 95
2 Reducing the possibility of face to face interaction 115 70 131 80
3 Possible hazards such as tumors, headaches, etc. 66 40 123 75
4 Learning delays and reduced learning 110 67 115 70
5 Mistake in choosing the key or written and tactile commands for mobile phones (especially on the touch screen) 98 60 89 54
6 Reducing the personal border preservation such as a person’s privacy (openness of mobile windows, losing it, etc.) 107 65 74 45
7 Inability in upgrading mobile phones and software changes 144 88 57 35
8 Being afraid of filling the phone’s memory (inability to empty messages, etc.) 71 43 49 30
9 Sending wrong written instructions because of the speed and touch of writing in motion 57 35 34 21
10 No Internet access 33 20 30 18
11 Lack of familiarity with English 161 98 162 99.30
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Discussion

The results obtained showed that the greatest use of mobile phones in both sexes pertains to making phone calls and sending text messages and the least to using the Internet. In a study by Lelkes,19 the main reasons for older people’s failure to use the Internet on their mobile phones included low levels of literacy, disrupted mobility, delayed learning, and forgetfulness.19 Studies have reported ten factors to affect the use of technology by older people, including awareness about the value of technology use, the price of the devices, accessibility, technical support, social support, feelings, individual independence, experience, and self-confidence. In general, older people with psychological problems and a poor independence do not have good prospects for using technologies and buying devices.20,21 In a study by Gatto and Tak,22 47% of individuals aged >65 years were found to benefit from online shopping and banking. In a study by Hill et al,23 6% of older people visited Internet cafes to access the web.

The results of the present study showed that the majority of the participants had unfavorable attitudes toward mobile phone use. Other studies show that older people have a generally negative attitude toward the use of mobile phones due to technology anxiety and the fear of working with new devices. For example, aging tends to make the selection of a specific button on the mobile phone difficult or make the use of mobile applications confusing and thus creates anxiety in the older adult. Fear of cyber victimization, reduced face-to-face interactions, and receiving spam email are some of the other factors contributing to the negative attitudes toward mobile phone use among older people.24,25 In a study conducted by Feist et al,26 individuals aged >79 years reported that learning to work with a new technology was difficult for them. This problem was also observed in 22% of the 65- to 69-year-old individuals examined. Older people’s interest in using new technologies appears to have diminished. Dutton and Blank27 reported poor attitudes in older people toward using the web due to reasons such as previous experiences with mobile viruses and data loss and the inability to cope with these difficulties. Positive attitudes toward mobile phone use can be instilled in older people through encouraging them to use and adapt to advanced technologies,28 raising their awareness about the availability of mobile phones and their potential for improving communication with sources of emergency help and routine assistance, security, and psychological ease.29

The attitude scores obtained in the present study were lower in females than in males, which is consistent with the findings of a study conducted in 2015 by Masoudnia;30 however, no differences were observed between the sexes in terms of learning to use mobile phones and their application.31

The results also showed that the lack of knowledge of English is the greatest barrier to mobile phone use in both sexes. The elderlies who were among our study mostly did not have an academic degree and that is why they counted English language as a barrier of using their mobile phones since even installing a simple application needs a little knowledge of English for following correct steps. Peek24 reported a group of factors such as technological knowledge as effective in the use of technology. In other studies, the barriers to mobile phone use in older people included mobility problems such as hand tremors when using a touch screen and delays in deciding on which icons to choose on the screen.32 The other barriers included the prolonged search for icons and difficulty identifying them, physical problems, font type and color, low voice quality, quickly forgetting the points learnt, problems in learning, rapid technological changes, and the need to update the software and applications.33 Takahashi et al34 reported being untrained in fields of technology as an inhibiting factor of technology use among older people. Since the use of mobile phones and the facilities they provide requires a certain degree of technological knowledge, older people can also be encouraged to use mobile phones through installing applications tailored to their language and through introducing them to mobile phones with larger screens. Mobile phone designers and producers should produce some with large buttons, autoupdating applications, functional self-translating orders, and steps besides putting visual guides in order to let even elderlies have a pleasant experience of using mobile phones.

Conclusion

The results of the study revealed that the majority of older people have negative attitudes toward the use of mobile phones as a teaching aid, although they used them for performing daily tasks. Promoting this age group’s knowledge about the various mobile phone applications available to help them and increasing their ability to use applications through the mass media, family members, and peer groups can help improve older people’s attitudes toward the use of mobile phones and thus increase their actual use of these devices.

Acknowledgments

The present study was approved by the ethics committee of Babol University of Medical Sciences under No 3705. The authors would like to express their gratitude to all the older people who helped conduct the study.

Footnotes

Author contributions

All authors contributed toward data analysis, drafting and critically revising the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

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