Background
Methods
Scope of this review
Design
Eligibility
Search strategy
Identification of eligible publications
Extraction of data from eligible publications
Psychometric coding
Setting, sample, and characteristics of the innovation being assessed
Face and content validity
Construct and criterion validity
Internal consistency and test-retest reliability
Responsiveness, acceptability, feasibility, revalidation, and cross-cultural adaptation
CFIR coding
Analysis
Results
Identified measures of implementation constructs
Psychometric properties of measures
Setting, sample, and characteristics of the innovation being assessed
Measure | Country | Setting | Characteristics of the innovation being assessed | Sample size | Response rate | Gender and profession of participants (Standard 1.8)a |
---|---|---|---|---|---|---|
Schools | ||||||
Adopter Characteristics Scale [43] | USA | Schools in Texas (number not reported) | Adoption and use of a classroom educational programme for tobacco prevention | n = 131 | 54 % | Second grade teachers |
Awareness and Concern Instrument [51] | USA | School districts in North Carolina with at least two junior high or middle schools (n = 21) | Awareness, concern, and interest in adopting and implementing tobacco prevention the curricula | n = 917 | Not reported | Central office administrators Principals Teachers |
Health Teaching Self-Efficacy (HTSE) Scale [47] | USA | Schools in the Region IV district of the Texas Education Agency (number not reported) | Ability to implement health teaching in the classroom | n = 31 | Not reported | Junior high teachers Senior high teachers |
Index of Inter-professional Team Collaboration-Expanded School Mental Health (IITC-ESMH) [50] | USA | Schools across the USA (number not reported) | Level of inter-professional collaboration occurring to implement learning support and mental health promotion strategies in schools | n = 436 | Not reported | Female = 88 % School-employed mental health workers (e.g. school counsellors) Community-based mental health workers (e.g. clinical psychologists) School nurses Educators |
McKinney-Vento Act Implementation Scale (MVAIS) [40] | USA | Illinois Association of School Social Workers annual conference | Perceived knowledge and awareness regarding implementation of the McKinney-Vento Act | n = 201 | 40 % | Female = 92 % School social workers |
Organisational Climate Instrument [51] | USA | School districts in North Carolina with at least two junior high or middle schools (n = 21) | Perceptions regarding the organisational climate in schools adopting tobacco prevention curricula | n = 910 | Not reported | Central office administrators Principals Teachers |
Perceived Attributes of the Healthy Schools Approach Scale [42] | Canada | Schools in Quebec (n = 107) | Perceived attributes of a health promoting school initiative | n = 141 | 28 % | Female = 62 % Principals School health promotion delegates |
Policy Characteristics Scale [52] | Belgium | Flemish secondary schools, including community schools, and subsidised public and private schools (n = 37) | Perceptions of a new teacher evaluation policy | n = 347 | 82 % | Female = 58 % Teachers |
Role-Efficacy Belief Instrument (REBI) [45] | USA | Schools in a state recently mandating sexuality education (number not reported) | Role-efficacy related to the successful implementation of a mandated sexuality curriculum | n = 123 | Not reported | Female = 67 % County-level curriculum coordinators |
Rogers’s Adoption Questionnaire [51] | USA | School districts in North Carolina with at least two junior high or middle schools (n = 21) | Perceptions regarding the characteristics of three different tobacco prevention curricula | n = 251 | Not reported | Central office administrators Teachers |
School Wellness Policy Instrument (WPI) [48] | USA | Public elementary schools in Mississippi (n = 30) | Acceptance and implementation of nutrition competencies as part of a school wellness policy | n = 947 | 34 % | Teachers |
School-level Environment Questionnaire—South Africa (SLEQ-SA) [38] | South Africa | Secondary schools in the Limpopo Province (n = 54) | Perceptions of the school-level environment with regard to the implementation of outcomes-based education | n = 403 | Not reported | Teachers |
School Success Profile—Learning Organisation (SSP-LO) Measure [39] | USA | Public middle schools in North Carolina (n = 11) | Perceptions of organisational learning as part of an evaluation of the effectiveness and sustainability of the School Success Profile Intervention Package | n = 766 | 80 % | Teachers Specialists Teacher assistants Administrators Other employees (e.g. cafeteria workers) |
School Readiness for Reforms—Leader Questionnaire (SRR-LQ) [41] | USA | Elementary, middle, and high schools in nine districts from South-west Florida (n = 169) | Perceptions regarding school readiness for the implementation of reforms including standards-based testing | n = 167 | 99 % | Leaders from elementary schools (e.g. principals, assistant principals, curriculum specialists) Leaders from high schools Leaders from middle schools |
USA | Elementary, middle, and secondary public schools in Maryland, Michigan, Minnesota, New Hampshire, and Oregon who were implementing school-wide positive behaviour support (n = 14) | Evaluation of school capacity to sustain school-wide positive behaviour support | n = 25 | Not reported | Internal school team leaders External district coaches | |
Teacher Receptivity Measure [44] | USA | Elementary schools in Texas (number not reported) | Views towards the implementation of the smoke-free class of 2000 teaching kit | n = 216 | 79 % | First grade teachers |
Universities/colleges | ||||||
Kazakhstan | Private institutions of higher learning in Almaty and Astana (n = 3) | Intention to adopt mobile commerce | n = 345 | 51 % | Female = 50 % University students | |
Perceived Attributes of eHealth Innovations Questionnaire [53] | USA | Education providers including community colleges, state colleges and universities from across the United States (n = 12) | Perceived attributes of a technological innovation for health education | n = 193 | 84 % | Male = 53 % Sophomores Freshman Juniors Seniors |
Perceived Usefulness and Ease of Use Scale [56] | USA | Business school at Boston University | Evaluation of usefulness and ease of use of two computer programmes | n = 40 | 93 % | MBA students |
Post-adoption Information Systems Usage Measure [59] | USA | University in the United States | Post-adoption perceptions of a self-service, web-based student information system | n = 1008 | Not reported | Females = 53 % University students |
Social Influence on Innovation Adoption Scale [60] | Australia | University of South Australia | Attitudes towards adopting advanced features of email software | n = 275 | 15 % | Female = 64 % Academic staff Professional staff |
Australia | Metropolitan university in Australia | Readiness to adopt an online approach to teaching and learning | n = 254 | 52 % | Female = 65 % University students | |
Pharmacies | ||||||
Facilitators of Practice Change Scale [63] | Australia | Australian community pharmacies (n = 735) | Facilitators of practice change with regard to the implementation of cognitive pharmaceutical services in community pharmacies | n = 1303 | Not reported | Proprietor pharmacists Employee pharmacists Pharmacy assistants (including technicians) |
Leeds Attitude Towards Concordance (LATCon) Scale [62] | Finland | Finnish community pharmacies (number not reported) | Attitudes towards the implementation of a new counselling model based on concordance and mutual decision-making between pharmacists and patients | n = 376 | 51 % | Community pharmacists |
Perceived Barriers to the Provision of Pharmaceutical Care Questionnaire [61] | China | Community pharmacies in Xian, China (number not reported) | Attitudes and barriers to the implementation of pharmaceutical care | n = 101 | 78 % | Female = 82 % Prescription checking staff Quality assurance staff Staff managers |
Police/correctional facilities | ||||||
Perceptions of Organisational Readiness for Change [65] | USA | Juvenile justice offices (n = 12) | Perceptions of organisational readiness to implement an innovation consisting of screening, assessment, and referral strategies | n = 231 | Not reported | Female = 58 % Case-workers Managers Front-line supervisors |
Receptivity to Organisational Change Questionnaire [64] | USA | Districts I and II of the Hillsborough County, Florida Sheriff’s Office (n = 2) | Attitudes regarding an agency-wide shift towards community-oriented policing | n = 204 | 98 % | Patrol deputies Other sworn employees |
Nursing homes | ||||||
Intervention Process Measure (IPM) [67] | Denmark | Elderly care centres (n = 2) | Assessment of employee perceptions related to the implementation of self-managed teams | n = 163 | 81 % | Female = 93 % Healthcare assistants Nurses Other health educated staff Staff with no healthcare education |
Staff Attitudes to Nutritional Nursing (SANN) Care Scale [66] | Sweden | Residential units in a municipality of southern Sweden (n = 8) | Attitudes of nursing staff towards the implementation of nutritional nursing care | n = 176 | 95 % | Registered nurses Nurse aids |
Whole communities/multiple settings | ||||||
Netherlands | Education-related settings from 39 countries including elementary, secondary, university, vocational, and company training settings (number not reported) | Likelihood of using telecommunications-related technological innovations in learning-related settings | n = 550 | Not reported | Instructors Students Administrators Educational support unit members Technical support unit members Researchers | |
Attitudes Towards Asthma Care Mobile Service Adoption Scale [94] | Taiwan | General community | Attitudes and behavioura towards the adoption of a asthma care mobile service | n = 229 | 57 % | Male = 63 % |
Intention to Adopt Multimedia Messaging Service Scale [69] | Taiwan | General community | Attitudes towards and intention to adopt multimedia messaging services | n = 112 | Not reported | Male = 55 % Students Electronics or IT sector employees Education sector employees Financial services, entertainment, media, government, health care, and law office employees |
USA | Education settings, mental health services, family assistance organisations, child welfare services, juvenile justice services and medical services from 225 counties across the USA (number not reported) | Level of implementation of factors contributing to effective children’s systems of care | n = 910 | 42 % | Female = 72 % | |
USA | Elementary schools and higher education institutions in the USA (number not reported) | Concerns about innovations including team teaching in elementary schools and using instructional modules in colleges | n = 830 | Not reported | Public school teachers College professors Specialists Teacher assistants Administrators Other employees (e.g. cafeteria workers) | |
Telepsychotherapy Acceptance Questionnaire [75] | Canada | First nations communities in Quebec (n = 32) | Attitudes and perceptions of adoption and referral to telepsychotherapy delivered via videoconference | n = 205 | 77 % | Female = 70 % Community elders/natural helpers Social assistants/social workers Nurses/school nurses Psychoeducators Educators/teachers Psychologists Social interveners Community health representatives Non-professionals |
Other workplaces/organisations | ||||||
Adoption of Customer Relationship Management Technology Scale [88] | USA | A national buying cooperative for hardware and variety businesses in the USA | Facilitators to adopting customer relationship management technology | n = 386 | 48 % | Owner-operators of hardware and variety businesses |
Coping with Organisational Change Scale [83] | USA | International organisations including Australian banks, a Scandinavian shipping company, a United Kingdom oil company, a US university and a Korean manufacturing company (n = 6) | Ability to cope with organisational change including reorganisation and downsizing, managerial changes, mergers and acquisitions, and business divestments | n = 514 | 71 % | Male = 91 % Middle and upper-level managers |
Data Mining Readiness Index (DMRI) [80] | Malaysia | Telecommunication organisations (number not reported) | Readiness to adopt data mining technologies | n = 106 | 43 % | Telecommunications employees |
USA | High-technology companies, primarily in the aerospace and electronics industries (number not reported) | Attitudes towards innovation within groups developing new component-testing programmes, systems-level integration projects, engineering audit procedures, and failure analyses | n = 244 | Not reported | Managers/supervisors Engineers/scientists | |
Intention to Adopt Electronic Data Interchange Questionnaire [79] | Canada | Purchasing Managers’ Association of Canada (PMAC) | Intention to adopt electronic data interchange | n = 337 | 58 % | Senior purchasing managers |
Organisational Change Questionnaire-Climate of Change, Processes, and Readiness (OCQ-C, P, R) [77] | Belgium | Belgian organisations from sectors including information technology, petrochemicals, telecommunications, consumer products, finance, insurance, consultancy, healthcare, and government services (n = 42) | Attitudes towards recently announced, large-scale change including downsizing, reengineering, total quality management, culture change, and technological innovation | n = 1358 | Not reported | Male = 64 % |
Organisational Learning Capacity Scale (OLCS) [76] | USA | Human service organisations from a Southern United States city (n = 5) | Organisational readiness for change towards primary prevention, strength-based approach, empowerment, and changing community conditions | n = 125 | 50 % | Female = 79 % |
Organisational Capacity Measure-Chronic Disease Prevention and Healthy Lifestyle Promotion [81] | Canada | Public health organisations in Canada including government departments, regional health authorities, public health units, and other professional and non-government organisations (n = 216) | Organisational capacity in public health systems to develop, adopt, or implement chronic disease prevention and healthy lifestyle programmes | n = 216 | Not reported | Senior/middle managers Service providers Professional staff |
Organisational Environment and Processes Scale [89] | USA | Fortune 1000 companies (manufacturing firms, service organisations) and large government agencies (n = 710) | Perceptions of structures and processes related to the adoption of an administrative innovation (Total Quality Management) by Information Systems departments in organisations | n = 123 | 17 % | Senior Information Systems Executives |
Perceived Characteristics of Innovating (PCI) Scale [87] | Canada | Utility companies, resource-based companies, government departments and a natural grains pool (n = 7) | Perceptions regarding the adoption of personal work stations | n = 540 | 68 % | Executive and middle management First-line supervisors Non-management professionals Technical and clerical staff |
Perceived Strategic Value and Adoption of eCommerce Scale [90] | Ghana | Small and medium-sized enterprises (200 employees or less) (n = 107) | Perceived strategic value of adopting eCommerce | n = 107 | 54 % | Owners/managers |
South Africa | Business organisations in South Africa (n = 875) | Readiness to adopt eCommerce | n = 150 | 19 % | Chief Executive Officers Managing directors General managers Directors of finance, IT, eCommerce and marketing | |
Readiness for Organisational Change Measure [82] | USA | Government organisation responsible for developing fielding information systems for the Department of Defence | Readiness for a new organisation structure that clarified lines of authority and eliminated duplicate functions | n = 264 | 53 % | Male = 59 % Computer analysts and programmers |
Technology Acceptance Model 2 (TAM2) Scale [96] | United States | Manufacturing firm, financial services firm, accounting services firm, international investment banking firm (n = 4) | Perceived usefulness and ease of use of a new software system | n = 156 | 78 % | Manufacturing floor supervisors Financial services workers Accounting services workers Investment banking workers |
Total Quality Management (TQM) and Culture Survey [92] | USA | Manufacturing firm, non-profit service agency, university (n = 3) | Perceived organisational culture and implementation of total quality management practices | n = 886 | 95 % | Manufacturing firm employees Non-profit service agency employees Government employees Service agency employees Educational institute employees |
Worksite Health Promotion Capacity Instrument (WHPCI) [84] | Germany | Information and communication technology companies in Germany (n = 522) | Willingness and capacity to implement worksite health promotion activities | n = 522 | 21 % | Managing director/board of directors Division head/senior department head Department head Human resources manager/director Owner/proprietor Assistant to executive management |
Face and content validity
Construct and criterion validity
Internal consistency and test-retest reliability
Responsiveness, acceptability, feasibility, revalidation, and cross-cultural adaptation
Measure | Face/content validity | Construct validity | Criterion validity | Internal consistency | Test-retest reliability | Responsiveness | Acceptability/feasibility | Revalidation/cross-cultural |
---|---|---|---|---|---|---|---|---|
Schools | ||||||||
Adopter Characteristics Scale [43] | – | ✓ | – | ✓ | – | – | – | – |
Awareness and Concern Instrument [51] | ✓ | ✓ | – | ✓ | – | – | – | – |
Health Teaching Self-efficacy (HTSE) Scale [47] | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | – | – |
Index of Inter-professional Team Collaboration-Expanded School Mental Health (IITC-ESMH) [50] | ✓ | ✓ | – | ✓ | – | – | – | – |
McKinney-Vento Act Implementation Scale (MVAIS) [40] | ✓ | ✓ | – | ✓ | – | – | – | ✓ |
Organisational Climate Instrument [51] | ✓ | ✓ | – | ✓ | – | – | – | – |
Perceived Attributes of the Healthy Schools Approach Scale [42] | ✓ | ✓ | – | ✓ | – | – | – | – |
Policy Characteristics Scale [52] | ✓ | ✓ | – | ✓ | – | – | ✓ | – |
Role-Efficacy Belief Instrument (REBI) [45] | ✓ | ✓ | – | ✓ | – | – | – | – |
Rogers’s Adoption Questionnaire [51] | ✓ | ✓ | – | ✓ | – | – | – | – |
School Wellness Policy Instrument (WPI) [48] | ✓ | ✓ | – | ✓ | – | – | – | – |
School-level Environment Questionnaire—South Africa (SLEQ-SA) [38] | ✓ | ✓ | ✓ | ✓ | – | ✓ | – | ✓ |
School Success Profile-Learning Organisation Measure (SSP-LO) [39] | ✓ | ✓ | – | ✓ | – | – | ✓ | ✓ |
School Readiness for Reforms-Leader Questionnaire (SRR-LQ) [41] | ✓ | ✓ | – | ✓ | – | – | – | – |
School-wide Universal Behaviour Sustainability \Index-School Teams (SUBSIST) [49] | ✓ | ✓ | – | ✓ | ✓ | – | – | – |
Teacher Receptivity Measure [44] | ✓ | ✓ | – | ✓ | – | – | – | – |
Universities/colleges | ||||||||
✓ | ✓ | – | ✓ | – | – | – | ✓ | |
Perceived Attributes of eHealth Innovations Questionnaire [53] | ✓ | ✓ | – | ✓ | – | – | – | – |
Perceived Usefulness and Ease of Use Scale [56] | ✓ | ✓ | – | ✓ | – | – | – | ✓ |
Post-adoption Information Systems Usage Measure [59] | ✓ | ✓ | ✓ | ✓ | – | – | ✓ | – |
Social Influence on Innovation Adoption Scale [60] | ✓ | ✓ | – | ✓ | – | – | – | – |
✓ | ✓ | ✓ | ✓ | – | – | – | – | |
Pharmacies | ||||||||
Facilitators of Practice Change Scale [63] | ✓ | ✓ | – | ✓ | – | – | ✓ | – |
Leeds Attitude Towards Concordance (LATCon) Scale (Pharmacists) [62] | ✓ | ✓ | – | ✓ | – | – | – | ✓ |
Perceived Barriers to the Provision of Pharmaceutical Care Questionnaire [61] | ✓ | ✓ | – | ✓ | – | – | – | – |
Police/correctional facilities | ||||||||
Perceptions of Organisational Readiness for Change [65] | – | ✓ | – | ✓ | – | ✓ | – | – |
Receptivity to Organisational Change Questionnaire [64] | – | ✓ | – | ✓ | – | – | ✓ | – |
Nursing homes | ||||||||
Intervention Process Measure (IPM) [67] | ✓ | ✓ | – | ✓ | – | ✓ | ✓ | – |
Staff Attitudes to Nutritional Nursing Care (SANN) Scale [66] | ✓ | ✓ | – | ✓ | – | – | – | ✓ |
Whole communities/multiple settings | ||||||||
✓ | ✓ | ✓ | – | – | – | – | – | |
Attitudes Towards Asthma Care Mobile Service Adoption Scale [94] | ✓ | ✓ | – | ✓ | – | ✓ | ✓ | – |
Intention to Adopt Multimedia Messaging Service Scale [69] | ✓ | ✓ | – | ✓ | – | ✓ | ✓ | – |
✓ | ✓ | ✓ | ✓ | – | – | – | – | |
✓ | ✓ | – | ✓ | ✓ | – | ✓ | ✓ | |
Telepsychotherapy Acceptance Questionnaire [75] | ✓ | ✓ | – | ✓ | – | ✓ | – | – |
Other workplaces/organisations | ||||||||
Adoption of Customer Relationship Management Technology Scale [88] | ✓ | ✓ | – | ✓ | – | – | – | – |
Coping with Organisational Change Scale [83] | ✓ | ✓ | – | ✓ | – | – | – | – |
Data Mining Readiness Index (DMRI) [80] | ✓ | ✓ | – | ✓ | – | – | – | – |
✓ | ✓ | – | ✓ | – | – | – | ✓ | |
Intention to Adopt Electronic Data Interchange Questionnaire [79] | ✓ | ✓ | – | ✓ | – | – | – | – |
Organisational Change Questionnaire-Climate of Change, Processes, and Readiness (OCQ-C, P, R) [77] | ✓ | ✓ | ✓ | ✓ | – | – | – | ✓ |
Organisational Learning Capacity Scale (OLCS) [76] | ✓ | ✓ | – | ✓ | – | – | – | – |
Organisational Capacity Measure-Chronic Disease Prevention and Healthy Lifestyle Promotion [81] | ✓ | ✓ | – | ✓ | – | – | – | – |
Organisational Environment and Processes Scale [89] | – | ✓ | – | ✓ | – | – | – | – |
Perceived Characteristics of Innovating (PCI) Scale [87] | ✓ | ✓ | ✓ | ✓ | – | – | – | ✓ |
Perceived Strategic Value and Adoption of eCommerce Scale [90] | ✓ | ✓ | – | ✓ | – | – | – | – |
✓ | ✓ | – | ✓ | – | ✓ | – | ✓ | |
Readiness for Organisational Change Measure [82] | ✓ | ✓ | – | ✓ | – | – | – | – |
Technology Acceptance Model 2 (TAM2) Scale [96] | ✓ | ✓ | – | ✓ | – | – | – | ✓ |
Total Quality Management (TQM) and Culture Survey [92] | ✓ | ✓ | – | ✓ | – | – | – | – |
Worksite Health Promotion Capacity Instrument (WHPCI) [84] | ✓ | ✓ | – | ✓ | – | – | ✓ | – |