Personality characteristics of health care satisfaction survey non-respondents

Association of Hospital Characteristics and Previous Hospitalization-Related Experiences with Patients’ Perceptions of Hospital Care in China

Patients’ perceptions of healthcare vary over time and by setting, and previous studies have rarely focused on these factors. We aimed to measure patients’ perceptions of hospital care in China and to examine how patients’ perceptions of hospital care vary by hospital characteristics (differences in setting) and previous hospitalization-related experiences (changes with time). We conducted a national cross-sectional survey of 7267 inpatients between July 2014 and April 2015 in China. Hospital characteristics measured were hospital technical level, hospital type, teaching status, and the ratio of doctors/nurses to ward beds. Previous hospitalization-related experiences measured were current admission length, number of previous admissions, and hospital selection (hospital advertisements or personal recommendations). Patients’ perceptions of hospital care included perceptions of doctors, nurses, and hospital organization. Scores were highest for perceptions of nurses, followed by perceptions of doctors, and hospital organization. Of the five hospital characteristics rated, the technical level was most strongly associated with patient perceptions of healthcare. The effect of hospital admission length and frequency of hospitalization on patients’ perceptions was represented by a √-shaped dose–response curve (scores were initially high, then decreased, then rebounded to higher than the initial scores). Patients who selected a hospital with hospital advertisements gave lower scores than those without hospital advertisements, and patients who selected a hospital with personal recommendations gave higher scores than those without If the observed √-shaped dose–response curves indicate a causal relationship between patients’ perceptions and hospital admission length or frequency of hospitalization, this may help to guide the timing of patient satisfaction assessments. The negative association between patient perception and advertising, and the positive association with personal recommendations (word-of-mouth) and hospital technical level, could provide important information for clinicians and hospital administrators.

A descriptive systematic review of the relationship between personality traits and quality of life of women with non-metastatic breast cancer

BACKGROUND

Quality of life (QoL) is an important patient-reported outcome that has been studied extensively as an endpoint. There is a growing interest in factors that may influence QoL, such as personality. This descriptive systematic review examined the relationship between personality and QoL in women with non-metastatic breast cancer.  METHODS: On November 24th, 2020, with a update on March 7th, 2022, PubMed, PsycINFO, CINAHL, Web of Science and Embase were systematically searched for studies that assessed the direct relationship between personality traits and QoL among adult women diagnosed with non-metastatic breast cancer. The National Institutes of Health Study Quality Assessment Tool was used to assess the quality and risk of bias of the included studies. Three reviewers independently extracted data regarding objectives, population, setting, design, method, outcome measurements and key results. The results are descriptively reported.

RESULTS

Twelve studies (6 cohort studies and 6 cross-sectional studies) were included. Three studies were rated as poor, one study was rated as good, and the remaining studies were rated as moderate. There was a small to moderate effect of personality on QoL as correlation coefficients ranged from 0.10 to 0.77, and the explained variance ranged from 4 to 43%. The (strength of the) relationship depended on the personality trait and QoL domain that was measured and was most apparent for the personality traits 'optimism' and 'trait anxiety' on psychosocial QoL domains. The results for the personality traits (unmitigated) agency, agreeableness, conscientiousness, novelty seeking, and self-efficacy indicated a smaller but statistically significant correlation between these personality traits and QoL.

CONCLUSIONS

The results confirm that personality affects QoL in women with non-metastatic breast cancer and thus provides evidence that personality traits are indeed important influential factors of QoL. It is therefore strongly recommended for all future QoL research to measure personality traits and use these variables as predictive factors, as they are needed to accurately interpret QoL. Information regarding personality traits provide physicians and patients with an interpretation of low or deterioration of QoL, which could guide physicians to improve their patients' health outcomes and subsequently QoL using psycho-oncological support or treatment.

Evaluation of a digital health resource providing physiotherapy information for postnatal women in a tertiary public hospital in Australia

BACKGROUND

Pregnancy and childbirth have a profound and lasting effect on the female body. Reduced length of postnatal hospital stay has impacted the ability of physiotherapy staff to provide early intervention and education on postnatal recovery and rehabilitation. A novel method of providing physiotherapy education to postnatal women was implemented in an attempt to meet consumer needs in the changing hospital environment. A digital health resource was developed and evaluated to determine consumer satisfaction and access.

METHODS

Postnatal women admitted to the postnatal ward were invited to participate in a survey of the digital health resource during a 17-day recruitment period. A participant information sheet was provided to the patient and a signed consent form collected from those willing to participate. Online surveys were emailed to women at approximately 2 weeks postnatal and a thematic analysis of the responses was completed.

RESULTS

A total of 88 women were recruited to the study during a 17-day recruitment period with a 30% response rate (n=27) to an online survey sent at approximately 2 weeks postpartum. Of the 27 respondents, 33% had watched the digital health resource and were able to provide feedback on resource content, format and length, as well as enablers and barriers to access and viewing habits. Survey responses indicated the resource was viewed only after discharge from hospital and most commonly on a mobile device. Most women engaged with the resource to learn more about their own recovery, and all women found the advice on pelvic floor exercise useful. Lack of time was the most commonly reported barrier to viewing the digital health resource.

CONCLUSIONS

This quality assurance project demonstrated the existing digital health resource provides useful information to women following discharge from the postnatal ward but strategies to improve awareness of the resource should be investigated further.

Association of Clinician Denial of Patient Requests With Patient Satisfaction

IMPORTANCE

Prior studies suggesting clinician fulfillment or denial of requests affects patient satisfaction included limited adjustment for patient confounders. The studies also did not examine distinct request types, yet patient expectations and clinician fulfillment or denial might vary among request types.

OBJECTIVE

To examine how patient satisfaction with the clinician is associated with clinician denial of distinct types of patient requests, adjusting for patient characteristics.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional observational study of 1319 outpatient visits to family physicians (n = 56) by 1141 adults at one Northern California academic health center.

MAIN OUTCOMES AND MEASURES

We used 6 Consumer Assessment of Healthcare Providers and Systems Clinician and Group Adult Visit Survey items to measure patient satisfaction with the visit physician. Standardized items were averaged to form the satisfaction score (Cronbach α = 0.80), which was then percentile-transformed. Seven separate linear mixed-effects models examined the adjusted mean differences in patient satisfaction percentile associated with denial of each of the following requests (if present)-referral, pain medication, antibiotic, other new medication, laboratory test, radiology test, or other test-compared with fulfillment of the respective requests. The models adjusted for patient sociodemographics, weight, health status, personality, worry over health, prior visit with clinician, and the other 6 request categories and their dispositions.

RESULTS

The mean (SD) age of the 1141 patients was 45.6 (16.1) years, and 902 (68.4%) were female. Among 1319 visits, 897 (68.0%) included at least 1 request; 1441 (85.2%) were fulfilled. Requests by category were referral, 294 (21.1%); pain medication, 271 (20.5%); antibiotic, 107 (8.1%); other new medication, 271 (20.5%); laboratory test, 448 (34.0%); radiology test, 153 (11.6%); and other tests, 147 (11.1%). Compared with fulfillment of the respective request type, clinician denials of requests for referral, pain medication, other new medication, and laboratory test were associated with worse satisfaction (adjusted mean percentile differences, -19.75 [95% CI, -30.75 to -8.74], -10.72 [95% CI, -19.66 to -1.78], -20.36 [95% CI, -29.54 to -11.18], and -9.19 [95% CI, -17.50 to -0.87]), respectively.

CONCLUSIONS AND RELEVANCE

Clinician denial of some types of requests was associated with worse patient satisfaction with the clinician, but not for others, when compared with fulfillment of the requests. In an era of patient satisfaction-driven compensation, the findings suggest the need to train clinicians to deal effectively with requests, potentially enhancing patient and clinician experiences.

Patient satisfaction after acute admission for psychosis

Background Measuring patient satisfaction in mental health care potentially provides valuable information, but studies in acutely admitted psychosis patients are scarce. Aims The aims were to assess satisfaction among patients acutely admitted with psychosis, to compare satisfaction in voluntarily versus involuntarily admitted patients, and to assess the influence of symptom load and insight. Methods The UKU Consumer Satisfaction Rating Scale (UKU-ConSat) was used. A total of 104 patients completed the UKU-ConSat at discharge/follow-up (between 6-11 weeks after admittance if not discharged earlier) (mean duration of stay 4 weeks), thus corresponding to the end of the acute treatment phase. Results A total of 88.4% had total scores above zero (satisfied). Only three of the eight single items were statistically significantly different among patients admitted voluntarily versus involuntarily, and only the information item score remained significantly different in adjusted analyses. Insight level at admittance, and an increasing level of insight during the acute phase were positively associated with patient satisfaction, whereas levels and changes in positive and negative psychosis symptoms were indirectly related to satisfaction via this process of insight. Conclusions The vast majority of the acutely admitted patients were satisfied with treatment. There were few differences between the involuntarily and voluntarily admitted patient groups, except that the involuntary care group was clearly less satisfied with the information provided. Poor insight had a major negative impact on treatment satisfaction in psychosis. The provision of sufficient and adequate information is an important target for mental health care service improvement.

Do pessimists report worse outcomes after total hip arthroplasty?

Background

Seligman’s theory of causal attribution predicts that patients with a pessimistic explanatory style will have less favorable health outcomes. We investigated this hypothesis using self-reported hip pain and hip function 2- years after total hip arthroplasty (THA).

Methods

Most THA patients had completed the Minnesota Multiphasic Personality Inventory (MMPI) during their usual clinical care long before THA (median, 14.7 to 16.6 years). Scores from the MMPI Optimism-Pessimism (PSM) scale were used to categorize patients as pessimistic (t-score >60) or non-pessimistic (t score ≤60). Outcomes were self-reported: (a) moderate-severe pain, (b) absence of “much better” improvement compared to preoperative hip function, and (c) moderate-severe activity limitation. Multivariable logistic regression was adjusted for gender, age and other covariates. Odds ratios (OR) with 95 % confidence intervals (CI) are presented.

Results

We identified 507 patients with 565 primary THAs with an MMPI prior to primary THA, of whom 441 patients with 488 primary THAs had responded to hip pain and function follow-up surveys at 2-years post-surgery. Similarly, 202 patients with 235 revision THAs had an MMPI prior to surgery, of whom 172 patients with 196 revision THAs completed 2-year surveys. Among those with primary THA, pessimists reported (a) a non-significant trend toward more moderate-severe pain at 2-years with OR (95 % CI; p-value), 2.16 (0.90, 5.20; p = 0.08; reference, none-mild pain),; (b) no significant difference for absence of “much better” improvement in hip function at 2-years, 1.87 (0.77, 4.52; p = 0.16; reference, much better hip function); and (c) significantly higher rate of moderate-severe activity limitation at 2-years, 2.90 (1.25, 6.70; p = 0.01). Among revision THA cohort, pessimists reported no significant differences from non-pessimists in moderate-severe pain, improvement in hip function or moderate-severe functional limitation at 2-years.

Conclusions

A pessimistic explanatory style was associated with moderate-severe activity limitation and a non-significant trend towards moderate-severe pain post-THA.

Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias

OBJECTIVE

To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.

STUDY DESIGN

A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post-data collection techniques that researchers should consider.

PRINCIPAL FINDINGS

Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five-question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.

CONCLUSIONS

It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.

Heightened attention to medical privacy: challenges for unbiased sample recruitment and a possible solution

Subject recruitment for epidemiologic studies is associated with major challenges due to privacy laws now common in many countries. Privacy policies regarding recruitment methods vary tremendously across institutions, partly because of a paucity of information about what methods are acceptable to potential subjects. The authors report the utility of an opt-out method without prior physician notification for recruiting community-dwelling US women aged 65 years or older with incident breast cancer in 2003. Participants (n = 3,083) and possibly eligible nonparticipants (n = 2,664) were compared using characteristics derived from billing claims. Participation for persons with traceable contact information was 70% initially (2005-2006) and remained over 90% for 3 follow-up surveys (2006-2008). Older subjects and those living in New York State were less likely to participate, but participation did not differ on the basis of socioeconomic status, race/ethnicity, underlying health, or type of cancer treatment. Few privacy concerns were raised by potential subjects, and no complaints were lodged. Using opt-out methods without prior physician notification, a population-based cohort of older breast cancer subjects was successfully recruited. This strategy may be applicable to population-based studies of other diseases and is relevant to privacy boards making decisions about recruitment strategies acceptable to the public.

Pessimistic explanatory style

Seligman’s theory of causal attribution predicts that patients with a pessimistic explanatory style will have less favourable health outcomes. We identified 702 patients who had undergone 894 primary total knee replacements between 1993 and 2005, who responded to follow-up surveys at two (n = 783 knee replacements) and/or five years (n = 443 knee replacements) and had also completed the Minnesota Multiphasic Personality Inventory long before the joint replacement (median = 16.6 and 14.5 years for two- and five-year cohorts, respectively). Scores from the Minnesota Multiphasic Personality Inventory Optimism-Pessimism scale were used to categorise patients as pessimistic (t-score > 60) or non-pessimistic (t-score ≤ 60). Multivariate logistic regression models assessing the effect of pessimistic explanatory style on pain or improvement in knee function were adjusted for gender, age, distance from the place of treatment and depression score. Pessimists reported (a) significantly more moderate or severe pain at two years with odds ratio 2.21 (95% confidence interval (CI) 1.12 to 4.35; p = 0.02), but not at five years when the odds ratio was 1.21 (95% CI 0.51 to 2.83; p = 0.67); and (b) less improvement in knee function at two years when the odds ratio was 0.53 (95% CI 0.30 to 0.96; p = 0.04), but not at five years when the odds ratio was 1.26 (95% CI 0.57 to 2.77; p = 0.57).

No significant associations with moderate or severe limitation of activity were seen at two or five years. We conclude that a pessimistic explanatory style is associated with worse pain and functional outcomes two years after total knee replacement.

A pessimistic explanatory style is prognostic for poor lung cancer survival

BACKGROUND

Several studies have demonstrated the importance of personality constructs on health behaviors and health status. Having a pessimistic outlook has been related to negative health behaviors and higher mortality. However, the construct has not been well explored in cancer populations.

METHODS

Survival time of 534 adults who were diagnosed with lung cancer was examined. The patients had completed the Minnesota Multiphasic Personality Inventory approximately 18.2 years before receiving their lung cancer diagnosis. Minnesota Multiphasic Personality Inventory Optimism-Pessimism scores were divided into high (60 or more) and low scores (<60), and log-rank tests and Kaplan-Meier curves were used to determine survival differences. Multivariate Cox models were used for assessing prognostic values of pessimism along with other known predictors for lung cancer survival outcome. Bootstrapping of the survival models was used as a sensitivity analysis.

RESULTS

At the time of lung cancer diagnosis, patients were at an average age of 67 years old; 48% of them were women, 85% had non-small cell lung cancer, 15% had small cell lung cancer, 30% were stage I, 4% were stage II, 31% were stage III/limited, and 35% were stage IV/extensive. Patients who exhibited a nonpessimistic explanatory style survived approximately 6 months longer than patients classified as having a pessimistic explanatory style.

CONCLUSION

Among lung cancer patients, those having a pessimistic explanatory style experienced a less favorable survival outcome, which may be related to cancer treatment decisions. Further research in this area is warranted.