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1.
Healthc Manage Forum ; 34(1): 9-14, 2021 Jan.
Article in English | MEDLINE | ID: mdl-32869663

ABSTRACT

Many healthcare organizations have adopted the quadruple aim to create system-level improvements for delivering enhanced experience and outcomes to patients, healthier populations, reduced per-capita costs, and better provider experiences. With a maturing health technology sector, virtual care is gradually being adopted in Canada and proving to be a viable tactic for achieving the quadruple aim. Despite increased acceptance of virtual innovations and their related benefits to patients and providers, implementation of virtual care can be challenging in a Canadian healthcare system. The Ottawa Hospital developed an innovation strategy to guide the adoption and maturity of virtual care as a means of supporting the pursuit of the quadruple aim and achievement of the organization's mission and vision. A case example presenting the strategy and recommendations for health leaders and providers considering implementation of virtual care is discussed.


Subject(s)
Delivery of Health Care/organization & administration , User-Computer Interface , Cost Control , Diffusion of Innovation , Humans , Leadership , Ontario , Organizational Case Studies , Patient Satisfaction , Population Health , Remote Consultation
2.
BMC Pediatr ; 20(1): 1, 2020 01 03.
Article in English | MEDLINE | ID: mdl-31900152

ABSTRACT

BACKGROUND: Choice of insulin delivery for type 1 diabetes can be difficult for many parents and children. We evaluated decision coaching using a patient decision aid for helping youth with type 1 diabetes and parents decide about insulin delivery method. METHODS: A pre/post design. Youth and parent(s) attending a pediatric diabetes clinic in a tertiary care centre were referred to the intervention by their pediatric endocrinologist or diabetes physician between September 2013 and May 2015. A decision coach guided youth and their parents in completing a patient decision aid that was pre-populated with evidence on insulin delivery options. Primary outcomes were youth and parent scores on the low literary version of the validated Decisional Conflict Scale (DCS). RESULTS: Forty-five youth (mean age = 12.5 ± 2.9 years) and 66 parents (45.8 ± 5.6 years) participated. From pre- to post-intervention, youth and parent decisional conflict decreased significantly (youth mean DCS score was 32.0 vs 6.6, p < 0.0001; parent 37.6 vs 3.5, p < 0.0001). Youth's and parents' mean decisional conflict scores were also significantly improved for DCS subscales (informed, values clarity, support, and certainty). 92% of youth and 94% of parents were satisfied with the decision coaching and patient decision aid. Coaching sessions averaged 55 min. Parents (90%) reported that the session was the right length of time; some youth (16%) reported that it was too long. CONCLUSION: Decision coaching with a patient decision aid reduced decisional conflict for youth and parents facing a decision about insulin delivery method.


Subject(s)
Diabetes Mellitus, Type 1 , Mentoring , Adolescent , Child , Decision Making , Decision Support Techniques , Diabetes Mellitus, Type 1/drug therapy , Humans , Insulin/therapeutic use , Parents
4.
BMC Med Inform Decis Mak ; 15: 5, 2015 Feb 07.
Article in English | MEDLINE | ID: mdl-25889602

ABSTRACT

BACKGROUND: Although children can benefit from being included in health decisions, little is known about effective interventions to support their involvement. The objective of this study was to evaluate the feasibility and acceptability of decision coaching guided by the Ottawa Family Decision Guide with children and parents considering insulin delivery options for type 1 diabetes (insulin pump, multiple daily injections, or standard insulin injections). METHODS: Pre-/post-test field testing design. Eligible participants were children (≤18 years) with type 1 diabetes and their parents attending an ambulatory diabetes clinic in a tertiary children's hospital. Parent-child dyads received decision coaching using the Ottawa Family Decision Guide that was pre-populated with evidence on insulin delivery options, benefits, and harms. Primary outcomes were feasibility of recruitment and data collection, and parent and child acceptability of the intervention. RESULTS: Of 16 families invited to participate, 12 agreed and 7 attended the decision coaching session. For the five missed families, two families were unable to attend the session or the decision coach was not available (N=3). Baseline and immediately post-coaching questionnaires were all completed and follow-up questionnaires two weeks post-coaching were missing from one parent-child dyad. Missing questionnaire items were 5 of 340 items for children (1.5%) and 1 of 429 for parents (0.2%). Decision coaching was rated as acceptable with higher scores from parents and their children who were in earlier stages of decision making. CONCLUSION: Decision coaching with children and their parents considering insulin options was feasible implement and evaluate in our diabetes clinic and was acceptable to participants. Recruitment was difficult due to scheduling restrictions related to the timing of the study. Coaching should target participants earlier in the decision making process and be scheduled at times that are convenient for families and coaches. Findings were used to inform a full-scale evaluation that is currently underway.


Subject(s)
Decision Making , Decision Support Techniques , Diabetes Mellitus, Type 1/therapy , Family , Health Knowledge, Attitudes, Practice , Patient Acceptance of Health Care , Adult , Child , Feasibility Studies , Female , Humans , Male , Middle Aged
5.
BMC Pediatr ; 14: 109, 2014 Apr 23.
Article in English | MEDLINE | ID: mdl-24758566

ABSTRACT

BACKGROUND: Children often need support in health decision-making. The objective of this study was to review characteristics and effectiveness of interventions that support health decision-making of children. METHODS: A systematic review. Electronic databases (PubMed, the Cochrane Library, Web of Science, Scopus, ProQuest Dissertations and Theses, CINAHL, PsycINFO, MEDLINE, and EMBASE) were searched from inception until March 2012. Two independent reviewers screened eligibility: a) intervention studies; b) involved supporting children (≤18 years) considering health-related decision(s); and c) measured decision quality or decision-making process outcomes. Data extraction and quality appraisal were conducted by one author and verified by another using a standardized data extraction form. Quality appraisal was based on the Cochrane Risk of Bias tool. RESULTS: Of 4313 citations, 5 studies were eligible. Interventions focused on supporting decisions about risk behaviors (n = 3), psycho-educational services (n = 1), and end of life (n = 1). Two of 5 studies had statistically significant findings: i) compared to attention placebo, decision coaching alone increased values congruence between child and parent, and child satisfaction with decision-making process (lower risk of bias); ii) compared to no intervention, a workshop with weekly assignments increased overall decision-making quality (higher risk of bias). CONCLUSIONS: Few studies have focused on interventions to support children's participation in decisions about their health. More research is needed to determine effective methods for supporting children's health decision-making.


Subject(s)
Decision Making , Patient Participation , Adolescent , Child , Humans , Social Support
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