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eISSN: 2572-8474

Nursing & Care Open Access Journal

Research Article Volume 9 Issue 3

A comparative analysis of the health services indicators distribution in public hospitals: guide for nursing transformation plan in Saudi Arabia

Nazik Zakari

Nursing Department, College of Applied Sciences, Al Maarefa University, Riyadh, Saudi Arabia

Correspondence: Nazik Zakari, Nursing Department, College of Applied Sciences, Al Maarefa University, Riyadh, Saudi Arabia

Received: August 15, 2023 | Published: August 28, 2023

Citation: Zakari N. A comparative analysis of the health services indicators distribution in public hospitals: guide for nursing transformation plan in Saudi Arabia. Nurse Care Open Acces J. 2023;9(3):109-115. DOI: 10.15406/ncoaj.2023.09.00269

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Abstract

Healthcare in Saudi Arabia (SA) is a national system in which the government provides free universal coverage through public health services to meet the increasing demand for healthcare due to population growth. Saudi Vision 2030 is a national transformation program that translates into a system-wide transformation involving expanding healthcare services focusing on value-based healthcare. This translates into a system-wide transformation involving expanding healthcare services focusing on value-based healthcare. This contributes to a series of developments in the health delivery systems fields and nursing services. This study aims to explore the four selected indicators of health services and to provide a plan for nursing transformation in SA. The study employs the data of 4 selected indicators and data of the total population extracted from the statistical yearbooks of the last five years (2017- 2021). Descriptive statistics, normality distribution using the Shapiro-Wilk test, and Homogeneity of variance applying Levene’s test were employed. In the analysis of health distribution, the proportion between the total population as the independent factor and the total of health services as the dependent factor was conducted. The major total of the population was located in three main regions, with 66.3%. The spatial distribution of the selected health indicators was related to the population distribution in three main regions, with 43.7% of the hospitals, 51.6% of the hospital beds, 57.3% of the physicians, and 55.4% of the nurses. The abnormality of total population distribution with a p-value of 0.001 at the freedom degree of 13 was noticed. In addition, the analysis shows an abnormally distributed total of the selected health indicators with a p-value of 0.001-0.026 at a freedom degree of 13.

Keywords: health services indicators; health services distribution; population grow rate; health delivery systems; nursing services

Introduction

Healthcare in Saudi Arabia (SA) is a national healthcare system by providing universal healthcare coverage free of charge through public hospitals and primary care to meet the increasing demand for healthcare due to population growth. The Ministry of Health (MoH) is the authority that supervises preventive, curative, and rehabilitation health services. It provides health care for all members of society, from the advanced technology specialist through a broad base of general and specialist hospitals.1 The MoH is also responsible for managing, planning, financing, and regulating the healthcare sector. The Ministry of Health's Health Program strives to enhance the availability of healthcare services by achieving widespread coverage and ensuring fair and inclusive distribution across different regions. It will employ and establish integrated healthcare systems by implementing and following the best evidence-based international standards that ensure the satisfaction of beneficiaries and cover all regions of SA.2 In light of these circumstances, Saudi Vision 2030 represents a momentous and impactful transformation on a national scale. This results in a comprehensive change throughout the system, encompassing the growth of healthcare services and heightened effectiveness. The emphasis is placed on healthcare centered around value, leading to a sequence of advancements in health delivery systems, nursing, commerce, education, communication, science, and technology.3,4

The changes address increasing pressures on the Saudi healthcare system due to a growing population and elevated anticipations for enhanced healthcare for every citizen.5 Transforming the healthcare system will demand a fundamental reconsideration of the responsibilities held by numerous healthcare professionals, including nurses.

Moreover, nurses today make up the backbone of health care. Nearly they are the largest of the healthcare workforce and deliver comprehensive patient care making a positive difference in patient care quality.6 Dealing with the scarce supply of nurses necessitates a tailored approach based on data insights that consider the specific supply and demand dynamics of the country. It requires evidence-informed policy and resource allocation at national, sub-national, and organizational levels. The need for nurses is on the rise globally. Effective nursing workforce planning is essential to diminish health disparities and establish enduring healthcare systems.7

By 2030, SA will have to secure an extra 175,000 doctors, nurses, and other healthcare staff to address shortages and fulfill the healthcare needs of the population; this includes about 64,000 extra nurses.8 With the escalating global deficiency in nursing personnel, SA might find itself in competition with other nations to attract the limited pool of foreign nurses. Developing and executing a nursing transformation strategy is crucial for enhancing and elevating the quality of patient care provided by nurses. The plan will empower nurses to optimize critical thinking and evidence-based nursing practice by delivering safe, effective care in a timely and efficient manner in all disciplines across healthcare2 In SA, a few nursing programs and initiatives have already been developed to target necessary improvements in nursing transformation in practice are yet to be apprehended. The necessity for this change in emphasis has grown notably pressing, especially in relation to chronic illnesses, primary care involving care coordination and transitional care, the promotion of health and well-being, and the avoidance of unfavorable occurrences like hospital-acquired infections.9 However, the count of advanced practice Saudi nurses remains exceedingly restricted, constituting less than an approximate 5% of the entire nursing workforce.10

Systematic reviews of public hospital efficiency studies in the Gulf region and similar countries were limited.11 The health services efficiency was evaluated in some Iranian public hospitals using Data Envelopment Analysis (DEA) approach,12 analyzing the factors affecting the hospital's efficiency13 and measuring the efficiency of general hospitals.14 In the United Arab Emirates, the study used DEA approach to analyze the frontier efficiency of the hospitals. In the same context,16 the public hospitals’ efficiency in provincial markets in Turkey was studied. However,17 analyzed the ambiguous relationship between efficiency, quality, and patient satisfaction in the public hospitals of Turkey.

Studies are generally scarce on assessing public hospital distribution in Saudi regions. This rarity is particularly acute in the context of Kingdom of Saudi Arabia (KSA).18 The analysis discovered merely three studies conducted within the context of Saudi Arabia (KSA). One of these studies, titled "Measuring the Efficiency of Health Service Regions in KSA using DEA. The second was “a comparative study between 2014 and 2006," evaluated the effectiveness of healthcare services at the district level in SA.19 In 2013, another examination of efficiency was carried out on 20 public hospitals managed by the private sector. The study revealed that 60% of the sampled hospitals had not attained the optimal efficiency score.20 In addition, another study presented the efficiency evaluation of public hospitals in SA and application of DEA.21 The study revealed that 75.8% of public hospitals were deemed technically inefficient. Smaller hospitals demonstrated greater efficiency compared to their larger counterparts, both medium-sized and large hospitals. Healthcare facilities situated in the central region exhibited higher levels of efficiency in comparison to hospitals located in different geographic areas. Examination of performance highlighted that excessive utilization of physician resources and inadequacy in health service provision were identified as primary reasons for inefficiency. The study's objective is to investigate the four chosen indicators within hospitals and devise a strategy for the transformation of nursing in SA.

Material and methods

The study was carried out in a region of SA that is divided into 13 administrative provinces (Figure 1).

Figure 1 Geographic location of study area (Saudi Arabia)

Data collection

The author employ data on public hospitals number, hospital beds, physicians, and nurses collected from the Statistical Year Books for the period 2017-2021,1 edited by the Ministry of Health (MoH).1. These data were available by region (Table 1).

Year

2017

2018

2019

2020

2021

2017

2018

2019

2020

2021

Region

 

Hospitals number

 

 

Hospital Beds

 

Riyadh

49

49

49

49

49

8337

8337

8507

8507

8707

Makkah

38

39

39

39

39

8475

8425

8425

8425

8425

Al Madinah

19

19

20

20

20

2768

2768

3268

3268

3118

Qaseem

19

19

19

19

19

2859

2859

2909

2909

2909

Eastern Province

36

37

37

37

37

1855

6311

6411

6511

6511

Aseer

32

32

33

33

33

3500

3500

3600

3650

3650

Tabouk

12

12

12

12

12

1820

1820

1820

1820

1920

Ha'il

12

13

13

13

13

1290

1790

1855

1855

1940

Northern Borders.

10

10

10

11

11

1360

1360

1360

1360

1460

Jazan

21

21

21

21

21

2225

2225

2225

2225

2275

Najran

11

10

10

10

10

1330

1330

1300

1300

1300

Al Bahah

10

10

10

10

10

1165

1165

1165

1165

1295

Al Jouf

13

13

13

13

13

1420

1820

1820

1820

1820

Region

 

Physicians

 

 

 

 

Nurses

 

 

Riyadh

6873

7261

8976

8601

12299

17659

13677

20354

18061

20585

Makkah

7542

8298

8998

8422

11876

16671

1307

16192

16201

65204

Al Madinah

2542

2633

2952

1027

4163

5850

5765

6073

6672

7992

Qaseem

2092

2212

2383

704

3564

4877

5215

5434

5642

6707

Eastern Province

5310

5268

5999

5890

8464

13038

12259

12240

13707

16673

Aseer

2792

2725

3081

3485

5503

5831

5264

5537

6462

8374

Tabouk

1294

1378

1441

1390

2135

3301

3232

3073

3182

3972

Ha'il

866

1131

1297

1402

1967

2235

2629

2683

2998

3713

Northern Borders.

805

844

985

1006

1439

2238

2407

2447

2548

2876

Jazan

1693

1708

1930

1964

2971

4082

3736

3918

4624

5629

Najran

1027

1167

1263

1266

1720

2610

2627

2613

2935

3382

Al Bahah

934

933

992

986

1520

1761

1598

1671

1821

2257

Al Jouf

1134

1159

1298

1407

1937

3800

3766

3840

4237

4924

Table 1 The distribution of the selected health indicators data

The population information was gathered from the Statistical Year Books published between 2017 and 2021 by the General Authority of Statistics.1 The total population in 2021 was estimated by the Geometric Growth Model and the population Census of 2010 and 2020 (Table 2).

Region

2017

2018

2019

2020

2021

Riyadh

8216284

8446866

8660885

8872712

9115014

Makkah

8557766

8803545

9033491

8931968

9163526

Al Madinah

2132679

2188138

2239923

2291092

2349932

Qaseem

1423935

1455693

1488285

1520434

1554805

Eastern Province

4900325

5028753

5148598

5266998

5399828

Aseer

2211875

2261618

2308329

2683609

2775944

Tabouk

910030

930507

949612

968414

988144

Ha'il

699774

716021

731147

746046

762841

Northern Borders

365231

375310

383051

390656

398463

Jazan

1567547

1603659

1637361

1670569

1704646

Najran

582243

595705

608467

621040

633937

Al Bahah

476172

487108

497068

506866

517493

Al Jouf

508475

520737

531952

543010

554552

Table 2 Total growth population in SA

Data analysis

The data analysis is based on different methods. The author used SPSS23 software for data analysis and computing descriptive statistics. Shapiro-Wilk and Levene’s tests were used for detecting the normality distribution Homogeneity of variance. The health services distributions were analyzed and evaluated using the proportion between the total population as the independent factor and the total health services (hospital number, hospital beds, physicians, and nurses) as the dependent factors. The mapping technique illustrated the results of the assessment.

Results

Population distribution

From Table 1, the mean ratio of total population distribution from 2017-2021 varies from 1.1% in the Northern borders to 25.5% Makkah of the total population in SA. The major total population was located in three main regions, with 66.3% of the total population (25.3% in Riyadh, 26.0% in Makkah, and 15.0% in Eastern province). They are the capital city, the Holly capital, and the industrial capital, respectively (Figure 2). The Shapiro-Wilk test shows that the data distribution of the total population is abnormally distributed with a p-value of 0.001 at the freedom degree of 13.

Figure 2 Spatial distribution of the proportional mean of the population over Saudi Arabia in 2017-2021

Health services distribution

The total number of public hospitals increased from 282 in 2017 to 287 in 2021, with the inauguration of five new hospitals in Ha’il, Eastern Province during 2018, Aseer and Al Madinah during 2019, and Northern borders during 2020. From Table 3 and Figure 3, the spatial distribution of the selected health indicators was related to the population distribution and located in three main regions (Riyadh, Makkah, and Eastern province) with respectively, with 43.7% of the hospitals, 51.6% of the hospital beds, 57.3% of the physicians and 55.4% of the nurses. The Shapiro-Wilk test shows that the data distribution of the total selected health indicators is abnormally distributed with a p-value of 0.001-0.026 at a freedom degree of 13.

Figure 3 Spatial distribution of the mean rate of health services over Saudi Arabia in (2017-2021)

Year

2017

2018

2019

2020

2021

2017

2018

2019

2020

2021

Region

 

Hospitals number

 

Hospital Beds

Riyadh

17.4

17.3

17.1

17.1

17.1

21.7

19.1

19.0

19.0

19.2

Makkah

13.5

13.7

13.6

13.6

13.6

22.1

19.3

18.9

18.8

18.6

Al Madinah

6.7

6.7

7.0

7.0

7.0

7.2

6.3

7.3

7.3

6.9

Qaseem

6.7

6.7

6.6

6.6

6.6

7.4

6.5

6.5

6.5

6.4

Eastern Province

12.8

13.0

12.9

12.9

12.9

4.8

14.4

14.4

14.5

14.4

Aseer

11.3

11.3

11.5

11.5

11.5

9.1

8.0

8.1

8.1

8.1

Tabouk

4.3

4.2

4.2

4.2

4.2

4.7

4.2

4.1

4.1

4.2

Ha'il

4.3

4.6

4.5

4.5

4.5

3.4

4.1

4.2

4.1

4.3

Northern Borders.

3.5

3.5

3.5

3.8

3.8

3.5

3.1

3.0

3.0

3.2

Jazan

7.4

7.4

7.3

7.3

7.3

5.8

5.1

5.0

5.0

5.0

Najran

3.9

3.5

3.5

3.5

3.5

3.5

3.0

2.9

2.9

2.9

Al Bahah

3.5

3.5

3.5

3.5

3.5

3.0

2.7

2.6

2.6

2.9

Al Jouf

4.6

4.6

4.5

4.5

4.5

3.7

4.2

4.1

4.1

4.0

Region

 

Physicians

 

 

 

 

Nurses

 

 

Riyadh

19.7

19.8

21.6

22.9

20.7

21.0

21.0

21.0

21.0

21.0

Makkah

21.6

22.6

21.6

22.4

19.9

19.9

19.9

19.9

19.9

19.9

Al Madinah

7.3

7.2

7.1

2.7

7.0

7.0

7.0

7.0

7.0

7.0

Qaseem

6.0

6.0

5.7

1.9

6.0

5.8

5.8

5.8

5.8

5.8

Eastern Province

15.2

14.3

14.4

15.7

14.2

15.5

15.5

15.5

15.5

15.5

Aseer

8.0

7.4

7.4

9.3

9.2

6.9

6.9

6.9

6.9

6.9

Tabouk

3.7

3.8

3.5

3.7

3.6

3.9

3.9

3.9

3.9

3.9

Ha'il

2.5

3.1

3.1

3.7

3.3

2.7

2.7

2.7

2.7

2.7

Northern Borders.

2.3

2.3

2.4

2.7

2.4

2.7

2.7

2.7

2.7

2.7

Jazan

4.9

4.7

4.6

5.2

5.0

4.9

4.9

4.9

4.9

4.9

Najran

2.9

3.2

3.0

3.4

2.9

3.1

3.1

3.1

3.1

3.1

Al Bahah

2.7

2.5

2.4

2.6

2.6

2.1

2.1

2.1

2.1

2.1

Al Jouf

3.2

3.2

3.1

3.7

3.3

4.5

4.5

4.5

4.5

4.5

Table 3 Proportional distribution of the health services by the regions

Dire discrepancy between population and distribution of health services

During the last five years, the total population has increased from 32.6 million (2017) to 35.9 million (2021), with an annual growth rate of 2.1% (Table 4).

Health indicator

2017

2018

2019

2020

2021

A grow rate

Total Population

32554353

33415678

34220188

35015434

35921146

673359

Tot Hospitals

282

284

286

287

287

1

Hospital Beds

38404

43710

44665

44815

45330

1385

Physicians

34904

36717

41595

37550

59558

4931

Nurses

83953

63482

86075

89090

152288

13667

Table 4 Total population and health indicators in the period

From Table 4, the selected health indicators increase with an annual average of 1 hospital, 1385 hospital beds, 4931 physicians, and 13667. The increase in the mentioned health indicators is related to the increase in the population, as indicated by the correlations (Table 5). Table 6 summarizes the distribution of the health indicators per 10000 population during the last five years.

Dependent variable

R2

Sig.

df1

df2

Regression model

Hospital

0,930

0.000

3

61

Cubic

Hospital Beds

0.954

0.000

3

61

Cubic

Physicians

0.916

0.000

3

61

Cubic

Nurses

0.638

0.000

3

61

Exponential

Table 5 Regression parameters between the total population and the health indicators in 2017-2021

From Table 6 and Figure 4, the health resources of the selected indicators show the following distribution:

  1. Every 10000-population served in Makkah, Riyadh, Eastern Province, and Al Madinah were served by 23, 18, 14, and 11 hospitals, respectively (Figure 4A). In four regions (Jazan, Qaseem, Tabouk, and Aseer), every 10000 population was served by eight hospitals. In five regions (Ha’il, Najran, Al Bahah, Northern borders, and Al Jouf), the indicator varies from 4 to 6 hospitals/10000 population.
  2. Every 10000-population served in Najran, Ha’il, Al Bahah, Al Jouf, and Northern borders was served by 22, 24, 24, 33, and 36 hospital beds, respectively (Figure 4B). In two regions (Qaseem and Tabouk), every 10000 population was served by 19 hospital beds. In five regions (Riyadh, Eastern Province, Al Madinah, Jazan, and Aseer), the indicator varies from 10 to 15 hospitals/10000 population. The hospital beds indicator is less than 10 in only the Makkah region.
  3. Every 10000 population were served in Najran, Al Bahah, Al Jouf, and Northen borders by 21, 22, 26, and 26 physicians, respectively (Figure 4C). In two regions (Tabouk and Ha’il), every 10000 population was served by 16 and 18 physicians, respectively. In five regions (Al Madinah, Eastern Province, Jazan, Aseer, and Qaseem), the indicator varies from 12 to 15 physicians/10000 population. The physicians' indicator does not exceed 10 in only Makkah and Riyadh hospitals.
  4. Every 10000 population served in Najran, Northern borders, and Al Jouf were served by 46, 65, and 77 nurses, respectively (Figure 4D). In three regions (Al Bahah, Qaseem, and Ha’il), every 10000 population was served by 37, 37, and 39 nurses. In six regions (Aseer, Makkah, Eastern Province, Jazan, Al Madinah, and Tabouk), the indicator varies from 26 to 35 physicians/10000 population. The nurses' indicator does not exceed 21 in only Riyadh hospitals.

Figure 4 Spatial distributions of the health indicators per 10000 population over Saudi Arabia in 2021

Year

2017

2018

2019

2020

2021

2017

2018

2019

2020

2021

Region

 

Hospitals number

 

 

 

Hospital Beds

 

Riyadh

17

17

18

18

19

10

10

10

10

10

Makkah

23

23

23

23

23

10

10

9

9

9

Al Madinah

11

12

11

11

12

13

13

15

14

13

Qaseem

7

8

8

8

8

20

20

20

19

19

Eastern Province

14

14

14

14

15

4

13

12

12

12

Aseer

7

7

7

8

8

16

15

16

14

13

Tabouk

8

8

8

8

8

20

20

19

19

19

Ha'il

6

6

6

6

6

18

25

25

25

25

Northern Borders.

4

4

4

4

4

37

36

36

35

37

Jazan

7

8

8

8

8

14

14

14

13

13

Najran

5

6

6

6

6

23

22

21

21

21

Al Bahah

5

5

5

5

5

24

24

23

23

25

Al Jouf

4

4

4

4

4

28

35

34

34

33

Region

 

 

Physicians

 

 

 

 

Nurses

 

 

Riyadh

8

9

10

10

13

21

16

24

20

23

Makkah

9

9

10

9

13

19

1

18

18

71

Al Madinah

12

12

13

4

18

27

26

27

29

34

Qaseem

15

15

16

5

23

34

36

37

37

43

Eastern Province

11

10

12

11

16

27

24

24

26

31

Aseer

13

12

13

13

20

26

23

24

24

30

Tabouk

14

15

15

14

22

36

35

32

33

40

Ha'il

12

16

18

19

26

32

37

37

40

49

Northern Borders.

22

22

26

26

36

61

64

64

65

72

Jazan

11

11

12

12

17

26

23

24

28

33

Najran

18

20

21

20

27

45

44

43

47

53

Al Bahah

20

19

20

19

29

37

33

34

36

44

Al Jouf

22

22

24

26

35

75

72

72

78

89

Table 6 Distribution of the health resources indicators (per 10000 population) by regions

Discussion

The data distribution of the health indicators and the total population differs from the normal distribution. In the last five years, the total population has been located in three main regions: Riyadh, Makkah, and Eastern Province, with 66.8% of the total population. It has been observed that the distribution of health indicators is related to the population distribution in Makkah, Riyadh, and Eastern province, with 43.7% of the hospitals, 51.6% of the hospital beds, 57.3% of the physicians, and 55.4% of the nurses. The correlation between the allocations of health indicators per 10,000 people changes in an opposite manner compared to the population distribution. Smaller hospitals are situated in the northern, southern, and southwestern regions. The hospitals in the central region were better served in health indicators. Furthermore, the findings show that less than five hospitals, 10-15 hospital beds, less than 11 physicians, and 26-35 nurses serve 50.9%, 59.4%, 50.8%, and 62.3% of the total population in 2021.

Based on the difference in the distribution of the total population in the regions of the Kingdom, there is some linked variation in the distribution of the six indicators (number of hospitals, beds, doctors, nurses, pharmacies, and supportive health professionals. The development of health services at the level of the hospitals of the MoH remains in the medium term from 5 to 10 years that will affected by these discrepancies. Therefore, Vision 2030 may offer many future solutions to reconsider the diversity of the distribution of health services in the regions of the Kingdom in a more balanced manner at all levels. In addition, developing nursing services within the framework of Vision 2030 will help stabilize the serviced population in their regions without the need to move for treatment to hospitals in major cities. Implementing these strategies could potentially alleviate the demand for healthcare services in the Ministry of Health hospitals located in major urban areas. Furthermore, aside from the points mentioned, enhancing nursing services by fostering the growth of medical services delivered by allied medical teams could serve as a valuable means of support in provision.

A range of subspecialty nurses should be established to bridge the divide, encompassing disciplines such as wound care, hematology, pain management, palliative care, home healthcare, and more. Nonetheless, the count of advanced practice Saudi nurses remains constrained, constituting a fraction of the nursing workforce that is lower than an estimated 5%.10 Establishing a more advanced nursing program is essential. Enhancing the dispersion of nursing staff through nursing transformation initiatives can broaden and heighten the incentives for delivering care in rural healthcare facilities. Offering inducements such as enhanced educational opportunities and career advancement, subsidies for housing, and addressing safety apprehensions can contribute to rendering rural areas more appealing to nurses. Another directive involves the introduction of Telenursing, which can aid in delivering healthcare and nursing assistance to distant communities, particularly for home-based care and the management of chronic illnesses.22

In SA, a few nursing programs and initiatives have already been developed to target necessary improvements in nursing transformation in practice are yet to be apprehended. The need for this shift in focus has become particularly urgent with respect to the selected indicators. With the spatial distribution differences between the total population and health indicators taken into account, it has become essential to reevaluate the planning of healthcare services within the MoH. This is aimed at balancing the growing healthcare demands across various regions in SA. Moreover, nurses at every tier have the potential to significantly contribute to the realization of the objectives set by Vision 2030 in enhancing the healthcare system. This can be achieved through the formulation of a transformation plan.

The evolving terrain of the healthcare system and the shifting demographics of the population necessitate a significant alteration in the system. This involves implementing more inventive nursing transformation initiatives that emphasize delivering care within the community instead of acute care settings. The objective is to establish a continuous care process, empower all healthcare practitioners to utilize their full education, training, and capabilities, and cultivate collaborative interactions among various healthcare disciplines.

Nurses possess the chance to take a pivotal role in reshaping the healthcare system, aiming to establish an environment that is more accessible, characterized by high quality, and centered around value for patients. This is contingent upon the system making the most of this potential. However, in such a situation, it will be necessary to eliminate the restrictions imposed by outdated policies, regulations, and cultural hindrances. This includes addressing issues related to the extent of responsibilities, with a particular focus on advanced practice registered nurses.

Conclusion

Evidently, a discrepancy exists in the spatial arrangement of the overall population and the chosen health indicators, which can potentially impact the efficiency of hospitals, both directly and indirectly. Reconsidering the spatial distribution is required to facilitate optimal use of health services capacity available in public. Diverse categories of subspecialty nurses and advanced practice nurses must be cultivated to bridge the divide in meeting the public's healthcare needs. Nurses at all levels can play a key role in achieving the goals of Vision 2030 for improving the healthcare system by developing a transformation plan.

Acknowledgments

None.

Conflicts of interest

The authors declare no conflicts of interest.

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