| Literature DB >> 35980464 |
Hely Shah1, Lisa Vandermeer2, Fiona MacDonald3, Gail Larocque1,3, Shannon Nelson1, Mark Clemons2,4,5, Sharon F McGee6,7,8.
Abstract
RATIONALE: Patient support lines (PSLs) assist in triaging clinical problems, addressing patient queries, and navigating a complex multi-disciplinary oncology team. While providing support and training to the nursing staff who operate these lines is key, there is limited data on their experience and feedback.Entities:
Keywords: Healthcare survey; Oncology nursing; Oncology service hospital; Telephone
Year: 2022 PMID: 35980464 PMCID: PMC9387415 DOI: 10.1007/s00520-022-07327-5
Source DB: PubMed Journal: Support Care Cancer ISSN: 0941-4355 Impact factor: 3.359
Checklist for Reporting Results of Internet E-Surveys (CHERRIES) [17]
| Checklist item | Explanation | Page number |
|---|---|---|
| Describe survey design | Describe target population, sample frame. Is the sample a convenience sample? (In “open” surveys this is most likely) | 8 |
| IRB approval | Mention whether the study has been approved by an IRB | 10 |
| Informed consent | Describe the informed consent process. Where were the participants told the length of time of the survey, which data were stored and where and for how long, who the investigator was, and the purpose of the study? | 9 |
| Data protection | If any personal information was collected or stored, describe what mechanisms were used to protect unauthorized access | 9, 10 |
| Development and testing | State how the survey was developed, including whether the usability and technical functionality of the electronic questionnaire had been tested before fielding the questionnaire | 8, 9 |
| Open survey versus closed survey | An “open survey” is a survey open for each visitor of a site, while a closed survey is only open to a sample which the investigator knows (password-protected survey) | 9 |
| Contact mode | Indicate whether or not the initial contact with the potential participants was made on the Internet. (Investigators may also send out questionnaires by mail and allow for Web-based data entry.) | 9 |
| Advertising the survey | How/where was the survey announced or advertised? Some examples are offline media (newspapers), or online (mailing lists—If yes, which ones?) or banner ads (Where were these banner ads posted and what did they look like?). It is important to know the wording of the announcement as it will heavily influence who chooses to participate. Ideally the survey announcement should be published as an appendix | 9 |
| Web/E-mail | State the type of e-survey (e.g., one posted on a Web site, or one sent out through e-mail). If it is an e-mail survey, were the responses entered manually into a database, or was there an automatic method for capturing responses? | 9 |
| Context | Describe the Web site (for mailing list/newsgroup) in which the survey was posted. What is the Web site about, who is visiting it, what are visitors normally looking for? Discuss to what degree the content of the Web site could pre-select the sample or influence the results. For example, a survey about vaccination on an anti-immunization Web site will have different results from a Web survey conducted on a government Web site | 9 |
| Mandatory/voluntary | Was it a mandatory survey to be filled in by every visitor who wanted to enter the Web site, or was it a voluntary survey? | 9 |
| Incentives | Were any incentives offered (e.g., monetary, prizes, or non-monetary incentives such as an offer to provide the survey results)? | 9 |
| Time/Date | In what timeframe were the data collected? | 9 |
| Randomization of items or questionnaires | To prevent biases items can be randomized or alternated | Not done |
| Adaptive questioning | Use adaptive questioning (certain items, or only conditionally displayed based on responses to other items) to reduce number and complexity of the questions | Not done |
| Number of Items | What was the number of questionnaire items per page? The number of items is an important factor for the completion rate | 8, 9 |
| Number of screens (pages) | Over how many pages was the questionnaire distributed? The number of items is an important factor for the completion rate | 9 |
| Completeness check | It is technically possible to do consistency or completeness checks before the questionnaire is submitted. Was this done, and if “yes”, how (usually JAVAScript)? An alternative is to check for completeness after the questionnaire has been submitted (and highlight mandatory items). If this has been done, it should be reported. All items should provide a non-response option such as “not applicable” or “rather not say”, and selection of one response option should be enforced | Not done |
| Review step | State whether respondents were able to review and change their answers (e.g., through a Back button or a Review step which displays a summary of the responses and asks the respondents if they are correct) | Not applicable |
| Unique site visitor | If you provide view rates or participation rates, you need to define how you determined a unique visitor. There are different techniques available, based on IP addresses or cookies or both | 10 |
| View rate (ratio of unique survey visitors/unique site visitors) | Requires counting unique visitors to the first page of the survey, divided by the number of unique site visitors (not page views!). It is not unusual to have view rates of less than 0.1% if the survey is voluntary | 10 |
| Participation rate (Ratio of unique visitors who agreed to participate/unique first survey page visitors) | Count the unique number of people who filled in the first survey page (or agreed to participate, for example by checking a checkbox), divided by visitors who visit the first page of the survey (or the informed consents page, if present). This can also be called “recruitment” rate | 10 |
| Completion rate (Ratio of users who finished the survey/users who agreed to participate) | The number of people submitting the last questionnaire page, divided by the number of people who agreed to participate (or submitted the first survey page). This is only relevant if there is a separate “informed consent” page or if the survey goes over several pages. This is a measure for attrition. Note that “completion” can involve leaving questionnaire items blank. This is not a measure for how completely questionnaires were filled in. (If you need a measure for this, use the word “completeness rate”) | 10 |
| Cookies used | Indicate whether cookies were used to assign a unique user identifier to each client computer. If so, mention the page on which the cookie was set and read, and how long the cookie was valid. Were duplicate entries avoided by preventing users’ access to the survey twice; or were duplicate database entries having the same user ID eliminated before analysis? In the latter case, which entries were kept for analysis (e.g., the first entry or the most recent)? | No cookies assigned |
| IP check | Indicate whether the IP address of the client computer was used to identify potential duplicate entries from the same user. If so, mention the period of time for which no two entries from the same IP address were allowed (e.g., 24 h). Were duplicate entries avoided by preventing users with the same IP address access to the survey twice; or were duplicate database entries having the same IP address within a given period of time eliminated before analysis? If the latter, which entries were kept for analysis (e.g., the first entry or the most recent)? | No IP check |
| Log file analysis | Indicate whether other techniques to analyze the log file for identification of multiple entries were used. If so, please describe | Not done |
| Registration | In “closed” (non-open) surveys, users need to login first and it is easier to prevent duplicate entries from the same user. Describe how this was done. For example, was the survey never displayed a second time once the user had filled it in, or was the username stored together with the survey results and later eliminated? If the latter, which entries were kept for analysis (e.g., the first entry or the most recent)? | Not done |
| Handling of incomplete questionnaires | Were only completed questionnaires analyzed? Were questionnaires which terminated early (where, for example, users did not go through all questionnaire pages) also analyzed? | 10 |
| Questionnaires submitted with an atypical timestamp | Some investigators may measure the time people needed to fill in a questionnaire and exclude questionnaires that were submitted too soon. Specify the timeframe that was used as a cut-off point, and describe how this point was determined | Not done |
| Statistical correction | Indicate whether any methods such as weighting of items or propensity scores have been used to adjust for the non-representative sample; if so, please describe the methods | Not done |
Demographic information of nursing respondents
| Survey questions | Number of responses | Choice (number, percentage) |
|---|---|---|
| Number of years worked as an oncology nurse | 30 | 1. < 5 years (2, 6.7%) 2. 5–10 years (9, 30.0%) 3. > 10 years (19, 63.3%) |
| Number of years providing care via TOHCC patient support lines | 30 | 1. < 5 years (13, 43.3%) 2. 5–10 years (11, 36.7%) 3. > 10 years (6, 20.0%) |
| Number of days per week spent providing care on TOHCC patient support lines | 30 | 1. 1 day (25, 83.3%) 2. 2 days (4, 13.3%) 3. 3 days (0, 0.0%) 4. 4 days (0, 0.0%) 5. 5 days (1, 3.3%) |
Characteristics of support line calls as reported by nursing respondents
| Survey questions | Number of responses | Rank list (number, percentage) |
|---|---|---|
| “From your experience, please rank the disease stage that contacts the support line most frequently” | 24 | As first choice: 1. Metastatic patients (17, 70.8%) 2. Adjuvant patients (6, 25%) 3. Wellness/discharge patients (1, 4.2%) As second choice: 1. Metastatic patients (5, 20.8%) 2. Adjuvant patients (17, 70.8%) 3. Wellness/discharge patients (2, 8.3%) As last choice: 1. Metastatic patients (2, 8.3%) 2. Adjuvant patients (1, 4.2%) 3. Wellness/discharge patients (21, 87.5%) |
| “From your experience, please rank the disease sites that contact the support line most frequently” | 30 | As first choice: 1. Breast (18, 60.0%) 2. Gastrointestinal (12, 40.0%) As second choice: 1. Gastrointestinal (16, 53.3%) 2. Breast (8, 26.7%) 3. Lung (3, 10.0%) 4. Genitourinary (3, 10.0%) As third choice: 1. Lung (15, 50.0%) 2. Genitourinary (9, 30.0%) 3. Breast (4, 13.3%) 4. Gastrointestinal (2, 6.7%) As last choice: 1. Genitourinary (18, 60.0%) 2. Lung (12, 40.0%) |
| “Please select the 5 most common types of calls dealt with on the support line.” | 30 | 1. Toxicities of chemotherapy (29, 96.7%) 2. Requests for prescription refills or questions about drug coverage (25, 83.3%) 3. Poorly controlled or new cancer symptoms (20, 66.7%) 4. Treatment or cancer related abnormal test result (18, 60.0%) 5. Questions about booking information (13, 43.3%) 6. Toxicities of immunotherapy (12, 40.0%) 7. Emotional/ psychological support (9, 30.0%) 8. Questions about what MD discussed (8, 26.7%) 9. Toxicities of endocrine therapy (6, 20%) 10. Inadequate social/home supports (6, 20.0%) 11. Other (4, 13.3%) 12. Problems following discharge through the Wellness Program (1, 3.3%) |
| “From your experience, please select the 5 most common symptoms dealt with by the support line.” | 30 | 1. Pain (29, 96.7%) 2. Nausea/Vomiting (27, 90.0%) 3. Constipation/Diarrhea (26, 86.7%) 4. Shortness of breath (21, 70.0%) 5. Fever (9, 30.0%) 6. Rash (9, 30.0%) 7. Swollen extremity (8, 26.7%) 8. Mucositis (7, 23.3%) 9. New lump/skin lesion (5, 16.7%) 10. Other (3, 10.0%) 11. Chemotherapy-related neuropathy (1, 3.3%) 12. PICC/PORT problems (0, 0.0%) |
Respondents experience on PSL including quality of care and appropriate use
| Survey questions | Number of responses | Rank list (number, percentage) |
|---|---|---|
| “I feel that overall patients are happy with the service provided by the support line” | 30 | 1. Strongly agree (4, 13.3%) 2. Agree (17, 56.7%) 3. Neutral (7, 23.3%) 4. Disagree (2, 6.7%) 5. Strongly disagree (0, 0.0%) |
| “I am satisfied with the quality and efficacy of the care I am able to provide patients via the support line” | 30 | 1. Strongly agree (5, 16.7%) 2. Agree (15, 50.0%) 3. Neutral (5, 16.7%) 4. Disagree (5, 16.7%) 5. Strongly disagree (0, 0.0%) |
| Reasons for dissatisfaction with care provided via the support line | 8 | 1. Limited psychosocial support (2, 25.0%) 2. Time constraints/ high call volumes (5, 62.5%) 3. Inappropriate questions asked (2, 25.0%) 4. Having emergency room as the only triage/assessment option (3, 37.5%) 5. Not having patient designated nurses or varied disease site nurses at a given time (1, 12.5%) |
| “The service provided by the support line is appropriately used by patients” | 30 | 1. Strongly agree (1, 3.3%) 2. Agree (11, 36.7%) 3. Neutral (10, 33.3%) 4. Disagree (7, 23.3%) 5. Strongly disagree (1, 3.3%) |
| “The service provided by the support line is appropriately used by physicians” | 30 | 1. Strongly agree (3, 10.0%) 2. Agree (19, 63.3%) 3. Neutral (5, 16.7%) 4. Disagree (2, 6.7%) 5. Strongly disagree (1, 3.3%) |
| “Please select up to 5 [most appropriate uses of support line]” | 30 | 1. Management of urgent treatment related toxicity (29, 96.7%) 2. Management of cancer related symptoms (29, 96.7%) 3. Management of urgent/ critical test results (21, 70.0%) 4. Provision of emotional/psychological support (13, 43.3%) 5. Addressing medication related queries (9, 30.0%) 6. Answering general questions about non-urgent test results, appointment times, things discussed by MD in clinic (9, 30.0%) 7. Any patient issue is appropriate for management by the support line (2, 6.7%) 8. Addressing issues of patients who have been discharged from the cancer center, e.g., Wellness patients (1, 3.3%) 9. Other (1, 3.3%) |
| “Patients having greater/quicker access to their personal health information (clinic notes, test results) via MyChart will reduce the demands on the support line” | 30 | 1. Yes (2, 6.7%) 2. No (24, 80.0%) 3. I don’t know (4, 13.3%) |
Nurses’ perspectives and recommendations to improve the care provided by the support line
| Survey questions | Number of responses | Rank list (number, percentage) |
|---|---|---|
| Nurses who recommend redefining the goals/responsibilities of the PSL for more appropriate use of PSL | 29 | 1. Yes (17, 58.6%) 2. No (6, 20.7%) 3. Unsure (6, 20.7%) |
| “Please choose up to 5 factors that can make providing patient care via the support line challenging” | 30 | 1. High volume of inappropriate/non-urgent calls making it challenging to deal with acute issues (24, 80.0%) 2. Not being able to physically see, and objectively assess, the patient (17, 56.7%) 3. Unclear documentation regarding patient history or care plan (15, 50.0%) 4. Patients contacting multiple sites/numbers for a single issue resulting in duplication of work (15, 50.0%) 5. Lack of clarity/consensus from MDs on how to address common patient issues for all patients (14, 46.7%) 6. Not knowing the patient or clinical situation (14, 46.7%) 7. Inability of nursing to initiate steps in the management of patients in the current system (11, 36.7%) 8. Insufficient training or experience with management of a given disease site or problem (11, 36.7%) 9. Other (7, 23.3%) |
| “Having a standard/consensus TOHCC approach for the management of common patient issues/symptoms would improve the efficacy and quality of care” | 30 | 1. Yes (18, 60.0%) 2. No (1, 3.3%) 3. Unsure (11, 36.7%) |
| “Having a standard/consensus TOHCC approach for the management of common patient issues/symptoms would improve [nursing] experience” | 30 | 1. Yes (17, 56.7%) 2. No (2, 6.7%) 3. Unsure (11, 36.7%) |
| “Guidelines for managing common patient issues/symptoms that [nurses] have used… help develop a standard approach to [patient] care” | 30 | 1. Pan-Canadian Oncology Symptom Triage and Remote Support (COSTaRS) (10, 33.3%) 2. Cancer Care Ontario (CCO) (6, 20.0%) 3. Canadian Association of Nurses in Oncology (CANO) (1, 3.3%) 4. American Society of Clinical Oncology (ASCO) (0, 0.0%) 5. European Society of Medical Oncology (ESMO) (0, 0.0%) 6. I don’t know (5, 16.7%) 7. Other (8, 26.7%) |
Respondents perspectives on other initiatives to improve patient care and nursing experience on the PSL
| Initiatives to improve patient care and nursing experience on patient support line | Number of responses | Rank list (number, percentage) |
|---|---|---|
| Introduction of medical directives to give nursing greater power/autonomy in patient care as appropriate, e.g., order basic labs/tests for patients on EPIC, order basic medications, change patient follow up appointments | 24 | First choice: 6, 25.0% Second choice: 8, 33.3% Third choice: 6, 25.0% Last choice: 4, 16.7% |
| Having a TOHCC Frequently Asked Questions webpage/document to refer patients to for simple/common issues | First choice: 5, 20.8% Second choice: 3, 12.5% Third choice: 5, 20.8% Last choice: 11, 45.8% | |
| Identifying issues that do not need nursing input that could be delegated to another service for management, e.g., clerical team, psychosocial oncology, drug reimbursement, etc | 24 | First choice: 8, 33.3% Second choice: 5, 20.8% Third choice: 8, 33.3% Last choice: 3, 12.5% |
| Having single contact number for the cancer center for all patient issues with subsequent triage to appropriate area (e.g., nursing, booking, reimbursement, PSOP) to reduce duplication of work | 24 | First choice: 5, 20.8% Second choice: 8, 33.3% Third choice: 5, 20.8% Last choice: 6, 25.0% |
| Alternative improvement strategies identified | 14 | 1. Avoid redundant services, e.g., voice mail and Carechart@home, two PSL line numbers (3, 21.4%) 2. Discussion of MyChart queries at scheduled appointments (1, 7.1%) 3. Increased training for clerical staff (4, 28.6%) 4. Nurse-led clinics (1, 7.1%) 5. Patient education on PSL indications and not using it as switchboard (4, 28.6%) 6. Functional cancer center website (1, 7.1%) 7. Physician education PSL use and indications (2, 14.3%) 8. Increased nursing staff on high volume days (2, 14.3%) 9. Distinct palliative care support line (1, 7.1%) |