Giménez-Marín, Rivas-Ruiz, García-Raja, Venta-Obaya, Fusté-Ventosa, Caballé-Martín, Benítez-Estevez, Quinteiro-García, Bedini, León-Justel, and Torra-Puig: Assessment of patient safety culture in clinical laboratories in the Spanish National Health System

Introduction

The risks and adverse events related to health care, in varying ways, affect all countries. The problem may initially be perceived as one of human responsibility, but fundamentally it concerns the system. Accordingly, experts have proposed that research in developed countries should be aimed, among other aspects, at promoting and enhancing a safety-oriented culture. It is necessary, therefore, to determine the situation in our field of activity, namely the clinical laboratory, and to derive valid solutions (1, 2).

Schein viewed the term “culture” as an integrating concept that is expressed in the organizational climate (3). Guldenmund reviewed the literature in this respect and defined “safety culture” as the aspects of organizational culture expected to impact upon attitudes and behavior related to increasing or decreasing risks (4). In the context of a clinical laboratory, patient safety culture refers to the proactive engagement of its staff (safe systems, behavior management) and the perceived commitment of the organization to patient safety, as expressed through the perceptions, skills and attitudes of its personnel.

Clinical laboratories, which are characterized by their well-defined processes, were pioneers in promoting analytical quality and form an important link in the healthcare chain, as over 70% of medical decisions are based on diagnostic test results (5). Apart from decisions pertaining to the framework of the healthcare organization (independent services or specialties with pyramidal structures, outsourcing, mergers, etc.), it is well known that that the majority of errors, and those which are most critical to patient safety, take place in scenarios outside the laboratory itself (6-10). Such errors often compromise patient safety by negatively affecting the reliability of the analytical report (i.e., the absence of errors) and its utility (i.e., the provision of timely, relevant information). Moreover, due to inadequate training and practice, many staff fail to conduct a systematic analysis of the organizational aspects involved in clinical practice (11), despite the fact that the current healthcare environment requires all involved to focus on clinical safety, that is, to prevent the occurrence of avoidable errors (12, 13).

Organizations are becoming increasingly aware of the importance of transforming and improving their safety culture, but to do so it is first necessary to understand it and hence there is a need for an appropriate means of evaluation. Questionnaire-based surveys are commonly used to investigate health-related behavior, and constitute valuable instruments for population studies and for assessing educational interventions (14). Diverse questionnaires have been proposed to assess safety culture, depending on the specific purpose and context, including: a) the Hospital Survey on Patient Safety Culture, issued by the Agency for Healthcare Research and Quality (AHRQ) (15, 16) and which has been adapted for use in various European countries, including Spain; b) the Safety Attitudes Questionnaire (17), which has also been adapted to the different contexts in which it has been used, mainly intensive care units; c) the Medical Office Survey on Patient Safety Culture (18), which incorporates the main characteristics of a study conducted in the field of primary health care, and which has also been translated, adapted and validated for use in Spain, and which emphasizes safety and quality in health care; d) Team Strategies and Tools to Enhance Performance and Patient Safety, recently validated, which measures perceptions of work among multidisciplinary teams (19).

The aim of the present study is to evaluate the patient safety culture in clinical laboratories in public hospitals in Spain, to describe the variability among different groups of workers in these laboratories and to analyze the strengths and weaknesses of the system, in order to establish measures by which it can be improved.

Materials and methods

Study design

A descriptive cross-sectional study was performed from September to December 2012. The study was conducted among health workers employed in the clinical laboratories of 27 public hospitals in 15 Spanish regions (Autonomous Communities) and in the (Autonomous) town of Ceuta (Spain) (Table 1).

Table 1

Spanish National Health System hospitals participating in the study.

Hospital Region Surveys
(N = 740)
Hospital Universitario Puerta del Mar de Cádiz Andalusia 30
Hospital Universitario San Cecilio, Granada Andalusia 32
Hosp.Clínico Univ. Lozano Blesa, Zaragoza Aragón 28
Hospital Royo Villanova, Zaragoza Aragón 17
Hospital Universitario Central de Asturias Asturias 30
Hospital Sierrallana, Torrelavega Cantabria 17
Hospital Virgen de la Salud, Toledo Castilla la Mancha 30
Hosp. Universitario de Salamanca Castilla y León 31
Hospital del Bierzo, Ponferrada (León) Castilla y León 30
UDIAT Centre Diagnňstic. Corporació Sanitŕria Parc Tauli, Sabadell. Catalonia 31
H. Arnau de Vilanova, Lérida Catalonia 47
Hospital Vall d´Hebron, Barcelona Catalonia 19
Hospital Universitario de Ceuta Ceuta 13
Hospital de Mérida Extremadura 22
Complejo Hospitalario Universitario Santiago Compostela Galicia 35
Hospital Arquitecto Marcide - Ferrol Galicia 42
Hospital de Manacor Balearic Isles 31
Hospital Son LLatzer, Palma de Mallorca Balearic Isles 30
Complejo Hospitalario Ntra. Sra. Candelaria - Tenerife Canary Isles 30
Hosp. Universitario Principe de Asturias, Alcalá de Henares Madrid 30
Hospital Universitario La Paz, Madrid Madrid 24
Hospital Clínico Universitario de Navarra (Pamplona) Navarre 28
Hospital Reina Sofía de Tudela Navarre 30
Hospital Santiago Apostol de Vitoria Basque Country 11
Hospital Universitario Araba (Txagorritxu) Basque Country 8
Hosp. Clínico Universitario de Valencia Valencia 30
Hospital Dr. Peset Valencia 34

Used questionnaire was one that had been previously validated to assess patient safety in clinical laboratories (20). It contained the following sections: A) demographic and professional data (seven items); B) questionnaire on patient safety, encompassing six areas (B1: individual, social and cultural factors; B2: factors related to the activity; B3: factors related to equipment and resources; B4: factors related to working conditions; B5: educational and training factors, B6: factors related to communication); C) A score on a scale from 0-10 for patient safety in the work unit.

For each factor in the questionnaire, a standardization of scores to a base of 100 was calculated based on the number of items of each factor (on this scale, 0 indicates a minimal perception of patient safety and 100, the highest possible level). Any item for which values were missing or which was coded as “not known - no answer” was re-coded as the mean value for the item in question (2.5):

Area 1: Individual, social and cultural factors (Scores Base 100)

area1_p100 =[item11 + item12 + item13 + item14 + item15 + item16 + item17 + item18 + item19]/ 45*100

Area 2: Factors related to the activity (Scores Base 100)

area2_p100 =[(item21 + item22 + item23 + item24 + item25 + (5-item26) + item27 + item28 + item29 + item210 + item211 + item212 + item213 + (5-item214) + item215 + item216 + (5-item217)]/85*100

Area 3: Factors related to fixtures and resources (Scores Base 100)

area3_p100 = [item31 + (5-item32) + item33 + item34 + item35 + (5-item36) + (5-item37) + item38 + item39 + item 310]/ 50*100

Area 4: Factors related to working conditions (Scores Base 100)

area4_p100 = [item41 + item42 + item43 + item44 + item45 + item46]/ 30*100

Area 5: Factors related to education and training (Scores Base 100)

area5_p100 = [item51+ item52 + item53 + item54 + item55 + item56 + item57 + item58 + item59+ (5-item510)]/ 50*100

Area 6: Factors related to communication (Scores Base 100)

Area6_p100 = [item61 + item62 + item63 + item64 + item65 + item66 + (5-item67) + item68 + item69 + item610]/ 50*100

Subjects

The participants were recruited by the heads of service at each of the participating centers, after being informed of the purpose of the survey. All data compiled in this project were recorded anonymously, in strict accordance with the Biomedical Research law currently in force in Spain (Act 14/2007 of 3 July) (21).

A convenience sample (non-probabilistic) was selected of hospitals operating within the Spanish National Health System (SNHS), extracted from the 2011 National Catalogue of Hospitals. Within each laboratory, as well as the director or head of service, the survey was addressed to representatives of the different areas of work within the laboratory, both technical and administrative. For a theoretical population of 25,000 healthcare professionals working in public-sector hospitals in Spain, and to determine the result variability, a standard deviation of 0.2 was assumed; therefore, to obtain an accuracy of 2%, a confidence level of 95% and a design effect of 2, 758 surveys were required, and this figure was increased by 10% to offset possible losses, thus producing a final sample size of 840.

Statistical analysis

A descriptive analysis was performed of all the study variables compiled, using measures of central tendency and dispersion for the quantitative variables and of frequency distribution for the qualitative ones. In accordance with the evaluation criteria of the AHRQ (15), we assessed each of the items related to the questionnaire by grouping the positive extreme values (scores of 4 and 5, or of 0 and 1 for the inverse items), establishing a cutoff point to determine strengths (> 75%) and another for weaknesses or areas in need of improvement (< 50%), and using the same criteria for the overall assessment of the six specific areas of the survey. Stratified analyses were performed to assess the mean score, standardized to a base of 100, of the six survey areas, together with the overall patient safety score, after verifying the normal distribution of the sample (Kolmogorov-Smirnov test), using the parametric ANOVA test (for the job title variable) and the student T-test for the dichotomous variables (gender, age and professional experience). The level of statistical significance was set at 0.05. Statistical analysis was performed using SPSS 15.0.1 software (SPSS Science, Chicago, IL).

Results

Of the 40 laboratories initially invited to participate in the study, 27 (67.5%) agreed to do so; and of the 840 surveys sent out, 740 (88.1%) completed questionnaires were received, which comprised the study sample for analysis. Among the sample population, the median age was 46 years and 80.6% were female. Regarding their experience, 66.6% had been working in clinical laboratories for over ten years, and 49.9% for over ten years in the same laboratory. By job description, the largest group (51.4%) was composed of technicians and nurses (312 technicians and 27 nurses), followed by physicians (34.2% – 175 specialists and 51 residents). In relation to the workplace specialty, among the respondents, 69.2% worked in clinical or biochemical units (Table 2).

Table 2

Demographic data and occupational characteristics of the respondents.

Variable N % overall % valid surveys
Gender
Male 133 18.0 19.4
Female 552 74.6 80.6
Missing data
55
7.4

Age
≤ 45 309 41.8 48.4
>45 329 44.5 51.6
Missing data
102
13.8

Years of lab experience
≤ 10 220 29.7 33.4
>10 438 59.2 66.6
Missing data
82
11.1

Years employed in current post
≤ 10 325 43.9 50.1
>10 324 43.8 49.9
Missing data
91
12.3

Job description
Head of service or section 35 4.7 5.3
Physician 226 30.5 34.2
Technician / Nurse 339 45.8 51.4
Administrative personnel 60 8.1 9.1
Missing data
80
10.8

Speciality
Haematology 66 8.9 12.7
Microbiology 61 8.2 11.8
Clinical analysis / Biochemistry 359 48.5 69.2
Anatomical pathology 19 2.6 3.7
Immunology 14 1.9 2.7
Missing data
221
29.9

% valid surveys – percentage calculated respective to surveys without missing data

When the study areas were analyzed according to a standardized score (base 100), the highest mean scores awarded by the respondents corresponded to area 1 (individual, social and cultural factors) with a mean value of 77.1 (95%CI: 76.0-78.2) and area 6 (factors related to communication) with a mean value of 75.2 (95%CI: 74.2-76.1); in contrast, the lowest scores were for area 3 (factors related to equipment and resources), with a mean value of 58.4 (95%CI: 57.6-59.2) and area 4 (factors related to working conditions), with a mean value of 58.6 (95%CI: 57.2-60.0). Patient safety, assessed overall on a scale from 0 to 10, was given a mean score of 8 points (95%CI: 7.9-8.1). Significant gender differences were found in area 4, where men scored an average of 63.9 points versus 57.2 for the female workers (P < 0.001); in area 4, too, there were age-related differences (P = 0.005) between those aged under 45 years (61.2 points) and those who were older (57 points). For the dichotomized assessment of years of laboratory experience, differences were found (P = 0.006) in area 3, with an average of 59.7 points among those with less than ten years’ experience of working in the laboratory, compared to 57.4 points among their more experienced colleagues. Similar differences were recorded (P < 0.001) for area 4, with a mean score of 62.6 points among those workers with less than ten years’ experience, compared to 56.9 points for those who had been employed in laboratories for longer. With respect to differences according to job description, in all areas a greater perception of patient safety was reported by the heads of service or section, followed by the physicians, technicians and nurses, and finally by the administrative staff. In the overall assessment of patient safety, no differences in any of the independent variables were found (Table 3).

Table 3

Mean scores, overall and by patient safety factors.

Factor 1: Individual. social and cultural factors Factor 2: Factors related to the activity Factor 3: Factors related to equipment and resources Factor 4: Factors related to working conditions

N
Mean
CI95%
P
Mean
CI95%
P
Mean
CI95%
P
Mean
CI95%
P
Total
740
77.1
76.0-78.2

73.8
73.0-74.6

58.4
57.6-59.2

58.6
57.2-60.0

Gender
Male 133 77.1 74.5-79.7 0.912 74.6 72.7-76.4 0.375 59.3 57.4-61.2 0.144 63.9 61.0-66.8 <0.001
Female
552
76.9
75.6-78.2
73.6
72.7-74.5
57.8
57.0-58.7
57.2
55.6-58.9
Age
≤ 45 309 78.4 76.9-79.9 0.162 74.3 73.1-75.5 0.954 59.1 57.9-60.2 0.084 61.2 59.2-63.2 0.005
>45
329
76.8
74.9-78.6
74.3
73.0-75.5
57.6
56.4-58.8
57.0
54.7-59.2
Years of lab experience
≤ 10 220 78.0 76.2-79.8 0.240 74.4 73.0-75.8 0.528 59.7 58.5-61.0 0.006 62.6 60.3-64.7 <0.001
>10
438
76.6
75.1-78.1
73.9
72.8-74.9
57.4
56.4-58.4
56.9
54.9-58.7
Years in current post
≤ 10 325 77.8 76.3-79.3 0.127 74.1 73.0-75.2 0.730 58.5 57.4-59.7 0.397 60.5 58.5-62.4 0.012
>10
324
76.0
74.2-77.8
73.8
72.5-75.1
57.8
56.7-59.0
56.7
54.4-58.9
Job description
Head of service or section 35 85.1 81.5-88.6 <0.001 80.3 77.2-83.3 <0.001 63.5 60-67.0 0.018 68.3 62.9-73.8 <0.001
Physician 226 78.2 76.4-80.1 74.8 73.4-76.1 58.1 56.7-59.5 61.3 58.9-63.7
Technician / Nurse 339 75.8 74.1-77.5 72.7 71.6-73.9 57.8 56.6-59.0 56.4 54.2-59.0
Administrative personnel
60
71.2
67.3-75.2
71.2
68.2-74.3
57.0
54.7-59.2
55.4
50.4-60.3
Factor 5: Factors related to education and training Factor 6: Factors related to communication Patient safety - Overall

N
Mean
CI95%
P
Mean
CI95%
P
Mean
CI95%
P
Total
740
74.1
73.2-75.0

75.2
74.2-76.1

8.0
7.9-8.1

Gender
Male 133 74.0 71.6-76.3 0.864 74.3 72.0-76.6 0.488 7.9 7.7-8.2 0.595
Female
552
74.2
73.1-75.3
75.2
74.1-76.3
8.0
7.9-8.1
Age
≤ 45 309 75.4 74.0-76.7 0.171 75.8 74.5-77.2 0.577 8.1 7.9-8.2 0.858
>45
329
74.0
72.5-75.5
75.3
73.8-76.8
8.0
7.9-8.2
Years of lab experience
≤ 10 220 74.3 72.6-76.0 0.998 75.7 74.2-77.3 0.535 8.1 7.9-8.2 0.317
>10
438
74.3
73.1-75.5
75.1
73.8-76.3
8.0
7.8-8.1
Years in current post
≤ 10 325 74.4 73.1-75.8 0.723 75.1 73.8-76.4 0.881 8.0 7.9-8.2 0.573
>10
324
74.1
72.6-75.6
75.2
73.7-76.8
8.0
7.8-8.1
Job description
Head of service or section 35 80.4 76.4-84.4 <0.001 82.3 78.6-85.9 <0.001 8.1 7.9-8.4 0.344
Physician 226 76.5 75-78.1 75.6 74.0-77.2 7.9 7.7-8.0
Technician / Nurse 339 73.1 71.7-74.4 74.7 73.3-76.1 8.1 7.9-8.2
Administrative personnel 60 66.6 62.6-70.5 70.3 66.8-73.7 8.0 7.6-8.3

Analysis of the ratio and distribution of extreme values for each item showed that in 42 (75.8%) of the 62 items set out in the survey, a positive response rate exceeding 90% was obtained, and only in three items (4.8%) was this rate less than 80%. Item 3.10 obtained the lowest rate (71.8%). According to the respondents, in area 1 (individual, social and cultural factors), three strengths were found; in area 2 (activity-related factors), seven strengths and three weaknesses were identified; in area 3 (factors related to equipment and resources), eight of the ten items were identified as weaknesses; in area 4 (factors related to working conditions), four of the six items were considered weaknesses; in area 5 (factors related to education and training), four items were cited as strengths and three as weaknesses; and in area 6 (factors related to communication), there were five strengths and one weakness (Table 4).

Table 4

Response rate and distribution of extreme values

AREAS Response Rate % Minimal
(0-1)
% Maximal (4, 5)
Items
Area 1: Individual, social and cultural factors
1 I like my work 99.6 0.0 90.0
2 I am satisfied with the work I do 99.9 0.8 80.9
3 The staff are treated with respect 99.6 1.9 76.5
4 There is a good atmosphere in the workplace 99.7 2.6 65.4
5 My superiors provide good management and support 98.5 7.3 58.4
6 I am proud to form part of the work team 98.5 3.3 68.6
7 I am aware of the mission, the viewpoint and the goals of my Unit 98.9 4.6 73.6
8 I have my own identity within the organisation 98.6 3.8 68.1
9 My suggestions are received sympathetically
96.8
7.1
51.3
Area 2: Factors related to the activity
1 I am aware of the functions, competences and responsibilities of my job 99.6 0.0 91.2
2 My work routine complies with the procedures and rules 99.3 0.4 86.8
3 The staff in my Unit support each other 98.1 1.9 71.3
4 When there is a lot of work, all the staff work as a team to complete it 98.9 4.0 70.6
5 When the workload increases, the work is carried out appropriately 97.7 3.2 62.9
6 Analytic results are filled out manually 93.1 28.2 28.7
7 Work routines are modified in response to anomalies or mistakes 95.9 6.1 64.9
8 My laboratory has procedures and actions to ensure the correct identification of patients (requests) and samples 97.6 0.8 88.9
9 Mistakes related to obtaining samples are recorded and notified 95.8 3.0 81.4
10 Mistakes related to patient identification are recorded and notified 96.2 2.9 81.5
11 Incidents during the obtaining of samples (haemolysis, coagulated sample, incorrect volume measurement, inadequate container, etc.) are recorded and notified 96.2 1.5 87.1
12 All incidents and errors are monitored and followed up, and an appropriate response made 94.7 5.0 70.9
13 After changes are made to improve patient safety, their effectiveness is evaluated 82.8 6.0 56.6
14 The analytic processes that are performed manually in my Unit may be detrimental to patient safety 91.9 38.8 27.1
15 The different services collaborate to improve patient safety 89.1 8.6 47.6
16 My supervisor/manager ignores problems related patient safety 92.2 5.4 77.0
17 The rate of lost analytic reports is determined and assessed
79.9
58.4
15.1
Area 3: Factors related to equipment and resources
1 There are sufficient human resources to deal with the workload 97.8 10.9 40.6
2 My Unit has too many staff who are temporary or replacement 97.7 57.5 11.5
3 Replacements are made for staff on sick leave or on holiday 98.6 44.7 19.0
4 In the transport of peripheral samples, the time and temperature are controlled 82.6 13.6 47.6
5 The numbers of patients seen in the sample-taking Unit is appropriate to the human resources available 82.3 7.2 45.5
6 The proportion of analytic requests with patient data filled out by hand is determined
81.6
34.8
16.9
AREAS Response Rate % Minimal
(0-1)
% Maximal (4, 5)
Items
7 The proportion of analytic requests that are labelled, but lack a patient-identification
barcode (such that there is no automatic data scanning) is determined
81.8 40.0 15.2
8 The proportion of analytic requests that are labelled with a patient-identification barcode (enabling automatic data scanning) is determined 85.3 8.7 64.5
9 Priority is given to ensuring suitable staff are employed in each position 93.5 17.8 32.4
10 There is sufficient privacy in areas for patient attention
71.8
13.9
35.2
Area 4: Factors related to working conditions
1 There is sufficient lighting in my workspace 99.5 4.5 68.6
2 Temperature and background noise are acceptable 99.6 28.2 17.1
3 The workers have sufficient private space 98.0 21.4 30.2
4 The ergonomics of the workspace fixtures and fittings are sufficient 99.5 21.7 27.2
5 The amount of workspace available is sufficient 99.2 17.7 40.7
6 Sufficient resources are available to comply with codes of good professional practice and to reduce occupational hazards
98.0
8.3
51.3
Area 5: Factors related to education and training
1 I have received appropriate training to perform my job 98.8 4.1 69.4
2 My acquisition of job skills is evaluated satisfactorily 91.8 9.0 52.9
3 I have been trained in the appropriate use of the information produced 95.9 7.9 57.5
4 Effective activities are implemented to enhance patient safety 83.6 9.0 49.4
5 I have received training or information related to patient safety 89.3 13.3 40.7
6 I am aware that my job performance may generate errors that could prejudice patient safety 98.0 1.0 93.2
7 I am aware of the possible consequences to patients of any errors arising in the laboratory 98.8 0.8 95.1
8 I understand why records concerning patient safety are compiled and kept, in areas such as sample quality, requests, arrival times, identification mistakes, etc. 98.4 0.5 92.3
9 All laboratory errors are analysed, even if they pose no potential harm to the patient 95.0 3.1 78.8
10 The staff feel that their mistakes are used against them
93.0
39.5
17.6
Area 6: Factors related to communication
1 Laboratory staff communicate the circumstances whenever anything that might affect patient safety is observed 96.8 0.7 83.2
2 All errors and incidents occurring within the Unit are analysed and reported 96.8 1.8 78.4
3 The appropriate channels for reporting errors are clearly understood 97.7 2.9 77.9
4 When a critical error is made, it is discussed with the staff concerned 96.6 1.3 88.8
5 Incidents are reported and recorded at shift changes in the Unit 84.3 5.4 74.2
6 All results related to patient safety are appropriately reported to the staff in other healthcare services 82.7 3.4 72.7
7 When an error is reported, the person involved is held accountable 92.8 41.0 18.3
8 When an error is reported, the problem is investigated 94.9 3.8 67.0
9 The laboratory assesses and implements procedures with other Units to ensure that the patient is correctly prepared 79.1 4.4 56.1
10 Near-critical results are correctly reported and recorded in the Unit in accordance with the procedure for their communication
84.1
1.4
78.3
% Minimal (0-1) – percentage of answers 0 and 1
% Maximal (4, 5) – percentage of answers 4 and 5

Discussion

To the best of our knowledge, this is the first study to be conducted on patient safety culture in clinical laboratories belonging to public hospitals within the Spanish National Health System. The results of the demographic data and from the survey respondents show that in these laboratories, 80% of workers are female and that two thirds have over ten years’ experience in the laboratory. This latter fact may be a positive factor in terms of safety culture, reflecting these workers’ professional stability, shared background and common learning experience (3).

The questionnaire results provide an overview of how clinical laboratories are positioned with respect to safety culture. This appears to be fairly homogeneous, with significantly high scores, above 75%, in Areas 1 and 6, both of which are of crucial importance, reflecting laboratory organization and management, and in which some items denote values, feelings and leadership that are essential to a culture of patient safety (20). Also well considered are Areas 2 and 5, for which high scores are recorded for overall perceptions of patient safety, which is indicative of a good organizational culture in this respect. These positive overall results can be attributed to the very nature of this activity, based on well-defined processes, associated with long experience in quality control. On the contrary, Areas 3 and 4 are both close to the cutoff point to be rated as areas in need of improvement. These areas present greater variability, as was to be expected; they generate considerable interest and potential for criticism in the workplace, and most of the items concerned are more dependent on the hierarchy of the healthcare organization itself than on laboratory managers. In addition, problems in these areas can hinder the organizational system and propitiate underlying problems in the workplace affecting productivity and workers’ motivation (22, 23), and hence clinical safety. In all areas but one, the questionnaire responses obtained are unaffected by gender, age and length of work experience. The exception to this is Area 4 (factors related to working conditions), in which the female workers were found to be more critical than their male counterparts.

The most important finding of this analysis concerns the variable “job description” and the classification by professional type or groups, which reflects significant differences in questionnaire responses depending on the professional category of the staff concerned. Thus, for all areas of analysis, the perception of patient safety increases in line with the respondent’s professional category. Heads of service or section report the highest perceptions of patient safety (due to their involvement in the management of quality policies), well above those of the other groups, with the administrative staff located at the opposite end of the scale.

This is an important finding because pre-analytical errors represent 50-75% of all laboratory errors (6, 9, 10) and it is precisely at this stage that the personnel with the weakest perceptions of patient safety, many of them sub-contracted, are involved (6-10, 24). Therefore, it is in these processes (the processing of analytical requests, obtaining specimens, their preparation, transport, aliquoting, etc.), where fail-safe technologies must be enhanced and where training to strengthen patient safety culture must be intensified.

Further valuable information was obtained regarding individual assessments of each of the questionnaire items, which enabled us to identify areas in need of improvement. The questionnaire responses obtained also highlighted the following overall strengths of the system, which are crucial to a culture of patient safety: a) in relation to the work environment (“I like my work, I am satisfied with the work I do and the staff are treated with respect”); b) in aspects that are critical to achieving patient safety (“I am aware of the functions, competences and responsibilities of my job, my work routine complies with the procedures and rules, my laboratory has procedures and actions to ensure the correct identification of patients (requests) and samples, mistakes related to obtaining samples are recorded and notified and mistakes related to patient identification are recorded and notified”; c) aspects related to patient safety culture (“I am aware that my job performance may generate errors that could prejudice patient safety, I am aware of the possible consequences to patients of any errors arising in the laboratory, I understand why records concerning patient safety are compiled and kept, in areas such as sample quality, requests, arrival times, identification mistakes, etc., and all laboratory errors are analyzed, even if they pose no potential harm to the patient”); d) aspects related to a safety-oriented laboratory climate such as “communication”, both verbal and written.

An even more interesting question is that of identifying areas of weakness where improvements should be made. In this respect, nearly a third of the 62 questionnaire items are problematic, and some of these make an evident contribution to critical errors (7-9): “results are entered manually,” “requests are filled out by hand” and “requests presented with no barcode labels” – all of which mean that demographic data cannot be scanned in – as well as “manual analytical processes are performed, in which safety is evidently compromised” and “time and temperature in the transport of samples are not controlled”.

Four of the five worst-rated items are related to deficiencies in the physical structure of the laboratory; this is a logical outcome, due to the considerable age of some buildings and to the technological evolution of laboratories, but it nevertheless impacts on work conditions and thus on healthcare workers’ perceptions of organizational adequacy, job satisfaction and the workplace environment: thus criticisms are directed at “inadequate areas of privacy”, “noise and room temperature”, “ergonomics of laboratory fittings” and “space” (23, 25).

Organizational climate is known to make a strong impact on workers’ motivation and on the results achieved (23, 25-28). In this sense, the “inadequacy of human resources for the activity to be performed”, the “excessive employment of temporary staff”, the “non substitution of personnel on sick leave or on holiday” and “the non-prioritization of ensuring the suitability of the person to the post”, are very significant, have a strong impact on the workers and constitute high-risk aspects that should be targeted in order to ensure patient safety.

Finally, weaknesses are present in key dimensions for a safety-oriented culture, namely the “lack of collaboration with other services to improve safety”, the “lack of effective activities aimed at enhancing patient safety”, the “lack of training and information in safety issues”, the fact that “staff feel that their mistakes are used against them” and the fact that “when an error is reported, the impression is that the person is being judged”.

In our view, the main virtue of the present study lies in the high representativeness of laboratories of Spanish National Health System. We obtained the wide-ranging participation of laboratories, providing different levels of attention and located in all parts of Spain, with multidisciplinary input from every medical specialty in the field of clinical laboratories, and from all groups and levels of personnel. Nevertheless, the study is subject to the limitation that only 67.5% of the laboratories invited to participate actually did so; this could reflect a certain non-response bias, with some laboratories not wishing to take part in the study, probably influenced by the severe economic crisis currently affecting the country, which has provoked cutbacks in the field of health care. Furthermore, participants for the questionnaire survey were selected via heads of service or section; inevitably, issues related to laboratory management and the socio-occupational framework itself will have influenced how the questionnaire was administered and the questions answered. In all areas of work, the same types of personnel tend to participate most actively, and this can give rise to the presence of a social desirability bias, thus impacting on the results obtained; nevertheless, our analysis of the responses by job description (from head of service to administrative staff) did not detect any bias in this sense.

Another possible limitation of the study lies in its use of the construct “culture”. We are aware that questionnaire responses alone are unlikely to adequately reflect all the dimensions inherent to this term (3, 4). Furthermore, the generalizations derived from the data obtained may be unsound, as both the characteristics and the organizational environment of the healthcare centers taking part in the study, especially with respect to their culture, may differ considerably. Finally, the use of self-assessment methodology is also a weakness. Nevertheless, our analysis revealed significant differences in results among the groups.

Since the assessment mechanisms are similar, our study could be compared with that performed in 2009 by the Ministry of Health, Social Services and Equality, entitled “Analysis of patient safety culture conducted in Spanish public hospitals” (29). However, the approaches adopted in the two studies are different: in our study, the sample of centers evaluated was somewhat larger (27 versus 24), and furthermore, they were stratified according to the different levels of service provided. We obtained a higher overall response rate, from a more comprehensive study population, representing all those involved in the clinical analysis process. We obtained a higher average score, overall, and we identified a significant number of strengths. However, three weaknesses were highlighted in both studies, namely “the provision of human resources”, “collaboration with other services/units” and “punitive response to errors”.

In future studies, we intend to conduct a benchmarking analysis of the laboratories involved in this work, comparing individual assessments by centre and by hospital. Safety is a dynamic condition and in this sense, the present study was conducted at a crucial moment, due to the healthcare cutbacks being implemented and their impact in terms of technology and human resources. Furthermore, a process of radical change is currently taking place in laboratories’ organizational structure. In consequence, after these new organizational models have become clarified and established, it would be interesting to examine whether the interventions and changes made in management practices have effectively improved performance and enhanced the safety culture in clinical laboratories. Finally, if organizational culture is evaluated in order to determine its relationship to performance and quality in the workplace (30), it would be desirable to go a step further and to analyze its effects on the results obtained.

This paper presents the first multicentre study aimed at evaluating clinical safety culture in hospital laboratories within the Spanish national health system. The results obtained reflect the existence of a strong emphasis on patient safety, probably due to the trend toward continuous quality improvement in the system, although much remains to be done, as evidenced by the weaknesses detected. Therefore, the following strategies should be implemented to improve the outlook for patient safety in this environment: 1) greater support from management for fail-safe technology to be incorporated; 2) the promotion of shared responsibility, which is an aspect of great importance in diagnostic support, and an area in which many diverse parties are involved; 3) strengthening a non-punitive culture in response to errors committed in safety matters, providing enhanced training and greater information in this respect.

Acknowledgements

We are grateful for the participation of the Spanish Society of Clinical Chemistry and Molecular Biology (SEQC) and we thank the following staff members for their assistance in conducting the surveys (in alphabetical order):
Arturo Carratalá Calvo (Hospital General Clínico Universitario de Valencia); Arturo Fernández de los Rios (Complejo Hospitalario del Ŕrea de Salud de Mérida, Badajoz); Beatriz Boned Juliani (Hospital Royo Villanova, Zaragoza); Carmen Zugaza Salazar (Hospital Universitario y Hospital Santiago Apóstol de Araba, Vitoria); Cesar García García (Hospital Universitario de Salamanca); Concepción Magadán Núńez (Hospital Arquitecto Macide, El Ferrol). Dulce Saro Herguido (Hospital Son Llŕtzer, Palma de Mallorca); Ernesto Casis Saenz (Hospital Universitari Vall d’Hebrón, Barcelona); Francisco Álvarez Menéndez (Hospital Universitario Central de Asturias); Francisco Bernabeu Andreu (Hospital Universitario Príncipe de Astúrias, Alcalá de Henares, Madrid); Guadalupe Ruiz Martín (Complejo Hospitalario Virgen de la Salud, Toledo); Iratxe López Pelayo (Hospital Universitario Puerta del Mar, Cádiz); Isabel García Calcerrada (Complejo Hospitalario de Ntra Sra de la Candelaria, Sta. Cruz de Tenerife); Jacobo Díaz Portillo (Hospital Universitario de Ceuta); Juan Ignacio Molinos Calvo (Hospital Sierrallana, Torrelavega, Santander); José Ignacio Monreal Marquiegui (Clínica Universidad de Navarra, Pamplona/Iruńa); Juan José Puente Lanzarote (Hospital Clínico Universitario de Zaragoza); Luís García Menéndez (Hospital El Bierzo, Ponferrada, León); MŞ Jesús Oliver Oliver (Hospital Dr. Peset, Valencia); Mercč Ibarz Escuer (Hospital Arnau de Vilanova, Lleida); Olga Ayllon Gatnau (Hospital de Manacor, Mallorca); Patro Chueca Rodríguez (Hospital Reina Sofía de Tudela, Navarra); Rosa Sánchez Navarro (Hospital Clínico Universitario San Cecilio, Granada); Rubén Gómez Rioja (Hospital Universitario La Paz, Madrid).

Notes

[1] Conflicts of interest None declared.

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