Literature DB >> 22915869

Patient satisfaction with perioperative care among patients having orthopedic surgery in a university hospital.

Hatem A Jlala1, Monique A Caljouw, Nigel M Bedforth, Jonathan G Hardman.   

Abstract

This survey aimed to validate the English version of the multidimensional Leiden Perioperative Patient Satisfaction questionnaire (LPPSq) and use it to assess patient satisfaction with perioperative care and the influence of type of anesthesia. One hundred patients having orthopedic surgery under regional and general anesthesia verbally consented to participate. Different aspects of satisfaction were assessed (eg, provision of information, and staff-patient relationship). The reliability estimate of the LPPSq (Cronbach's-α) was good (0.94). Overall, patient satisfaction score was 86.7%, lowest was for information (80.8%) and highest for staff-patient relationships (90.3%). Patients were more satisfied with the provision of information regarding regional anesthesia.

Entities:  

Keywords:  Leiden Perioperative Patient Satisfaction questionnaire; anesthesia; information; orthopedic

Year:  2010        PMID: 22915869      PMCID: PMC3417948          DOI: 10.2147/lra.s11381

Source DB:  PubMed          Journal:  Local Reg Anesth        ISSN: 1178-7112


Introduction

Patient satisfaction and experience of the quality of care is a difficult outcome to measure, mainly because it is a subjective multidimensional concept, based on patient expectations.1 The literature abounds with studies that looked at assessing different aspects of patient satisfaction using different rating scales.2,3 Those assessment tools (questionnaires) were mainly unidimensional (eg, visual analog scale); and high levels of satisfactions were usually expressed by patients.2,4 Development and use of a self-reported multidimensional questionnaire, combining several dimensions have been shown to improve the sensitivity of patient satisfaction assessment tools.2 Compared to unidimensional questionnaires, these tools, if properly constructed, produce better quality of data, characterized by more variability and greater validity and reliability in measuring the level of patient satisfaction.5 The aim of the present survey was to validate the English version of the multidimensional Leiden Perioperative Patient Satisfaction questionnaire (LPPSq)5 among orthopedic surgery patients, assess the level of patient satisfaction with perioperative care, and the influence of type of anesthesia on patient satisfaction.

Methods

The questionnaire was reviewed by our local research ethics committee and informed consent was deemed unnecessary, although all the approached patients were informed about the aims and nature of the survey. Patients were also informed that their participation was voluntary and that they could withdraw at any time.

Design

The English adaptation of the LPPSq was generated by one bilingual researcher translating the Dutch version of the questionnaire into English language. This was then compared to the published translated version from the original author; and a consensus reached between the two translated versions. The LPPSq was used to assess and measure different aspects of patient satisfaction with perioperative care such as information provision, discomfort and needs, fear and concern, staff-patient relationship, staff professional competence, and service quality. The English translated questionnaire was extended by adding questions relating to common side-effects of anesthesia (eg, headache, nausea), and the level of information provided about anesthesia. In total, the questionnaire comprised 39 questions, the final draft of which is shown in Appendix A.

Dimensions of the LPPSq

Information provision

Specific questions about the explanation and amount of information provided to patients regarding anesthesia, surgery, and their stay in the operating theatre. This dimension was extended from the original questionnaire by adding questions about anesthesia.

Discomfort and needs

Investigating whether adverse outcomes of the anesthesia (eg, postoperative pain, vomiting) influenced patient satisfaction. This dimension was extended from the original questionnaire by adding common side-effects of anesthesia (headache, nausea).

Fear and concern

Regarding the degree of fear and concern among patients in respect to some situations, such as seeing the operating room, or pain level due to administering anesthetics.

Staff-patient relationship

The relationship between patients and the hospital staff, amount of caring shown toward patients, and the magnitude of patient expectations of the attitude and behavior of the staff toward them (eg, respecting patient privacy, polite attitude). We wanted to assess if the high satisfaction level is determined by improving the relationship between patients and staff.

Professional competence

The competency and professionalism of the operating theatre staff as perceived by patients, whether staff were attentive to patient needs, and act according to their needs.

Service

Three questions asked about patient’s perception of the waiting time before and after surgery, and if patients were operated on the agreed date and time.

Sample

One hundred patients were included in the survey, English speaking, more than 18 years old, and scheduled for orthopedic surgery under regional anesthesia (RA) or general anesthesia (GA), between February and April 2009. All patients were residents of the orthopedic department in Queens’ Medical Centre, Nottingham (UK), and able to give competent verbal consent to participate in the survey. The type of surgery was either upper limb surgery (eg, hand surgery) or lower limb surgery (eg, arthroscopy). Exclusion criteria were refusal, inability to complete the questionnaire, difficulties in reading or writing English, mixed RA and GA, or conversion of RA to GA. Demographic data, including patient age, gender, premedication, type of surgery and anesthesia, and history of previous surgery were gathered from the patients and are summarized in Table 1.
Table 1

Baseline characteristics

Age (median years (range))70 (18–80)
Gender (F : M)57: 43
Premedication (Yes : No : Not sure)31 : 36 : 33
Type of anesthesia (GA : RA)50 : 50
History of surgery (Yes : No)92 : 7
Type of surgery (Upper limb : Lower limb)24 : 72
Number of previous operations (1 : 2–3 : >3)29 : 35 : 29

Administering the questionnaire

Patients who fitted in the inclusion criteria were selected and approached on the morning of surgery or a day before for in- patients. The selection process did not involve randomization. The end-point of the survey was collecting 100 questionnaires of equal number of RA and GA. The purpose of this survey was to assess patient satisfaction with perioperative care (ie, relating to information provision, fears, unwanted adverse effects, staff-patient interaction) using a satisfaction questionnaire. Following explanation of the aims and content of the survey to the participants, verbal consent was obtained from those willing to participate. Questionnaires were then provided and the participants were instructed to read the questionnaire carefully, answer it after the completion of their surgery, and return their completed questionnaire to a survey returns box provided in the department within 3 days of surgery. We piloted the questionnaire with 50 patients and there were no reported problems related to the reading, understanding, or layout. The response rate for all questions was >90%, and analysis of this pilot data showed good validity and reliability of the responses. Hence, we decided to use the questionnaire for the survey without further modification.

Statistics

Statistical analysis (validity, reliability, and factor analysis) was used to validate the questionnaire. Spearman rank correlation was used to account for the correlation between items scores and their dimension score (inter-item correlation), and between item scores of a given dimension with the other dimensions scores (item discriminant validity). Chi-squared test was employed to compare the differences in the frequency of side-effects, age, gender, and RA vs GA. A P value of ≤0.05 (95% confidence interval) was set as significant for statistical analysis. The Mann–Whitney test was used to analyze the influencing characteristics on satisfaction domains and descriptive statistics were used to present patient’s mean satisfaction scores (range: 0 = worst satisfaction; 100 = perfect satisfaction). Statistical analysis was performed using the statistics package SPSS (v. 16.0; SPSS Inc, Chicago, USA).

Results

Baseline characteristics

157 patients were approached and 100 patients (74%) returned a completed questionnaire. Of those, 50 had GA, and 50 had RA. All respondents had orthopedic surgery, either upper limb (25%) or lower limb (75%). The median age of respondents was 70 years, and the gender proportion was quite even (57% female, 43% male). Further baseline details are shown in Table 1.

Reliability and validity

The reliability estimates (Cronbach’s-α) for the scale dimensions and the total English LPPSq (range; 0.65–0.98) were 0.94. The correlation between item scores and their dimension (inter-item correlation) was considerable, ranging from 0.56 to 0.89. The reliability of the dimension discomfort and needs was low (Cronbach’s-α = 0.21). The internal consistency for the items of all dimensions (item discriminant validity) was either low or not computable (range; 0.01–0.37), indicating a weak correlation between the scores of items of each dimension with other dimensions (Table 2).
Table 2

Reliability estimates for the scale dimensions and the total LPPSq

DimensionNumber of items within dimensionCronbach’s-α coefficientMean dimension score (SD)Maximum possible dimension scoreSatisfaction (%)Inter-item correlation (IIC)Item-discriminant validity (IDV)
Information60.9524.3 (5.83)3080.80.77–0.88a0.06–0.37
Fear and Concern40.6516.8 (3.15)2084.20.56–0.74a0.01–0.26
Staff-patient relationship140.9863.2 (10.7)7090.30.70–0.89a0.01–0.36
LPPSq (English)240.94104.1 (15)12086.7bb

Notes:

P<0.01;

not computable.

Patient satisfaction

The overall mean patient satisfaction score was 86.7%; the lowest was for information (80.8%) and highest for staff-patient relationship (90.3%). Age, gender, type of surgery or anesthesia did not influence overall patient satisfaction scores. Mean satisfaction scores for RA were similar to that for GA (85.8% vs 88.4%, respectively). However, patients were more satisfied with the amount and explanation of information regarding RA compared to GA (91% vs 77%, P = 0.02). Men and women were similarly satisfied with the quality of care (mean satisfaction score of 87% vs 87.2%). Men generally reported more side-effects and complaints than women, although this has only reached significance with hunger after the operation (male = 56%, female = 25%, P = 0.001). Among undesirable anesthesia complaints, headache was experienced by 46% vs 12% (P < 0.01) of patients who had RA compared with GA. Postoperative pain and thirst were frequently mentioned, in both GA and RA groups, with a median score of 3 (severity scoring range; from 1 to 5); other postoperative sideeffects (eg, back pain, headache, nausea, cold, and hunger) were less frequently reported with a median score of 1 (Table 3).
Table 3

Prevalence of undesirable anesthesia outcomes, prevalence and difference in the frequency of these outcomes between both types of anesthesia

Discomfort and needsNPrevalence A (little bit/to extremely)Prevalence B Quite a bit/to extremelySeverity Median (range)Type of anesthesia

GARApa
Post-op pain9882.734.73.0 (1–5)81.284.00.72
Sore throat9650.015.71.5 (1–5)68.81.0<0.01*
Back pain9627.19.41.0 (1–5)34.920.00.08
Headache10029.08.01.0 (1–5)46.012.0<0.01*
Nausea9738.320.21.0 (1–5)39.137.50.87
Cold9627.112.51.0 (1–5)26.128.00.83
Hunger9837.815.31.0 (1–5)37.538.00.96
Thirst9674.534.03.0 (1–5)72.776.00.72

Notes: Severity was graded as: 1 = not at all; 2 = a little bit; 3 = moderately; 4 = quite a bit; 5 = extremely.

Chi-square significance at P ≤ 0.05. N = number of respondents.

Patients were highly satisfied with the way staff dealt with their enquiries and complaints (88.5%), and they reported a high staff professional competence (76%). Patients having RA were satisfied more than those having GA regarding waiting time from leaving recovery room to arrive at the ward (96% vs 80%, P = 0.01). Fear and concern about pain due to surgery was reported by 68 patients compared to only 39 fearing pain due to anesthesia (P = 0.03) (Figure 1). Only the fear and concern dimension was influenced by age, type of anesthesia, history of surgery, and amount of discomfort complaints (Table 4). Information and staff-patient relationship domains were significantly correlated (r = 0.6; P = 0.03).
Figure 1

Fear and concerns about different aspects of perioperative care.

Note: *P < 0.05.

Abbreviation: OT, operating theatre.

Table 4

Influencing characteristics on satisfaction domains

InformationFear and concernStaff-patient relationshipEnglish LPPSq
Agea0+ 00
Gender0000
Type of anesthesia0+ 00
History of surgery0+ 00
Amount of discomfort complaintsb0+ 00

Notes: Correlation with Mann-Whitney test: 0 = no difference; P < 0.05;

Age: ≤ 50 or > 50 years;

Amount of complaints ≤ 4 or > 4.

Discussion

In this survey, we have used the English adaptation of the LPPSq to investigate orthopedic patients’ perception of different aspects of perioperative care, in particular, the amount and quality of information, fears and concerns, staff- patient relationship, and some common undesirable adverse effects of anesthetics. The reliability estimates for the LPPSq English version were very good. However, the reliability of the dimension discomfort and needs (undesirable effects of anesthesia) was low; showing poor homogeneity of this dimension with other dimensions. There was also a weak correlation between overall mean patient satisfaction score and the items in this dimension; therefore we did not include this dimension in the construction of the 24-item LPPSq; which may have improved the reliability of the questionnaire. Although it is important to observe and manage concerns of anesthesia and/or surgery side-effects; they may not be reliable measures to assess patient satisfaction. Recognizing the importance of involving patients in the construction of the questionnaire,6 we piloted this questionnaire with 50 patients to evaluate the applicability and understanding of the different dimensions in the questionnaire. Although we added some items to the original questionnaire;5 this did not affect the ability of the questionnaire to adequately measure patient satisfaction. In fact, adding some items related to the anesthetics has improved correlation between item scores and their dimension (compared to the original LPPSq). As expected, overall patient satisfaction scores were high for information and staff–patient relationship.7 Amount and quality of information and staff-patient relationship were found to significantly correlate with patient satisfaction. These findings were similar to the original LPPSq.5 Both aspects are of more importance than the absence of undesirable outcomes of anesthesia (eg, postoperative pain, nausea, thirst). This shows the importance of provision of information and patient interaction with staff to determine patient satisfaction with care.8 Type of anesthesia did not affect patient overall satisfaction scores (ie, patients were similarly satisfied with the care, regardless which anesthetic procedure they had). However, it seems that anesthesiologists tend to disclose “adequate” amounts and quality of information (as perceived by patients) about RA techniques; which resulted in a higher satisfaction. 6 This may indicate a more standardized explanation of RA techniques. Nearly 35% of patients had experienced severe pain after surgery, of whom 18% had extreme pain. While not identical because of different specialties, this finding was comparable with previously found observed severe postoperative pain (29%).5 Higher satisfaction scores were reported previously by older patients.5,9 We were not able to demonstrate this correlation, possibly due to the imbalance in the demographic distribution, as only 20% of patients were aged less than 50 years. The majority of the surveyed patients had their operations on the agreed date, and most of them were satisfied with the time spent waiting to be taken to the theatre. Type of anesthesia did not seem to influence their satisfaction in this respect. However, after the operation, patients having surgery under RA spent less time in the recovery room than patients having GA, and this was reflected in the higher satisfaction scores of RA patients. This finding is unsurprising, as patients who have had GA usually require a longer period of observation and support before discharge back to the orthopedic ward. Patient satisfaction is a subjective and complex concept involving physical, emotional, mental, social, and cultural factors.9 It is determined by the quality of the provided care and the expectations of that care.5 It is assumed that patient experiences or expectations contributed more to higher satisfaction scores than technical aspects of the operation or type of anesthesia. The small differences in satisfaction scores between RA and GA could probably be explained by the underlying concepts of patient satisfaction. We acknowledge that the English translation of the LPPSq did not utilize the ideal translation process compared to the “translation-back translation” method, or “revision committee and pre-testing”.10 However, because of the simplicity of all questions in the original questionnaire, we think that our translation approach should satisfy the minimal requirement of these translation processes, and provide the questionnaire with adequate psychometric quality.

Conclusions

A questionnaire for assessment of patient satisfaction should consist of multiple domains including information provision and communication between patients and medical staff. We demonstrated good reliability and internal consistency of the LPPS questionnaire (English version). This suggests good construction of the set of questions used. Patient satisfaction with perioperative care in our institution was generally high and the rate of severe, undesirable anesthetic effects was generally low. There was no difference in overall satisfaction scores between patients having regional or general anesthesia; however, patients were more satisfied with the provision of information before undergoing regional anesthesia.
  10 in total

1.  Measurement of patient satisfaction as an outcome of regional anesthesia and analgesia: a systematic review.

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Journal:  Reg Anesth Pain Med       Date:  2001 May-Jun       Impact factor: 6.288

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3.  [Taking into account patients' expectations in the improvement of quality of health care: results of a survey of 500 hospitalized patients].

Authors:  L Salomon; I Gasquet; P Durieux; P Ravaud
Journal:  Rev Epidemiol Sante Publique       Date:  1998-11       Impact factor: 1.019

4.  Validation of a French-language version of the MOS 36-Item Short Form Health Survey (SF-36) in young healthy adults.

Authors:  T V Perneger; A Leplège; J F Etter; A Rougemont
Journal:  J Clin Epidemiol       Date:  1995-08       Impact factor: 6.437

5.  Development and validation of a perioperative satisfaction questionnaire.

Authors:  Pascal Auquier; Nicolas Pernoud; Nicolas Bruder; Marie-Claude Simeoni; Jean-Pierre Auffray; Christian Colavolpe; Georges François; François Gouin; Jean-Claude Manelli; Claude Martin; Christophe Sapin; Jean-Louis Blache
Journal:  Anesthesiology       Date:  2005-06       Impact factor: 7.892

6.  Patient satisfaction and effectiveness of lumbar plexus and sciatic nerve block for total knee arthroplasty.

Authors:  M J Luber; R Greengrass; T P Vail
Journal:  J Arthroplasty       Date:  2001-01       Impact factor: 4.757

7.  Matching patients and practitioners based on beliefs about care: results of a randomized controlled trial.

Authors:  Edward Krupat; John Hsu; Julie Irish; Julie A Schmittdiel; Joe Selby
Journal:  Am J Manag Care       Date:  2004-11       Impact factor: 2.229

8.  Comparison of health care professionals' self-assessments of standards of care and patients' opinions on the care they received in hospital: observational study.

Authors:  P Durieux; A Bissery; S Dubois; I Gasquet; J Coste
Journal:  Qual Saf Health Care       Date:  2004-06

9.  Patient's satisfaction with perioperative care: development, validation, and application of a questionnaire.

Authors:  M A A Caljouw; M van Beuzekom; F Boer
Journal:  Br J Anaesth       Date:  2008-03-12       Impact factor: 9.166

10.  Patient satisfaction with general anaesthesia. Too difficult to measure?

Authors:  P M Whitty; I H Shaw; D R Goodwin
Journal:  Anaesthesia       Date:  1996-04       Impact factor: 6.955

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  5 in total

1.  Undesirable Postoperative Anesthesia Outcomes at Two National Referral Hospitals: A Cross-Sectional Study in Eritrea.

Authors:  Yonatan Mehari Andemeskel; Traudl Elsholz; Ghidey Gebreyohannes; Eyasu H Tesfamariam
Journal:  Anesthesiol Res Pract       Date:  2020-09-15

2.  Patient satisfaction and its associated factors towards perioperative anesthesia service among surgical patients: A cross-sectional study.

Authors:  Diriba Teshome; Yordanos Mulat; Efrem Fenta; Metages Hunie; Simegnew Kibret; Tadese Tamire; Yewlsew Fentie
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3.  Perioperative patient satisfaction and its predictors following surgery and anesthesia services in North Shewa, Ethiopia. A multicenter prospective cross-sectional study.

Authors:  Melaku Bantie Fetene; Samuel Debas Bayable; Emebet Seyum Wendimu; Kokeb Desta Belehu; Agmuas Aschale Almaw; Peniel Kena Dula; Bezaye Zemedkun Bejiga
Journal:  Ann Med Surg (Lond)       Date:  2022-03-12

4.  Patients' satisfaction and associated factors towards preoperative informed consent process: A cross-sectional study.

Authors:  Tamiru Tilahun Ayele; Tadese Tamire Negash; Keder Essa Oumer; Aderajew Mekuanint; Diriba Teshome; Efrem Fenta; Yewlsew Fentie; Aragaw Tesfaw; Ashenafi Tolosa
Journal:  Ann Med Surg (Lond)       Date:  2022-06-30

5.  Greek surgical patients' satisfaction related to perioperative anesthetic services in an academic institute.

Authors:  Pinelopi Kouki; Paraskevi Matsota; Kalliopi Christodoulaki; Maria Kompoti; Marilia Loizou; Periandros Karamanis; Aggeliki Pandazi; Georgia Kostopanagiotou
Journal:  Patient Prefer Adherence       Date:  2012-08-13       Impact factor: 2.711

  5 in total

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