Table 2.
Primary Outcomes Measures with Moderate Pragmatic Characteristics (n=9) | |||
Outcome | ACP Domain | Key Pragmatic Characteristics | Reference |
Intention to write a care plan | Process | 3 item, moderate data capture burden, has potential to be embedded into EHR | Bonner et al (2021) |
Written care plan about CPR, MV, and TF | Action | Dichotomous (yes/no) 3-item questionnaire, has potential to be embedded into EHR | Bonner et al (2021) |
Quality of life–visual analog scale (EQ-VAS) | Healthcare | Low completion time (<5 minutes), easy to score/interpret, has potential to be embedded into EHR | Husebø et al (2019) |
Cornell Scale for Depression in Dementia | Healthcare | 19 items, scored 0–2 scale, moderate data capture burden, has potential to be embedded into EHR | Hilgeman et al (2014) |
Do-Not-Rehospitalize (DNH) Directives | Healthcare | Single item, has potential to be embedded if a standardized EHR tool is utilized. | Mitchell et al (2018) |
Clinical Global Impression of Change (CGIC) | Quality of Care | Single item, easy to score/interpret, has potential to be embedded into EHR | Aasmul et al (2018) |
Healthcare provider-surrogate goal concordance | Quality of Care | Single item, moderate data capture burden, may be challenging to embed and extract from EHR | Hanson et al (2017) |
Quality of Communication (QOC) scores | Quality of Care | 13 item, scored 0–10 scale, moderate data capture burden, has potential to be embedded into EHR | Hanson et al (2017) Gabbard et al (2021) |
Treatment consistent with wishes (ACP problem score) | Quality of Care | 3 item, moderate data capture burden, has potential to be embedded into EHR | Hanson et al (2017) |
Secondary Outcomes Measures with Moderate Pragmatic Characteristics (n=8) | |||
ACP Forms (AD/Living will, MOLST/POLST) Completion Rates | Action | Moderate data capture burden, though most EHRs have embedded ways to extract upload rates | Gabbard et al (2021) Overbeek et al (2018) Mitchell et al (2018) |
Healthcare Cost | Healthcare | Routinely collected in the EHR, no survey delivery burden, but can be labor intensive to analysis data | Lamppu et al (2021) |
Mobilization-Observation-Behavior-Intensity-Dementia–2 pain scale | Healthcare | 10 item scale, easy to score/interrupt but requires proxy assessment which would make challenging to embed | Husebø et al (2019) |
Pain and distress | Healthcare | 2 items, low data capture burden, has potential to be embedded into EHR | Sampson et al (2011) |
Physical self-maintenance scale for activities of daily living (ADL) | Healthcare | 6 items, easy to score/interpret, has potential to be embedded into EHR | Husebø et al (2019) |
Place of death | Healthcare | Single item, often EHR data if dies within hospital/network but could be challenging if other locations | Brazil et al (2018) |
Patient Satisfaction Questionnaire (PSQ-18) | Quality of Care | 18 item, low completion time (<5 minutes), moderate data capture burden, has potential to be embedded into EHR | Overbeek et al (2018), |
Clinical Global Impression of Change (CGIC) | Quality of Care | Single item, easy to score/interpret, has potential to be embedded into EHR | Husebø et al (2019) |