Willingness of women with pelvic floor disorders to use mobile technology to communicate with their health care providers
Open accessAbstract
OBJECTIVES: The aim of this study was to assess willingness of women with pelvic floor disorders to adopt nontraditional mobile communication methods with health care providers. METHODS: This is a cross-sectional study of women with pelvic floor disorders. Women completed a survey regarding what technology they owned, how they utilized it, and their willingness to use technology to communicate with providers. RESULTS: Overall mobile technology ownership was high; however, older women were significantly less likely to own a smartphone (75%) compared with younger (100%) and middle-aged women (98%; P < 0.01). On univariable analysis, factors significantly associated with willingness to use mobile technology were age (P < 0.01) and education status (P < 0.01). A relationship between travel distance to the clinic and willingness to adopt various mobile technologies was not noted. On multivariable analysis, after controlling for education and travel distance to clinic, older women remained significantly less likely to express willingness to use various technologies: video-conference technology (odds ratio [OR], 0.97; 95% confidence interval [CI], 0.95-0.99), text messaging (OR, 0.94; 95% CI, 0.91-0.97), Internet-based patient portal (OR, 0.96; 95% CI, 0.94-0.98), and e-mail (OR, 0.94; 95% CI, 0.91-0.98). However, almost 50% of older women and greater than 65% of middle-aged women expressed willingness to adopt technologies for health care communication. CONCLUSIONS: Age-related differences exist in the ownership, utilization, and willingness to communicate with medical providers through mobile technology. However, the majority of women across all age-groups, irrespective of travel distance, are willing to adopt alternative mobile technologies to communicate with their health care providers.
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- Findingown data
After controlling for education and travel distance, older age remained significantly associated with lower willingness to use an internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98).
“On multivariable analysis, after controlling for education and travel distance to clinic, older women remained significantly less likely to express willingness to use various technologies: video-conference technology (OR 0.97, 95% CI 0.95, 0.99), text messaging (OR 0.94, 95% CI 0.91, 0.97), internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98) and e-mail (OR 0.94, 95% CI 0.91, 0.98).”
- Also stated in: § Results · plain
“Older women were significantly less likely to express willingness to use video-conference technology (OR 0.97, 95% CI 0.95, 0.99, p = 0.01), text messaging (OR 0.94, 95% CI 0.91, 0.97, p < 0.001), Internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98, p = 0.001) and e-mail (OR 0.94, 95% CI 0.91, 0.98, p = 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
After controlling for education and travel distance, older age remained significantly associated with lower willingness to use e-mail (OR 0.94, 95% CI 0.91, 0.98).
“On multivariable analysis, after controlling for education and travel distance to clinic, older women remained significantly less likely to express willingness to use various technologies: video-conference technology (OR 0.97, 95% CI 0.95, 0.99), text messaging (OR 0.94, 95% CI 0.91, 0.97), internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98) and e-mail (OR 0.94, 95% CI 0.91, 0.98).”
- Also stated in: § Results · plain
“Older women were significantly less likely to express willingness to use video-conference technology (OR 0.97, 95% CI 0.95, 0.99, p = 0.01), text messaging (OR 0.94, 95% CI 0.91, 0.97, p < 0.001), Internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98, p = 0.001) and e-mail (OR 0.94, 95% CI 0.91, 0.98, p = 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
After controlling for education and travel distance, older age remained significantly associated with lower willingness to use text messaging (OR 0.94, 95% CI 0.91, 0.97).
“On multivariable analysis, after controlling for education and travel distance to clinic, older women remained significantly less likely to express willingness to use various technologies: video-conference technology (OR 0.97, 95% CI 0.95, 0.99), text messaging (OR 0.94, 95% CI 0.91, 0.97), internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98) and e-mail (OR 0.94, 95% CI 0.91, 0.98).”
- Also stated in: § Results · plain
“Older women were significantly less likely to express willingness to use video-conference technology (OR 0.97, 95% CI 0.95, 0.99, p = 0.01), text messaging (OR 0.94, 95% CI 0.91, 0.97, p < 0.001), Internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98, p = 0.001) and e-mail (OR 0.94, 95% CI 0.91, 0.98, p = 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Older women with pelvic floor disorders were significantly less likely to own a smartphone (75%) than younger (100%) and middle-aged (98%) women (p < .01).
“Overall mobile technology ownership was high; however, older women were significantly less likely to own a smart phone (75%) compared to younger (100%) and middle-aged women (98%) (p < .01).”
Quote in the paperNot a substantial claim - Findingown data
On univariable analysis, education status was significantly associated with willingness to use mobile technology (p < .01).
“On univariable analysis, factors significantly associated with willingness to use mobile technology were age (p < .01) and education status (p < .01).”
Quote in the paperNot a substantial claim
- Findingown data
On univariable analysis, age was significantly associated with willingness to use mobile technology (p < .01).
“On univariable analysis, factors significantly associated with willingness to use mobile technology were age (p < .01) and education status (p < .01).”
Quote in the paperNot a substantial claim - Findingown data
Travel distance to the clinic was not associated with willingness to adopt various mobile technologies.
“A relationship between travel distance to the clinic and willingness to adopt various mobile technologies was not noted.”
- Also stated in: § Results · plain
“We did not observe any relationship between the distance traveled from the participant’s home to the clinic and their willingness to use various mobile communication technologies (video-conference technology p-value = 0.08, text messaging p-value = 0.21, e-mail p-value = 0.80).”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
Among women with pelvic floor disorders, overall ownership of mobile technology was high.
“Overall mobile technology ownership was high; however, older women were significantly less likely to own a smart phone (75%) compared to younger (100%) and middle-aged women (98%) (p < .01).”
- Also stated in: § Results · plain
“In our population of 200 women with pelvic floor disorders, the overall ownership of mobile technology was high, with smartphones (92%) being the most popular device followed by computers (81%) and tablet devices (63%).”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
After controlling for education and travel distance, older age remained significantly associated with lower willingness to use video-conference technology (OR 0.97, 95% CI 0.95, 0.99).
“On multivariable analysis, after controlling for education and travel distance to clinic, older women remained significantly less likely to express willingness to use various technologies: video-conference technology (OR 0.97, 95% CI 0.95, 0.99), text messaging (OR 0.94, 95% CI 0.91, 0.97), internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98) and e-mail (OR 0.94, 95% CI 0.91, 0.98).”
- Also stated in: § Results · plain
“Older women were significantly less likely to express willingness to use video-conference technology (OR 0.97, 95% CI 0.95, 0.99, p = 0.01), text messaging (OR 0.94, 95% CI 0.91, 0.97, p < 0.001), Internet-based patient portal (OR 0.96, 95% CI 0.94, 0.98, p = 0.001) and e-mail (OR 0.94, 95% CI 0.91, 0.98, p = 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Women with higher education level were significantly more likely to express willingness to communicate via e-mail (OR 3.73, 95% CI 1.61, 8.67, p=0.002).
“Women with higher education level were significantly more likely to express willingness to communicate via video-conference technology (OR 2.14, 95%CI 1.15, 3.97, p = 0.02) and e-mail (OR 3.73, 95%CI 1.61, 8.67, p = 0.002).”
Quote in the paperSubstantial claim - Findingown data
Ownership of at least one mobile technology device was greater than 75% within each age group.
“Older women were less likely to own mobile technology compared to young and middle-aged women; however, while older women were significantly less likely to own a smart phone, ownership within each age group was greater than 75%.”
- Also stated in: § Discussion · plain
“Though older women with pelvic floor disorders own mobile technology at lower rates than younger women, ownership of at least one mobile technology device was 75% in this age-group.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Older women were significantly less likely than young and middle-aged women to express willingness to communicate with healthcare providers through mobile technology (video-conference p=0.02, Internet-based patient portal p=0.01, e-mail p=0.001, text message p<0.001).
“Older women were also significantly less likely than young and middle-aged women to express willingness to communicate with their healthcare providers through mobile technology (video-conference technology p-value = 0.02, Internet-based patient portal p-value = 0.01, e-mail p-value = 0.001 and text message p-value < 0.001.) (Figure 1).”
Quote in the paperNot a substantial claim - Findingown data
Utilization of mobile technology functionalities was lower in older women, followed by middle-aged and younger women.
“Utilization of the various functionalities of mobile technology followed a similar trend, with older women being on the lower end of the utilization spectrum followed by middle-aged and younger women.”
Quote in the paperNot a substantial claim - Findingown data
Even after controlling for education level, older age was significantly associated with decreased willingness to use alternative technologies.
“Even after controlling for education level, older age was significantly associated with a decreased willingness to use alternative technologies.”
Quote in the paperSubstantial claim - Findingown data
More than 66% of women expressed willingness to communicate with providers via alternative communication methods beyond the telephone.
“Greater than 66% of women expressed a willingness to communicate with their providers via alternative communication methods beyond the telephone.”
Quote in the paperSubstantial claim - Findingown data
College graduates were more likely to express willingness to use e-mail (OR 4.21, 95% CI 1.88, 9.42, p<0.001).
“College graduates were more likely to express willingness to use mobile communication across all alternative technologies. The odds ratio for willingness to use video-conference technology was 2.33 (95%CI 1.28, 4.24, p-value = 0.006), for text messaging 2.58 (95%CI 1.23, 5.42, p-value = 0.012) and for e-mail 4.21 (95%CI 1.88, 9.42, p-value <0.001).”
Quote in the paperNot a substantial claim - Findingown data
Women with higher education level were significantly more likely to express willingness to communicate via video-conference technology (OR 2.14, 95% CI 1.15, 3.97, p=0.02).
“Women with higher education level were significantly more likely to express willingness to communicate via video-conference technology (OR 2.14, 95%CI 1.15, 3.97, p = 0.02) and e-mail (OR 3.73, 95%CI 1.61, 8.67, p = 0.002).”
Quote in the paperSubstantial claim - Findingown data
College graduates were more likely to express willingness to use text messaging (OR 2.58, 95% CI 1.23, 5.42, p=0.012).
“College graduates were more likely to express willingness to use mobile communication across all alternative technologies. The odds ratio for willingness to use video-conference technology was 2.33 (95%CI 1.28, 4.24, p-value = 0.006), for text messaging 2.58 (95%CI 1.23, 5.42, p-value = 0.012) and for e-mail 4.21 (95%CI 1.88, 9.42, p-value <0.001).”
Quote in the paperNot a substantial claim - Findingown data
On multivariable logistic regression, age and education level remained significantly associated with willingness to use alternative technologies.
“On multivariable logistic regression, factors that remained significantly associated with willingness to use alternative technologies were age and education level.”
Quote in the paperSubstantial claim - Findingown data
College graduates were more likely to express willingness to use video-conference technology (OR 2.33, 95% CI 1.28, 4.24, p=0.006).
“College graduates were more likely to express willingness to use mobile communication across all alternative technologies. The odds ratio for willingness to use video-conference technology was 2.33 (95%CI 1.28, 4.24, p-value = 0.006), for text messaging 2.58 (95%CI 1.23, 5.42, p-value = 0.012) and for e-mail 4.21 (95%CI 1.88, 9.42, p-value <0.001).”
Quote in the paperNot a substantial claim - Findingown data
Older women were less likely to own mobile technology compared to young and middle-aged women.
“Older women were less likely to own mobile technology compared to young and middle-aged women; however, while older women were significantly less likely to own a smart phone, ownership within each age group was greater than 75%.”
Quote in the paperNot a substantial claim - Study design and conductown data
The study had a wide age range of respondents.
“A strength of our study is the wide age range of respondents to our survey.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
There is a potential for sampling bias because study participants only included women already seeking care for pelvic floor disorders; women unable to attend clinic for mobility or access issues were not surveyed.
“Additionally, there is a potential for sampling bias due to the fact that study participants only included women who were already seeking care for their pelvic floor disorders. Women who are unable to attend clinic for either mobility or access to care issues were not surveyed.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The study is limited by the fact that survey respondents were patients seen at urban and suburban clinics of a tertiary academic medical center, and technological demographics of rural or non-academic practices may differ.
“Our study is limited by the fact that survey respondents were patients seen at urban and suburban clinics of a tertiary academic medical center. It is possible that the technological demographics of a rural or non-academic clinical practice may differ.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Approaching all patients regardless of chief complaints and familiarity with technology helped decrease selection bias.
“All patients regardless of their chief complaints and familiarity with technology were approached to complete the study which helped to decrease selection bias.”
Quote in the paperNot a substantial claim - Interpretationown data
High ownership and utilization of mobile technology among women with pelvic floor disorders suggests that telemedicine is technologically feasible at least at the users' end in FPMRS.
“Our finding that ownership and utilization of mobile technology in women with pelvic floor disorders is high suggests that telemedicine is technologically feasible, at least at the users’ end in FPMRS.”
Quote in the paperSubstantial claim - Premisecitation
Prior studies show that older adults are more likely to use technology adapted to accommodate age-related changes in audio-visual perception, motor and cognitive abilities.
“Prior studies show that older adults are more likely to use technology that has been adapted to accommodate age-related changes in audio-visual perception, motor and cognitive abilities.24”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24]
Not checked in the free run.
- Interpretationown data
Age-related differences exist in ownership, utilization, and willingness to communicate with medical providers through mobile technology.
“Age-related differences exist in the ownership, utilization, and willingness to communicate with medical providers through mobile technology.”
- Also stated in: § Discussion · hedged
“Age related differences do exist and older women with pelvic floor disorders may require training and use of technology that has been adapted to their needs.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Interpretationown data
Women with pelvic floor disorders across all age groups have high capability of using mobile technology to communicate with their health care providers.
“In conclusion, our study shows that women with pelvic floor disorders across all age groups have high capability of using mobile technology to communicate with their health care providers.”
Quote in the paperSubstantial claim
- May combine two claims. 14
- The quote only partly states this claim. 4
- Classified as probably not a substantial claim. 11
May combine two claims.
Findingown dataUtilization of mobile devices for text messaging and e-mail in daily life was high across all age groups, though younger women were more likely than older women to use technology for video-chats and tracking health-related information.
“The utilization of mobile devices for text messaging and e-mail in daily life was high across all age groups, though younger women were more likely than older women to use technology for video-chats and tracking health-related information.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAmong the 200 women with pelvic floor disorders, ownership rates were 92% for smartphones, 81% for computers, and 63% for tablets.
“In our population of 200 women with pelvic floor disorders, the overall ownership of mobile technology was high, with smartphones (92%) being the most popular device followed by computers (81%) and tablet devices (63%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThough 75% of older women owned some kind of mobile technology, they were significantly less likely than younger women to express willingness to use such technology to communicate with their health care providers.
“Though 75% of older women owned some kind of mobile technology, they were significantly less likely than younger women to express willingness to use such technology to communicate with their health care providers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAlmost 50% of older women and more than 65% of middle-aged women expressed willingness to adopt technologies for health care communication.
“However, almost 50% of older women and greater than 65% of middle-aged women expressed willingness to adopt technologies for health care communication.”
- Also stated in: § Results · plain
“However, almost 50% of older women and greater than 65% of middle-aged women were willing to use alternative mobile communication technologies.”
Quote in the paperSubstantial claim- Also stated in: § Results · plain
May combine two claims. The quote only partly states this claim.
Findingown dataThe majority of women were capable of sending text messages (93%), taking pictures (94%), taking videos (86%), and using video-conference technology such as FaceTime and Skype (71%).
“The majority of women were capable of sending text messages (93%), taking pictures (94%) and videos (86%) with their mobile devices, and using video-conference technology such as FaceTime and Skype (71%).”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataMore than 90% of older women reported owning a smartphone, but only 49% were willing to communicate using video-conferencing and only 20% reported using health care tracking devices, compared to 63% and 78% in middle-aged and younger age groups.
“Even though more than 90% older women reported owning a smart phone, only 49% were willing to communicate using video-conferencing and only 20% reported using health care tracking devices as compared to 63% and 78% in middle-age and younger age groups.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataMore than 95% of all women and greater than 75% of older women reported experience in sending emails, text messages, or pictures.
“Furthermore, women with pelvic floor disorders were highly familiar with using technology, with more than 95% of all women and greater than 75% of older women reporting experience in sending emails, text messages or pictures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWomen who lived within 3 miles of the office expressed greater than 80% willingness to communicate via video-conference, e-mail, or text messaging; willingness was greater than 62% among women 3-10 miles away and greater than 59% among those more than 10 miles away.
“Even women who lived within 3 miles of the office expressed a greater than 80% willingness to communicate with their health care provider via video-conference, e-mail or text messaging, while this willingness was greater than 62% among women who lived between 3 and 10 miles, and greater than 59% in those who lived more than 10 miles away from the office.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWillingness to use mobile technology to communicate with health care providers was significantly associated with age and education level but not with travel distance to the clinic.
“Willingness to use mobile technology to communicate with health care providers was significantly associated with age and education level but not with travel distance to the clinic.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTelemedicine programs provide additional emotional and clinical support for patients with chronic medical conditions following hospital discharge.
“Telemedicine programs have been shown to decrease patient and family anxiety, increase patient engagement in care, and provide additional emotional and clinical support for patients with chronic medical conditions following discharge from the hospital.1–5”
Quote in the paperNot a substantial claim0 of 5 sources checkedMay combine two claims.
InterpretationreasoningAge-related differences exist and older women with pelvic floor disorders may require training and use of technology adapted to their needs.
“Age related differences do exist and older women with pelvic floor disorders may require training and use of technology that has been adapted to their needs.”
Quote in the paperSubstantial claim- Rests on an assumption: Older adults benefit from orientation to technology and hands-on training.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA robust telemedicine program can increase efficiency of care, expand access to care, and increase patient satisfaction in the outpatient setting.
“A robust telemedicine program has the ability to increase efficiency of care, expand access to care and increase patient satisfaction in the outpatient setting.6–10”
Quote in the paperNot a substantial claim0 of 5 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe ownership and utilization patterns of technology in this study are similar to national trends documented by the Pew Research Center.
“However, the ownership and utilization patterns of technology seen in our study are similar to national trends documented by the Pew Research Center.15”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe survey used in this study was modified from the Mobile Health and Cell Phone Activities surveys by the Pew Research Center.
“This survey was modified from the Mobile Health and Cell Phone Activities surveys by the Pew Research Center.19,20”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [19]
Not checked in the free run.
- cites [20] source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningA telemedicine program that effectively allows women with pelvic floor disorders to communicate with their health care providers has the potential to increase patient satisfaction and reduce caregiver burden.
“A telemedicine program that effectively allows women with pelvic floor disorders to communicate with their health care providers has the potential of increasing patient satisfaction and reducing caregiver burden.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTelemedicine programs have been shown to decrease patient and family anxiety.
“Telemedicine programs have been shown to decrease patient and family anxiety, increase patient engagement in care, and provide additional emotional and clinical support for patients with chronic medical conditions following discharge from the hospital.1–5”
Quote in the paperNot a substantial claim0 of 5 sources checkedThe quote only partly states this claim.
Interpretationown dataThe majority of women across all age groups, irrespective of travel distance, are willing to adopt alternative mobile technologies to communicate with their health care providers.
“However, the majority of women across all age-groups, irrespective of travel distance, are willing to adopt alternative mobile technologies to communicate with their health care providers.”
- Also stated in: § Discussion · hedged
“Finally, women’s willingness to adopt such technology was independent of their distance from the clinic, suggesting that if telemedicine ports are established in FPMRS clinics, adoption of telemedicine among women with pelvic floor disorders is likely to be high.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · hedged
May combine two claims.
Interpretationown dataWomen's willingness to adopt mobile technology was independent of distance from the clinic, suggesting that adoption of telemedicine among women with pelvic floor disorders is likely to be high if telemedicine ports are established in FPMRS clinics.
“Finally, women’s willingness to adopt such technology was independent of their distance from the clinic, suggesting that if telemedicine ports are established in FPMRS clinics, adoption of telemedicine among women with pelvic floor disorders is likely to be high.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study had a missing data rate of 2% for 4 subjects who did not provide information on race and employment status.
“Our missing data rate was 2% for 4 subjects who did not provide information on race and employment status.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTelemedicine programs have been shown to increase patient engagement in care.
“Telemedicine programs have been shown to decrease patient and family anxiety, increase patient engagement in care, and provide additional emotional and clinical support for patients with chronic medical conditions following discharge from the hospital.1–5”
Quote in the paperNot a substantial claim0 of 5 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationA judicious implementation of telemedicine modalities can enhance the patient experience by improving overall communication.
“A judicious implementation of telemedicine modalities can enhance the patient experience by improving overall communication.10–12”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationMany older women with pelvic floor disorders, especially those with urinary and fecal incontinence, have limited mobility, which increases their dependence on caregivers to travel to providers' offices.
“Many older women with pelvic floor disorders, especially those with urinary and fecal incontinence, also suffer from limited mobility, thus increasing their dependence on caregivers to travel to their providers’ office.13,14”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDesign elements such as larger font size, increased color contrast, and minimal steps improve usability of technology in older individuals.
“Design elements such as larger font size, increased color contrast and minimal steps to achieve tasks improve usability of technology in older individuals.24”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior studies suggest that adults are willing to adopt mobile technology in their daily lives.
“Though prior studies suggest that adults are willing to adopt the use of mobile technology in their daily lives, precise estimates of ownership and willingness to use mobile technology for health care in women with pelvic floor disorders are lacking.15”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
The paper relies on this without support.
Precise estimates of mobile technology ownership and willingness to use it for health care among women with pelvic floor disorders are lacking.
“Though prior studies suggest that adults are willing to adopt the use of mobile technology in their daily lives, precise estimates of ownership and willingness to use mobile technology for health care in women with pelvic floor disorders are lacking.15”
The paper relies on this without support.
Older adults benefit from orientation to technology and hands-on training.
“Older adults also benefit from appropriate orientation to the technology and practical hands on training, steps that will be essential not only for”
The paper relies on this without support.
This study is the first report on mobile technology use in an FPMRS population.
“This study is also the first report on the use of mobile technology in an FPMRS population.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most FPMRS patients own and are comfortable using technology needed for telehealth and are willing to interact remotely with providers.
“Most Female Pelvic Medicine and Reconstructive Surgery (FPMRS) patients own and feel comfortable operating the technology required to participate in telehealth interventions and would be willing to interact remotely with their providers.”
From Evidence for the Appropriate Use of Telemedicine in Female Pelvic Medicine and Reconstructive Surgery (2021) · cites this paper as [10]
A survey of women with pelvic floor disorders reported that they possessed and could operate mobile technology, leading its authors to deem telemedicine feasible.
“Overall, the authors found that this population did own mobile technology and was able to use the technology, concluding that telemedicine is feasible.”
From Evidence for the Appropriate Use of Telemedicine in Female Pelvic Medicine and Reconstructive Surgery (2021) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Older women's smartphone ownership is reported as both 75% and over 90%
MajorThe abstract reports 75% smartphone ownership among older women, while the discussion says more than 90% of older women owned a smartphone.
“older women were significantly less likely to own a smart phone (75%) compared to younger (100%) and middle-aged women (98%)”
“more than 90% older women reported owning a smart phone”
The stated Type I error rate is ten times the described calculation
MinorDividing 0.05 by 4 gives 0.0125, not 0.125.
Reported 0.125 · recomputed 0.0125
“we chose a conservative Type I error rate of 0.125 (traditional Type I error rate of 0.05 divided by the 4 possible match pairings)”
The conclusion overstates willingness in the older group
MinorThe abstract describes willingness among older women as almost 50%, but its conclusion says a majority in every age group are willing. Almost 50% does not establish a majority for the older group.
“almost 50% of older women and greater than 65% of middle-aged women expressed willingness to adopt technologies for health care communication.”
“the majority of women across all age-groups, irrespective of travel distance, are willing to adopt alternative mobile technologies to communicate with their health care providers.”
Cites
Interactive telemedicine: effects on professional practice and health care outcomes
Flodgren, G., Rachas, A., Farmer, A. J., Inzitari, M., & Shepperd, S. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002098.pub2 · Cited by 806 · see citing works
Older adults: Are they ready to adopt health-related ICT?
Heart, T., & Kalderon, E. (2013) · Int. J. Medical Informatics · doi:10.1016/j.ijmedinf.2011.03.002 · Cited by 599 · see citing works
Diffusion of Technology: Frequency of use for Younger and Older Adults
Olson, K. E., O’Brien, M. A., Rogers, W. A., & Charness, N. (2011) · Ageing International · doi:10.1007/s12126-010-9077-9 · Cited by 491 · cited 1× · see citing works
“Distance from home to clinic, median (range) 11 (1–108) ≤3 miles 45 (23) >3 and ≤10 miles 50 (25) >10 and ≤30 miles 84 (42) >30 miles 21 (10) Primary reason for visit”
Hwa, K., & Wren, S. M. (2013) · JAMA Surgery · doi:10.1001/jamasurg.2013.2672 · Cited by 202 · cited 1× · see citing works
“Distance from home to clinic, median (range) 11 (1–108) ≤3 miles 45 (23) >3 and ≤10 miles 50 (25) >10 and ≤30 miles 84 (42) >30 miles 21 (10) Primary reason for visit”
Follow-up for people with cancer: nurse-led services and telephone interventions
Cox, K., & Wilson, E. (2003) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.2003.02672.x · Cited by 191 · cited 2× · see citing works
“Prefer not to state 4 (2) Employment status Employed for wages 101 (51)”
Serrano, K. J., Yu, M., Riley, W. T., Patel, V., Hughes, P., Marchesini, K., & Atienza, A. A. (2016) · The Annals of Family Medicine · doi:10.1370/afm.1888 · Cited by 89 · see citing works
Fritel, X., Lachal, L., Cassou, B., Fauconnier, A., & Dargent‐Molina, P. (2013) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.12316 · Cited by 80 · cited 1× · see citing works
“Recurrent urinary tract infection 27 (13) Hematuria 6 (3) Other 8 (4)”
Human factors considerations in implementing telemedicine systems to accommodate older adults
Stronge, A. J., Rogers, W. A., & Fisk, A. D. (2007) · Journal of Telemedicine and Telecare · doi:10.1258/135763307779701158 · Cited by 79 · cited 1× · see citing works
“Self-employed 19 (9) Homemaker 15 (8) Student 3 (1) Retired 47 (24)”
Telemedicine applications in obstetrics and gynecology
GREINER, A. L. (2017) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0000000000000328 · Cited by 74 · see citing works
Wiseman, J. T., Fernandes-Taylor, S., Barnes, M. L., Tomsejova, A., Saunders, R. S., & Kent, K. C. (2015) · Journal of Surgical Research · doi:10.1016/j.jss.2015.05.011 · Cited by 70 · see citing works
Gallagher, R., McKinley, S., & Dracup, K. (2003) · Heart & Lung · doi:10.1067/mhl.2003.19 · Cited by 70 · see citing works
Home Videoconferencing for Patients with Severe Congential Heart Disease Following Discharge
Morgan, G. J., Craig, B., Grant, B., Sands, A., Doherty, N., & Casey, F. (2008) · Congenital Heart Disease · doi:10.1111/j.1747-0803.2008.00205.x · Cited by 68 · cited 2× · see citing works
“Unemployed 4 (2) Disabled 10 (5) Prefer not to state 1 (1)”
Mobile health apps and recovery after surgery: what are patients willing to do?
Abelson, J. S., Symer, M., Peters, A., Charlson, M., & Yeo, H. (2017) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2017.06.009 · Cited by 64 · see citing works
Risk Factors for Fecal Incontinence in a Nursing Home Population
Johanson, J. F., Irizarry, F., & Doughty, A. S. (1997) · Journal of Clinical Gastroenterology · doi:10.1097/00004836-199704000-00007 · Cited by 62 · see citing works
Social networking and Internet use among pelvic floor patients: a multicenter survey
Mazloomdoost, D., Kanter, G., Chan, R. C., Deveaneau, N., Wyman, A. M., Bargen, E. C. V., Chaudhry, Z. Q., Elshatanoufy, S., Miranne, J. M., Chu, C. M., et al. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.06.011 · Cited by 60 · see citing works
Self-citationEisenberg, D., Hwa, K., & Wren, S. M. (2015) · JSLS : Journal of the Society of Laparoendoscopic Surgeons · doi:10.4293/jsls.2014.00205 · Cited by 55 · see citing works
Fischer, K., Hogan, V., Jager, A., & von Allmen, D. (2015) · The Permanente Journal · doi:10.7812/tpp/14-017 · Cited by 52 · cited 3× · see citing works
“Urinary incontinence 128 (64) Fecal incontinence 15 (8) Charlson Comorbidity Index, median (range) 2 (0–6) RESULTS”
Harkness, K., Smith, K. M., Taraba, L., MacKenzie, C. L., Gunn, E., & Arthur, H. M. (2005) · Heart & Lung · doi:10.1016/j.hrtlng.2004.07.010 · Cited by 52 · cited 1× · see citing works
“Recurrent urinary tract infection 27 (13) Hematuria 6 (3) Other 8 (4)”
A telephone survey of medical patients 1 week after discharge from hospital
BOWMAN, G. S., HOWDEN, J., ALLEN, S., WEBSTER, R. A., & THOMPSON, D. R. (1994) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.1994.tb00414.x · Cited by 37 · cited 3× · see citing works
“Pelvic organ prolapse 67 (33) Defecatory problem 1 (1) Pelvic pain 14 (7)”
Hafiji, J., Salmon, P., & Hussain, W. (2012) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2012.11011.x · Cited by 26 · cited 1× · see citing works
“Self-employed 19 (9) Homemaker 15 (8) Student 3 (1) Retired 47 (24)”
Greer, J. A., Xu, R., Propert, K. J., & Arya, L. A. (2015) · Neurourology and Urodynamics · doi:10.1002/nau.22615 · Cited by 24 · see citing works
Self-citationEffect of telephone followups on post vasectomy office visits.
Emerson, C., Gibbs, L., Harper, S., & Woodruff, C. B. (2000) · PubMed · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Novara, G., Checcucci, E., Crestani, A., Abrate, A., Esperto, F., Pavan, N., Nunzio, C. D., Antonio Galfano, A., Giannarini, G., Gregori, A., et al. (2020) · European Urology · doi:10.1016/j.eururo.2020.06.025 · Cited by 200 · see citing works
“…in the weekly minutes of SED time (–455.4min), weekly minutes of MVPA (+44.1min), and step counts (+1535 steps) were observed after the intervention Lee (2019) [48] Randomized controlled trial Not reported 50 Smartphone application to record physical activities The smartphone application was used…”
InfluentialHou, Y., Feng, S., Tong, B., Lu, S., & Jin, Y. (2022) · BMC Women s Health · doi:10.1186/s12905-022-01985-7 · Cited by 33 · see citing works
“A cross-sectional study of 200 adult women in Pennsylvania showed high rates of overall mHealth app ownership, with smartphones accounting for 92%, and women with pelvic floor disorders have high capability of using mHealth app to communicate with their health care providers [17].”
BackgroundTelehealth in surgery: an umbrella review
Smith, S. M., Jacobsen, J. H. W., Atlas, A. P., Khoja, A. A., Kovoor, J. G., Tivey, D. R., Babidge, W., Clancy, B., Jacobson, E. E., O’Neill, C. J., et al. (2021) · ANZ Journal of Surgery · doi:10.1111/ans.17217 · Cited by 28 · see citing works
“One study noted that older females were more reluctant to engage with telehealth services.(27) This contrasts with recent surveys finding that males were more likely to have poor telehealth experiences.”
Lee, D. D., Arya, L. A., Andy, U. U., & Harvie, H. S. (2021) · Female Pelvic Medicine & Reconstructive Surgery · doi:10.1097/spv.0000000000000909 · Cited by 25 · see citing works
“3 Urinary tract infection 3 (12) 1 (4) 0.”
Self-citationA guide to physiotherapy in urogynecology for patient care during the COVID-19 pandemic
Ferreira, C. H. J., Driusso, P., Haddad, J. M., Botelho, S., Fernandes, A. C. N. L., Pôrto, D. F., Reis, B. M., Mascarenhas, L. R., Brito, L. G. O., & Ferreira, E. A. G. (2020) · International Urogynecology Journal · doi:10.1007/s00192-020-04542-8 · Cited by 23 · see citing works
“& To consider cultural aspects, technological and personal limitations on the use of technology, patient availability and access to technology, and familiarity of physiotherapists and patients with technological tools [13].”
BackgroundPilot randomized controlled trial of a hypnosis intervention for women with bladder pain syndrome
Soriano, A., Schnur, J. B., Harvie, H. S., Newman, D. K., Montgomery, G. H., & Arya, L. A. (2021) · Neurourology and Urodynamics · doi:10.1002/nau.24771 · Cited by 15 · see citing works
Self-citationPerformance, acceptability, and validation of a phone application bowel diary
Zyczynski, H. M., Richter, H. E., Sung, V. W., et al. (2020) · Neurourology and Urodynamics · doi:10.1002/nau.24520 · Cited by 12 · see citing works
“In a recent survey of 200 women with pelvic floor disorders, 92% women overall and 75% women age 65 years and older owned a smartphone.(18) In this study, though younger women were more likely than older women to use technology to track health‐related information, the utilization of smartphone “apps” for health‐relate…”
BackgroundSelf-citationPatient-Centered Goals for Treatment of Pelvic Floor Disorders
Dao, A., & Dunivan, G. C. (2022) · Current Bladder Dysfunction Reports · doi:10.1007/s11884-022-00668-1 · Cited by 12 · see citing works
(2022) · doi:10.1007/s00192-022-05104-w · Cited by 10 · see citing works
“1 3 Expedited guidelines for the delivery of urogynecologic care were established for providers [9], and prior studies show that this patient population is willing to employ telemedicine [6].”
BackgroundCoad, B., Ramani, S., Michel, L. C., Peled, A., Morgan, J., Hartnett, J., Chudnoff, S. G., & Andikyan, V. (2023) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-023-07078-6 · Cited by 9 · see citing works
Vega, M., McKay, E., & Halani, P. K. (2021) · International Urogynecology Journal · doi:10.1007/s00192-021-04918-4 · Cited by 8 · see citing works
“While data on mobile app usage in urogynecology are limited, a study assessing technology use in 200women with pelvic floor disorders found that 92% owned a smartphone and almost all reported having high proficiency in using smartphone features across all age groups, suggesting that this population is likely to utiliz…”
BackgroundTelehealth is effective for pelvic health physical therapy
Karhu, E., Gurland, B., Barten, J., Miller, L., Yi, G., Shen, S., & Neshatian, L. (2024) · Neurogastroenterology & Motility · doi:10.1111/nmo.14844 · Cited by 8 · see citing works
Geographic Access to Urogynecology Care in the United States
Schmidt, E. M., Ward, L., Gregory, W. T., et al. (2024) · Urogynecology · doi:10.1097/spv.0000000000001547 · Cited by 5 · see citing works
Barrett, F., Stewart, L. E., & Brucker, B. M. (2021) · Current Bladder Dysfunction Reports · doi:10.1007/s11884-021-00635-2 · Cited by 5 · see citing works
Telehealth in a Pelvic Floor Physical Therapy Clinic: A Retrospective Cohort Study
ter Haar, C. M., Class, Q. A., Kobak, W. H., & Pandya, L. K. (2024) · Urogynecology · doi:10.1097/spv.0000000000001510 · Cited by 2 · see citing works
Telemedicine: The New “Virtual Reality” of Female Pelvic Medicine and Reconstructive Surgery?
Morsy, H., Scott, C., Jairath, R., Ghetti, C. C., Chu, C. M., Sutcliffe, S. S., & Lowder, J. L. (2022) · Urogynecology · doi:10.1097/spv.0000000000001149 · Cited by 4 · see citing works
Navigating urology’s new normal and mitigating the effects of a second wave of COVID-19
MacDonald, L., Cox, A. R., Jarvi, K. A., Martin, P., French, C., Wang, Y., Braga, L. H., & Leveridge, M. (2020) · Canadian Urological Association Journal · doi:10.5489/cuaj.6976 · Cited by 3 · see citing works
Chu, C., Shen, Z., Xu, H., Wei, Q., & Cao, C. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03684-0 · Cited by 2 · see citing works
“The virtualisation of public welfare facilities has gradually emerged in many areas of daily life, such as electronic health (D. D. Lee et al. 2019) and telemedicine (Werner and Karnieli, 2003).”
Dahl, M., Morocco, E. B., Rodríguez, L. V., & Dancz, C. E. (2021) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2020.0516 · Cited by 1 · see citing works
“18 Our study did not find such an association between age and willingness to use text messaging.”
SAIMSARA (2026) · SAIMSARA Journal · doi:10.62487/saimsara35d5dc3f
- Authors
- Lee, D. D., Arya, L. A., Andy, U. U., Sammel, M. D., & Harvie, H. S.
- Affiliations
- Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics and Gynecology, and
- University of Pennsylvania (US)
- Corresponding author
- Lee, Daniel D.
- Arya, Lily A.
- Andy, Uduak U.
- Harvie, Heidi S.
- Venue
- Female Pelvic Medicine & Reconstructive Surgery
- Published
- 2019-03
- Volume
- 25
- Issue
- 2
- Pages
- 134-138
- ISSN
- 2151-8378 (ISSN-L)
- PMC
- PMC6392070
- OpenAlex
- W2917887308
- Semantic Scholar
- 23b138c2ea7171ed3e4ee3a53964b2afd0a0d4a7
- Cited by
- 21
- References
- 22
- Citations by year
- 2026: 2 · 2024: 4 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 5
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Urogynecology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R03AG053277, L30 AG060604)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- pelvic floor dysfunction, mobile technology adoption, telemedicine, videoconferencing, text messaging, patient portals, email communication, smartphone ownership, age differences, older women
- MeSH terms
- Smartphone, Adult, Age Factors, Aged, Aged, 80 and over, Communication, Cross-Sectional Studies, Educational Status, Female, Health Personnel, Health Services Accessibility, Humans, Middle Aged, Patient Acceptance of Health Care, Telecommunications, Telemedicine, Internet, Electronic Mail, Videoconferencing, Young Adult, Health Communication, Pelvic Floor Disorders, Text Messaging
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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