The association between patient experience factors and likelihood of 30-day readmission: a prospective cohort study

Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Pilot Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is a burdensome condition and a leading cause of 30-day hospital readmissions in the United States. Clinical and social factors are key drivers of hospitalization. These 2 strategies, digital platforms and home-based social needs care, have shown preliminary effectiveness in improving adherence to clinical care plans and reducing acute care use in HF. Few studies, if any, have tested combining these 2 strategies in a single intervention.

OBJECTIVE

This study aims to perform a pilot randomized controlled trial assessing the acceptability, feasibility, and preliminary effectiveness of a 30-day digitally-enabled community health worker (CHW) intervention in HF.

METHODS

Adults hospitalized with a diagnosis of HF at an academic hospital were randomly assigned to receive digitally-enabled CHW care (intervention; digital platform +CHW) or CHW-enhanced usual care (control; CHW only) for 30 days after hospital discharge. Primary outcomes were feasibility (use of the platform) and acceptability (willingness to use the platform in the future). Secondary outcomes assessed preliminary effectiveness (30-day readmissions, emergency department visits, and missed clinic appointments).

RESULTS

A total of 56 participants were randomized (control: n=31; intervention: n=25) and 47 participants (control: n=28; intervention: n=19) completed all trial activities. Intervention participants who completed trial activities wore the digital sensor on 78% of study days with mean use of 11.4 (SD 4.6) hours/day, completed symptom questionnaires on 75% of study days, used the blood pressure monitor 1.1 (SD 0.19) times/day, and used the digital weight scale 1 (SD 0.13) time/day. Of intervention participants, 100% responded very or somewhat true to the statement "If I have access to the [platform] moving forward, I will use it." Some (n=9, 47%) intervention participants indicated they required support to use the digital platform. A total of 19 (100%) intervention participants and 25 (89%) control participants had ≥5 CHW interactions during the 30-day study period. All intervention (n=19, 100%) and control (n=26, 93%) participants who completed trial activities indicated their CHW interactions were "very satisfying." In the full sample (N=56), fewer participants in the intervention group were readmitted 30 days after hospital discharge compared to the control group (n=3, 12% vs n=8, 26%; P=.12). Both arms had similar rates of missed clinic appointments and emergency department visits.

CONCLUSIONS

This pilot trial of a digitally-enabled CHW intervention for HF demonstrated feasibility, acceptability, and a clinically relevant reduction in 30-day readmissions among participants who received the intervention. Additional investigation is needed in a larger trial to determine the effect of this intervention on HF home management and clinical outcomes.

TRIAL REGISTRATION

Clinicaltrials.gov NCT05130008; https://clinicaltrials.gov/study/NCT05130008.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/55687.

Quality of care transition, patient safety incidents, and patients' health status: a structural equation model on the complexity of the discharge process

BACKGROUND

The transition of patients between care contexts poses patient safety risks. Discharges to home from inpatient care can be associated with adverse patient outcomes. Quality in discharge processes is essential in ensuring safe transitions for patients. Current evidence relies on bivariate analyses and neglects contextual factors such as treatment and patient characteristics and the interactions of potential outcomes. This study aimed to investigate the associations between the quality and safety of the discharge process, patient safety incidents, and health-related outcomes after discharge, considering the treatments' and patients' contextual factors in one comprehensive model.

METHODS

Patients at least 18 years old and discharged home after at least three days of inpatient treatment received a self-report questionnaire. A total of N = 825 patients participated. The assessment contained items to assess the quality and safety of the discharge process from the patient's perspective with the care transitions measure (CTM), a self-report on the incidence of unplanned readmissions and medication complications, health status, and sociodemographic and treatment-related characteristics. Statistical analyses included structural equation modeling (SEM) and additional analyses using logistic regressions.

RESULTS

Higher quality of care transition was related to a lower incidence of medication complications (B = -0.35, p < 0.01) and better health status (B = 0.74, p < 0.001), but not with lower incidence of readmissions (B = -0.01, p = 0.39). These effects were controlled for the influences of various sociodemographic and treatment-related characteristics in SEM. Additional analyses showed that these associations were only constant when all subscales of the CTM were included.

CONCLUSIONS

Quality and safety in the discharge process are critical to safe patient transitions to home care. This study contributes to a better understanding of the complex discharge process by applying a model in which various contextual factors and interactions were considered. The findings revealed that high quality discharge processes are associated with a lower likelihood of patient safety incidents and better health status at home even, when sociodemographic and treatment-related characteristics are taken into account. This study supports the call for developing individualized, patient-centered discharge processes to strengthen patient safety in care transitions.

[Discharge management strategies in German general hospitals : A nationwide survey of professionals responsible for clinical risk management]

BACKGROUND

Transitions from inpatient care are associated with risks for the safety of patients. In 2017, the framework agreement on discharge management was legally defined. There is currently a lack of empirical data in Germany on the implementation of measures to ensure safe transitions of patients after inpatient care. The aim of this study is to provide an overview of the discharge management strategies implemented by German general hospitals.

METHODS

Between March and May 2022, specific discharge management strategies as well as structural and organizational characteristics were assessed in a nationwide survey of 401 general hospitals, and descriptive statistics and group comparisons were performed.

RESULTS

Seven of nine strategies surveyed were implemented in > 95% of all hospitals. The evaluation of discharge planning was only implemented in 61% of the hospitals, and systematic documentation, analysis, and evaluation of readmissions in 54%. Hospitals with a higher number of hospital beds reported significantly less often about "early contact with follow-up care providers" and "organization of a seamless transition to follow-up care."

DISCUSSION

A large part of the strategies in discharge management from inpatient treatment is implemented in German general hospitals. However, measures for evaluation and the systematic analysis of discharge processes and readmissions of patients have only been partially implemented. However, these are necessary to systematically evaluate and potentially improve the discharge processes.

Evaluation and Measurement Properties of a Patient-Reported Experience Measure for Home Dialysis

BACKGROUND

No previously validated patient-reported experience measures exist for use among patients undergoing home dialysis. We tested the Home Dialysis Care Experience survey, a newly developed 26-item experience measure, among patients from 30 dialysis facilities in the United States.

METHODS

Using mail and telephone survey modalities, we approached 1372 patients treated with peritoneal dialysis or home hemodialysis for participation. Using the results from completed surveys, we evaluated item calibration by assessing item floor and ceiling effects. We tested three sets of composite scores and used factor analysis to assess model fit for each. We evaluated associations of composite scores with global ratings and separately with patient and dialysis facility characteristics. Finally, we measured test-retest reliability in patients who completed the survey at two separate time points.

RESULTS

Overall, 495 eligible patients completed at least one survey (response rate 36%). Of these, 49 completed the survey in Spanish and 61 completed a second survey within 30 days. We did not detect significant floor or ceiling effects, except for one item that demonstrated >90% responses at the top response option. Analyses supported one 12-item composite scale with high internal consistency reliability: Quality of Home Dialysis Care and Operations (Cronbach alpha=0.85). This scale strongly correlated with overall staff rating ( r =0.73) and overall center rating ( r =0.70). Patient demographic and dialysis facility characteristics were not consistently associated with composite scale scores or overall staff or center ratings. Intraclass correlation coefficients in the test-retest population were 0.74 for the Quality scale, 0.88 for overall staff rating, and 0.90 for overall center rating.

CONCLUSIONS

The Home Dialysis Care Experience survey is a 26-item measure that includes one composite scale and two global rating scores and is an informative tool to evaluate patient experience of care for home dialysis.

Defining listening: Can we get rid of the adjectives?

Listening is a complex construct studied in various fields, including psychology, education, marketing, management, and medicine. Despite its importance, there is no agreed definition of the construct. Therefore, we review existing definitions of listening, primarily recent, focusing on those that describe listening in interpersonal contexts. We identify 20 adjectives describing listening and found two underlying themes: unobservable versus observable behaviors and focusing on the speaker's or listener's interests. Focusing on the unobservable and the speaker's interest, we propose a novel, adjective-free listening definition: the degree of devotion to co-exploring the Other with and for the other. Adopting a dyadic view, we argue that either the listener or the speaker can generate such devotion and initiate the co-creation of a listening state. Our new definition can contribute to developing empirical measures with good discriminant validity.

Association of patient experience and the quality of hospital care

The association between patient experience and the quality of hospital care is controversial. We assess the association between clinical outcomes and patient-reported experience measures (PREMs) in hospitals in Saudi Arabia. Knowledge on this issue informs value-based health-care reforms. A retrospective observational study was conducted in 17 hospitals in Saudi Arabia during the period of 2019-22. Hospital data were collected on PREMs, mortality, readmission, length of stay (LOS), central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and surgical site infection. Descriptive analysis was used to describe hospital characteristics. Spearman's rho correlation tests were used to assess the correlation between these measures, and multivariate generalized linear mixed model regression analysis was used to study associations while controlling for hospital characteristics and year. Our analysis showed that PREMs were negatively correlated with hospital readmission rate (r = -0.332, P ≤ .01), LOS (r = -0.299, P ≤ .01), CLABSI (r = -0.297, P ≤ .01), CAUTI (r = -0.393, P ≤ .01), and surgical site infection (r = -0.298, P ≤ .01). The results indicated that CAUTI and LOS converged negatively with PREMs (β = -0.548, P = .005; β = -0.873, P = .008, respectively) and that larger hospitals tended to have better patient experience scores (β =0.009, P = .003). Our findings suggest that better performance in clinical outcomes is associated with higher PREM scores. PREMs are not a substitute or surrogate for clinical quality. Yet, PREMs are complementary to other objective measures of patient-reported outcomes, the process of care, and clinical outcomes.

Multisite analysis of patient experience scores and risk of hospital admission: a retrospective cohort study

BACKGROUND

Routinely collected patient experience scores may inform risk of patient outcomes. The objective of the study was to evaluate the risk of hospital admission within 30-days following third-party receipt of the patient experience survey and guide interventions.

METHODS

In this retrospective cohort study, we analyzed Hospital Consumer Assessment of Healthcare Providers and Systems surveys, January 2016-July 2019, from an institution's 20 hospitals in four U.S. states. Surveys were routinely sent to patients using census sampling. We analyzed surveys received ≤60 days following discharge from patients living ≤60 miles of any of the institution's hospitals. The exposures were 19 survey items. The outcome was hospital admission within 30 days after third-party receipt of the survey. We evaluated the association of favorable (top-box) vs unfavorable (non-top-box) score for survey items with risk of 30-day hospital admission in models including patient and hospitalization characteristics and reported adjusted odds ratios (aOR [95% confidence interval]).

RESULTS

Among 40,162 respondents (mean age ± standard deviation: 68.1 ± 14.0 years), 49.8% were women and 4.3% had 30-day hospital admission. Patients with 30-day hospital admission, compared to those not admitted, were more likely to be discharged from a medical service line (62.9% vs 42.3%; P < 0.001) and have a higher Elixhauser index. Favorable vs unfavorable score for hospital rating was associated with lower odds of 30-day hospital admission in the overall cohort (0.88 [0.77-0.99]; P = 0.04), medical service line (0.81 [0.70-0.94]; P = 0.007), and upper tertile of Elixhauser index (0.79 [0.67-0.92]; P = 0.003). Favorable score for recommend hospital was associated with lower odds of 30-day hospital admission in the medical service line (0.83 [0.71-0.97]; P = 0.02) but for others (e.g. cleanliness of hospital environment) showed no association.

CONCLUSION

In routinely collected patient experience scores, favorable hospital rating was associated with lower odds of 30-day hospital admission and may inform risk stratification and interventions. Evidence-based survey items linked to patient outcomes may also inform future surveys.

Integration of patient experience factors improves readmission prediction

Many readmission prediction models have marginal accuracy and are based on clinical and demographic data that exclude patient response data. The objective of this study was to evaluate the accuracy of a 30-day hospital readmission prediction model that incorporates patient response data capturing the patient experience. This was a prospective cohort study of 30-day hospital readmissions. A logistic regression model to predict readmission risk was created using patient responses obtained during interviewer-administered questionnaires as well as demographic and clinical data. Participants (N = 846) were admitted to 2 inpatient adult medicine units at Massachusetts General Hospital from 2012 to 2016. The primary outcome was the accuracy (measured by receiver operating characteristic) of a 30-day readmission risk prediction model. Secondary analyses included a readmission-focused factor analysis of individual versus collective patient experience questions. Of 1754 eligible participants, 846 (48%) were enrolled and 201 (23.8%) had a 30-day readmission. Demographic factors had an accuracy of 0.56 (confidence interval [CI], 0.50-0.62), clinical disease factors had an accuracy of 0.59 (CI, 0.54-0.65), and the patient experience factors had an accuracy of 0.60 (CI, 0.56-0.64). Taken together, their combined accuracy of receiver operating characteristic = 0.78 (CI, 0.74-0.82) was significantly more accurate than these factors were individually. The individual accuracy of patient experience, demographic, and clinical data was relatively poor and consistent with other risk prediction models. The combination of the 3 types of data significantly improved the ability to predict 30-day readmissions. This study suggests that more accurate 30-day readmission risk prediction models can be generated by including information about the patient experience.

A qualitative study exploring the lived experiences of patients living with mild, moderate and severe frailty, following hip fracture surgery and hospitalisation

It is well recognised that hip fracture surgery is associated with a negative impact on short and long-term post-operative physical health and emotional well-being for patients. Furthermore, these patients are known to be frail with multiple co-morbidities. This study explores how frailty shapes the lived experiences of rehabilitation and recovery for patients who have undergone hip fracture surgery. Semi-structured interviews were conducted with sixteen participants, recently discharged from hospital following hip fracture surgery. Interpretative phenomenological analysis was applied to explore the lived experiences of frail patients and ascertain important themes. Patient experiences were captured in seven overarching themes: 1) the hospital as a place of "safety", 2) placing trust in others, 3) the slow recovery journey impeded by attitude and support, 4) maintaining autonomy and dignity whilst feeling vulnerable, 5) seeking a new normal, 6) loneliness and social isolation and 7) the ageing body. Based on our study findings, we have been able to suggest a number of opportunities to improve support for frailer patients in finding a new routine to their everyday lives, these include on-going physical and psychological support, information and education and a robust pathway for transition of care into the community. A conceptual thematic diagram is presented which helps to understand the experience and the complex needs of frail older people undergoing hip fracture surgery.

Understanding Racial, Ethnic, and Socioeconomic Differences in the Ambulatory Care Experience

BACKGROUND AND OBJECTIVE

Racial and ethnic and socioeconomic differences in patient experience are prevalent and can negatively impact health outcomes. Our objective was to examine differences in family experience of care in the pediatric ambulatory setting.

METHODS

We conducted interviews with parents of patients from different demographic groups who had received care at 1 of 3 clinics at a quaternary children's hospital. Multidisciplinary team conducted inductive and deductive thematic analysis of transcribed interviews. Sentiments and recurring themes were compared within and between racial and ethnic groups, insurance status, and language.

RESULTS

Eighty parents were interviewed. Three primary themes were identified: (1) mitigation of system issues: parents' mixed experiences with staff or clinicians mitigating system issues impacted their overall perceptions of care; (2) pivotal role of personal interactions: clinicians' interactions positively influenced family-clinician relationships and offset negative experiences; (3) effective explanations: clinicians' clear and thorough explanations were crucial in enhancing parent confidence in care. As an overarching theme, discrimination and disrespect by staff undermined trust in care, affecting all aspects of experience. With the exception of explanations, a higher proportion of publicly-insured parents reported negative experiences across all themes compared to those with private insurance. Asian parents with public insurance had the highest proportion of interviews that were mainly negative in sentiment.

CONCLUSIONS

Our findings offer nuanced insights into differences in the experience of ambulatory care. Insurance status emerged as an important marker of differential perceptions of care. Our study points to areas for improvement and highlights family-clinician interactions as vital to overall positive experience.

The effect of patient quality measurements and HCAHPS patient satisfaction on hospital reimbursements

BACKGROUND: The Centers of Medicare & Medicaid Services (CMS) links hospital reimbursements to quality metrics. Likewise, the Hospital Value-Based Purchasing (VBP) program offers financial incentives to acute-care hospitals based on performance improvements on several quality measures included in the national Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. A research gap exists with regard to assessing the effectiveness of VBP incentives on improving the patient’s quality of care. OBJECTIVE: This study is to determine whether hospitals which reported better patient quality metrics and lower frequency of pressure sores received higher reimbursements. METHODS: The data were retrieved from the CMS Care Compare website utilizing matched data from 2297 US hospitals. Information on HCAHPS, the VBP Program in Patient Safety Index, and Reimbursements was obtained for this study. Partial Least Square (PLS) was utilized thru SmartPLS 3.0 to test the hypotheses. RESULTS: The results did not reveal any financial penalties when hospitals reported lower patient quality outcomes and increased numbers of pressure sores. However, lower patient quality measures were associated with lower patient satisfaction. Controversially, lower patient satisfaction scores were associated with higher reimbursement rates overall. CONCLUSIONS: The main contribution of this study reveals that the effectiveness of value-based reimbursements and the concept of continuous improvement is constrained due to the lack of unified measurement objectives across US healthcare institutions.

Dismissal disagreement and discharge delays: Associations of patient-clinician plan of care agreement with discharge outcomes

BACKGROUND

Many hospitalized patients do not understand or agree with their clinicians about their discharge plan. However, the effect of disagreement on discharge outcomes is unknown.

OBJECTIVE

To measure the correlation between patient-clinician care agreement and discharge outcomes.

DESIGN

A prospective cohort study was performed from September 2019 to March 2020 (Rochester, MN, USA).

SETTING AND PARTICIPANTS

Internal medicine patients and their primary clinician (resident, advanced practice clinician or attending) hospitalized from September 2019-March 2020 at Mayo Clinic Hospital. Participants were independently surveyed following hospital day #3 ward rounds regarding the goals of the hospitalization and discharge planning.

MAIN OUTCOME AND MEASURES

Patient-clinician agreement for main diagnosis, patient's main concern, and four domains of discharge planning was assessed. Readiness for hospital discharge, delayed discharge, and 30-day readmission was measured. Then, associations between patient-clinician agreement, delayed discharge, and 30-day readmissions were analyzed using multivariable logistic regression.

RESULTS

Of the 436 patients and clinicians, 17.7% completely agreed about what needs to be accomplished before dismissal, 40.8% agreed regarding discharge date, and 71.1% agreed regarding discharge location. In the multivariable model, patient-clinician agreement scores were not significantly correlated with discharge outcomes. Patient-clinician agreement on discharge location was higher for those discharged to home (81.5%) versus skilled nursing facility (48.5%) or assisted living (42.9%) (p < .0001). The agreement on the expected length of stay was highest for home-goers (45.9%) compared to skilled nursing (32.0%) or assisted living (21.4%) (p = .004).

CONCLUSIONS

Patients and their clinicians frequently disagree about when and where a patient will go after hospitalization, particularly for those discharged to a skilled nursing facility. While disagreement did not predict discharge outcomes, our findings suggest opportunities to improve effective communication and promote shared mental models regarding discharge earlier in the hospital stay.

Careggi Re-Engineered Discharge (CaRED) Project: Standardize Discharge and Improve Care Coordination Between Healthcare Professionals

BACKGROUND

The hospital discharge process plays a key role for patient care. CaRED (Careggi Re-Engineered Discharge) aimed at establishing a meaningful relationship among General Practitioners (GPs) and patients, throughout the discharge process. In this paper we describe the activities and results in the period 2014 - 2017.

METHODS

CaRED is a restructured discharge protocol, which foresees a different, more direct form of communication between hospital and GPs, enabled by an ad-hoc electronic medical record. The 30-day hospital readmission rate and/or accesses to the emergency department were evaluated as proxy of effective communication. A pre-post survey was launched to assess the GPs' perceived quality, and patient and family satisfaction.

RESULTS

A total of 1,549 hospitalizations were included, respectively 717 in the pre and 832 in the post intervention period. The 30-day hospital readmission rate decreased significantly in the post intervention period (14.4% vs 19.4%, χ2(1)=8.03, P<0.05).Eighty-two and 52 GPs participated, respectively, in the pre- and post- survey. In the post-phase the percentage of GPs declaring the discharge letter facilitated the communication on the admission causes (χ2(1)=0.56, P=0.03) and on what to do if conditions change (χ2(31)=19.0 P <0.01) significantly increased, as well as the perception of an easier contact with the hospitalist (χ2(3)=19.6, P <0.01).Two-hundred-eighty and 282 patients were enrolled in the pre- and post- survey. The level of understanding of key parts of the discharge letter (reason for hospitalization, post-discharge therapy, follow-up examinations and how to contact the hospital ward) improved significantly (P <0.01).

CONCLUSIONS

CaRED significantly improved the discharge process, and became a benchmark for local improvements in communication patterns with GPs.

Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method

Background

Linkage of public healthcare data provides powerful resources for studying from a comprehensive view of quality of care than information for a single administrative database. It is believed that positive patient experiences reflect good quality of health care and may reduce patient readmission. This study aimed to determine the relationship between patient experience and hospital readmission at a system level by linking anonymous experience survey data with de-identified longitudinal hospital administrative admissions data.

Methods

Data were obtained by linking two datasets with anonymised individual-level records from seven largest-scale acute public hospitals over seven geographical clusters in Hong Kong. Selected records in the two datasets involving patient experience survey (PES) (2013 survey dataset) and healthcare utilization (admissions dataset) were used. Following data cleaning and standardization, a deterministic data linkage algorithm was used to identify pairs of records uniquely matched for a list of identifiers (10 selected variables) between two datasets. If patient’s record from the survey dataset matched with the hospitalization records in the admissions dataset, they were included in the subsequent analyses. Bivariate analyses and multivariable logistic regression models were performed to evaluate the associations between hospital readmission in the next calendar month and patient experience.

Results

The overall matching rate was 62.1% (1746/2811) for PES participants aged 45 or above from the survey dataset. The average score for overall inpatient experience was 8.10 (SD = 1.53). There was no significant difference between matched patients and unmatched patients in terms of their score for the perception of overall quality of care received during hospitalization (X² = 6.931, p-value = 0.14) and score for overall inpatient experience (X² = 7.853, p-value = 0.25). In the multivariable model, readmission through the outpatient department (planned admission) in the next calendar month was significantly associated with a higher score given to the overall quality of care received (adjusted OR = 1.54, 95%CI = 1.09–2.17), while such association was absent for readmission through Accident and Emergency department (adjusted OR = 0.75, 95%CI = 0.50–1.12).

Conclusions

This study demonstrated the feasibility of routine record linkage, with the limited intrusion of patients’ confidentiality, for evaluating health care quality. It also highlights the significant association between readmission through planned readmission and a higher score for overall quality of care received. A possible explanation might be the perceived better co-ordination between outpatient departments and inpatient service and the well-informed discharge plan given to this group of patients.

A Multicomponent Intervention to Reduce Readmissions Among People With HIV

BACKGROUND

Hospital readmissions are common, costly, and potentially preventable, including among people with HIV (PWH). We present the results of an evaluation of a multicomponent intervention aimed at reducing 30-day readmissions among PWH.

METHODS

Demographic, socioeconomic, and clinical variables were collected from the electronic health records of PWH or those with cellulitis (control group) hospitalized at an urban safety-net hospital before and after (from September 2012 to December 2016) the implementation of a multidisciplinary HIV transitional care team. After October 2014, hospitalized PWH could receive a medical HIV consultation ± a transitional care nurse intervention. The primary outcome was readmission to any hospital within 30 days of discharge. Multivariate logistic regression and propensity score analyses were conducted to compare readmissions before and after intervention implementation in PWH and people with cellulitis.

RESULTS

Overall, among PWH, 329 of the 2049 (16.1%) readmissions occurred before and 329 of the 2023 (16.3%) occurred after the transitional care team intervention. After including clinical and social predictors, the adjusted odds ratio of 30-day readmissions for postintervention for PWH was 0.81 (95% confidence interval: 0.66 to 0.99, P= 0.04), whereas little reduction was identified for those with cellulitis (adjusted odds ratio 0.91 (95% confidence interval: 0.81 to 1.02, P= 0.10). A dose-response effect was not observed for receipt of different HIV intervention components.

CONCLUSIONS

A multicomponent intervention reduced the adjusted risk of 30-day readmissions in PWH, although no dose-response effect was detected. Additional efforts are needed to reduce overall hospitalizations and readmissions among PWH including increasing HIV prevention, early diagnosis and engagement in care, and expanding the availability and spectrum of transitional care services.

Medication-Related Readmissions: Documentation of the Medication Involved and Communication in the Care Continuum

Background: Of all readmissions, 21% are medication-related readmissions (MRRs). However, it is unknown whether MRRs are recognized at the time of readmission and are communicated in the care continuum.

Objectives: To identify the prevalence of MRRs that contain a documentation on the medication involved (and therefore are regarded as recognized), and the proportion of communicated MRRs.

Setting: The study was performed in a teaching hospital.

Methods: In a previous study, a multidisciplinary team of physicians and pharmacists assessed the medication-relatedness, the medication involved and preventability of unplanned readmissions from seven departments. In the current cross-sectional study, two pharmacy team members evaluated the patient records independently. An MRR was regarded as recognized when the medication involved was documented in patient records. An MRR was regarded as communicated to the patient and/or the next healthcare provider when the medication involved or a description was mentioned in discharge letters or discharge prescriptions. The relationship between documented MRRs and whether the MRR was preventable as well as the relationship between (un)documented MRRs and the length of stay (LOS) were assessed. Descriptive data analysis was used.

Results: Of 181 included MRRs, 72 (40%) were deemed preventable by the multidisciplinary team. For 159 of 181 MRRs (88%), a documentation on the medication involved was present. Of 159 documented MRRs, 93 (58%) were communicated to patients and/or caregivers, 137 (86%) to the general practitioner, and 4 (3%) to the community pharmacy. The medication involved was documented less often for potentially preventable MRRs than for non-preventable MRRs (78 vs. 95%; p = 0.002). The LOS was longer for MRRs where the medication involved was undocumented (median 8 vs. 5 days; p = 0.062).

Conclusion: The results of this study imply that MRRs are not always recognized, which could impact patients’ well-being. In this study an increased LOS was observed with unrecognized MRRs. Communication of MRRs to the patients and/or the next healthcare providers should be improved.

Enhanced Recovery After Surgery (ERAS) for Cranial Tumor Resection: A Review

Enhanced Recovery After Surgery (ERAS) protocols describe a standardized method of preoperative, perioperative, and postoperative care to enhance outcomes and minimize complication risks surrounding elective surgical intervention. A growing body of evidence is being generated as we learn to apply principles of ERAS standardization to neurosurgical patients. First applied in spinal surgery, ERAS protocols have been extended to cranial neuro-oncological procedures. This review synthesizes recent findings to generate evidence-based guidelines to manage neurosurgical oncology patients with standardized systems and assess ability of these systems to coordinate multidisciplinary, patient-centric care efforts. Furthermore, we highlight the potential utility of multimedia, app-based communication platforms to facilitate patient education, autonomy, and team communication within each of the three settings.

Society for Maternal-Fetal Medicine Special Statement: A critique of postpartum readmission rate as a quality metric

Hospital readmission is considered a core measure of quality in healthcare. Readmission soon after hospital discharge can result from suboptimal care during the index hospitalization or from inadequate systems for postdischarge care. For many conditions, readmission is associated with a high rate of serious morbidity and potentially avoidable costs. In obstetrics, for postpartum care specifically, hospitals and payers can easily track the rate of maternal readmission after childbirth and may seek to incentivize obstetricians, maternal-fetal medicine specialists, or provider groups to reduce the rate of readmission. However, this practice has not been shown to improve outcomes or reduce harm. There are major concerns with incentivizing providers to reduce postpartum readmissions, including the lack of a standardized metric, a baseline rate of 1% to 2% that is too low to accurately discriminate between random variation and controllable factors, the need for risk adjustment that greatly complicates rate calculations, the potential for bias depending on the duration of the follow-up interval, the potential for the "gaming" of the metric, the lack of evidence that obstetrical providers can influence the rate, and the potential for unintended harm in the vulnerable postpartum population. Until these problems are adequately addressed, maternal readmission rate after a childbirth hospitalization currently has limited utility as a metric for quality or performance improvement or as a factor to adjust provider reimbursement.

Experience of hospital-initiated medication changes in older people with multimorbidity: a multicentre mixed-methods study embedded in the OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM) trial

BACKGROUND

A patient-centred approach to medicines optimisation is considered essential. The OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM) trial evaluated the effectiveness of medication review with shared decision-making (SDM) in older people with multimorbidity. Beyond evaluating the clinical effectiveness, exploring the patient experience facilitates a better understanding of contextual factors and mechanisms affecting medication review effectiveness.

OBJECTIVE

To explore experiences of hospital-initiated medication changes in older people with multimorbidity.

METHODS

We conducted a multicentre mixed-methods study, embedded in the OPERAM trial, combining semi-structured interviews and the Beliefs about Medicines Questionnaire (BMQ) with a purposive sample of 48 patients (70-94 years) from four European countries. Interviews were analysed using the Framework approach. Trial implementation data on SDM were collected and the 9-item SDM questionnaire was conducted with 17 clinicians.

RESULTS

Patients generally displayed positive attitudes towards medication review, yet emphasised the importance of long-term, trusting relationships such as with their general practitioners for medication review. Many patients reported a lack of information and communication about medication changes and predominantly experienced paternalistic decision-making. Patients' beliefs that 'doctors know best', 'blind trust', having limited opportunities for questions, use of jargon terms by clinicians, 'feeling too ill', dismissive clinicians, etc highlight the powerlessness some patients felt during hospitalisation, all representing barriers to SDM. Conversely, involvement of companions, health literacy, empathetic and trusting patient-doctor relationships, facilitated SDM. Paradoxical to patients' experiential accounts, clinicians reported high levels of SDM. The BMQ showed that most patients had high necessity and low concern beliefs about medicines. Beliefs about medicines, experiencing benefits or harms from medication changes, illness perception, trust and balancing advice between different healthcare professionals all affected acceptance of medication changes.

CONCLUSION

To meet patients' needs, future medicines optimisation interventions should enhance information exchange, better prepare patients and clinicians for partnership in care and foster collaborative medication reviews across care settings.

Clinical characteristics and risk factors of preventable hospital readmissions within 30 days

Knowledge regarding preventable hospital readmissions is scarce. Our aim was to compare the clinical characteristics of potentially preventable readmissions (PPRs) with non-PPRs. Additionally, we aimed to identify risk factors for PPRs. Our study included readmissions within 30 days after discharge from 1 of 7 hospital departments. Preventability was assessed by multidisciplinary meetings. Characteristics of the readmissions were collected and 23 risk factors were analyzed. Of the 1120 readmissions, 125 (11%) were PPRs. PPRs occurred equally among different departments (p = 0.21). 29.6% of PPRs were readmitted by a practitioner of a different medical specialty than the initial admission (IA) specialist. The PPR group had more readmissions within 7 days (PPR 54% vs. non-PPR 44%, p = 0.03). The median LOS was 1 day longer for PPRs (p = 0.16). Factors associated with PPR were higher age (p = 0.004), higher socio-economic status (p = 0.049), fewer prior hospital admissions (p = 0.004), and no outpatient visit prior to readmission (p = 0.025). This study found that PPRs can occur at any department in the hospital. There is not a single type of patient that can easily be pinpointed to be at risk of a PPR, probably due to the multifactorial nature of PPRs.

Online Reviews of Hemodialysis Centers Correlate With Medicare and Medicaid Survey Measures of Patient Experience

BACKGROUND AND OBJECTIVES

Patient experience in outpatient hemodialysis has been shown to be significantly correlated with health outcomes. The current gold standard for assessing patient experience in outpatient hemodialysis is the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH-CAHPS). Online reviews of outpatient hemodialysis centers could potentially serve as an additional source of information regarding patient experience, but they have not been well validated. This study aims to determine whether overall scores and subscores from patient-authored online reviews of outpatient dialysis centers are correlated with current gold standard survey-based measures of patient experience in outpatient hemodialysis.

METHODS

All reviews of hemodialysis centers posted to the online review site CiteHealth.com between March 2008 and October 2019 were collected (1081 reviews of 762 centers). Publicly-available ICH-CAHPS survey summary data and End Stage Renal Disease Quality Incentive Program (ESRD QIP) summary data from May 2016 to October 2019 were obtained from the Dialysis Facility Compare website. Spearman correlation coefficients were calculated between facilities' mean online review overall scores and subscores within a given year and their ICH-CAHPS ratings from the same year. Statistical significance was assessed with a 2-tailed permutation test. A Bonferroni correction for multiple hypothesis testing was applied.

RESULTS

The mean "Overall" score from CiteHealth.com had a significant positive correlation with the "Center Care Quality," "Staff," and "Facility" scores from ICH-CAHPS surveys. No significant correlation could be found between the mean "Overall" CiteHealth.com score and any other ICH-CAHPS patient satisfaction metric. There was a significant positive correlation between the mean CiteHealth.com "Center" score and the ICH-CAHPS "Center Care Quality" score, the mean CiteHealth.com "Facility" score and the ICH-CAHPS "Facility" score, and the mean CiteHealth.com "Staff" score and the ICH-CAHPS "Staff" score. No significant correlation was found between the mean CiteHealth.com "Nephrologist" score and the ICH-CAHPS "Nephrologist" score. No significant correlation was found between online review scores and ESRD QIP health outcome measures.

CONCLUSION

Certain components of online reviews are significantly correlated with ICH-CAHPS measures of patient experience. Additionally, online reviews come with narrative comments that can offer specific insights into positive and negative aspects of patient care that cannot always be elucidated by numeric survey questions. Online reviews may have utility as an adjunctive source of information to patient experience surveys such as the ICH-CAHPS.

Effects of contingency management and use of reminders for drug use treatment on readmission and criminality among young people: A linkage study of a randomized trial

INTRODUCTION

An increasing number of adolescents and emerging adults are entering treatment for drug use disorders in high-income countries. This fact points not only to a need to evaluate treatment outcomes related to drug use reduction, but also to evaluate other indicators of treatment success. The aim of this study was to examine treatment effects on predicting readmission to drug use treatment and being convicted for a criminal offence among youth. A second aim was to examine whether a psychiatric history had an impact on these outcomes.

METHODS

Participants were 460 youth aged 15-25 who took part in the YouthDAT, a randomized pragmatic clinical trial for outpatient drug use treatment. The trial compared four treatment conditions consisting of 12 sessions of a manualized treatment based on cognitive behavioral therapy and motivational interviewing. Condition one was the standard (only the manual); condition two consisted of standard treatment and contingency management (CM) (Vouchers); condition three included standard treatment, text reminders, and low-intensity aftercare (Reminders+LIA); and condition four combined the standard treatment, CM, text reminders, and low-intensity aftercare (Combined+LIA). The study linked participants to register data on psychiatric history, drug use treatment history, and criminal convictions.

RESULTS

Treatment conditions Reminders+LIA (aB = 0.42, p = .026) and Combined+LIA (aB = 0.69, p = .000) predicted longer time to readmission compared to standard treatment. The Vouchers condition predicted a lower risk for criminal convictions (aIRR = 0.26, p = .001). Half of the participants had a psychiatric history. The treatments with additional strategies were useful in delaying readmission and reducing convictions for these youth. The results remained significant in the adjusted models accounting for relevant participant characteristics.

CONCLUSIONS

Additional treatment strategies in outpatient drug use treatment, such as CM, text reminders, and low-intensity aftercare, predicted delayed readmission to treatment and fewer legal problems. Mental health problems were common among youth. However, the treatments with additional strategies were effective with youth with a psychiatric history. Overall, while the additional strategies may be resource demanding for clinical settings, they support treatment success and may also help to decrease other public costs.

TRIAL REGISTRATION

ISRCTN registry ISRCTN27473213.

Effect of Community Health Workers on 30-Day Hospital Readmissions in an Accountable Care Organization Population: A Randomized Clinical Trial

IMPORTANCE

Value-based care within accountable care organizations (ACOs) has magnified the importance of reducing preventable hospital readmissions. Community health worker (CHW) interventions may address patients' unmet psychosocial and clinical care needs but have been underused in inpatient and postdischarge care.

OBJECTIVE

To determine if pairing hospitalized patients with ACO insurance with CHWs would reduce 30-day readmission rates.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial was conducted in 6 general medicine hospital units within 1 academic medical center in Boston, Massachusetts. Participants included adults hospitalized from April 1, 2017, through March 31, 2019, who had ACO insurance and were at risk for 30-day readmission based on a hospital readmission algorithm. The main inclusion criterion was frequency of prior nonelective hospitalizations (≥2 in the past 3 months or ≥3 in the 12 months prior to enrollment). Data were analyzed from February 1, 2018, through March 3, 2021.

INTERVENTION

CHWs met with intervention participants prior to discharge and maintained contact for 30 days postdischarge to assist participants with clinical access and social resources via telephone calls, text messages, and field visits. CHWs additionally provided psychosocial support and health coaching, using motivational interviewing, goal-setting, and other behavioral strategies. The control group received usual care, which included routine care from primary care clinics and any outpatient referrals made by hospital case management or social work at the time of discharge.

MAIN OUTCOMES AND MEASURES

The primary outcome was 30-day hospital readmissions. Secondary outcomes included 30-day missed primary care physician or specialty appointments.

RESULTS

A total of 573 participants were enrolled, and 550 participants (mean [SD] age, 70.1 [15.7] years; 266 [48.4%] women) were included in analysis, with 277 participants randomized to the intervention group and 273 participants randomized to the control group. At baseline, participants had a mean (SD) of 3 (0.8) hospitalizations in the prior 12 months. There were 432 participants (78.5%) discharged home and 127 participants (23.1%) discharged to a short rehabilitation stay prior to returning home. Compared with participants in the control group, participants in the intervention group were less likely to be readmitted within 30 days (odds ratio [OR], 0.44; 95% CI, 0.28-0.90) and to miss clinic appointments within 30 days (OR, 0.56; 95% CI, 0.38-0.81). A post hoc subgroup analysis showed that compared with control participants, intervention participants discharged to rehabilitation had a reduction in readmissions (OR, 0.09; 95% CI, 0.03-0.31), but there was no significant reduction for those discharged home (OR, 0.68; 95% CI, 0.41-1.12).

CONCLUSIONS AND RELEVANCE

This randomized clinical trial found that pairing ACO-insured inpatient adults with CHWs reduced readmissions and missed outpatient visits 30 days postdischarge. The effect was significant for those discharged to short-term rehabilitation but not for those discharged home.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03085264.

Qualifications and Skills Required for Patient Experience Positions

The need to provide patient-centered care has been recognized by major players in the health-care field. As such, attention has been placed on patients' experience of the health care they receive, and health-care organizations have been investing in patient experience initiatives and staffing to implement those initiatives. Given this, the objective for this study was to investigate the qualifications and skills US health-care organizations seek for patient experience positions through a content analysis of job postings. Results show that patient experience positions are largely found in health systems and hospitals. These positions include coordinators, directors, managers, specialists, and advisors. Five key skills were identified: collaborating with stakeholders; coordinating, planning, and executing service excellence programs; handling complaints and grievances; educating and training leadership and frontline employees; and providing excellent customer service. The skills vary depending on the position. The overall goal for patient experience positions is to ensure a complete and positive patient experience. As these patient experience positions are relatively new, requirements will likely evolve over time as organizations adapt patient experience strategies.

Older adults experiences with ambulation during a hospital stay: A qualitative study

Older adults often lose their ability to independently ambulate during a hospital stay. Few studies have investigated older adults' experiences with ambulation during hospitalization. The purpose of this study was to understand older adults' perceptions of and experiences with ambulation during a hospital admission. A qualitative study using Inductive Content Analysis was conducted. Community-dwelling older adults (N = 11) were recruited to participant in five focus group meetings each lasting 90 min. All individuals participated in each focus group. Participants described high complexity in deciding whether or not they could ambulate. Six categories were identified: Uncertainty, Restriction Messaging, Non-Welcoming Space, Caring for Nurse and Self, Feeling Isolated, and Presenting Self. This study provides a detailed understanding of older adults' experiences and perceptions of a hospital stay. Findings from this study can serve as a foundation for future interventions to improve older adult patient ambulation during hospitalization.

Clinical Analytics Prediction Engine (CAPE): Development, electronic health record integration and prospective validation of hospital mortality, 180-day mortality and 30-day readmission risk prediction models

BACKGROUND

Numerous predictive models in the literature stratify patients by risk of mortality and readmission. Few prediction models have been developed to optimize impact while sustaining sufficient performance.

OBJECTIVE

We aimed to derive models for hospital mortality, 180-day mortality and 30-day readmission, implement these models within our electronic health record and prospectively validate these models for use across an entire health system.

MATERIALS & METHODS

We developed, integrated into our electronic health record and prospectively validated three predictive models using logistic regression from data collected from patients 18 to 99 years old who had an inpatient or observation admission at NorthShore University HealthSystem, a four-hospital integrated system in the United States, from January 2012 to September 2018. We analyzed the area under the receiver operating characteristic curve (AUC) for model performance.

RESULTS

Models were derived and validated at three time points: retrospective, prospective at discharge, and prospective at 4 hours after presentation. AUCs of hospital mortality were 0.91, 0.89 and 0.77, respectively. AUCs for 30-day readmission were 0.71, 0.71 and 0.69, respectively. 180-day mortality models were only retrospectively validated with an AUC of 0.85.

DISCUSSION

We were able to retain good model performance while optimizing potential model impact by also valuing model derivation efficiency, usability, sensitivity, generalizability and ability to prescribe timely interventions to reduce underlying risk. Measuring model impact by tying prediction models to interventions that are then rapidly tested will establish a path for meaningful clinical improvement and implementation.

U.S. hospital performance methodologies: a scoping review to identify opportunities for crossing the quality chasm

Background

Hospital performance quality assessments inform patients, providers, payers, and purchasers in making healthcare decisions. These assessments have been developed by government, private and non-profit organizations, and academic institutions. Given the number and variability in available assessments, a knowledge gap exists regarding what assessments are available and how each assessment measures quality to identify top performing hospitals. This study aims to: (a) comprehensively identify current hospital performance assessments, (b) compare quality measures from each methodology in the context of the Institute of Medicine’s (IOM) six domains of STEEEP (safety, timeliness, effectiveness, efficiency, equitable, and patient-centeredness), and (c) formulate policy recommendations that improve value-based, patient-centered care to address identified gaps.

Methods

A scoping review was conducted using a systematic search of MEDLINE and the grey literature along with handsearching to identify studies that provide assessments of US-based hospital performance whereby the study cohort examined a minimum of 250 hospitals in the last two years (2017–2019).

Results

From 3058 unique records screened, 19 hospital performance assessments met inclusion criteria. Methodologies were analyzed across each assessment and measures were mapped to STEEEP. While safety and effectiveness were commonly identified measures across assessments, efficiency, and patient-centeredness were less frequently represented. Equity measures were also limited to risk- and severity-adjustment methods to balance patient characteristics across populations, rather than stand-alone indicators to evaluate health disparities that may contribute to community-level inequities.

Conclusions

To further improve health and healthcare value-based decision-making, there remains a need for methodological transparency across assessments and the standardization of consensus-based measures that reflect the IOM’s quality framework. Additionally, a large opportunity exists to improve the assessment of health equity in the communities that hospitals serve.

Improving the US hospital reimbursement: how patient satisfaction in HCAHPS reflects lower readmission

PURPOSE

The purpose of this paper is to examine whether patient readmission rates are associated with patient satisfaction and Medicare reimbursement rates in the US hospitals.

DESIGN/METHODOLOGY/APPROACH

The Hospital Compare database was obtained from the Centers for Medicare and Medicaid Services (CMS) in the US. A total of 2,711 acute care hospitals were analyzed for this present study. The data included patient satisfaction surveys, hospital 30-days readmission ratios for heart failure and pneumonia patients and related payments. Exploratory factor analysis was applied in the first stage to operationalize constructs for scale development. Partial least squares (PLS) modeling analysis via Smart-PLS was utilized for testing the hypotheses.

FINDINGS

Results indicated that data provided from the Hospital Compare database for the acute care hospitals accurately reflect quality outcomes. Nevertheless, the Medicare Hospital Readmissions Reduction Program (HRRP) did not penalize the hospitals when patients reported lower satisfaction via the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores.

ORIGINALITY/VALUE

The findings suggest that a high-readmission rate is not associated with lower payment. Such results appear to conflict with the goals of value-based purchasing programs, which seek to penalize hospitals financially for higher readmission rates.

Association of Patient-reported Experiences and Surgical Outcomes Among Group Practices: Retrospective Cohort Study

OBJECTIVE

The aim of the study was to determine the association of patient-reported experiences (PREs) and risk-adjusted surgical outcomes among group practices.

BACKGROUND

The Centers for Medicare and Medicaid Services required large group practices to submit PREs data for successful participation in the Physician Quality Reporting System (PQRS) using the Consumer Assessment of Healthcare Providers and Systems for PQRS survey. Whether these PREs data correlate with perioperative outcomes remains ill defined.

METHODS

Operations between January 1, 2014 and December 31, 2016 in the American College of Surgeons' National Surgical Quality Improvement Program registry were merged with 2015 Consumer Assessment of Healthcare Providers and Systems for PQRS survey data. Hierarchical logistic models were constructed to estimate associations between 7 subscales and 1 composite score of PREs and 30-day morbidity, unplanned readmission, and unplanned reoperation, separately, while adjusting for patient- and procedure mix.

RESULTS

Among 328 group practices identified, patients reported their experiences with clinician communication the highest (mean ± standard deviation, 82.66 ± 3.10), and with attention to medication cost the lowest (25.96 ± 5.14). The mean composite score was 61.08 (±6.66). On multivariable analyses, better PREs scores regarding medication cost, between-visit communication, and the composite score of experience were each associated with 4% decreased odds of morbidity [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.92-0.99], readmission (OR 0.96, 95% CI 0.93-0.99), and reoperation (OR 0.96, 95% CI 0.93-0.99), respectively. In sensitivity analyses, better between-visit communication remained significantly associated with fewer readmissions.

CONCLUSIONS

In these data, patients' report of better between-visit communication was associated with fewer readmissions. More sensitive, surgery-specific PRE assessments may reveal additional unique insights for improving the quality of surgical care.

30-Day unanticipated healthcare encounters after prolapse surgery: impact of same day discharge

BACKGROUND

Same-day discharge is becoming increasingly common in gynecologic surgery; however, data are limited for frequency, setting, and severity of unanticipated healthcare visits for women who are discharged on the day of surgery after major prolapse repair.

OBJECTIVE

The purpose of this study was to evaluate whether discharge on the day of surgery is associated with increased 30-day unanticipated healthcare encounters after major pelvic organ prolapse surgery compared with discharge on or after postoperative day 1.

STUDY DESIGN

This is a retrospective analysis of women who underwent pelvic organ prolapse surgery by 8 female pelvic medicine and reconstructive surgery surgeons from January 2016 to October 2017. Unanticipated healthcare encounter was a composite variable of any visit to the office, emergency department, or hospital readmission. Number of visits, visit diagnoses, and complication severity (Clavien-Dindo classification) were compared by day of discharge with the use of χ2 tests. Multivariable analyses were performed.

RESULTS

Of 405 women, 258 (63.7%) were discharged on the day of surgery, and 147 (36.3%) were discharged on postoperative day 1 or later. Mean age was 66±11 years, body mass index was 27.9±4.8 kg/m². Most had stage III prolapse (n=273; 67.4%). Procedures included laparoscopic or robotic sacrocolpopexy, (n=163; 40.2%), vaginal apical suspensions (n=115; 28.4%), obliterative (n=105; 25.9%), and concomitant hysterectomy (n=229; 56.5%). There was no increase in the number of women with at least 1 unanticipated healthcare encounter within 30 days of surgery, based on discharge on the day of surgery compared with postoperative day 1 (24.0% vs 26.5%; P=.572). The majority of visits occurred in the office (17.8% vs 19.0%; P=.760). There was no increase in 30-day readmissions (3.5% vs 4.8%; P=.527). The most common visit diagnosis was pain and accounted for 31.5% of all visits, followed by urologic and gastrointestinal symptoms. Diagnoses and complication severity did not vary by day of discharge, except that women who were discharged on the day of surgery were more likely to have a superficial wound separation (11.3% vs 0%; P=.011) and less likely to experience grade II complications (7.4% vs 15.6%, P=.009). Few women had >1 unscheduled visit, and rates were similar between the 2 groups (6.2% vs 6.8%; P=.810). On multivariable regression, younger women (adjusted odds ratio, 1.03; 95% confidence interval, 1.001-1.05), those with lower body mass index (adjusted odds ratio, 1.07; 95% confidence interval, 1.13-1.01), and higher initial postanesthesia recovery unit pain scores (adjusted odds ratio, 1.11; 95% confidence interval, 1.02-1.21) were more likely to have an unanticipated healthcare encounter. Pain complaints were evaluated most often in the office compared with the emergency department (41.1% vs 13.0%); medical complications such as cardiac (15.6% vs 0%) and respiratory (6.5% vs 0%) were more likely to be evaluated in the emergency department. Higher grade complications (II/III) were more likely to visit the emergence department (78.2% vs 27.1%; P<.0001).

CONCLUSION

Same-day discharge after prolapse surgery did not result in an increase in 30-day unanticipated healthcare encounters.

The Value of Home Health Physical Therapy

The purpose of the Triple Aim is to improve population health, reduce healthcare costs, and improve the patient experience. These goals-to reduce cost while improving health outcomes and patient experiences have shifted utilization of services from other postacute care settings to the home. The purpose of this perspective article is to discuss how home healthcare services, and home physical therapy (PT) specifically, provide value to patients, caregivers, and payers to meet the goals of the Triple Aim. This article will substantiate the value of home PT and provide healthcare professionals with evidence-based information on the value of home PT.

Patients' and providers' perspectives on medication relatedness and potential preventability of hospital readmissions within 30 days of discharge

Background

Hospital readmissions are increasingly used as an indicator of quality in health care. One potential risk factor of readmissions is polypharmacy. No studies have explored the patients’ perspectives on the medication relatedness and potential preventability of their readmissions.

Objective

To compare the patients’ perspectives on the medication relatedness and potential preventability of their readmissions with the providers’ perspectives.

Methods

Patients unplanned readmitted within 30 days after discharge at one of the participating departments of OLVG Hospital in Amsterdam were interviewed during their readmission. Patients’ perspectives regarding medication relatedness of their readmissions, the potential preventability, possible preventable interventions, and satisfaction with medication information were examined. Health‐care providers also reviewed files of these readmitted patients. Primary outcome was the percentage of medication‐related and potentially preventable readmissions according to the patient vs the provider. Descriptive data analysis was used.

Results

According to patients, 36 of 172 (21%) readmissions were medication‐related, and of these, 21 (58%) were potentially preventable. According to providers, 26 (15%) readmissions were medication‐related and 6 (23%) of these were potentially preventable. Patients and providers agreed on the medication relatedness in 11 of the 172 readmissions, and in two of these, agreement on the potential preventability existed. According to patients, preventive interventions belonged mostly to the hospital level, followed by the primary care level and patient level.

Conclusion

Patients and providers differ substantially on their perspectives regarding the medication relatedness and preventability of readmissions. Patients were more likely to view medication‐related readmissions as preventable.

Development of a real-time physician-patient communication data collection tool

Objectives

To design a tool to assess and improve physician communication, provide physicians with personalised feedback in real time, and relate specific communication behaviours to patient experience measures. It was hypothesised that performance of fundamental communication behaviours would correlate with individual patient experience scores as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys.

Design

Prospective observational study.

Setting

Single-centre study at a mid-sized academic tertiary medical centre.

Participants

Thirteen hospitalists across 305 patient interactions were assessed in this study. Participants were recruited from three geographically cohorted adult general medicine-teaching teams on two inpatient units. Participants with cognitive impairment or who were unable to speak English were excluded from the study.

Main outcome measures

Frequency of performance of 10 fundamental communication behaviours.

Results

The communication behaviours of 13 hospitalists were assessed by 305 surveys: 146 observations, 106 patient reports and 52 excluded interactions. During rounds, 50% of physicians introduced themselves, 40% explained their role, 44% introduced other members of the team, 59% addressed patients by name, 58% addressed friends/family, 59% attempted to be at eye level, 41% asked permission before performing a physical examination, 40% asked if patients had questions and 20% asked if patients understood the plan of care. Several variables correlated with higher HCAHPS scores; however, addressing patients by name (r=0.60482, p=0.0492) and introducing other members of the team (r=0.87239, p=0.0234) were statistically significant.

Conclusion

This study highlights the importance of effective physician–patient communication and presents a unique data collection tool to assess and improve physician communication in real time. This tool can provide physicians with personalised feedback and relate specific communication behaviours to patient experience measures to provide high-quality care and improve the patient experience.

Association between cultural factors and readmissions: the mediating effect of hospital discharge practices and care-transition preparedness

OBJECTIVES

The study examines whether hospital discharge practices and care-transition preparedness mediate the association between patients' cultural factors and readmissions.

METHODS

A prospective study of internal medicine patients (n=599) examining a culturally diverse cohort, at a tertiary medical centre in Israel. The in-hospital baseline questionnaire included sociodemographic, cultural factors (Multidimensional Health Locus of Control, family collectivism, health literacy and minority status) and physical, mental and functional health status. A follow-up telephone survey assessed hospital discharge practices: use of the teach-back method, providers' cultural competence, at-discharge language concordance and caregiver presence and care-transition preparedness using the care transition measure (CTM). Clinical and administrative data, including 30-day readmissions to any hospital, were retrieved from the healthcare organisation's data warehouse. Multiple mediation was tested using Hayes's PROCESS procedure, model 80.

RESULTS

A total of 101 patients (17%) were readmitted within 30 days. Multiple logistic regressions indicated that all cultural factors, except for minority status, were associated with 30-day readmission when no mediators were included (p<0.05). Multiple mediation analysis indicated significant indirect effects of the cultural factors on readmission through the hospital discharge practices and CTM. Finally, when the mediators were included, strong direct and indirect effects between minority status and readmission were found (B coefficient=-0.95; p=0.021).

CONCLUSIONS

The results show that the association between patients' cultural factors and 30-day readmission is mediated by the hospital discharge practices and care transition. Providing high-quality discharge planning tailored to patients' cultural characteristics is associated with better care-transition preparedness, which, in turn, is associated with reduced 30-day readmissions.

Social Factors and Patient Perceptions Associated With Preventable Hospital Readmissions

Background:

Preventable hospital readmissions are costly and erode the quality of care delivery. Few efforts to incorporate the patient perspectives and social factors associated with readmission preventability exist.

Objective:

To identify patient perceptions and social barriers to care related to readmission.

Methods:

Prospective cohort study of 202 respondents readmitted within 30 days of hospital discharge from 2 inpatient adult medicine units at Massachusetts General Hospital, Boston, Massachusetts between January 2012 and January 2016.

Results:

Few participants indicated that their readmission was due to unattainable health care after discharge. Almost half indicated that they needed more general assistance to stay well outside the hospital. Those reporting a barrier related to at least 2 measures of social determinants of health were more likely to have preventable readmissions (34% vs 17%, P = .006). Participants with a history of homelessness or substance use disorder were more likely to have preventable readmissions (44% vs 20%, P = .04 and 32% vs 18%, P = .03, respectively).

Conclusion:

Strengthening nonmedical support systems and general social policy may be required to reduce preventable readmissions.

Public Hospitals in China: Is There a Variation in Patient Experience with Inpatient Care

In China, public hospitals are the main provider of inpatient service. The Chinese public hospital reform has recently shifted towards health care organizations and delivery to improve health care quality. This study analyzes the variation of one of the dimensions of health care quality, patient-centeredness, among inpatients with different socioeconomic status and geographical residency in China. 1471 respondents who received inpatient care in public hospitals were included in our analysis. Patient-centeredness performance was assessed on the dimensions of Communication, Autonomy, Dignity, and Confidentiality. Variations of inpatient experience were estimated using binary logistic regression models according to: residency, region, age, gender, education, income quintile, self-rated health, and number of hospital admissions. Our results indicate that older patients, and patients living in rural areas and Eastern China are more likely to report positive experience of their public hospital stay according to the care aspects of Dignity, Communication, Confidentiality and Autonomy. However, there remains a gap between China and other countries in relation to inpatient experience. Noticeable disparities in inpatient experience also persist between different geographical regions in China. These variations of patient experience pose a challenge that China's health policy makers would need to consider in their future reform efforts.

Association of the Trauma of Hospitalization With 30-Day Readmission or Emergency Department Visit

IMPORTANCE

Trauma of hospitalization refers to the depersonalizing and stressful experience of a hospital admission and is hypothesized to increase the risk of readmission after discharge.

OBJECTIVES

To characterize the trauma of hospitalization by measuring patient-reported disturbances in sleep, mobility, nutrition, and mood among medical inpatients, and to examine the association between these disturbances and the risk of unplanned return to hospital after discharge.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study enrolled participants between September 1, 2016, and September 1, 2017, at 2 academic hospitals in Toronto, Canada. Participants were adults admitted to the internal medicine ward for more than 48 hours. Participants were interviewed before discharge using a standardized questionnaire to assess sleep, mobility, nutrition, and mood. Responses for each domain were dichotomized as disturbance or no disturbance. Disturbance in 3 or 4 domains (the upper tertile) was considered high trauma of hospitalization, and disturbance in 0 to 2 domains (the lower 2 tertiles) was considered low trauma.

MAIN OUTCOME AND MEASURES

The primary outcome was readmission or emergency department visit within 30 days of discharge. The association between trauma of hospitalization and the primary outcome was examined using logistic regression, adjusted for age; sex; length of stay; Charlson Comorbidity Index Score; Laboratory-Based Acute Physiology Score; and baseline disturbances in sleep, mobility, nutrition, and mood.

RESULTS

A total of 207 patients participated, of whom 82 (39.6%) were women and 125 (60.4%) were men, with a mean (SD) age of 60.3 (16.8) years. Among the 207 participants, 75 (36.2%) reported sleep disturbance, 162 (78.3%) reported mobility disturbance, 114 (55.1%) reported nutrition disturbance, and 48 (23.2%) reported mood disturbance. Nearly all participants (192 [92.8%]) described a disturbance in at least 1 domain, and 61 participants (29.5%) had high trauma exposure. A statistically significant 15.8% greater absolute risk of readmission or emergency department visit was found in participants with high trauma (37.7%; 95% CI, 25.9%-51.1%) compared with those with low trauma (21.9%; 95% CI, 15.7%-29.7%), which remained statistically significant after adjusting for baseline characteristics (adjusted odds ratio, 2.52; 95% CI, 1.24-5.17; P = .01) and propensity score matching (odds ratio, 2.47; 95% CI, 1.11-5.73; P = .03).

CONCLUSIONS AND RELEVANCE

Disturbances in sleep, mobility, nutrition, and mood were common in medical inpatients; such trauma of hospitalization may be associated with a greater risk of 30-day readmission or emergency department visit after hospital discharge.

Patient Satisfaction Is Associated With Dialysis Facility Quality and Star Ratings

The Dialysis Facility Compare Star Rating and the Quality Incentive Program (QIP) generate separate performance scores from clinical measures, and the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH-CAHPS) survey evaluates patient satisfaction across 6 separate domains related to nephrologists, dialysis facility, and information transmission. This study examined the relationship of the 3 measures for US clinics, modeling the 6 ICH-CAHPS domains as independent variables and QIP and star ratings as dependent variables. Among 3176 dialysis clinics, domains assessing dialysis facility and information transmission had a consistently stronger relationship with QIP and star ratings than the domains assessing nephrologists: QIP, β (95% CI) = 1.62 (1.26-1.97) for dialysis facility staff rating, 0.70 (0.35-1.05) for nephrologists; star rating, odds ratio (95% CI) = 1.38 (1.29-1.49) for dialysis facility staff rating, 1.17 (1.09-1.25) for nephrologists. Patient satisfaction is associated with dialysis care quality, with surprising differences between nephrologists and dialysis facilities.