Abstract
Venous thromboembolism (VTE) represents a major health-care problem. Understanding patient satisfaction with VTE care is an important health-care goal. A national online survey was administered to adults who had experienced a recent VTE event. The survey assessed patient satisfaction by: (1) satisfaction with VTE care provider; (2) likelihood to recommend VTE provider; and (3) satisfaction with communication between VTE care providers. Each question was correlated with patient demographics, patient care harms (ie, misdiagnosis, wrong treatment), patient beliefs concerning outcomes, and type of anticoagulant therapy. Respondents (907) were 52.4 ± 14.4 years, predominantly Caucasian, mostly women, and generally had health insurance. Most respondents were satisfied with VTE care providers, likely to recommend their VTE provider, and satisfied with communication between providers. Dissatisfaction was strongly associated with treatment mistakes, a wrong diagnosis or treatment, or delayed treatment. A national sample of VTE patients were generally satisfied with VTE care experiences. The VTE care dissatisfaction was strongly associated with perceived mistakes in VTE care. Interventions aimed at reducing, acknowledging, and communicating errors could be studied to improve VTE care satisfaction.
Keywords: anticoagulants, venous thromboembolism, patient satisfaction, treatment errors, deep venous thrombosis, pulmonary embolism
Introduction
Venous thromboembolism (VTE) is a common disease of both young and older patients and is associated with reduced mortality, a high rate of recurrence, and substantial health-care costs.1 Thirty percent of patients with VTE have a recurrence within 10 years.1 Due to the high recurrence rate, VTE has a major impact on the patients’ quality of life as concerns are raised about disease progression, reoccurrence, and the need for life-long anticoagulant therapy in some cases.2 Consequently, patients who have been diagnosed with VTE often suffer from emotional distress.2 Patients who report experiencing higher levels of anxiety and emotional distress are at greater risk of recurrent VTE.3 Treatment of VTE with anticoagulant medications is commonly associated with bleeding and bruising, which may also increase emotional distress due to patients worrying about these events occuring.4 Emotional distress is often accompanied by general dissatisfaction and pessimism, which can result in decreased patient satisfaction.5,6
Little is known about what specific factors are associated with overall patient VTE care satisfaction. Patient satisfaction is multifactorial and is associated with multiple sociodemographic factors including sex, age, racial identity, employment status, educational level, and insurance status.5,7–9 It has been shown that increased patient satisfaction will generally lead to overall improved patient outcomes, including decreased hospital readmission rates, increased patient therapy compliance,5,10,11 and better ability to recall physician recommendations.5,12 The purpose of this study is to explore the specific impact of various factors on levels of patient satisfaction with VTE care and assess how patient satisfaction is related to patient beliefs and self-reported harms.
Methods
Sample and Procedure
This study was approved by the University of Utah’s institutional review board before initiating data collection. All participants provided informed consent prior to commencing the survey. The sample was comprised of patients recruited by an independent contract research organization (Hall & Partners, New York, New York) from a nationally representative panel of consumers who preenrolled to participate in research studies (Research Now; Research Now Group, Inc, New York, New York). Between May 10, 2016, and July 10, 2016, eligible patients self-completed online surveys on a first-come basis until the predetermined sample size of approximately 1000 was achieved. Patients accessed the survey electronically through a link in an invitation e-mail and were offered an industry standard honorarium for completing the survey. Patients were screened to be those aged 18 years or older who experienced at least 1 VTE event in the past 2 years. Patients diagnosed with cancer within the past 2 years were excluded.
Survey
Baseline characteristics
Patients indicated their sex, age in years, and their self-identification of race and ethnicity. Patients also responded to whether they had health insurance currently, whether their residence was located in a rural or urban community, and what their total household income was before taxes. Patients indicated whether their most recent VTE was deep vein thrombosis (DVT), pulmonary embolism (PE), or both, whether their most recent VTE event occurred within the past month, and whether the most recent VTE event occurred within 30 days of a surgical procedure. Patients indicated which anticoagulant medications they had been prescribed for their most recent VTE event, selecting single or multiple agents from the following: warfarin, direct oral anticoagulants (dabigatran, rivaroxaban, apixaban, edoxaban), injectables (low-molecular-weight heparin, unfractionated heparin), and/or aspirin. Patients could also indicate if no anticoagulant therapy was prescribed.
Health-care use and satisfaction correlates
Patients indicated their level of comorbid health conditions by selecting from a list of conditions diagnosed by their doctors in the past 2 years. Patients were asked how often they typically visit a primary health-care provider in the past 12 months. Barriers to health-care service access were assessed by asking, on a 10-point rating scale (from 1 = “not at all difficult” to 10 = “extremely difficult”), how difficult it was to meet costs related to their VTE care and their VTE prescription medications and whether transportation issues made it difficult to get their VTE care. On another 10-point Likert scale (from 1 = “not at all needed” to 10 = “extremely needed”), patients indicated the degree to which they needed the support of others at home to get their VTE care. The difficulty or further need of support were then defined as the score of 8 or above on the Likert scale.
Patients indicated their overall level of satisfaction with the provider who provided the majority of their VTE care. Satisfaction with VTE care for their most recent VTE event was assessed across multiple health-care settings including hospital, primary health-care provider’s office, specialty health-care provider’s office, anticoagulation clinic, and home. Patients also indicated their level of satisfaction with communication between the providers responsible for their VTE care. Each of these was scored on a Likert scale from 1 = “very dissatisfied,” 2 = “somewhat dissatisfied,” 3 = “neither dissatisfied nor satisfied,” 4 = “somewhat satisfied,” and 5 = “very satisfied.” Satisfaction was defined as scores of 4 or 5 on this scale. On the same scale, patients indicated their satisfaction with the VTE education provided by their health-care providers in conversation, through printed materials (eg, brochures, booklets, etc), via online resources recommended by their health-care provider (eg, medical websites, medication websites, etc), and through patient support groups. Finally, patients were asked to indicate how likely they would be to recommend the health-care provider who was primarily responsible for the majority of their care to friends or relatives if they also experienced a VTE event on a scale from 1 to 10, where 1 means “not at all likely” and 10 means “extremely likely.” Responses of 8 or higher on the Likert scale defined those who would recommend their VTE provider to others. An open text response field allowed patients to explain why they chose the rating for recommending their provider to others.
Emotional harms
The Hospital Anxiety and Depression Scale (HADS) was used to assess the level of current VTE-related anxiety and depression experienced by patients.13 The HADS scale comprises two 7-item subscales for anxiety and depression, each with high previously reported internal consistency. Each item is scored on a 4-point Likert scale of 0 = “not at all,” 1 = “from time to time, occasionally,” 2 = “a lot of time,” and 3 = “most of the time.” Patients were asked the following questions regarding mistakes in VTE care: “Has a doctor EVER made a mistake in your VTE care (Yes/No)?”; “Has a doctor EVER made a wrong diagnosis or misdiagnosed you in relation to a VTE event (Yes/No)?”; and “Has a doctor EVER given you the wrong medical treatment or delayed treatment for your VTE care?” Patients were also asked to indicate whether any of these mistakes in care had happened within the previous 12 months (Yes/No).
Psychosocial correlates
Quality-of-life scores were collected using the Optum Health Survey Short-Form 12 (SF-12), a validated widely used quality-of-life assessment instrument. The SF-12 is composed of Physical Health Component Summary and Mental Health Component Summary scores. Patients indicated their degree of perceived control over health using the Multidimensional Health Locus of Control (MHLC) Scales–Form C.14 This 18-item instrument is designed to be adapted for any medical condition. For this study, items were reworded to reflect VTE (eg, “Whatever goes wrong with my VTE is my own fault”). The MHLC scales comprise 4 subscales with established reliability and validity metrics: internality, chance, doctors, and other people.14–16 People who score high on the internality scale believe their own health behaviors determine their health status, those who score high on the chance subscale believe their health status lies outside their control, the doctors subscale indicates belief that health status lies with doctors, and the other people subscale indicates that people other than the patient influence health status.15
Statistical Analysis
Descriptive statistics examined the frequency or mean and standard deviation (SD) of categorical and continuous variables, respectively. Independent variables were correlated with VTE care satisfaction outcomes to examine the strength and direction of associations. Relevant variables where statistically significant differences existed between patients who did and did not express satisfaction with VTE care from the bivariate analyses were included in a multivariable linear regression model predicting the likelihood of being dissatisfied with recent VTE care, not recommending VTE provider to others, and dissatisfaction with communication between VTE providers. All data were analyzed with SAS v9.4 (Cary, North Carolina) with significance set at a P value of <.05.
Results
Of the eligible sample, a total of 971 patients entered and completed the full survey. After the data set was cleaned to remove those patients giving nonsensical data (ie, not providing variation in answers, completing the survey in unrealistically short time, giving manifestly inconsistent responses), there was a total of 907 (93.4%) surveys available for analysis. The demographics of the final sample are summarized in Table 1. Overall, the respondents were middle-aged (52.4, SD: 14.4 years), mostly female (56.7%), the majority Caucasian (86.6%), lived mainly in urban communities (82.7%), nearly all reported they had health insurance (97.4%), and most had annual income >$25 000 (84.2%). Most respondents reported multiple comorbid conditions, with the most commonly reported being a prior history of DVT (84.8%) or PE (33.7%), high blood pressure (45.6%), depression (28.5%), heart disease (27.5%), and anxiety (26.7%). The most recent VTE event reported was DVT (63.8%) and PE (18.1%) and 18.1% experienced both DVT and PE. There were no statistically significant differences between respondents who were and were not satisfied with their overall VTE care in terms of general demographics, comorbid conditions, time since most recent VTE, VTE type, frequency of primary care provider visits, and anticoagulant therapy type (Table 1).
Table 1.
Patient Baseline Characteristics Categorized by Overall Satisfaction With VTE Care.
| Total (N = 907) | Dissatisfieda With Most Recent VTE Care (N = 116, 12.8%) | Satisfied With Most Recent VTE Care (N = 791, 87.2%) | P Value | ||||
|---|---|---|---|---|---|---|---|
| Characteristic | N, Mean | SD, % | N, Mean | SD, % | N, Mean | SD, % | |
| Female | 514 | 56.7 | 68 | 58.6 | 446 | 56.4% | .65 |
| Age in years, mean | 52.4 | 14.4 | 50.9 | 13.5 | 52.6 | 14.5 | .22 |
| Race | |||||||
| Caucasian | 804 | 88.6 | 105 | 90.5 | 699 | 88.4 | .50 |
| Other | 103 | 11.4 | 11 | 9.5 | 92 | 11.6 | |
| Ethnicity | |||||||
| Hispanic | 96 | 10.6 | 13 | 11.21 | 83 | 10.5 | .82 |
| Community residence | |||||||
| Rural | 157 | 17.3 | 19 | 16.4 | 138 | 17.5 | .78 |
| Urban | 750 | 82.7 | 97 | 83.6 | 653 | 82.6 | |
| Insurance status | |||||||
| Insured | 883 | 97.4 | 110 | 94.8 | 773 | 97.7 | .07 |
| Annual income | .72 | ||||||
| High (≥$100 000) | 241 | 26.6 | 27 | 26.6 | 214 | 27.1 | |
| Medium ($50 000-$99 999) | 329 | 36.3 | 45 | 36.3 | 284 | 35.9 | |
| Low ($25 000-$49 999) | 193 | 21.3 | 23 | 21.3 | 170 | 21.5 | |
| Very low (<$25 000) | 144 | 15.8 | 21 | 15.9 | 123 | 15.6 | |
| Comorbiditiesb | .33 | ||||||
| Anxiety | 242 | 26.7 | 41 | 35.3 | 201 | 25.4 | |
| DVT | 769 | 84.8 | 101 | 87.1 | 668 | 84.5 | |
| Depression | 258 | 28.5 | 37 | 31.9 | 221 | 27.9 | |
| Diabetes | 156 | 17.2 | 19 | 16.4 | 137 | 17.3 | |
| Heart disease | 249 | 27.5 | 35 | 30.2 | 214 | 27.1 | |
| Hypertension | 414 | 45.6 | 47 | 40.5 | 367 | 46.4 | |
| PE | 306 | 33.7 | 41 | 35.4 | 265 | 33.5 | |
| Stroke | 77 | 8.5 | 16 | 13.8 | 61 | 7.7% | |
| Time since most recent VTE | .31 | ||||||
| ≤30 days | 174 | 19.2 | 7 | 6.0 | 70 | 8.9 | |
| >30 days | 733 | 80.8 | 109 | 94.0 | 721 | 91.2 | |
| Most recent VTE type | .07 | ||||||
| DVT | 579 | 63.8 | 67 | 57.8 | 512 | 64.7 | |
| PE | 164 | 18.1 | 19 | 16.4 | 145 | 18.3 | |
| Both | 164 | 18.1 | 30 | 25.9 | 134 | 16.9 | |
| Frequency of PCP visits | .50 | ||||||
| Monthly | 158 | 17.4 | 24 | 20.7 | 134 | 16.9 | |
| Every 2 to 5 months | 365 | 40.2 | 46 | 39.7 | 319 | 40.3 | |
| Every 6 months | 255 | 28.1 | 27 | 23.3 | 228 | 28.8 | |
| ≤1/year | 129 | 14.2 | 19 | 16.4 | 110 | 13.9 | |
| Anticoagulant therapy type | .28 | ||||||
| Injectable anticoagulants | 35 | 3.9 | 4 | 3.4 | 31 | 3.9 | |
| Warfarin | 351 | 38.7 | 42 | 36.2 | 309 | 39.1 | |
| DOACs | 237 | 26.1 | 31 | 26.7 | 206 | 26.0 | |
| Switch/warfarin and DOACs | 121 | 13.3 | 13 | 11.2 | 108 | 13.7 | |
| Switch between DOACs | 41 | 4.5 | 4 | 3.4 | 37 | 4.7 | |
| Aspirin | 79 | 8.7 | 11 | 9.5 | 68 | 8.6 | |
| No Therapy | 43 | 4.7 | 11 | 9.5 | 32 | 4.0 | |
Abbreviations: DOAC, direct oral anticoagulant; DVT, deep vein thrombosis; PCP, primary care provider; PE, pulmonary embolism; VTE, venous thromboembolism.
aDefined as score of 1 to 3 on a 5-point Likert scale pertaining to satisfaction with provider who was primarily responsible for VTE care.
bPatients could select more than one comorbidity.
Most patients (87.2%) indicated at least some degree of satisfaction with their most recent VTE care experience. The mean score aligned with a ranking of being moderately satisfied with the care provided by the health-care provider primarily responsible for their VTE care (4.30, SD: 0.97 on a 5-point Likert scale). Overall, 69.9% of patients indicated that they would recommend (score ≥8 on a 10-point Likert scale) the provider primarily responsible for their VTE care to friends or family members (8.09, SD: 2.30 on a 10-point Likert scale). Patients also indicated that they were moderately satisfied with the communication between their VTE health-care providers regarding their VTE care (81.8% ≥4; 4.20, SD: 1.03 on a 5-point Likert scale).
The proportion of patients expressing satisfaction with VTE care received in the hospital (687/817, 84.1%), primary care provider’s office (726/856, 84.8%), specialty provider’s office (639/744, 85.9%), and at home (648/773, 83.8%) was similar and higher than for care received at “thrombosis services” (224/390, 74.9%). Conversely, proportions of dissatisfaction ranged from 25.1% (thrombosis services) to 14.1% (specialty provider’s offices). The proportion of patients expressing satisfaction with VTE care educational material provided by conversation was 692 of 858 (80.7%), through printed material 603 of 795 (75.8%), through online material 537 of 693 (77.5%), and through patient support groups 229 of 362 (63.3%), respectively.
Patients who were satisfied with their overall VTE care were more likely to recommend the provider primarily responsible for their VTE care to others (78.3% vs 12.9%, P < .001) and were also more likely to be satisfied with communication between their VTE providers (90.0% vs 25.9%, P < .001) than those who were dissatisfied with their VTE care (Table 2).
Table 2.
Comparison of Outcome Measures for Patients With Recent VTE Categorized by Overall Satisfaction With VTE Care.
| Characteristic | Dissatisfieda With Most Recent VTE Care (N = 116) | Satisfied With Most Recent VTE Care (N = 791) | P Value | ||
|---|---|---|---|---|---|
| n | % | n | % | ||
| Recommend VTE provider to others | |||||
| Likely | 15 | 12.9 | 619 | 78.3 | <.001 |
| Communication between VTE care providers | |||||
| Satisfied | 30 | 25.9 | 712 | 90.0 | <.001 |
| SF-12 Health Survey (Quality of Life) score <50 (below average) | |||||
| Mental component score | 75 | 64.7 | 439 | 55.5 | .08 |
| Physical component score | 99 | 85.3 | 590 | 74.6 | .02 |
| Multidimensional Health Locus of Control (MHLC) score in top quartile | |||||
| Internal score | 18 | 15.5 | 204 | 25.8 | .02 |
| Chance score | 25 | 21.6 | 201 | 25.4 | .43 |
| Doctors score | 25 | 21.6 | 328 | 41.5 | <.01 |
| Other people score | 45 | 38.8 | 272 | 34.4 | .41 |
| Hospital Anxiety and Depression Scale (HADS) score 11+ (abnormal) | |||||
| Anxiety | 45 | 38.8 | 179 | 22.6 | <.01 |
| Depression | 30 | 25.9 | 75 | 9.5 | <.01 |
Abbreviations: SF-12, short form-12 question survey; VTE, venous thromboembolism.
aDefined as score of 1 to 3 on a 5-point Likert scale pertaining to satisfaction with provider who was primarily responsible for VTE care.
Patients expressing satisfaction with VTE care with the provider primarily responsible for providing VTE care were less likely to have below average quality of life as measured by the SF-12 Physical Component Score. A similar trend was seen in the SF-12 Mental Component Score, but this difference was not statistically significant (Table 2). Patients who believed that their own health behaviors or their doctor’s actions determine their VTE health status as measured by MHLC internal and doctors’ scores were more likely to express overall satisfaction with their VTE care. Patients reporting abnormal levels of VTE-related anxiety or depression as measured by HADS scores were more likely to express overall dissatisfaction with VTE care.
Table 3 shows regression modeling outcomes for the satisfaction with the provider primarily responsible for providing VTE care, likeliness to recommend this provider, and communication between VTE provider questions, respectively. Multivariable regression modeling showed that mistakes in VTE care, a wrong diagnosis or treatment resulting in need to change doctors, and the need to change providers due to mistakes in VTE care were strongly associated with dissatisfaction. Mistakes in VTE care were associated with 3-fold increased odds of dissatisfaction in overall VTE care and dissatisfaction with the communication between VTE providers and 2-fold increased odds of being less likely to recommend the provider primary responsible for VTE care to others. Having to change providers due to mistakes in care similarly doubled the odds of dissatisfaction with overall VTE care and communication between VTE providers. Other associations such as MHLC internal and doctors scores, HADS depression or SF-12 mental component scores, or perceived barriers with transportation for VTE care were only modestly associated with dissatisfaction and likelihood of recommending the patient’s VTE provider to others.
Table 3.
Bivariate and Multivariate Regression Analysis.
| Bivariate Association, Odds Ratioa (95% Confidence Interval) | Multivariate Association, Adjusted Odds Ratioa (95% Confidence Interval) | |
|---|---|---|
| Overall dissatisfaction with VTE care | ||
| MHLC internal score | 1.07 (1.04-1.10) | 1.04 (1.00-1.08) |
| MHLC doctors score | 1.30 (1.20-1.40) | 1.23 (1.13-1.35) |
| HADS depression | 1.12 (1.08-1.18) | 1.08 (1.02-1.14) |
| Meet transportation issues | 1.07 (1.008-1.14) | 1.42 (0.88-2.29) |
| Mistake in VTE care | 2.78 (1.54-5.26) | 3.27 (1.93-5.53) |
| Wrong VTE diagnosis or wrong treatment resulting in changing providers | 2.44 (1.33-4.35) | 2.72 (1.57-4.71) |
| Not likely to recommend VTE provider to others | ||
| MHLC doctors score | 1.41 (1.32-1.51) | 1.33 (1.24-1.43) |
| HADS depression | 0.88 (0.85-0.91) | 0.94 (0.90-0.98) |
| Meet transportation issues | 1.08 (1.01-1.18) | 1.10 (1.03-1.16) |
| Mistake in VTE care | 2.13 (1.33-3.85) | 2.38 (1.47-4.00) |
| Dissatisfaction with communication between VTE providers | ||
| SF-12 Mental Component Score | 1.04 (1.02-1.05) | 1.03 (1.01-1.05) |
| MHLC internal score | 1.07 (1.04-1.10) | 1.04 (1.00-1.07) |
| MHLC doctors score | 1.36 (1.26-1.46) | 1.31 (1.21-1.42) |
| Mistake in VTE care | 2.70 (1.54-4.55) | 2.86 (1.75-4.69) |
| Wrong VTE diagnosis or wrong treatment resulting in changing providers | 1.85 (1.05-3.23) | 2.06 (1.22-3.46) |
Abbreviations: HADS, Hospital Anxiety and Depression Scale; MHLC, Multidimensional Health Locus of Control; SF-12, short form-12 question survey; VTE, venous thromboembolism.
aOdds ratios or adjusted odds ratios >1.0 indicate dissatisfaction with VTE care.
Discussion
Our study shows a majority of patients who had suffered a VTE event in the past 2 years and completed a national online survey expressed at least moderate levels of satisfaction with their overall VTE care experience and the communication between VTE care providers. Further, most patients would recommend the provider primarily responsible for their VTE care to others. Satisfaction with VTE care was associated with improved quality of life, a perception of greater self-control over VTE health-care status, and less depression and anxiety. Patients who reported dissatisfaction with their VTE care were less likely to recommend their VTE provider and were less likely to be satisfied with the communication between their VTE providers, especially when they perceived mistakes in VTE care and/or a wrong VTE diagnosis or treatment had occurred.
US health-care consumers are largely positive about the quality of health care they receive. Approximately 77% of Americans said the health care they received was excellent or good in Gallop poll from November 2017.17 Patient satisfaction affects clinical outcomes including timely, efficient, and patient-centered delivery of quality health care.18 Patient satisfaction can therefore be a proxy for health-care success across different practices. Our study of satisfaction with VTE care showed similar rates of patient satisfaction and also that 1 in 5 patients expresses some level of dissatisfaction with VTE care.
Our results suggest that patient perceptions of mistakes in VTE care or poor communication between providers during the VTE care process appears to be a driver of poor satisfaction with VTE care. Specific comments provided by patients in “open-text” survey responses provide context to the adjusted odds ratio findings from multivariate regression analysis that indicated a strong association with errors and/or mistakes in care and dissatisfaction. Examples include the following quotes: “The doctor totally missed all the details I gave her of my symptoms. All the symptoms were there. Incompetent Doctor.” “He had my blood thinned to the point that I was bleeding internally and had to have blood transfusions and admitted to the area hospital. He did NO patient education for the blood thinners.” “I had a saddle embolism and the primary care physician gave me an inhaler and sent me home.” Interventions such as the use of diagnostic algorithms, special care around transitions from one site of care to another, and a structured process for monitoring anticoagulant therapy may help to avoid these types of mistakes and thus improve overall satisfaction with VTE care.
The diagnosis and treatment of VTE includes complexity that may contribute to risk of missed diagnosis and perceived medical errors. Complexity may be exacerbated by a lack of a coordinated data management and communication among providers through many different electronic medical record platforms, although adoption of health information technology is improving rapidly.19,20 Packed provider visit schedules and short appointment times are known barriers interfering with the provider–patient relationship and may reduce patient connectivity and satisfaction, thereby contributing to perceptions of poor communication and mistakes in care.21 In addition to misdiagnosis, this can lead to unnecessary referrals, overtreatment, and patient confusion regarding their condition including whether to initiate, adjust, continue, or discontinue care, often without provider input. Health illiteracy, affecting as many as 50% of the population, should also be considered.22 Care complexity reflects how important the provider–patient interaction is to patient satisfaction in the provision of VTE care.23
Our survey was designed to capture patient experiences as they transitioned between various sites of care during their VTE treatment. Overall, the majority of patients were satisfied with the VTE care they received in the hospital, in physician’s offices, and at home. Although 7 of 10 patients expressed satisfaction with the care they received from “thrombosis services,” this proportion was lower than for other care sites. The number of patients who indicated they had received care in thrombosis services was lower than other care sites and perhaps there was confusion about the meaning of this term.
Overall, a high proportion of patients expressed satisfaction with the education materials they received from their VTE care providers, with the exception of education received through patient support groups. Comparatively fewer patients indicated that they had participated in patient support groups than other types of education.
The present study has limitations including the online nature of the survey which may have resulted in the elderly patients without computer access and lower income patients being underrepresented in the study. We were not able to assess interventions aimed at improving VTE care satisfaction due to the cross-sectional nature of our survey. We relied primarily on self-reported metrics which may be subject to various forms of bias. However, we collected data from a large national population which increases the generalizability of our results. We also used validated outcome measures which increases the reliability of the findings reported in our study.
Conclusion and Relevance
This study shows that most patients with a recent VTE episode who responded to an online survey were at least moderately satisfied with the care they received from the provider primarily responsible for their VTE care and are likely to recommend this provider to others. Importantly, VTE care dissatisfaction was strongly associated with perceived mistakes in care. Therefore, interventions aimed at reducing diagnostic or treatment errors are important to avoid erosion in VTE care satisfaction. We hope the results of our study will provide helpful information to other investigators interested in designing studies that will assess the outcomes of interventions aimed at improving patient satisfaction. For example, as a belief that doctors are primarily responsible for VTE outcomes was associated with dissatisfaction with VTE care, the impact of interventions aimed at empowering patients such as patient education programs or patient support groups could be assessed in future studies. Other studies could assess the impact of implementing a structured communication plan for acknowledging and disclosing mistakes in VTE care on patient satisfaction.24
Footnotes
Authors’ Note: All authors fully contributed to the content of this manuscript, including meeting the 4 criteria of the Internal Committee of Medical Journal Editors. All authors had full access to all of the data in the study and take full responsibility for the integrity of the work and accuracy of the data analysis, from inception to published article.
Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr Feehan has consulted with Pfizer previously.
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Pfizer Independent Grants for Learning and Change; Bristol-Myers-Squibb Independent Medical Education; and The Joint Commission.
References
- 1. Heit JA. Epidemiology of venous thromboembolism. Nat Rev Cardiol. 2015;12(8):464–474. doi:10.1038/nrcardio.2015.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Feehan M, Munger MA, Johnson SA, Walsh M, Fleming R, Witt DM. Emotional impact of venous thromboembolism: a qualitative study of patients’ journeys. 2017. http://insidepatientcare.com/issues/2017/march-2017-vol-5-no-3/456-emotional-impact-of-venous-thromboembolism-a-qualitative-study-of-patients-journeys?utm_source=bronto&utm_medium=email&utm_term=Emotional+Impact+of+Venous+Thromboembolism:+A+Qualitative+Study+of+Patients%E2%80%99+Journeys&utm_content=Monthly+News:+Carry+Aspirin,+Help+Save+a+Life&utm_campaign=2017-03-31+-+IPC+Monthly. Accessed July 8, 2019.
- 3. Enga KF, Brækkan SK, Hansen-Krone IJ, Hansen JB. Emotional states and future risk of venous thromboembolism: the Tromsø Study. Thromb Haemost. 2012;107(3):485–493. doi:10.1160/TH11-09-0667. [DOI] [PubMed] [Google Scholar]
- 4. Lukas PS, Krummenacher R, Biasiutti FD, Begré S, Znoj H, von Känel R. Association of fatigue and psychological distress with quality of life in patients with a previous venous thromboembolic event. Thromb Haemost. 2009;102(6):1219–1226. doi:10.1160/TH09-05-0316. [DOI] [PubMed] [Google Scholar]
- 5. Quigley BM, Sova CC, Brenner DM. et al. (Can’t Get No) patient satisfaction: the predictive power of demographic, GI, and psychological factors in IBS patients. J Clin Gastroenterol. 2018;52(7):614–621. doi:10.1097/MCG.0000000000000906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Greenley JR, Young TB, Schoenherr RA. Psychological distress and patient satisfaction. Med Care. 1982;20(4):373–385. [DOI] [PubMed] [Google Scholar]
- 7. Harris I, Dao ATT, Young J, Solomon M, Jalaludin BB, Rae H. Factors predicting patient satisfaction following major trauma. Injury. 2007;38(9):1102–1108. doi:10.1016/j.injury.2007.05.004. [DOI] [PubMed] [Google Scholar]
- 8. Iannuzzi JC, Kahn SA, Zhang L, Gestring ML, Noyes K, Monson JRT. Getting satisfaction: drivers of surgical hospital consumer assessment of health care providers and systems survey scores. J Surg Res. 2015;197(1):155–161. doi:10.1016/j.jss.2015.03.045. [DOI] [PubMed] [Google Scholar]
- 9. Morgan MW, Salzman JG, LeFevere RC, Thomas AJ, Isenberger KM. Demographic, operational, and healthcare utilization factors associated with emergency department patient satisfaction. West J Emerg Med. 2015;16(4):516–526. doi:10.5811/westjem.2015.4.25074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Zapka JG, Palmer RH, Hargraves JL, Nerenz D, Frazier HS, Warner CK. Relationships of patient satisfaction with experience of system performance and health status. J Ambul Care Manage. 1995;18(1):73–83. [DOI] [PubMed] [Google Scholar]
- 11. Zolnierek KBH, Dimatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care. 2009;47(8):826–834. doi:10.1097/MLR.0b013e31819a5acc. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Jackson JL, Kroenke K. Patient satisfaction and quality of care. Mil Med. 1997;162(4):273–277. [PubMed] [Google Scholar]
- 13. Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67(6):361–370. [DOI] [PubMed] [Google Scholar]
- 14. Wallston KA, Stein MJ, Smith CA. Form C of the MHLC scales: a condition-specific measure of locus of control. J Pers Assess. 1994;63(3):534–553. [DOI] [PubMed] [Google Scholar]
- 15. Wallston KA. The validity of the multidimensional health locus of control scales. J Health Psychol. 2005;10(5):623–631. [DOI] [PubMed] [Google Scholar]
- 16. Castarlenas E, Solé E, Racine M, Sánchez-Rodríguez E, Jensen MP, Miró J. Locus of control and pain: validity of the form C of the multidimensional health locus of control scales when used with adolescents. J Health Psychol. 2018;23(14):1853–1862. doi:10.1177/1359105316669860. [DOI] [PubMed] [Google Scholar]
- 17. Americans’ satisfaction with their healthcare. https://news.gallup.com/poll/245195/americans-rate-healthcare-quite-positively.aspx. Published December 7, 2018. Accessed March 13, 2019.
- 18. Prakash B. Patient satisfaction. J Cutan Aesthet Surg. 2010;3(3):151–155. doi:10.4103/0974-2077.74491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Levels of harm in primary care. http://www.health.org.uk/publication/levels-harm-primary-care. Published November 2011. Accessed March 13, 2019.
- 20. Fischer SH, Tjia J, Field TS. Impact of health information technology interventions to improve medication laboratory monitoring for ambulatory patients: a systematic review. J Am Med Inform Assoc. 2010;17(6):631–636. doi:10.1136/jamia.2009.000794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Sinsky C, Colligan L, Li L. et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165(11):753–760. doi:10.7326/M16-0961. [DOI] [PubMed] [Google Scholar]
- 22. Half of American Adults are Health Care Illiterate. http://www.nydailynews.com/life-style/health/american-adults-healthcare-illiterate-article-1.3666038. Published November 29, 2017. Accessed March 13, 2019.
- 23. Thom DH, Kravitz RL, Bell RA, Krupat E, Azari R. Patient trust in the physician: relationship to patient requests. Fam Pract. 2002;19(5):476–483. [DOI] [PubMed] [Google Scholar]
- 24. Petronio S. Disclosing medical mistakes: a communication management plan for physicians. Perm J. 2013;17(2):73–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
