Making It Happen: Middle Managers' Roles in Innovation Implementation in Health Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Middle managers are given scant attention in the implementation literature in health care, where the focus is on senior leaders and frontline clinicians. AIMS: To empirically examine the role of middle managers relevant to innovation implementation and how middle managers experience the implementation process. METHODS: A qualitative study was conducted using the methods of grounded theory. Data were collected through semistructured interviews with middle managers (N = 15) in Nova Scotia and New Brunswick, Canada. Participants were purposively sampled, based on their involvement in implementation initiatives and to obtain variation in manager characteristics. Data were collected and analyzed concurrently, using an inductive constant comparative approach. Data collection and analysis continued until theoretical saturation was reached. RESULTS: Middle managers see themselves as being responsible for making implementation happen in their programs and services. As a result, they carry out five roles related to implementation: planner, coordinator, facilitator, motivator, and evaluator. However, the data also revealed two determinants of middle managers' role in implementation, which they must negotiate to fulfill their specific implementation roles and activities: (1) They perform many other roles and responsibilities within their organizations, both clinical and managerial in nature, and (2) they have limited decision-making power with respect to implementation and must work within the parameters set by upper levels of the organization. LINKING EVIDENCE TO ACTION: Middle managers play an important role in translating adoption decisions into on-the-ground implementation. Optimizing their capacity to fulfill this role may be key to improving innovation implementation in healthcare organizations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it