Predictors of patient satisfaction with inpatient hospital pain management across the United States: A national study

Association between self-reported pain experiences in hospital and ratings of care, readmission and emergency department visits: a population-based study from New South Wales, Australia

INTRODUCTION

Evidence on patient experiences with pain in hospitals and its impact on post-discharge outcomes is limited. This study investigated the prevalence of pain in hospitals, patient characteristics associated with pain management adequacy, and the link between pain experiences, care ratings, readmission and emergency department visits after discharge.

METHODS

We conducted a retrospective cross-sectional analysis of the 2019 Adult Admitted Patient Survey, focusing on self-reported pain experiences, including presence, severity and management adequacy. The outcomes included self-reported overall care ratings; readmission; and emergency department visits within one month of discharge. Multivariable logistic regression adjusted for population weight was used to estimate adjusted odds ratios.

RESULTS

Among 75 large public hospitals, 21,900 patients responded (35% response rate), with 51% of patients reporting pain (mean (SD) age 57 (8.8) y; 54.9% female), 38.3% of whom classified their pain as severe. Aboriginal and/or Torres Strait Islander people and patients who spoke a language other than English were less likely to report adequate pain management (aOR (95%CI) 0.74 (0.58-0.96) and 0.82 (0.70-0.96), respectively). Pain also correlated with poor to very poor care ratings (aOR (95%CI) 2.05 (1.42-2.95)). Those patients who experienced pain were twice as likely to be readmitted (aOR (95%CI) 1.92 (1.55-2.37)) or visit the emergency department after discharge (aOR (95%CI) 1.91 (1.58-2.32)). Conversely, adequate pain management was associated with a lower likelihood of readmission (aOR (95%CI) 0.69 (0.51-0.94)) and emergency department visits (aOR (95%CI) 0.62 (0.44-0.87)). Mediation analysis suggests adequate pain management significantly mediated the relationship between pain severity and hospital rating (50.8%), readmission (11.6%) and emergency department visits (5.9%), after adjusting for all available observed confounders.

DISCUSSION

This study highlights the importance of adequate pain management in patients' perception of care and recovery outcomes, especially among culturally and linguistically diverse patients.

Improving acute pain management of trauma patients on medication-assisted therapy

BACKGROUND

Approximately 9,500,000 people in the United States misused opioids in 2020. Many people manage their opioid use disorder (OUD) with medication-assisted treatment (MAT). Using MAT to address OUD adds to the complexities and challenges of adequate acute pain control.

LOCAL PROBLEM

Chart review indicated only 20% of trauma patients on MAT achieved adequate pain control on the trauma service at the University of Louisville Hospital. This quality initiative aimed to increase patient pain control to 50% in 90 days.

METHODS

A rapid cycle quality improvement project with four plan-do-study-act (PDSA) cycles was conducted over 8 weeks. Four core interventions were implemented concurrently, with tests of change biweekly. Qualitative and qualitative data analyses were completed at each cycle.

INTERVENTIONS

The core interventions included a risk assessment tool, shared decision-making (SDM) tool, provider checklist, and a team engagement plan.

RESULTS

The number of patients with a pain score of ≤5 (scale 0-10) increased to 78% from 20%. The mean pain score decreased from 8 to 4.6. The fourth PDSA cycle results showed a 92% patient engagement with SDM and 100% utilization of the provider checklist. Team engagement scores greater than 4 on a 5-point Likert scale were 86%.

CONCLUSIONS

Effective patient-centered acute pain control for trauma patients on MAT is achievable. The combined use of an SDM tool and a provider checklist was an efficient way to provide effective and patient-centered care and positively affected patient outcomes.

Patient Satisfaction With a Nurse-Led Pain Management Program: A Quasi-Experimental Study in Ethiopia

Introduction

Patient satisfaction is one of the important indicators of quality care.

Objective

To examine patient ratings of pain management satisfaction before and after introducing a nurse-led management program.

Methods

A quasi-experimental design with three cross-sectional surveys between October 1, 2016 and June 15, 2017. A total of 845 patients admitted to the four inpatient departments (medicine, surgery, maternity, and gynecology) of Jimma University Medical Centre were invited to participate in the study. A questionnaire adapted from the American Pain Society Patient Outcome Questionnaire, Pain Treatment Satisfaction Scale, and related literature was used for the survey. Data were analyzed using the chi-square test (categorical variables), t-tests for continuous variables, and robust regression to determine the effect of nurse-led management program on patient satisfaction. For all tests, p-values <.05 were considered statistically significant.

Results

Of the 845 patients invited, 782 (92.5%) participated in the surveys—Survey 1: N = 256; Survey 2: N = 259; Survey 3: N = 267. The proportion of patients who perceived that staff responded within 30 min increased from 67.8% in Survey 1 to 71.1% in Survey 2 and 74.2% in Survey 3. On a scale of 1 to 5 (1 = strongly dissatisfied and 5 = strongly satisfied), the overall mean patient satisfaction with pain management was 3.61 (SD 0.80) in Survey 1, 3.81 (SD 0.86) in Survey 2, and 4.10 (SD 0.64) in Survey 3. Moreover, the patients scored significantly higher on all satisfaction items in Survey 2 (B ranged between 0.12 and 0.41) and Survey 3 (B ranged between 0.24 and 0.74) compared to Survey 1.

Conclusion

The patients’ ratings of their satisfaction and staff nurse responsiveness following the nurse-led pain management program have increased compared to the levels before the intervention. However, further studies, including those with a control group, are warranted to confirm the results.

Causal Effect Analysis of Demographic Concordance of Physician Trust and Respect in an Emergency Care Setting

Objective

Patient perceptions of physician trust and respect are important factors for patient satisfaction evaluations. However, perceptions are subjective by nature and can be affected by patient and physician demographic characteristics. We aim to determine the causal effect on patient-physician demographic concordance and patient perceptions of physician trust and respect in an emergency care setting.

Methods

We performed a causal effect analysis in an observational study setting. A near-real-time patient satisfaction survey was sent via telephone to patients within 72 h of discharge from an emergency department (ED). Patient-trust-physician (PTP) and physician-show-respect (PSR) scores were measured. Patient and physician demographics (age, gender, race, and ethnicity) were matched. Causal effect was analyzed to determine the direct effect of patient-physician demographic concordance on PTP/PSR scores.

Results

We enrolled 1815 patients. The treatment effect of patient-physician age concordance on PTP scores was -0.119 (p = 0.036). Other treatment effect of patient-physician demographic concordance on patient perception of physician trust and respect ranged from -0.02 to -0.2 (p > 0.05).

Conclusion

Patient-physician age concordance may cause a negative effect on patient perception of physician trust. Otherwise, patient-physician demographic concordance has no effect on patient perceptions of physician trust and respect.

Predictors of a Top-Box Patient Experience: A Retrospective Observational Study of HCAHPS Data at a Safety Net Institution

Hospitals commonly seek to improve patient experience as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, yet there are limited data to guide improvement efforts. The HCAHPS survey was developed for interhospital comparisons, whereas its use in intrahospital comparisons has not been validated. We sought to better understand the validity of utilizing intrahospital score comparisons and to identify the factors that may predict top-box HCAHPS scores. We performed a retrospective observational cohort study at an academic urban safety-net hospital examining 4898 HCAHPS surveys completed by hospitalized patients. We found that while most Patient-Mix Adjustment factors for which HCAHPS scores are adjusted were associated with top-box scores on intrahospital comparisons, few additional variables were associated with top-box scores. Further, HCAHPS questions pertaining to nurse and doctor communication were highly correlated with overall hospital rating, suggesting that communication-related factors may influence a patient’s hospital experience more strongly than do administrative factors.

Inpatient Management of Migraine

Migraine is a frequently disabling neurologic condition which can be complicated by medication overuse headache and comorbid medical disorders, including obesity, anxiety and depression. Although most migraine management takes place in outpatient clinics, inpatient treatment is indicated for migraine refractory to multiple outpatient treatments, with intractable nausea or vomiting, need for detoxification from medication overuse (such as opioids and barbiturates), and significant medical and psychiatric disease. The goals of inpatient treatment include breaking the current cycle of headache pain, reducing the frequency and/or severity of future attacks, monitored detoxification of overused medications, and reducing disability and improving quality of life.

Does Hospital Size Affect Patient Satisfaction?

BACKGROUND

Centers for Medicare & Medicaid Services reimbursement is now contingent on quality measures such as patient satisfaction as determined by Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). In providing patient-centered care that is guided by patient satisfaction measures, it is critical to understand system-level factors that may influence how patients assess their care experiences. One important system-level influence to consider is hospital size.

METHODS

HCAHPS scores, number of hospital beds, and nursing magnet status were obtained from publically available Hospital Compare, American Hospital Directory, and Magnet Hospitals Web sites, respectively. An aggregate score for patient satisfaction was created across all domains of the HCAHPS. Multilevel regression modeling was performed to examine the associations between hospital size and HCAHPS aggregate and individual dimensions.

RESULTS

Hospital size was significantly associated with patient satisfaction such that larger size was associated with lower satisfaction (β = -.312, P < .001). Hospital size was most strongly associated with less patient satisfaction on the following HCAHPS items: "receiving help as soon as needed" (β = -.441, P < .001), "room and bathroom cleanliness" (β = -.286, P < .001), and doctor communication (β = -.213, P < .001), whereas nurse communication (β = .194, P < .001) was the one modifiable dimension that was associated with more favorable ratings in larger hospitals. Magnet nursing designation was significantly associated with larger hospital size (P < .001).

CONCLUSION

Patient satisfaction scores may be lower in large hospitals because of patients' perceptions of hospital cleanliness, receiving help on time, and doctor communication. Focusing on improving these factors may improve patient satisfaction scores for larger hospitals.

Beyond Pain: Nurses' Assessment of Patient Suffering, Dignity, and Dying in the Intensive Care Unit

CONTEXT

Deaths in the intensive care unit (ICU) are increasingly common in the U.S., yet little is known about patients' experiences at the end of life in the ICU.

OBJECTIVES

The objective of this study was to determine nurse assessment of symptoms experienced, and care received by ICU patients in their final week, and their associations with nurse-perceived suffering and dignity.

METHODS

From September 2015 to March 2017, nurses who cared for 200 ICU patients who died were interviewed about physical and psychosocial dimensions of patients' experiences. Medical chart abstraction was used to document baseline patient characteristics and care.

RESULTS

The patient sample was 61% males, 70.2% whites, and on average 66.9 (SD 15.1) years old. Nurses reported that 40.9% of patients suffered severely and 33.1% experienced severe loss of dignity. The most common symptoms perceived to contribute to suffering and loss of dignity included trouble breathing (44.0%), edema (41.9%), and loss of control of limbs (36.1%). Most (n = 9) remained significantly (P < 0.05) associated with suffering, after adjusting for physical pain, including fever/chills, fatigue, and edema. Most patients received vasopressors and mechanical ventilation. Renal replacement therapy was significantly (<0.05) associated with severe suffering (adjusted odds ratio [AOR] 2.53) and loss of dignity (AOR 3.15). Use of feeding tube was associated with severe loss of dignity (AOR 3.12).

CONCLUSION

Dying ICU patients are perceived by nurses to experience extreme indignities and suffer beyond physical pain. Attention to symptoms such as dyspnea and edema may improve the quality of death in the ICU.

Patient narratives in Yelp reviews offer insight into opioid experiences and the challenges of pain management

Aim: To characterize Yelp reviews about pain management and opioids. Methods: We manually coded and applied natural language processing to 836 Yelp reviews of US hospitals mentioning an opioid medication. Results: Yelp reviews by patients and caregivers describing experiences with pain management and opioids had lower ratings compared with other reviews. Negative descriptions of pain management and opioid-related experiences were more commonly described than positive experiences, and the number of themes they reflected was more diverse. Conclusion: Yelp reviews offer insights into pain management and opioid use that are not assessed by traditional surveys. As a free, highly utilized source of unstructured narratives, Yelp may allow ongoing assessment of policies related to pain management and opioid use.

Who presents satisfied? Non-modifiable factors associated with patient satisfaction among gynecologic oncology clinic patients

OBJECTIVE

To examine associations between non-modifiable patient factors and patient satisfaction (PS) among women presenting to a gynecologic oncology clinic.

METHODS

This is a cross sectional analysis of patients presenting for surgical management by a gynecologic oncologist at a tertiary care academic medical center. The Patient Satisfaction Questionnaire (PSQ-18) that measures PS in seven domains of health care was administered. Scores were converted to "satisfied" versus "unsatisfied/equivocal". Demographic and medical factors were obtained from the medical record. Chi-square, t-tests, and multivariable logistic regression were used.

RESULTS

208 patients completed the baseline patient satisfaction questionnaire and the median PSQ-18 score was 70.5 (range: 42-90). Median age was 58years (range: 22-93). Several non-modifiable factors were associated with PS. White patients had higher interpersonal PS than minorities (86% v 65%, p=0.002). The uninsured had lower interpersonal (60% v 86%, p=0.003) and accessibility PS (33% v 67%, p=0.03). Increasing education and less time travelled to care were both associated with higher interpersonal (p=0.03, p=0.05) and accessibility PS (p=0.01, p=0.01). There was no association between clinical factors (BMI, comorbidities, cancer) and PS. In multivariable analysis, the strongest predictor of interpersonal PS was white race while the strongest predictors of accessibility PS were time travelled to care and insurance status.

CONCLUSIONS

Patient satisfaction scores among patients presenting to a gynecologic oncology clinic are associated with non-modifiable demographic, financial and geographic factors. Pay for performance measures that use summed patient satisfaction scores may penalize hospitals for patient-mix driven differences.