| Literature DB >> 35641927 |
Christiaan Vis1,2,3, Annet Kleiboer4,5, Mayke Mol4,5,6, Claus Duedal Pedersen7, Tracy Finch8, Jan Smit5,6, Heleen Riper4,5,6.
Abstract
BACKGROUND: Internet-based Cognitive Behaviour Therapy (iCBT) for depression have been implemented in routine care across Europe in varying ways, at various scales and with varying success. This study aimed to advance our understanding of organisational implementation climate from the perspectives of implementers and mental health service deliverers.Entities:
Keywords: Acceptance; Implementers; Internet-based Cognitive Behavioural Therapy; Organisational Context; Organisational Implementation Climate; Service deliverers
Mesh:
Year: 2022 PMID: 35641927 PMCID: PMC9153170 DOI: 10.1186/s12913-022-08041-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Fig. 1Conceptual model of implementation success, intervention characteristics and wider organisational context. The relation between organisational implementation climate and acceptability of iCBT services that were implemented, was the subject of this explorative study
Demographic characteristics of the organisations and iCBT services implemented in the MasterMind project
| Wave | Org. ID. | Region, country | iCBT service | Guidance modality1 | Referral pathways2 | Referrals3
| Reach4 % | Org. size5 | Funding6 |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | Scotland, UK | Beating the Blues | Self-help | GP, SP | 5,724 | 5.30 | M | Public |
| 1 | 2 | Southern Denmark, DK | NoDep | Guided | S | 259 | 0.72 | S | Public |
| 1 | 3 | Amsterdam area, NL | MindDistrict, MoodBuster | Blended | GP, SP | 355 | 3.31 | L | Insured |
| 1 | 4 | Hospital group and online provider, DE | Depression Online, Relapse prevention, GET.ON Mood enhancer, Get.On Sleep | Blended | S, O | 1,405 | 0.26 | L | Insured |
| 1 | 5 | Tromsø area, NO | MoodGym | Self-help | GP | 191 | 5.46 | M | Public |
| 2 | 6 | Basque Country, SP | Super@tuDepression | Guided | GP, SP | 216 | 0.55 | L | Public |
| 2 | 7 | Wales, UK | Beating the Blues | Self-help | GP | 355 | 3.34 | L | Public |
| 2 | 8 | Aragon, SP | Super@tuDepression | Guided | SP | 129 | 3.00 | M | Other |
| 2 | 9 | Badalona, SP | Super@tuDepression | Guided | GP | 253 | 1.01 | L | Other |
| 2 | 10 | Galicia, SP | Super@tuDepression | Guided | GP | 110 | 0.11 | L | Public |
| 2 | 11 | Piemonte, IT | iFightDepression | Guided | S, GP, SP | 161 | 0.75 | L | Other |
| 2 | 12 | Veneto, IT | iFightDepression | Guided | SP | 150 | 0.17 | S | Other |
| 2 | 13 | Anatolia, TR | Top Sende | Guided | S | 120 | 1.42 | S | Other |
| 2 | 14 | Harju, EE | iFightDepression | Guided | S | 56 | 1.60 | S | Insured |
1 Guidance modality refers to a categorisation of the online and face-to-face human interaction in the iCBT service. S: self-help by which none or only technical and administrative support is provided. G: therapeutic guidance provided by a therapist online through asynchronous messaging. B: blended in which sessions in face-to-face or videoconferencing format are integrated with online sessions in one treatment protocol
2 Main patient referral pathway to the iCBT service. GP: via General Practitioner offices; SP: via mental health specialist referral; S: self-referral; O: other, e.g. via health insurers
3 Referrals concerns the total number of patients deemed eligible for the iCBT service and received an account to access the treatment. Eligibility was determined following local clinical guidelines and was based on clinical judgement and/or using a structured validated clinical questionnaire (e.g. PHQ-9)
4 Reach is the proportion of eligible individuals in a given (estimated) catchment area and those actually involved in the service
5 Indicator of the size of the mental healthcare organisation involved in the implementation based on an estimate of the annual revenues and number of employees. L: large organization (revenues > 50 mln. Eur., full time equivalent (FTE) staff positions > 500). M: medium-large organisation (revenues 10-50 mln. Eur., FTE < 500). S: small organisation (revenues < 2 mln. Eur., FTE < 200)
6 Indicator of the source of funding source of the iCBT service. Insured: service use is reimbursed by private health insurances. Public: service is reimbursed by the public health care system. Other: project-based, out of pocket expenses, other sources or a combination of these
Demographics of the conceptualisation workshop participants
| Variable | Pooled | Wave 1 | Wave 2 |
|---|---|---|---|
| Sample, | 16 | 8 | 8 |
| Age in years, | 39.3 (10.9) | 41.5 (12) | 37 (10.1) |
| Min. – max. | 26-61 | 29-61 | 26-59 |
| Gender, | |||
| Female | 8 | 5 | 3 |
| Profession, | |||
| MH professional1 | 7 | 4 | 3 |
| Service dev., proj. mgr.2 | 4 | 1 | 3 |
| Director, leadership | 3 | 1 | 2 |
| Consultant, advisor | 2 | 2 | 0 |
| Managing role, | |||
| Yes | 6 | 3 | 3 |
| Field experience, | |||
| < 3 years | 3 | 0 | 3 |
| 3 – 5 years | 4 | 3 | 1 |
| 6 – 10 years | 5 | 3 | 2 |
| > 10 years | 4 | 2 | 2 |
| Experience with iCBT, | |||
| Yes | 7 | 6 | 1 |
1 MH professional means mental health professionals such as psychiatrist, psychologist, mental health nurse, etc
2 Service dev., proj. mgr. means roles of service developer or project manager
Extended demographics of delivery staff, pooled and per implementation wave
| Variable | Pooled | Wave 1 | Wave 2 |
|---|---|---|---|
| Sample, | 111 (100) | 48 (43) | 63 (57) |
| Gender, | |||
| Female | 80 (73) | 36 (77) | 44 (70) |
| Profession, | |||
| GP | 31 (28) | 0 (0) | 31 (49) |
| Licenced psychologist | 20 (18) | 10 (21) | 10 (16) |
| Psychologist in training | 30 (27) | 29 (62) | 1 (2) |
| Psychiatrist | 6 (5) | 1 (2) | 5 (8) |
| General mental health worker | 6 (5) | 1 (2) | 5 (8) |
| Other | 17 (15) | 6 (13) | 11 (17) |
| Experience in mental health care, | |||
| < 3 years | 18 (17) | 7 (15) | 11 (18) |
| 3 – 5 years | 18 (17) | 12 (26) | 6 (10) |
| 6 – 10 years | 23 (21) | 15 (32) | 8 (13) |
| > 10 years | 49 (45) | 13 (28) | 36 (59) |
| Experience with iCBT, | |||
| Provided a patient < 4 times iCBT | 62 (58) | 19 (42) | 43 (69) |
| Provided a patient 5 – 10 times iCBT | 11 (10) | 8 (18) | 3 (5) |
| Provided a patient 11 – 15 times iCBT | 8 (8) | 6 (13) | 3 (5) |
| Provided a patient 16 – 20 times iCBT | 4 (4) | 0 (0) | 4 (6) |
| Provided a patient > 20 times iCBT | 21 (20) | 12 (27) | 9 (15) |
| Received iCBT training, | |||
| Yes | 82 (75) | 38 (81) | 44 (71) |
| If yes: type of iCBT training received, | |||
| Technical | 34 (39) | 6 (20) | 28 (49) |
| Therapeutic | 4 (5) | 1 (3) | 3 (5) |
| Both | 47 (54) | 23 (77) | 24 (42) |
| Other | 2 (2) | 0 (0) | 2 (4) |
| State of change in delivering iCBT, | |||
| Orienting | 8 (8) | 4 (8) | 4 (8) |
| Gained some insight | 22 (22) | 8 (17) | 14 (26) |
| Decided to change | 4 (4) | 2 (4) | 2 (4) |
| Trialling usage | 34 (34) | 10 (21) | 24 (45) |
| It is normal | 33 (33) | 24 (50) | 9 (17) |
| Perceive an efficiency gain through delivering iCBT, | |||
| Strongly disagree | 3 (3) | 1 (2) | 2 (4) |
| Disagree | 13 (13) | 8 (19) | 5 (9) |
| Disagree nor agree | 29 (29) | 15 (35) | 14 (25) |
| Agree | 41 (41) | 10 (23) | 31 (54) |
| Strongly agree | 14 (14) | 9 (21) | 5 (9) |
1 Item-nonresponse: 21.6 % due to not all service deliverers received a training prior to filling out the demographics survey
2 Item-nonresponse: 9%
3 Item-nonresponse: 10%
Item and questionnaire scores of perceived usability (SUS-10) and satisfaction (CSQ-3) with iCBT services and organisational implementation climate (OIC) by professionals at post study
| Measure1 | Item2 | Scale3 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean (SD) | Median | Min | Max | Mean (SD) | Median | Min | Max | Alpha4 (95%CI) | |||
| SUS-10 | 111 | 3.04 (0.29) | 3.00 | 2.14 | 3.80 | 103 | 63.76 (15.53) | 67.50 | 27.50 | 90.00 | 0.83 (0.75-0.90) |
| Wave 1 | 48 | 2.99 (0.20) | 3.00 | 2.70 | 3.60 | 48 | 70.26 (10.82) | 72.50 | 42.50 | 90.00 | 0.76 (0.65-0.85) |
| Wave 2 | 63 | 3.08 (0.34) | 3.10 | 2.14 | 3.80 | 55 | 58.09 (16.84) | 57.50 | 27.50 | 90.00 | 0.84 (0.77-0.90) |
| CSQ-3 | 111 | 3.02 (0.66) | 3.00 | 1.00 | 4.00 | 108 | 9.11 (1.96) | 9.00 | 3.00 | 12.00 | 0.82 (0.73-0.89) |
| Wave 1 | 48 | 3.13 (0.51) | 3.00 | 2.00 | 4.00 | 48 | 9.40 (1.54) | 9.00 | 6.00 | 12.00 | 0.65 (0.49-0.78) |
| Wave 2 | 63 | 2.93 (0.75) | 3.00 | 1.00 | 4.00 | 60 | 8.88 (2.23) | 9.00 | 3.00 | 12.00 | 0.89 (0.83-0.93) |
| OIC | 111 | 3.62 (0.46) | 3.58 | 2.50 | 4.92 | 89 | 43.21 (5.62) | 43.00 | 30.00 | 59.00 | 0.76 (0.64-0.85) |
| Wave 1 | 48 | 3.57 (0.46) | 3.54 | 2.75 | 4.92 | 47 | 42.96 (5.50) | 43.00 | 33.00 | 59.00 | 0.76 (0.64-0.85) |
| Wave 2 | 63 | 3.66 (0.47) | 3.70 | 2.50 | 4.75 | 42 | 43.50 (5.81) | 43.00 | 30.00 | 54.00 | 0.77 (0.67-0.86) |
1 SUS (10 items) applied a 5-point Likert scale with 1 = strongly disagree to 5 = strongly agree. Negative SUS items were rescored to align with positive worded items. CSQ (3 items) applied a 4-point scale with differing response options indicating agreement with statements. OIC (12 questions) applied a 5-point Likert scale with 1= strongly disagree to 5 = strongly agree
2 Item statistics using raw item ratings. All cases with more than one item rated were included
3 Scale statistics using summed item rating scores. For SUS-10, the summed item ratings were converted to a 0-100 scale following Brook (1996). Only complete cases were included
4 Standardised Cronbach’s alpha using a correlation matrix
Fig. 2a Boxplot indicating the quartiles and response distribution of the SUS, CSQ and OIC questions. b Scatter plot indicating the distribution of item responses and illustrating degree of correlation of responses for SUS and CSQ items with OIC questions. Blue and red dots represent SUS and CSQ data points respectively. The blue and red lines represent the linear regression models between respectively SUS and OIC, and CSQ and OIC. The shaded area indicates the 95% confidence interval around the regression lines