Predictors of Adherence in Three Low-Intensity Intervention Programs Applied by ICTs for Depression in Primary Care

Castro, Adoración; García‐Palacios, Azucena; López‐Del‐Hoyo, Yolanda; Mayoral, Fermín; Pérez-Ara, María Ángeles; Baños, Rosa M.; Garcı́a-Campayo, Javier; Hurtado, María M.; Botella, Cristina; Barceló‐Soler, Alberto; Villena, Alicia; Roca, Miquel; Gili, Margalida

doi:10.3390/ijerph18041774

Cited by 8 publications

(14 citation statements)

References 51 publications

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“…Four studies were conducted in Australia [50][51][52][53]. Three studies were conducted in Switzerland [54][55][56] and 4 in Spain [57][58][59][60]. In Canada [61,62], Finland [63,64], Sweden [65,66], and Great Britain [67,68] 2 studies each were identified.…”

Section: Data Description: Therapymentioning

confidence: 99%

“…The majority of studies (41/52) differentiated between an IG and CG and were conducted as randomized controlled trials (RCTs) [22,24,[27][28][29][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]54,55,[57][58][59][60][61][63][64][65][66][67][68][69]71,72]. Seven studies were conducted as pilot studies [25,26,[30][31][32]56,62].…”

Section: Data Description: Therapymentioning

confidence: 99%

“…Multiple answers were possible, depending on which functions were given. Most of the DHIs (33/52, 63%) were offered as guided interventions in which a therapist supported the participants [21,25,26,28,29,[31][32][33][34][35][36][37][38][39][42][43][44]47,49,54,55,[57][58][59][60][62][63][64][67][68][69][70][71], with 15% (11/52) conducted as unguided interventions [22,23,27,30,40,45,46,49,50,52,61] and 15% (11/52) using the reminder function to encourage patients to perform daily exercises or self-assessments [24,32,41,47,49,…”

Section: Technology Mapping: Therapymentioning

confidence: 99%

“…A total of 71% (37/52) of studies reported improvements in depressive symptoms [22,30,32,37,40,42,44,46,[49][50][51][53][54][55][56][57][59][60][61][62][63][64]67,68,[70][71][72], 27% (14/52) reported no (significant) effects [21,31,[33][34][35][36]41,45,47,48,58,65,66,69], and 2% (1/52) did not consider depressive symptoms as an outcome [52].…”

Section: Evidence Of Dhi In Therapy For Depressionmentioning

confidence: 99%

“…In the case of web-based provision of DHIs, improvements of depressive symptoms becomes clear. A total of 67% (26/39) of studies identified a benefit [22,23,28,37,40,42,44,46,49,52,55,57,[59][60][61][62][63][64]67,[70][71][72], 31% (12/39) did not verify an improvement in depressive symptoms [21,[33][34][35][36]41,45,48,58,65,66,69], and 1 study did not provide results for depressive outcomes [52]. All studies that used mixed forms of technology demonstrated a benefit.…”

Section: Evidence Of Dhi In Therapy For Depressionmentioning

confidence: 99%

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Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review

Tokgöz¹,

Hrynyschyn²,

Häfner³

et al. 2021

JMIR Ment Health

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Background Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users. Objective The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. Methods A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool. Results In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found. Conclusions Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

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Section: Data Description: Therapymentioning

confidence: 99%

Section: Data Description: Therapymentioning

confidence: 99%

Section: Technology Mapping: Therapymentioning

confidence: 99%

Section: Evidence Of Dhi In Therapy For Depressionmentioning

confidence: 99%

Section: Evidence Of Dhi In Therapy For Depressionmentioning

confidence: 99%

See 3 more Smart Citations

Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review

Tokgöz¹,

Hrynyschyn²,

Häfner³

et al. 2021

JMIR Ment Health

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Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Shafierizi,

Basirat,

Nasiri-Amiri

et al. 2024

BMC Psychiatry

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Background The study aimed to examine the predictors of treatment nonresponse and low adherence to Internet-based cognitive behavioral therapy and face-to-face therapy for treating depression and anxiety in women facing the couple’s fertility problems. Methods This is a secondary analysis based on a previous randomized controlled trial including 152 depressed/anxious women facing the couple’s fertility problems. The study defines low adherence as receiving less than 4 sessions (out of 8 sessions). Nonresponse to treatment refers to a < 50% reduction in the anxiety and depression total scores. Results A high level of anxiety/depression score before psychotherapy increases the risk of nonresponse to both Internet-based and face-to-face psychotherapies by 1.4 to 2 times in women facing the couple’s fertility problems after the treatment and in the 6-month follow-up. However, 4 factors, including diagnosis of mixed anxiety and depression, low education level, long marriage duration, and infertility caused by mixed female/male factors, reduced the risk of nonresponse to psychotherapies. Conclusion Women facing the couple’s fertility problems with high depression and anxiety scores are at risk of poor prognosis in response to psychotherapy. Psychologists and healthcare providers of infertility centers should pay more attention to the timely identification and referral of depressed/anxious patients to psychologists.

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Offerings and User Demands of eHealth Services in Spain: National Survey

Ramos¹,

Silva²,

Buceta³

et al. 2023

J Med Internet Res

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Background The accelerated development of information and communication technologies has made health care one of the pioneering fields in the incorporation of these tools. As new technologies have been applied, existing technologies have been sophisticated and improved and the concept of eHealth has expanded. However, these advances and expansion of eHealth do not seem to have served to adapt the supply of services to users’ demands; rather, supply seems to be governed by other variables. Objective The main objective of this work was to review the existing differences between user demands and the supply of eHealth services in Spain and their causes. The aim is to provide information on the level of use of the services and the causes of the variation in demand for these services, which can be useful in correcting existing differences and adapting them to the needs of users. Methods A survey, “Use and Attitudes Toward eHealth in Spain,” was applied by telephone to a sample of 1695 people aged 18 years and over, taking into account sociodemographic profile characteristics (sex, age, habitat, educational level). The confidence level was set at 95% and the margin of error was ±2.45 for the whole sample. Results The survey results showed that the online doctor’s appointment service is the most frequently used eHealth service by users: 72.48% of respondents used this service at some point and 21.28% stated that they use it regularly. The other services showed significantly lower percentages of use, including “managing health cards” (28.04%), “consulting medical history” (20.37%), “managing test results” (20.22%), “communicating with health professionals” (17.80%), and “requesting a change of doctor” (13.76%). Despite this low usage, a large majority of respondents (80.00%) attach great importance to all the services offered. Overall, 16.52% of the users surveyed were willing to make new service requests to the regional websites, with 9.33% of them highlighting services such as “the availability of a complaints and claims mailbox,” “the possibility of consulting medical records,” and “the availability of more detailed information on medical centers (location, medical directory, waiting lists, etc).” Other outstanding requests (8.00%) were to simplify the procedures for using certain existing services. Conclusions The data from the survey show that eHealth services are widely known and highly valued by users, but not all services are used with the same frequency or intensity. It appears that users find it difficult to suggest new services that might be useful to them in terms of demand for new services that do not currently exist. It would be useful to use qualitative studies to gain a deeper understanding of currently unmet needs and the possibilities of eHealth. The lack of access to and use of these services and the unmet needs particularly affect more vulnerable populations who have the greatest difficulty in meeting their needs through alternative means to eHealth.

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Predictors of Adherence in Three Low-Intensity Intervention Programs Applied by ICTs for Depression in Primary Care

Cited by 8 publications

References 51 publications

Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review

Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review

Predictors of nonresponse to treatment and low adherence to internet-based cognitive behavioral therapy in depressed/anxious women facing the couple’s fertility problems: a secondary analysis of a randomized control trial

Offerings and User Demands of eHealth Services in Spain: National Survey

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