Data for this study were taken from the German Ageing Survey (DEAS; a nationally representative sample of individuals aged 40 years in Germany). As part of the DEAS, a short survey was conducted between June 8 and July 22, 2020, examining the everyday life and living conditions among these middle-aged and older individuals during the COVID-19 pandemic. This survey was addressed to all panel participants who had taken part in previous DEAS waves at least once. Thus, the basis for this survey was all willing panel participants who could still be reached from the baseline samples 1996 to 2014 (from 1996: 539 individuals; from 2002: 525 individuals; from 2008: 1549 individuals; from 2014: 2210 individuals). Thus, individuals were at least 46 years old in the survey conducted in 2020.

In sum, 4823 individuals who had already participated in 1 or more former waves were included in this short survey (paper and pencil interview) with a response rate of 56.5%, which is comparable to other survey studies in Germany [15]. Of the included sample, 3806 individuals had access to the internet and filled out the dependent variable (analytical sample in regressions analysis: n=3067; reduction in sample size can be explained by missing data in the independent variables, as listwise deletion was used in regression analysis [16]). Further details regarding the DEAS study are given elsewhere [17].

Individuals with access to the internet (ie, individuals who reported “yes” when asked whether he or she has access to the internet) were asked to report the frequency of “consultations with doctors or therapists via an online platform” (daily, several times a week, once a week, 1-3 times a month, less often, and never). It was dichotomized (0=never; 1=otherwise including daily, several times a week, once a week, 1-3 times a month, and less often). This variable served as the dependent variable.

We included socioeconomic, lifestyle-related, health-related, COVID-19–related factors, and psychosocial factors as independent variables. With regard to socioeconomic factors, we included age, sex, educational level (International Standard Classification of Education 97 [ISCED-97] [18]: low, medium, or high education), employment status (employed, retired, non-employed), living situation (single, with partner in household, with partner without a common household), having at least one child (no or yes), migration background (no or yes), monthly household net income (in Euros), region (West Germany or East Germany), and type of district (large cities, urban cities, urban-rural districts, rural districts).

With regard to lifestyle factors, we included engagement in physical activities and the frequency of walks (in both cases: daily, several times a week, once a week, 1-3 times a month, less often, never). With regard to health-related factors, we included self-rated health (from 1=very good to 5=very bad) and depressive symptoms (10-item Center for Epidemiological Studies-Depression [CES-D] scale [19] score ranging from 0 to 30, with higher scores reflecting more depressive symptoms). In this study, Cronbach alpha for the CES-D was .85. The CES-D has favorable psychometric characteristics [20].

With regard to COVID-19–related factors, we included the following variables: feeling that the COVID-19 crisis posed a threat to oneself (from 0=not at all a threat for me to 10=extreme threat for me); infection among people in one’s own personal environment with the coronavirus (yes, no, don’t know); one’s own infection with the coronavirus (yes, no, don’t know); and the feeling that one can influence an infection with the coronavirus (from 1=not at all to 7=entirely). With regard to psychosocial factors, we included life satisfaction (Satisfaction with Life Scale [SWLS] by Diener et al [21], which includes 5 items, scored from 1 to 5, where higher values correspond to greater satisfaction with life) and loneliness (6-item De Jong Gierveld Loneliness Scale [22]; scored from 1 to 4, with higher values reflecting higher loneliness levels). In this study, Cronbach alpha for the SWLS was .87 and that for the De Jong Gierveld Loneliness Scale was .79. Both tools (loneliness [23] and life satisfaction [24]) have favorable psychometric properties.

In a first step, sample characteristics were computed, stratified by the use of online consultations with doctors or therapists (unpaired t tests and chi-square tests were used, as appropriate). Subsequently, multiple logistic regressions were conducted to identify the correlates of use of online consultations with doctors or therapists. Statistical significance was set at P<.05. Stata 16.1 (StataCorp) was used to perform statistical analyses.

Written informed consent was obtained from all individual participants included in the study. An ethics vote was not deemed necessary according to criteria for the need of an ethical statement. This is in line with the German Research Foundation guidelines. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Stratified by the use of online consultations with doctors or therapists, sample characteristics are presented in Table 1. In the total sample, the average age was 67.6 years (SD 9.7; range 46-98 years) and 49.31% (1877/3806) of the individuals were female. Overall, 10.02% (381/3806) of the individuals with access to the internet had online consultations with doctors or therapists.

In bivariate analysis, individuals using online consultations with doctors or therapists significantly (at least P<.05) differed from those who had never had an online consultation in terms of sex, living situation, presence of children, self-rated health, depressive symptoms, feeling that the COVID-19 crisis poses a threat to oneself, and loneliness. Further details are given in Table 1.

The findings of multiple logistic regressions with experience of an online consultation(s) with doctors or therapists as the outcome measure are shown in Table 2. Multiple logistic regressions showed that the likelihood of having online consultations with doctors or therapists (compared with never using such services) was positively associated with higher education (compared with medium education; odds ratio [OR] 1.31, 95% CI 1.01-1.70), living with a partner in the same household (compared with single; OR 1.53, 95% CI 1.05-2.22), poorer self-rated health (OR 1.42, 95% CI 1.16-1.74), increased loneliness (OR 1.45, 95% CI 1.10-1.90), and increased satisfaction with life (OR 1.30, 95% CI 1.03-1.64). Other socioeconomic, lifestyle-related, health-related, and COVID-19–related factors did not achieve statistical significance (P>.05).

In sum, 10.02% (381/3806) of the individuals with access to the internet had used online consultations with doctors or therapists. Regressions showed that the likelihood of having used online consultations with doctors or therapists (compared with never using such services) was positively associated with higher education, living with partner in the same household (compared with single), poorer self-rated health, increased loneliness, and increased satisfaction with life.

To date, only a few international studies have reported the frequency of online consultations with doctors or therapists based on nationally representative samples. For example, 46.1% of GP services were provided using such consultations (video and telephone) in Australia in early May 2020 [25]. Moreover, 44% of respondents supported using online consultations for medication abortion among adults in the United States during the COVID-19 pandemic [26]. In general, the quite high proportion of individuals using online consultations with doctors or therapists (compared with the time prior to the pandemic in Germany) found in our study is in accordance with recently conducted research covering the adult population in Germany during the pandemic [27]. Because of the high proportion of online consultations, we assume that, in most cases, online consultations replaced physical meetings. However, because these data were not available in the data set used in our study, future research is required to clearly distinguish between different types of online consultations with doctors or therapists (ie, replacing or complementary to in-person consultations).

This high proportion supports the conclusion made by Wosik et al [28], who stressed the rise of virtual care. In international comparison (eg, compared with other European countries), Germany still lags behind [29]. By contrast, consumer-enabled and connected health technologies are widespread in the Netherland and Nordic countries.

To date, some studies have described the frequency and correlates of online consultations with doctors or therapists. For example, it has recently been shown that older, female, or poorer patients had used video consultations less frequently [30] in the United States. A greater reluctance to use online consultations with doctors was also reported among individuals with a lower educational attainment in Denmark [31].

Given that individuals filled out the questionnaire in June or July 2020, it appears plausible that those with poorer self-rated health had a greater likelihood of using online consultations, compared with those who did not use online consultations, as these individuals were in need of care and around 1.4 million hours of online consultations were made in Germany during the first half of 2020 [12].

Compared with single individuals, individuals living with a partner in the same household had a greater likelihood of using online consultations. This might be explained by the fact that partners may urge the individuals to use such services [32] when individuals are in need of care. Moreover, they could assist when technical difficulties arise. Furthermore, they may seek to protect their partner from possible infection with SARS-CoV-2.

The association between higher education and an increased likelihood of using online consultations appears to be plausible. This is due to the fact that higher education is often associated with lower computer anxiety and better computer skills [33].

With regard to other correlates, it was particularly surprising that COVID-19–related factors were not significantly associated with the outcome measure. It seems that other factors (ie, education, health, and psychosocial factors) are important for the outcome measure. Future research is required to clarify the association between COVID-19–related factors and the use of online consultations with doctors or therapists.

At first glance, it may seem contradictory that both higher loneliness and greater life satisfaction are associated with a greater likelihood of using online consultations. However, previous research has also demonstrated a link between increased loneliness and an increased number of GP visits [34]—for example, to address social needs in higher age [35]. Furthermore, the association between life satisfaction and online consultations may be explained by the fact that life satisfaction is positively associated with an increased use of preventive health care services (eg, in women: higher likelihood of obtaining a mammogram, x-ray, or pap smear; in men: higher likelihood of obtaining a prostate examination) [36]. Additionally, higher life satisfaction is associated with higher meaning in life (ie, a sense of comprehension and significance in life [37]) [38]. In turn, a higher meaning in life [39] is associated with more frequent health care use (GP and specialist visits) and an increased use of preventive health care services [40]. Individuals with high life satisfaction and high meaning in life may particularly value their lives and may use health care services (curative and preventive) to stay healthy for as long as possible [40].

Some strengths and limitations of this study should be considered. This is the first study identifying the frequency and correlates of online consultations with doctors or therapists among individuals in the second half of life in Germany. Additionally, a nationally representative sample (data collection during the pandemic) was used. While the outcome measure had a high face validity, future studies are needed to distinguish between online consultations with doctors (including the medical specialty) or therapists (eg, psychotherapists, occupational therapists, or physical therapists). For example, it may be the case that online consultations with doctors differ from online consultation with therapists (eg, in terms of the reason for the consultation, the objective, and the average duration). Online consultations may also differ between, for example, physicians and psychological or medical psychotherapists. Differences may also exist between occupational therapists and physical therapists regarding online consultations. Moreover, other domains of health care use (eg, outpatient physician visits or hospital stays) and other health-related factors (eg, chronic conditions) were not assessed in this short survey. A small sample selection bias has been identified in the DEAS study [41]. However, the distribution of family status, family composition, labor force participation, and educational level is very close to the distribution in the German population [41]. Furthermore, this study examined patient-related factors, whereas more studies are required to investigate physician-related factors such as practice size [42] or region (rural vs urban [43]) when identifying the correlates of online consultations with doctors or therapists.

Findings of this study suggest that a non-negligible proportion of around 1 in 10 individuals aged 46 years and over had online consultations with doctors or therapists. However, compared with other countries, there is still room for improvement (regarding the proportion of online consultations by community-dwelling individuals aged 46 years and over in Germany). Examination and comparison of the characteristics of adopters and nonadopters of online consultations could assist in strategic planning and improve uptake of online consultation. Future research in other countries is required.

With regard to Germany, it may be beneficial to strongly intensify efforts linked to broadband infrastructure in Germany, which has clear potential for improvement and still lags behind other countries. A good quality and stable connection, as well as perhaps monetary incentives for both patients (eg, cost savings) and doctors/therapists (eg, remuneration incentives) may assist in increasing the proportion of online consultations. Furthermore, strategies to reduce computer anxiety, particularly among the oldest old, may assist in this.