Factors That Influence Home Care Case Managers' Work and Workload
Bibliographic record
Abstract
BACKGROUND: Home care services are increasing across Canada and in other developed nations. There has been increased pressure on home care programs to not only accept more clients more rapidly but also work more efficiently. Case management is an approach through which clients access and receive home care. With both rising numbers of clients and growing complexity among them, case managers' work and workload are also increasing. The demands on case managers and expansion in caseloads are happening without an increase in resources or funding. With case manager work increasing steadily, an understanding of the factors that influence their work and workload is vital. PURPOSE: The purpose of this study was to explore what factors influence case managers' work and workload. METHODS: This study used an ethnographic approach. It took place in Alberta, Canada, in 3 home care offices in urban and suburban geographic areas. Purposive sampling was used, and participants included 28 home care case managers with predominantly long-term clients (>3 months on home care), 3 site managers, and 1 project lead. Data collection methods included semistructured interviews, nonparticipant observation, participant journaling, and focus groups. RESULTS: Case manager works were portrayed in 2 key ways: the number and type of tasks a case manager was required to complete and the amount of time and energy needed to complete a task. The factors that influence case manager work and workload fall into 3 overarching categories: structural, operational, or individual factors. DISCUSSION: The 3 overarching categories, as well as interactions between various factors, contribute to what is known about case managers' work and workload. Participants found it difficult to discuss the factors in isolation because the interaction and "messiness" of the factors were inherent in their actions and stories about their work and workload. Workload includes not only the easily captured work such as direct care and specific activities such as assessment but also diverse forms of invisible work such as problem solving, rapport building, and caseload management, as well as emotional work such as coping, stress management, and team support. IMPLICATIONS FOR CASE MANAGEMENT: Case managers' work and workload in home care are important phenomena. In a climate of budgetary restraint and an aging population, which seemingly prefer home care as much as the system desires to provide it as a main option for care, it is important to capture, recognize, and legitimize an understanding of case managers' work and workload. Increased knowledge in this area could, in turn, transforms both home care and case management.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".