Implementing a breast cancer patient decision aid: Process evaluation using medical files and the patients' perspective

Improving sustainability of a patient decision aid for systemic treatment of metastatic colorectal cancer: A qualitative study

Objective

To improve sustainability of a patient decision aid for systemic treatment of metastatic colorectal cancer, we evaluated real-world experiences and identified ways to optimize decision aid content and future implementation.

Methods

Semi-structured interviews with patients and medical oncologists addressed two main subjects: user experience and decision aid content. Content analysis was applied. Fifteen experts discussed the results and devised improvements based on experience and literature review.

Results

Thirteen users were interviewed. They confirmed the relevance of the decision aid for shared decision making. Areas for improvement of content concerned; 1) outdated and missing information, 2) an imbalance in presentation of treatment benefits and harms, and 3) medical oncologists' expressed preference for a more center-specific or patient individualized decision aid, presenting a selection of the guideline recommended treatment options. Key points for improvement of implementation were better alignment within the care pathway, and clear instruction to users.

Conclusion

We identified relevant opportunities for improvement of an existing decision aid and developed an updated version and accompanying implementation strategy accordingly.

Innovation

This paper outlines an approach for continued decision aid and implementation strategy development which will add to sustainability. Implementation success of the improved decision aid is currently being studied in a multi-center mixed-methods implementation study.

Implementing shared decision-making interventions in breast cancer clinical practice: a scoping review

BACKGROUND

Shared decision-making (SDM) is a collaborative process whereby patients and clinicians jointly deliberate on the best treatment option that takes into account patients' preferences and values. In breast cancer care, different treatment options have become available to patients in the last decade. Various interventions, including patient decision aids (PtDAs), have been designed to promote SDM in this disease area. This study aimed at investigating the factors that influence the successful adoption and implementation of SDM interventions in real-world healthcare delivery settings.

METHODS

A scoping review of scientific and grey literature was conducted for the period 2006-2021 to analyse the support for SDM interventions and their adoption in breast cancer clinical practice. The interpretation of findings was based on the Practical, Robust Implementation and Sustainability Model (PRISM) for integrating research findings into practice.

RESULTS

Overall, 19 studies were included for data synthesis, with more than 70% published since 2017. The availability of SDM tools does not automatically translate into their actual use in clinical settings. Factors related to users' co-creation, the clinical team's attitude and knowledge, organisational support and regulatory provisions facilitate the adoption of SDM interventions. However, overlooking aspects such as the re-organisation of care pathways, patient characteristics, and assigning of resources (human, financial, and facilities) can hinder implementation efforts.

CONCLUSIONS

Compared to the mounting evidence on the efficacy of SDM interventions, knowledge to support their sustained implementation in daily care is still limited, albeit results show an increasing interest in strategies that facilitate their uptake in breast cancer care over time. These findings highlight different strategies that can be used to embed SDM interventions in clinical practice. Future work should investigate which approaches are more effective in light of organisational conditions and external factors, including an evaluation of costs and healthcare system settings.

Not Too Little, Not Too Much: Optimizing More Versus Less Locoregional Treatment for Older Patients With Breast Cancer

Although undertreatment of older women with aggressive breast cancers has been a concern for years, there is increasing recognition that some older women are overtreated, receiving therapies unlikely to improve survival or reduce morbidity. De-escalation of surgery may include breast-conserving surgery over mastectomy for appropriate candidates and omitting or reducing extent of axillary surgery. Appropriate patients to de-escalate surgery are those with early-stage breast cancer, favorable tumor characteristics, are clinically node-negative, and who may have other major health issues. De-escalation of radiation includes reducing treatment course length through hypofractionation and ultrahypofractionation regimens, reducing treatment volumes through partial breast irradiation, omission of radiation for select patients, and reducing radiation dose to normal tissues. Shared decision making, which aims to facilitate patients making decisions concordant with their values, can guide health care providers and patients through complicated decisions optimizing breast cancer care.

User Experience of a Computer-Based Decision Aid for Prenatal Trisomy Screening: Mixed Methods Explanatory Study

BACKGROUND

Mobile health tools can support shared decision-making. We developed a computer-based decision aid (DA) to help pregnant women and their partners make informed, value-congruent decisions regarding prenatal screening for trisomy.

OBJECTIVE

This study aims to assess the usability and usefulness of computer-based DA among pregnant women, clinicians, and policy makers.

METHODS

For this mixed methods sequential explanatory study, we planned to recruit a convenience sample of 45 pregnant women, 45 clinicians from 3 clinical sites, and 15 policy makers. Eligible women were aged >18 years and >16 weeks pregnant or had recently given birth. Eligible clinicians and policy makers were involved in prenatal care. We asked the participants to navigate a computer-based DA. We asked the women about the usefulness of the DA and their self-confidence in decision-making. We asked all participants about usability, quality, acceptability, satisfaction with the content of the DA, and collected sociodemographic data. We explored participants' reactions to the computer-based DA and solicited suggestions. Our interview guide was based on the Mobile App Rating Scale. We performed descriptive analyses of the quantitative data and thematic deductive and inductive analyses of the qualitative data for each participant category.

RESULTS

A total of 45 pregnant women, 14 clinicians, and 8 policy makers participated. Most pregnant women were aged between 25 and 34 years (34/45, 75%) and White (42/45, 94%). Most clinicians were aged between 35 and 44 years (5/14, 36%) and women (11/14, 79%), and all were White (14/14, 100%); the largest proportion of policy makers was aged between 45 and 54 years (4/8, 50%), women (5/8, 62%), and White (8/8, 100%). The mean usefulness score for preparing for decision-making for women was 80/100 (SD 13), and the mean self-efficacy score was 88/100 (SD 11). The mean usability score was 84/100 (SD 14) for pregnant women, 77/100 (SD 14) for clinicians, and 79/100 (SD 23) for policy makers. The mean global score for quality was 80/100 (SD 9) for pregnant women, 72/100 (SD 12) for clinicians, and 80/100 (SD 9) for policy makers. Regarding acceptability, participants found the amount of information just right (52/66, 79%), balanced (58/66, 88%), useful (38/66, 58%), and sufficient (50/66, 76%). The mean satisfaction score with the content was 84/100 (SD 13) for pregnant women, 73/100 (SD 16) for clinicians, and 73/100 (SD 20) for policy makers. Participants thought the DA could be more engaging (eg, more customizable) and suggested strategies for implementation, such as incorporating it into clinical guidelines.

CONCLUSIONS

Pregnant women, clinicians, and policy makers found the DA usable and useful. The next steps are to incorporate user suggestions for improving engagement and implementing the computer-based DA in clinical practice.

Shared decision-making in the Netherlands: Progress is made, but not for all. Time to become inclusive to patients

Dutch initiatives targeting shared decision-making (SDM) are still growing, supported by the government, the Federation of Patients' Organisations, professional bodies and healthcare insurers. The large majority of patients prefers the SDM model. The Dutch are working hard to realise improvement in the application of SDM in daily clinical practice, resulting in glimpses of success with objectified improvement on observed behavior. Nevertheless, the culture shift is still ongoing. Large-scale uptake of SDM behavior is still a challenge. We haven't yet fully reached the patients' needs, given disappointing research data on patients' experiences and professional behavior. In all Dutch implementation projects, early adopters, believers or higher-educated persons have been overrepresented, while patients with limited health literacy have been underrepresented. This is a huge problem as 25% of the Dutch adult population have limited health literacy. To further enhance SDM there are issues to be addressed: We need to make physicians conscious about their limited application of SDM in daily practice, especially regarding preference and decision talk. We need to reward clinicians for the extra work that comes with SDM. We need to be inclusive to patients with limited health literacy, who are less often actually involved in decision-making and at the same time more likely to regret their chosen treatment compared to patients with higher health literacy.

Implementing a breast cancer patient decision aid: Process evaluation using medical files and the patients' perspective

Objective

Although patient decision aids (PtDAs) have been shown to improve shared decision‐making, integration into clinical care pathways remains limited. This study investigated, among other outcomes, the uptake of the PtDA by professionals and the uptake as perceived by patients.

Methods

We performed a process evaluation among four breast cancer care teams that had been exposed to a multifaceted implementation strategy. Data were gathered by auditing patient files using a standardised data extraction sheet and conducting telephone interviews with patients using a structured interview guide. We analysed the data by using descriptive statistics.

Results

We found that the implementation strategies, including advice on how and when to present the PtDA to the patient, were followed for 14% of the included patients (N = 84); 92% of the patients reported to have received a login code for the web‐based PtDA, while 67% logged in and used the PtDA at home. An important factor influencing the use was the clinician promoting it when delivering the PtDA (OR 9.95 95% CI 3.03–37.72).

Discussion

The implementation strategies were followed in 14% of the patients, and a high delivery of the PtDA was achieved. Redesigning the care pathway and providing personal instruction on using PtDAs seem crucial.