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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
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1 to 25 of 530 Research Studies Displayed
Greenberg JK, Olsen MA, Johnson GW
Measures of intracranial injury size do not improve clinical decision making for children with mild traumatic brain injuries and intracranial injuries.
This study evaluated whether measuring traumatic brain injury size (eg, hematoma size) in children with mild traumatic brain injuries (mTBIs) and intracranial injuries (ICIs) improves risk prediction compared with the KIIDS intracranial injury decision support tool for traumatic brain injury (KIIDS-TBI) model. The cohort included children ≤18 years who presented to 1 of the 5 centers within 24 hours of TBI, had Glasgow Coma Scale scores of 13 to 15, and had ICI on neuroimaging. The data set was split into training and testing cohorts. The generalized linear model (GLM) and recursive partitioning (RP) models showed similar specificity across all risk cutoffs, but the GLM model had higher sensitivity. By comparison, the KIIDS-TBI model had slightly higher sensitivity but lower specificity.
AHRQ-funded; HS027075.
Citation:
Greenberg JK, Olsen MA, Johnson GW .
Measures of intracranial injury size do not improve clinical decision making for children with mild traumatic brain injuries and intracranial injuries.
Neurosurgery 2022 Jun;90(6):691-99. doi: 10.1227/neu.0000000000001895..
Keywords:
Children/Adolescents, Brain Injury, Decision Making
Dullabh P, Heaney-Huls K, Lobach DF
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
The purpose of this study was to evaluate the technical landscape for patient-centered clinical decision support (PC CDS) methods to assess the gaps in making PC CDS more standard-based, publicly available, and with greater shareability. The researchers utilized qualitative data from a literature review, a panel of technical experts, and interviews with 18 CDS stakeholders to identify 7 technical considerations that span 5 phases of the development of PC CDS. The authors concluded that while there has been progress in the technical landscape, the field of CDS must focus on improving a number of CDS methods and processes, including standards for translating clinical guidelines into patient-centered clinical decision support, procedures to collect, standardize, and incorporate health data generated by patients, and other CDS processes.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation:
Dullabh P, Heaney-Huls K, Lobach DF .
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
J Am Med Inform Assoc 2022 May 11;29(6):1101-05. doi: 10.1093/jamia/ocac029..
Keywords:
Clinical Decision Support (CDS), Decision Making, Patient-Centered Healthcare, Health Information Technology (HIT)
Kurasz AM, Smith GE, Curiel RE
Patient values in healthcare decision making among diverse older adults.
This study investigated the types of values that culturally diverse older adults incorporate in medical decision making. Focus groups were held with 49 individuals, 49% with mild cognitive impairment, and 51% Hispanic. Participants described barriers and facilitators that interfere with or promote value solicitation and incorporation. A wide range of values relating to individual factors, familial/cultural beliefs and expectations, balancing risks and benefits, receiving decisional support, and considering values other than their own were expressed. Participants also emphasized that values are individual-specific, influenced by aging, and change throughout life.
AHRQ-funded; HS024159.
Citation:
Kurasz AM, Smith GE, Curiel RE .
Patient values in healthcare decision making among diverse older adults.
Patient Educ Couns 2022 May;105(5):1115-22. doi: 10.1016/j.pec.2021.08.031..
Keywords:
Elderly, Decision Making, Racial / Ethnic Minorities
Rosenberg SM, Gierisch JM, Revette AC
"Is it cancer or not?" A qualitative exploration of survivor concerns surrounding the diagnosis and treatment of ductal carcinoma in situ.
This study investigated the impact of a ductal carcinoma in situ (DCIS) diagnosis by engaging self-identified patients regarding their experience. Findings showed that, in a large, national sample, participants with a history of DCIS reported confusion and concern about the diagnosis and treatment, which caused worry and significant uncertainty.
AHRQ-funded; HS023680.
Citation:
Rosenberg SM, Gierisch JM, Revette AC .
"Is it cancer or not?" A qualitative exploration of survivor concerns surrounding the diagnosis and treatment of ductal carcinoma in situ.
Cancer 2022 Apr 15;128(8):1676-83. doi: 10.1002/cncr.34126..
Keywords:
Cancer: Breast Cancer, Cancer, Decision Making, Women, Patient-Centered Healthcare, Clinician-Patient Communication, Patient and Family Engagement, Communication
Jacobsohn GC, Leaf M, Liao F
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
The authors used a collaborative and iterative approach to design and implement an automated clinical decision support system (CDS) for Emergency Department (ED) providers to identify and refer older adult ED patients at high risk of future falls. The system was developed using collaborative input from an interdisciplinary design team and integrated seamlessly into existing ED workflows. A key feature of development was the unique combination of patient experience strategies, human-centered design, and implementation science, which allowed for the CDS tool and intervention implementation strategies to be designed simultaneously. Challenges included: usability problems, data inaccessibility, time constraints, low appointment availability, high volume of patients, and others. The study concluded that using the collaborative, iterative approach was successful in achieving all project goals, and could be applied to other cases.
AHRQ-funded; HS024558.
Citation:
Jacobsohn GC, Leaf M, Liao F .
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
Healthc 2022 Mar;10(1):100598. doi: 10.1016/j.hjdsi.2021.100598..
Keywords:
Elderly, Clinical Decision Support (CDS), Decision Making, Falls, Risk, Emergency Department, Health Information Technology (HIT)
Daley CN, Cornet VP, Toscos TR
Naturalistic decision making in everyday self-care among older adults with heart failure.
The purpose of this study was to explore the role of everyday decision-making on disease outcome in a group of older adults living with heart failure. The researchers describe such decisions as events of naturalistic decision-making which are influenced by factors such as the involvement of others, older adults’ social and physical environments, high stakes of the decision, and shifting goals. The researchers recruited 24 older adults with heart failure and 14 of their support persons from an ambulatory cardiology center, and conducted a qualitative field study. The study utilized a naturalistic decision-making model and critical incident technique to analyze health-related everyday decision making and determine how individuals make everyday health-related decisions. The study found that for various decisions, the decision-making of White, male, older adults aligned with the three phases of a preliminary model of naturalistic decision making: monitoring, interpreting, and acting. The researchers also determined that: health decisions are made in a context of personal variables such as emotions, priorities, and values; other people can play important roles; and the performance of the phases can be affected by barriers and strategies. The study concluded that the findings contribute to an expanded model of naturalistic decision-making with implications for not only future research, but for the design of interventions.
AHRQ-funded; HS025232.
Citation:
Daley CN, Cornet VP, Toscos TR .
Naturalistic decision making in everyday self-care among older adults with heart failure.
J Cardiovasc Nurs 2022 Mar-Apr;37(2):167-76. doi: 10.1097/jcn.0000000000000778..
Keywords:
Elderly, Patient Self-Management, Decision Making, Heart Disease and Health, Cardiovascular Conditions
Lin E, Uhler LM, Finley EP
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
This article describes a US-based 2-year, two-site hybrid type 1 study to assess clinical effectiveness and implementation of a machine learning-based patient decision aid integrating patient-reported outcomes and clinical variables to support shared decision-making for patients with knee osteoarthritis considering total knee replacement. Study results will be disseminated through conference presentations, publications and professional societies.
AHRQ-funded; HS027037.
Citation:
Lin E, Uhler LM, Finley EP .
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
BMJ Open 2022 Feb 21;12(2):e055933. doi: 10.1136/bmjopen-2021-055933..
Keywords:
Clinical Decision Support (CDS), Decision Making, Arthritis, Patient-Centered Outcomes Research, Orthopedics, Health Information Technology (HIT), Evidence-Based Practice
Reese TJ, Schlechter CR, Kramer H
Implementing lung cancer screening in primary care: needs assessment and implementation strategy design.
This study explored the implementation of lung cancer screening with low-dose computed tomography (CT) in primary care. The study’s two goals included exploring the implementation of lung cancer screening primary care in the context of integrating a decision aid into the electronic health record and a designing of implementation strategies that target hypothesized mechanics of change and context-specific barriers. The two phases included a Qualitative Analysis phase including semi-structured interviews with primary care physicians to elicit key task behaviors, and an Implementation Strategy Design phase consisting of defining implementation strategies and hypothesizing causal pathways to improve screening with a decision aid. Fourteen interviews were conducted and out of that 3 key task behaviors and four behavioral determinants emerged. Strategies included increasing provider self-efficacy toward performing shared decision making and using the decision aid, improving provider performance expectancy, increasing social influence, and addressing key facilitators to using the decision aid.
AHRQ-funded; HS026198.
Citation:
Reese TJ, Schlechter CR, Kramer H .
Implementing lung cancer screening in primary care: needs assessment and implementation strategy design.
Transl Behav Med 2022 Feb 16;12(2):187-97. doi: 10.1093/tbm/ibab115..
Keywords:
Cancer: Lung Cancer, Cancer, Primary Care, Screening, Implementation, Decision Making
Schuttner L, Hockett Sherlock S, Simons C
Factors affecting primary care physician decision-making for patients with complex multimorbidity: a qualitative interview study.
Researchers sought to describe factors affecting physician decision-making when care planning for complex patients with multimorbidity within the team-based, patient-centered medical home setting in the integrated healthcare system of the U.S. Department of Veterans Affairs, the Veterans Health Administration (VHA). They found that primary care physicians described internal, external, and relationship-based factors that affected their care planning for high-risk and complex patients with multimorbidity in the VHA.
AHRQ-funded; HS026369.
Citation:
Schuttner L, Hockett Sherlock S, Simons C .
Factors affecting primary care physician decision-making for patients with complex multimorbidity: a qualitative interview study.
BMC Prim Care 2022 Feb 5;23(1):25. doi: 10.1186/s12875-022-01633-x..
Keywords:
Primary Care, Decision Making, Chronic Conditions, Patient-Centered Healthcare
Graber J, Lockhart S, Matlock DD
"This is not negotiable. You need to do this…": a directed content analysis of decision making in rehabilitation after knee arthroplasty.
In this qualitative study, researchers sought to understand patients' and physical therapists' perspectives related to decision making during outpatient rehabilitation after total knee arthroplasty (TKA) and further to describe potential barriers and opportunities for shared decision making (SDM) in this setting. They found that physical therapists described using decision-making strategies with varying levels of patient involvement, while both patients and physical therapists described barriers to routine use of SDM in the outpatient setting. They also presented actionable strategies for overcoming these barriers for providers and organizations seeking consistently to use SDM in outpatient TKA rehabilitation.
AHRQ-funded; HS025692.
Citation:
Graber J, Lockhart S, Matlock DD .
"This is not negotiable. You need to do this…": a directed content analysis of decision making in rehabilitation after knee arthroplasty.
J Eval Clin Pract 2022 Feb;28(1):99-107. doi: 10.1111/jep.13591..
Keywords:
Decision Making, Rehabilitation, Orthopedics, Surgery, Patient-Centered Healthcare
Kunneman M, Branda ME, Ridgeway JL
Making sense of diabetes medication decisions: a mixed methods cluster randomized trial using a conversation aid intervention.
The purpose of this trial was to determine the effectiveness of a shared decision-making (SDM) tool versus guideline-informed usual care in translating evidence into primary care, and to explore how use of the tool changed patient perspectives about diabetes medication decision making. Findings showed that using an SDM conversation aid improved patient knowledge and involvement in SDM without impacting treatment choice, encounter length, medication adherence, or improved diabetes control in patients with type 2 diabetes.
AHRQ-funded; HS018339.
Citation:
Kunneman M, Branda ME, Ridgeway JL .
Making sense of diabetes medication decisions: a mixed methods cluster randomized trial using a conversation aid intervention.
Endocrine 2022 Feb;75(2):377-91. doi: 10.1007/s12020-021-02861-4..
Keywords:
Diabetes, Medication, Decision Making, Patient-Centered Healthcare, Clinician-Patient Communication, Chronic Conditions
Rosenthal M, Poling J, Wec A
"Medication is just one piece of the whole puzzle": how nursing homes change their use of antipsychotic medications.
This article investigated health professionals’ experiences with decision-making during changes under the National Partnership to Improve Dementia Care in Nursing Homes and its companion coalitions. These programs were introduced in 2012 for the purpose of encouraging reductions in antipsychotic use and increasing use of nonpharmacological treatments for dementia. Interviews were conducted with 40 nursing home physicians and staff in seven states. The authors found that reducing antipsychotics is more time and resource-intensive than relying on medication. However, respondents supported reductions in antipsychotic use. They indicated that with supported staffing, effective communications, and training, they could create or implement individualized treatments.
AHRQ-funded; HS023464.
Citation:
Rosenthal M, Poling J, Wec A .
"Medication is just one piece of the whole puzzle": how nursing homes change their use of antipsychotic medications.
J Appl Gerontol 2022 Jan;41(1):62-72. doi: 10.1177/0733464820958919..
Keywords:
Elderly, Medication, Nursing Homes, Dementia, Neurological Disorders, Long-Term Care, Decision Making
Chrenka EA, Solberg LI, Asche SE
Is shared decision-making associated with better patient-reported outcomes? A longitudinal study of patients undergoing total joint arthroplasty.
This study examined whether shared decision making (SDM) provides better outcomes using patients undergoing total joint arthroplasty as a test case. This observational longitudinal survey-based study surveyed patients receiving an initial THA or TKA from a large, multispecialty medical group in the Midwestern United States after they were scheduled for surgery and again at 12 months after their procedure. The majority of included patients were white (1255 of 1344) with only 3% using Medicaid benefits at the time of surgery. The three-item collaboRATE measure of SDM was added to existing patient surveys of patient-reported outcome measures (PROMs). Patient responses were analyzed in regression models to estimate the association between preoperative collaborate scores and Oxford knee or hip scores at 12 months postoperatively. There was a moderate, positive association between preoperative collaborate scores and the Oxford scores at 12 months. The association suggests that SDM could be one tool to encourage better outcomes.
AHRQ-funded; HS025618.
Citation:
Chrenka EA, Solberg LI, Asche SE .
Is shared decision-making associated with better patient-reported outcomes? A longitudinal study of patients undergoing total joint arthroplasty.
Clin Orthop Relat Res 2022 Jan;480(1):82-91. doi: 10.1097/corr.0000000000001920..
Keywords:
Decision Making, Patient-Centered Outcomes Research, Orthopedics, Surgery
Natarajan E, Florin TA, Constantinou C
What is the role of shared decision-making with parents of children with bronchiolitis?
The authors sought to study shared decision making (SDM) with parents of children with bronchiolitis. They discussed challenges to implementation and indicated that use of SDM with parents of children with bronchiolitis can improve patient-centered care by aligning medical decisions with informed parents’ values and preferences.
AHRQ-funded; HS026006.
Citation:
Natarajan E, Florin TA, Constantinou C .
What is the role of shared decision-making with parents of children with bronchiolitis?
Hosp Pediatr 2022 Jan;12(1):e50-e53. doi: 10.1542/hpeds.2021-006245.
.
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Keywords:
Children/Adolescents, Decision Making, Respiratory Conditions
Kennedy EE, Bowles KH, Aryal S
Systematic review of prediction models for postacute care destination decision-making.
This article reported a systematic review of studies containing development and validation of models predicting post-acute care destination after adult inpatient hospitalization, summarized clinical populations and variables, evaluated model performance, assessed risk of bias and applicability, and made recommendations to reduce bias in future models. Findings indicated that prediction modeling studies for post-acute care destinations were becoming more prolific in the literature, but model development and validation strategies were inconsistent, and performance was variable. Most models were developed using regression, but machine learning methods were increasing in frequency.
AHRQ-funded; HS026599; HS027742.
Citation:
Kennedy EE, Bowles KH, Aryal S .
Systematic review of prediction models for postacute care destination decision-making.
J Am Med Inform Assoc 2021 Dec 28;29(1):176-86. doi: 10.1093/jamia/ocab197..
Keywords:
Decision Making, Transitions of Care
Ibemere SO, Tanabe P, Bonnabeau E
Awareness and use of the sickle cell disease toolbox by primary care providers in North Carolina.
The authors developed a decision support tool for sickle cell disease (SCD) for SCD management (SCD Toolbox) based on the National Heart, Lung, and Blood Institute's SCD guidelines. Using data from primary care providers (PCPs) in North Carolina, they found that PCPs rarely co-managed with a specialist, had low awareness and use of the SCD Toolbox, and requested multiple formats for the toolbox.
AHRQ-funded; HS024501.
Citation:
Ibemere SO, Tanabe P, Bonnabeau E .
Awareness and use of the sickle cell disease toolbox by primary care providers in North Carolina.
J Prim Care Community Health 2021 Jan-Dec;12:21501327211049050. doi: 10.1177/21501327211049050..
Keywords:
Sickle Cell Disease, Primary Care, Chronic Conditions, Decision Making, Evidence-Based Practice
Greenberg JK, Ahluwalia R, Hill M
Development and external validation of the KIIDS-TBI tool for managing children with mild traumatic brain injury and intracranial injuries.
This study's objectives were to develop a new risk model with improved sensitivity compared to the CHIIDA model for the post-neuroimaging management of children with mild traumatic brain injuries (mTBI) and intracranial injuries and further to validate externally the new model and CHIIDA model in a multicenter data set. Findings showed that the KIIDS-TBI model had high sensitivity and moderate specificity for risk stratifying children with mTBI and intracranial injuries. The researchers concluded that the use of their clinical decision support tool may help improve the safe, resource-efficient management of this important patient population.
AHRQ-funded; HS027075.
Citation:
Greenberg JK, Ahluwalia R, Hill M .
Development and external validation of the KIIDS-TBI tool for managing children with mild traumatic brain injury and intracranial injuries.
Acad Emerg Med 2021 Dec;28(12):1409-20. doi: 10.1111/acem.14333..
Keywords:
Children/Adolescents, Brain Injury, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT)
Aronson PL, Schaeffer P, Niccolai LM
Parents' perspectives on communication and shared decision making for febrile infants ≤60 days old.
This study examined parents’ perceptions of receiving and understanding information in the emergency department (ED) and their perspectives on shared decision making (SDM) in the management of febrile infants 60 days of age or less. The authors conducted semistructured interviews with 23 parents of febrile infants ≤60 days old evaluated in the pediatric ED at an urban, academic medical center. Themes for parents’ perspectives on SDM included: 1) giving parents the opportunity to express their opinions and concerns builds confidence in the decision making process, 2) parents’ preferences for participation in decision making vary considerably, and 3) different perceptions about risk influence parents’ preferences about having their infant undergo a lumbar puncture (LP). Parents valued risk and benefits of having their infant undergo an LP differently, which influences their preferences.
AHRQ-funded; HS026006.
Citation:
Aronson PL, Schaeffer P, Niccolai LM .
Parents' perspectives on communication and shared decision making for febrile infants ≤60 days old.
Pediatr Emerg Care 2021 Dec;37(12):e1213-e19. doi: 10.1097/pec.0000000000001977..
Keywords:
Newborns/Infants, Clinician-Patient Communication, Communication, Decision Making, Emergency Department
Rao BR, Merchant FM, Howard DH
Shared decision-making for implantable cardioverter-defibrillators: policy goals, metrics, and challenges.
Researchers discussed shared decision-making for implantable cardioverter-defibrillators (ICDs), including the results from a case study implementing the shared decision-making mandate for ICDs, which involved providing patients with decision aids prior to or following the doctor consultation.
AHRQ-funded; HS028558.
Citation:
Rao BR, Merchant FM, Howard DH .
Shared decision-making for implantable cardioverter-defibrillators: policy goals, metrics, and challenges.
J Law Med Ethics 2021 Win;49(4):622-29. doi: 10.1017/jme.2021.85..
Keywords:
Decision Making, Medical Devices, Policy, Cardiovascular Conditions
Xiong KZ, Shah S, Stone JA
Using a scenario-based hybrid approach to understand participant health behavior.
This study described a scenario-based hybrid approach that included a simulation exercise and a situational interview to understand how older adults first select and then take OTC medication. The authors concluded that the scenario-based hybrid approach not only yielded detailed information about behavior, but also allowed investigators to discern participants' decision-making, influences, and the rationales they used when selecting and taking OTC medications.
AHRQ-funded; HS024490.
Citation:
Xiong KZ, Shah S, Stone JA .
Using a scenario-based hybrid approach to understand participant health behavior.
Res Social Adm Pharm 2021 Dec;17(12):2070-74. doi: 10.1016/j.sapharm.2021.02.020..
Keywords:
Elderly, Medication, Decision Making
Morris AO, Gilson A, Chui MA
Utilizing a cognitive engineering approach to conduct a hierarchical task analysis to understand complex older adult decision-making during over-the-counter medication selection.
This study characterized older adults' cognitive decision-making process when seeking to self-medicate with over-the-counter (OTC) medications from their community pharmacy, and demonstrated how hierarchical task analysis (HTA) can be used to evaluate a pharmacy intervention's impact on their decision-making. Findings showed that, while selecting an OTC, older adults considered quantity, cost, form, regimen, safety, strength, appropriateness of OTC safety, generic/name-brand, past experiences, and ingredients. The study intervention reduced by half the number of factors considered. Findings suggested that HTA-informed decision profiles may provide pharmacists with critical insights into safety issues that older adults may not be considering so that pharmacists can support their decision-making.
AHRQ-funded; HS024490.
Citation:
Morris AO, Gilson A, Chui MA .
Utilizing a cognitive engineering approach to conduct a hierarchical task analysis to understand complex older adult decision-making during over-the-counter medication selection.
Res Social Adm Pharm 2021 Dec;17(12):2116-26. doi: 10.1016/j.sapharm.2021.07.005..
Keywords:
Elderly, Decision Making, Medication
Whitebird RR, Solberg LI, Ziegenfuss JY
Personalized outcomes for hip and knee replacement: the patients point of view.
Patient reported outcome measures (PROMs) are increasingly being incorporated into clinical and surgical care for assessing outcomes. This study examined outcomes important to patients in their decision to have hip or knee replacement surgery, their perspectives on PROMs and shared decision-making, and factors they considered important for postoperative care.
AHRQ-funded; HS025618.
Citation:
Whitebird RR, Solberg LI, Ziegenfuss JY .
Personalized outcomes for hip and knee replacement: the patients point of view.
J Patient Rep Outcomes 2021 Nov 4;5(1):116. doi: 10.1186/s41687-021-00393-z..
Keywords:
Orthopedics, Surgery, Patient-Centered Outcomes Research, Patient Experience, Decision Making
Chartash D, Sharifi M, Emerson B
Documentation of shared decisionmaking in the emergency department.
Patient-centered communication and shared decision making is a vital element of clinical practice, but little is known about its impact or value in the emergency department (ED) setting. The researchers of this study developed a natural language processing tool using regular expressions to identify shared decision making, patient-centered communications, and to describe visit-, site-, and temporal-level patterns within a large health system. The study took place in two parts: part 1 was the development and validation of the natural language processing tool, and part 2 was a retrospective analysis of shared decision making and patient discussion using the processing tool to assess ED physician and advanced practitioner documentation from 2013 to 2020. Compared to chart review of 600 ED notes, the accuracy rates of the natural language processing tool were 96.7% and 88.9% respectively. Between 2013 to 2020 the researchers observed greater likelihood of shared decision-making documentation among physicians vs advanced practice providers, higher likelihood among female vs male patients, and lower likelihood of shared decision-making in Black patients compared with White patients. The researchers also found that patient discussion and shared decision-making were associated with higher levels of commercial insurance status and level of triage. The study concluded that a natural language processing tool was developed, validated, and utilized to identify incidences of shared decision making from ED documentation, with the researchers finding multiple possible factors which contribute to variation in shared decision making.
AHRQ-funded; HS025701.
Citation:
Chartash D, Sharifi M, Emerson B .
Documentation of shared decisionmaking in the emergency department.
Ann Emerg Med 2021 Nov;78(5):637-49. doi: 10.1016/j.annemergmed.2021.04.038..
Keywords:
Decision Making, Emergency Department, Patient-Centered Healthcare, Electronic Health Records (EHRs), Health Information Technology (HIT)
Shipe ME, Baechle JJ, Deppen SA
Modeling the impact of delaying surgery for early esophageal cancer in the era of COVID-19.
Surgical society guidelines have recommended changing the treatment strategy for early esophageal cancer during the novel coronavirus (COVID-19) pandemic. Delaying resection can allow for interim disease progression, but the impact of this delay on mortality is unknown. The COVID-19 infection rate at which immediate operative risk exceeds benefit is unknown. In this study, the investigators sought to model immediate versus delayed surgical resection in a T1b esophageal adenocarcinoma.
AHRQ-funded; HS026122.
Citation:
Shipe ME, Baechle JJ, Deppen SA .
Modeling the impact of delaying surgery for early esophageal cancer in the era of COVID-19.
Surg Endosc 2021 Nov;35(11):6081-88. doi: 10.1007/s00464-020-08101-6..
Keywords:
COVID-19, Cancer, Surgery, Decision Making, Risk
Baughman KR, Ludwick R, Jarjoura D
Multi-site study of provider self-efficacy and beliefs in explaining judgments about need and responsibility for advance care planning.
This study’s objective was to examine the impact of advance care planning (ACP) self-efficacy and beliefs in explaining skilled nursing facility (SNF) provider judgements about resident need and provider responsibility for initiating ACP conversations. This observational multi-site study anonymously surveyed 348 registered nurses, LPNs, and social workers within 29 SNFs. Providers who had more negative beliefs about ACP were less likely to judge residents in need of ACP and less likely to feel responsible for ensuring that ACP occurred. Providers with higher self-efficacy for ACP were more likely to feel responsible for ensuring ACP conversations.
AHRQ-funded; HS022162.
Citation:
Baughman KR, Ludwick R, Jarjoura D .
Multi-site study of provider self-efficacy and beliefs in explaining judgments about need and responsibility for advance care planning.
Am J Hosp Palliat Care 2021 Nov;38(11):1276-81. doi: 10.1177/1049909120979977..
Keywords:
Care Management, Decision Making
