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  • Research article
  • Open Access
  • Open Peer Review

Determinants of inappropriate admissions of children to county hospitals: a cross-sectional study from rural China

Contributed equally
BMC Health Services Research201919:126

https://doi.org/10.1186/s12913-019-3944-1

  • Received: 2 September 2018
  • Accepted: 1 February 2019
  • Published:
Open Peer Review reports

Abstract

Background

The incidence of inappropriate admissions in China has become the shackle of its’ service supply system. This research aims to assess the level of children’s inappropriate admissions to county hospitals in rural China and identify the characteristics and determinants of children’s inappropriate admissions.

Methods

A retrospective review was conducted on data of children aged 0–14 years. A total of 771 children medical records in four county hospitals was collected by stratified random sampling in Midwestern China and was evaluated through the Rural Appropriateness Evaluation Protocol. A questionnaire survey was conducted among doctors whose names were shown in medical records. Chi-square test was used to analyse the characteristics of inappropriate admissions, and a binary logistic regression model was used to examine the determinants of inappropriate admissions.

Results

Inappropriate admissions indicate that patients who could have been treated as outpatients received services as inpatients. The average rate for inappropriate admissions of children in county hospitals was 61.35%. The highest rate of inappropriate admissions was found among children aged 1–5 years (68.42%). Inappropriate admissions mostly occurred in children with respiratory diseases (72.45%), circulatory diseases (72.22%) and certain infectious diseases and parasitic diseases (70.37%). Binary logistic regression analysis showed that county, normal health status, treating department, disease, the length of hospital stay and the doctor’s self-evaluation on the understanding about the degree of the patient’s feelings were determinants for children’s inappropriate admissions.

Conclusions

County hospitals have a high rate of inappropriate admissions of children. The relationship of children’s inappropriate admissions to age distribution and the insurance compensation is affected by disease and hospitalisation expenses, respectively. The determinants of children’s inappropriate admissions are directly related to the weak level of primary care services in the health service system, the initial requirements requested by children’s admission decision makers and the interests among medical institutions and doctors.

Keywords

  • Inappropriate admission
  • Children
  • County hospital
  • Rural China

Background

Inappropriate admissions indicate that patients who could have been treated as outpatients received services as inpatients [1, 2]. This phenomenon increases the average medical expenditure and waste in health resources [3]. Some studies have reported that inappropriate admissions have substantially contributed to high hospitalisation rate [4]. From 2003 to 2013, the hospitalisation rate for children aged 0–14 years in rural China increased by 2.86 times from 1.73 to 4.95% [5]. The increasing hospitalisation rate for children expanded faster than the forecast, suggesting that inappropriate admissions might occur. Several studies have indicated that children are the high-risk group for inappropriate admissions [6, 7]. In 2013, the rate of inappropriate admissions for children (aged 0–14 years) in county hospitals was 21.8%, which was higher than that for people aged 15–64 years (5.8%) and aged 65 years and older (5.6%) [7]. The number of children in China has increased with the universal two-child policy. Inappropriate admissions can cause cross-infection and other threats to children’s health [8]. Therefore, controlling the inappropriate admissions of children is important.

As a special group in society, children lack the ability to decide whether or not they should be hospitalised. Their admission often stems from their guardians or doctors [8]. National conditions, including China’s long-term one-child policy, ensure that the inappropriate admissions of children in China are different from those in other countries in some way. On the one hand, urban areas include municipalities and prefecture-level cities; rural areas include counties or county-level cities and their subordinate towns and villages. Therefore, the establishment of medical institutions in China covers municipal hospitals, county hospitals, township hospitals and village clinics. The latter three of the above-mentioned medical institutions are rural medical institutions [9]. Among them, county hospitals have the strongest capacity in providing medical services, so they play a leading role within counties. In terms of hospitalisation services, county hospitals treat more kinds of diseases than township hospitals. Meanwhile, village clinics generally do not provide inpatient services. Taking a prefecture-level city in China as an example, data show that among the pediatric inpatients classified by municipal hospitals, county hospitals, township hospitals and private hospitals, the number of hospitalised children in county hospitals accounts for 50.2% of the total number of hospitalised patients; children hospitalized in municipal hospitals and township hospitals was 39.4 and 7.3% of the total number of patients, respectively [10]. The tendency of children patients to hospitalise in county hospitals affects the rate of inappropriate admissions of children in county hospitals. On the other hand, from the perspective of service providers, doctors tend to provide extended services to be on the safe side because children cannot truly describe their feelings. This phenomenon could lead defensive medicine which influences the occurrence of inappropriate admissions [11, 12].

In recent years, the Chinese government has issued a series of policies, such as the payment reform of new rural cooperative medical system (NRCMS) and the family doctor contracting services, to guide patients to seek appropriate medical advices and prevent improper hospitalisation behaviours. However, the unreasonable demands and utilisations of inpatient services remain unresolved. Causes of this problem are not yet clear. It is necessary to identify the determinants of children’s inappropriate admissions, so as to improve the efficiency of the utilisation of hospital services, avoid unnecessary waste of medical resources, and ensure the quality and safety of children’s medical services.

Most studies on inappropriate admissions of children were based on their medical records provided by hospitals [6, 1323]. They mainly focused on evaluating the rate of inappropriate admissions, identifying the basic characteristics and influencing factors and further analysing health policies, hospital management system and health service behaviors behind them. In terms of characteristics, studies focused on the severity of illness and diseases in hospitalised children. For instance, De Marco et al. suggested that children with influenza-like illness are likely to have inappropriate admissions [6]. On the analysis of influencing factors, Aida et al. found that the ratio of inappropriate admissions could be reduced by strengthening the relationship between hospitals and community service agencies [15]. Magdy et al. believed that the rate of inappropriate admissions of children in Kuwait was up to 40%, which can be explained by its’ free health care services and easy access to hospital services [13]. In China, a few studies were conducted about inappropriate admissions on the whole population including children were conducted. Meanwhile, the existing studies did not focus on the children in county hospitals. Given differences in the determinants of inappropriate admissions of children and other groups, factors influencing inappropriate admissions of children at the county hospitals are worthy of further investigation. Therefore, this study investigated the determinants of children’s inappropriate admissions. The research hypothesis of this study is that the appropriateness of children hospitalisation to county hospitals in rural China is related to the health policies and environments factors regarding children.

This study aims to investigate the level and determinants of the inappropriate admissions of children to provide comprehensive and targeted strategies for the managers and decision-makers in controlling this phenomenon.

Methods

Sample selection

We conducted this research in 2017, and the surveyed population was inpatient aged 0–14 years. In the eastern part of China, many rural areas rapidly became cities due to social development. Hence, county property attributes decreased. Therefore, this study did not include the eastern part of China in the research scope. We applied stratified random sampling and the principle of convenience in selected counties and county-level cities in China’s central (e.g. Dingyuan in Anhui Province) and western (e.g. Weiyuan and Huining in Gansu Province; Yilong in Sichuan Province) regions, which were designated as sample areas. The biggest county hospital in each county was used as the sample hospital. Table 1 shows the basic information and the service provision of the sample county hospitals in the year before this study was carried out.
Table 1

The fundamental state of the sample county hospitals

Index

County hospital in Dingyuan

County hospital in Weiyuan

County hospital in Huining

County hospital in Yilong

Designated bed capacity

845

350

400

750

Number of actually available bed

880

450

652

780

Number of on-post staff

1233

328

951

851

Among them:

 Doctors

319

81

157

198

 Registered nurses

499

49

483

376

Frequency of outpatient and emergency visits

531.5 thousand person

101.4 thousand person

228.4 thousand person

278.3 thousand person

Number of discharged patients

62.1 thousand person

14.2 thousand person

28 thousand person

29.4 thousand person

We believed that the NRCMS in different regions affected the inappropriate admissions for residents. Thus we also collected the compensation policies for NRCMS in the selected regions. Table 2 shows how the patients from the four counties benefited from the reimbursement policies of NRCMS. These counties shared the same financing policies in 2017. Reimbursement took two forms, namely, outpatient and inpatient reimbursements. The outpatient service in county hospitals was not covered. The reimbursement of inpatients ranged from 75 to 85% of the total reimbursements, and the deductible line was between 400 and 650 RMB. Overall, the NRCMS hospitalisation benefits were high in all regions.
Table 2

NRCMS reimbursement polices in the survey areas in 2017

County

Dingyuan

Weiyuan

Huining

Yilong

Payment

Global budget

Payment for single disease

Payment for single disease

Global budget

Reimbursement of Outpatient

Reimbursement Ratio

45% for county hospitals

60% for county hospitals

60% for county hospitals

60% for county hospitals

50% for village clinic

60% for village clinic

60% for village clinic

60% for village clinic

Annual Payment Limitation

150 RMB

150 RMB

300RMB

120RMB

Reimbursement of Inpatient

The Low Limit of Pay Line

620 RMB for county hospitals

500 RMB for county hospitals

500 RMB for county hospitals

400 RMB for county hospitals

150 RMB for township hospitals

150 RMB for township hospitals

150 RMB for township hospitals

100 RMB for township hospitals

Reimbursement Ratio

85% for county hospitals

70% for county hospitals

80% for county hospitals

75% for county hospitals

90% for township hospitals

80% for township hospitals

90% for township hospitals

90% for township hospitals

Single payment limitation

-

15,000 RMB for county hospitals

20,000 RMB for county hospitals

-

3,000 RMB for township hospitals

3,000 RMB for township hospitals

Annual Payment Limitation

200,000 RMB

80,000RMB

80,000RMB

180,000RMB

Sample size estimation

According to previous studies, the estimated inappropriate admission rate P is 40%, the expected error δ is 0.035 and the confidence level α is 0.05 in the sampling calculation:

$$ \mathrm{N}={\mathrm{Z}}_{\alpha /2}^2\times P\left(1-P\right)/{\updelta}^2={1.96}^2\times 0.40\times \left(1-0.40\right)/{0.035}^2=753 $$

Based on the population in the surveyed areas and the scale of operation of the surveyed hospitals, 220 hospitalised children medical records were selected in Dingyuan county of Anhui Province and Yilong of Sichuan Province and 175 hospitalised children medical records were selected in Weiyuan and Huining County of Gansu Province. Children were admitted in departments such as paediatrics, surgery, orthopaedics and internal medicine. Our study selected number of medical records in each department relative to the proportion of children in the department. After the non-evaluable medical records were removed, 771 medical records of inpatients in four counties were finally obtained.

Records appropriateness evaluation

Considering the actual situation of China, 771 admission records were collected at the beginning and identified through the improving rural appropriateness evaluation protocol (RAEP) which was culturally suitable and widely used in this country (Additional file 1). There were three specially trained experts evaluated the medical records collected, all of whom were Ph.D. and involved in health policy research more than five years. Experts who owned the rich of research experience and deep understanding of existing services in rural China enabled to make the fair judgment on records with strict accordance with standards. Furthermore, each record was examined by two judges to ensure the quality of the medical records. If two judges had different opinions, the medical record would be sent to a third party. We obtained the results after a comprehensive evaluation. The RAEP standard was based on the value of the medical records. Therefore, all RAEP related indexes were extracted firstly. The actual values were then compared with the standard values. If an index value corresponded to the standard value, the admission record was appropriate. If all the relevant values of the medical record did not conform to the evaluation table criteria, the record was an inappropriate admission.

Research content

First, information, including personal and hospitalisation information of patients, was collected from the inpatient medical records. The patient’s personal information included the patient number, gender, age, normal health status and whether to get the insurance compensation. Other inpatient information included the admission department, name of the doctor in charge, day of the week of admission, emergency admission, admission and discharge diagnosis, test results, operation conditions and the length of hospital stay (LOS). After obtaining the hospitals’ consent, we conducted a questionnaire survey of the doctors based on the doctor’s name displayed in the inpatient medical records. The doctors’ information involved age, educational background, their sense of the degree to which doctors believe they have autonomy in clinical decision-making, the degree to which doctors believe that they can understand the patient’s feelings, the degree to which they think the tension in doctor-patient relationship (Additional file 2).

Statistical analysis

Medical record information of inpatients was recorded through Epidata 3.2. Diseases were classified using the international classification of diseases 10th Edition (ICD-10).

The characteristics of patients inappropriately admitted to county hospitals were analysed using Pearson’s chi-square test in IBM SPSS Statistics 22.0. Given that Weiyuan County and Huining County were affiliated to the same province and considering the possible clustering between the regions, this study used the generalised estimating equation to build the model and set the job-related matrix type to unstructured firstly. However, in the correlation matrix, the main diagonal element was close to 1, and the remaining elements were near 0. Hence, no clustering occurred between the sampling regions. A binary logistic regression model was used to analyse the determinants of inappropriate admissions of children. The patient’s admission appropriateness (appropriate =0, inappropriate =1) was used as the dependent variable, whereas county, sex, age, compensation for medical insurance, normal health status, admission department, day of the week of admission, disease, the admission route (admitted emergency), LOS and information of doctors mentioned in the research content were the independent variables. Backward stepwise was used to establish the regression model as follows:
$$ Logit(P)=\mathit{\ln}\left(P/1-P\right)={\beta}_0+{\beta}_1 County+{\beta}_2 Normal\ health\ status+{\beta}_3 Department+{\beta}_4 Disease+{\beta}_5 LOS+{\beta}_6{Doctor}^{\prime }s\ \mathrm{understanding}\ {\mathrm{of}\ \mathrm{patient}}^{\prime}\mathrm{s}\ \mathrm{feelings}+\varepsilon . $$

P represents the probability of inappropriate admission for children, β0 is the constant term for the model and ε represents an uncontrollable random error term.

Results

Basic composition of Children’s inpatients and their doctors

The first column in Table 3 shows the children’s admission data: 61.09% were male, the average age was 4.25 years old (age range: 0–14 years old), 91.83% were patients who had gotten compensation after purchasing the NRCMS, and 89.11% were in good normal health. Most of the admissions were non-emergency, and the children with respiratory diseases accounted for 54.6% of the total number of children. The range of LOS was 1–33 days with average and median of 4.97 and 4.45 days, respectively.
Table 3

The Appropriation Distribution Characteristics about Children Inpatients in County Hospitals According to the Medical Records

Variable

N (column%)

Appropriate

Inappropriate

χ2

P

N (column%)

N (column%)

All

771(100.00)

298(38.65)

473(61.35)

  

County

 Dingyuan

219(28.40)

63(28.77)

156(71.23)

68.083

< 0.001

 Weiyuan

166(21.53)

90(54.22)

76(45.78)

 Huining

171(22.18)

95(55.56)

76(44.44)

 Yilong

215(27.89)

50(23.26)

165(76.74)

Gender of patients

  

 Male

471(61.09)

181(38.43)

290(61.57)

0.025

0.874

 Female

300(38.91)

117(39.00)

183(61.00)

Age of patients, (years)

 Less than 1

93(12.06)

52(55.91)

41(44.09)

34.947

< 0.001

 1–5

437(56.68)

138(31.58)

299(68.42)

 6–9

151(19.58)

56(37.09)

95(62.91)

 10–14

90(11.67)

52(57.78)

38(42.22)

 Mean (SD)

4.25(3.70)

    

Whether patients get medical insurance compensation

 Yes

708(91.83)

276(38.98)

432(61.02)

0.403

0.526

 No

63(8.17)

22(34.92)

41(65.08)

Normal heath of patients

 Good

687(89.11)

242(35.23)

445(64.77)

31.204

< 0.001

 General

84(10.89)

56(66.67)

28(33.33)

Department

     

 Paediatrics

654(84.82)

212(32.42)

442(67.58)

70.661

< 0.001

 Others

117(15.18)

86(73.50)

31(26.50)

Day of the week of admission

 Saturday- Sunday

196(25.42)

73(37.24)

123(62.76)

0.219

0.64

 Monday-Friday

575(74.58)

225(39.13)

350(60.87)

Disease category

 Respiratory disease

421(54.6)

116(27.55)

305(72.45)

95.079

< 0.001

 Digestive disease

94(12.19)

37(39.36)

57(60.64)

 Injury and poisoning

42(5.45)

30(71.43)

12(28.57)

Conditions originating

56(7.26)

43(76.79)

13(23.21)

 in perinatal period

 Infectious Diseases

54(7.00)

16(29.63)

38(70.37)

 Symptoms and signs

21(2.72)

10(47.62)

11(52.38)

 Circulatory disease

18(2.33)

5(27.78)

13(72.22)

 Others

65(8.43)

41(63.08)

24(36.92)

Admitted emergency

 Yes

611(79.25)

255(41.73)

356(58.27)

11.808

0.001

 No

160(20.75)

43(26.88)

117(73.13)

LOS, (days)

 Less than 5

400(51.88)

119(29.75)

281(70.25)

40.007

< 0.001

 5–8

293(38.00)

128(43.69)

165(56.31)

 More than 9

78(10.12)

51(65.38)

27(34.62)

 Mean (SD)

4.97(3.43)

    

 Median

4.45

    
The first column in Table 4 shows the doctor status corresponding to each medical record: 42.41 and 79.12% of records indicate that the pediatricians were greater than or equal to 46 years old and they had bachelor’s degree or above. In most cases, doctors believed that they could sense patients’ feelings and that they had a moderate degree of autonomy in clinical decision-making. 47.21% of the records show that doctors thought the existing doctor-patient relationship was moderate.
Table 4

The Appropriation Distribution Characteristics about Children Inpatients in County Hospitals under the Perception of Doctors

Variable

N (column%)

Appropriate

Inappropriate

χ2

P

N (column%)

N (column%)

Age of doctors, (years)

 Less than 36

207(26.85)

92(44.44)

115(55.56)

6.190

0.045

 36–45

237(30.74)

95(40.08)

142(59.92)

 46 years old and above

327(42.41)

111(33.94)

216(66.06)

Educational background of doctors

 Junior college and below

161(20.88)

60(37.27)

101(62.73)

0.164

0.685

 Bachelor degree or above

610(79.12)

238(39.02)

372(60.98)

The degree to which doctors believe they have autonomy in clinical decision-making

 Low

115(14.92)

48(41.74)

67(58.26)

1.118

0.572

 Moderate

355(46.04)

140(39.44)

215(60.56)

 High

301(39.04)

110(36.54)

191(63.46)

The degree to which doctors believe they can understand the patient’s feelings

 Low

159(20.62)

56(35.22)

103(64.78)

1.085

0.581

 Moderate

577(72.24)

229(39.69)

348(60.31)

 High

35(4.54)

13(37.14)

22(62.86)

The degree to which doctors believe tensions between doctors and patients

 Low

184(23.87)

91(49.46)

93(50.54)

12.777

0.002

 Moderate

364(47.21)

123(33.79)

241(66.21)

 High

223(28.92)

84(37.67)

139(62.33)

Characteristics of children inappropriately admitted to county hospitals

Table 3 also shows the characteristics of the patients. A total of 61.35% of the records from the four sample areas indicated inappropriate admissions. The incidence rate varied in different regions (P < 0.001) and ranged from 40 to 80%. The Yilong County of Sichuan province had the highest rate of inappropriate admissions.

In the distribution of individual characteristics, 1- to 5-year-old preschool children and 6- to 9-year-old primary school children were likely to be inappropriately admitted (P < 0.001). The children with good health and in normal status were likely to have inappropriate admissions (P < 0.001). No statistical difference was found in gender and inappropriate admissions, medical insurance compensation and inappropriate admissions. In terms of the distribution of inpatient characteristics, the children hospitalised in paediatrics were more likely to experience inappropriate admission than those hospitalised in other departments (P < 0.001). Inappropriate admission was concentrated in the children with respiratory, circulatory, infectious and digestive diseases (P < 0.001). The children admitted in emergency (P = 0.001) and those with short LOS (P < 0.001) were likely to have inappropriate admission. No statistical difference in the day of the week of admission was found between the two groups.

Table 4 shows that patients treated by doctors over 46-year-old were more likely to be hospitalised inappropriately than those treated by doctors under 45-year-old (P = 0.045). Patients treated by doctors who thought the doctor-patient relationship moderate were more likely to be inappropriately admitted (P = 0.002). There is no significant difference among groups on the degree of doctor’s educational backgrounds, the doctors’ self-determination in diagnosis and their understanding of patients’ feelings to children’s inappropriate admissions.

Probabilistic model of patients in children inappropriately admitted to county hospitals

The binary logistic regression model was used to analyse the determinants of inappropriate admissions of children in county hospitals. With the minimum value as the reference level, the first and ninth variable selection results are shown in Table 5.
Table 5

Logistic regression analysis of inappropriate admission of children inpatients (n = 771)

Variable

AOR

95% CI

Step-1

 County (Dingyuan)

  Weiyuan

0.685

0.355–1.321

  Huining

0.506

0.275–0.929

  Yilong

2.116

1.056–4.239

  Gender of patients (Male)

0.976

0.686–1.389

 Age of patients, (years) (Less than 1)

  1–5

1.688

0.920–3.098

  6–9

1.472

0.724–2.995

  10–14

1.204

0.539–2.690

  Whether patients get insurance compensation (Yes)

1.275

0.663–2.452

  Normal heath of patients (Good)

0.562

0.309–1.024

  Department (Paediatrics)

0.185

0.094–0.363

  Day of the week of admission (Saturday- Sunday)

0.685

0.459–1.023

 Disease category (Respiratory disease)

  Digestive disease

1.248

0.686–2.272

  Injury and poisoning

0.346

0.142–0.844

  Conditions originating in perinatal period

0.245

0.115–0.523

  Infectious Diseases

1.053

0.533–2.082

  Symptoms and signs

0.458

0.172–1.218

  Circulatory disease

1.304

0.341–4.979

  Others

0.556

0.276–1.120

  Admitted Emergency (Yes)

1.095

0.654–1.834

 LOS, (days) (Less than 5)

  5–8

0.634

0.432–0.932

  More than 9

0.505

0.266–0.958

 Age of doctors, (years) (Less than 36)

  36–45

1.646

0.929–2.915

  More than 46

1.264

0.756–2.113

  Educational background of doctors (Junior college and below)

0.994

0.580–1.703

 The degree to which doctors believe they have autonomy in clinical decision-making (Low)

  Moderate

0.632

0.307–1.301

  High

0.904

0.492–1.662

 The degree to which doctors believe they can understand the patient’s feelings (Low)

  Moderate

0.555

0.317–0.971

  High

2.156

0.789–5.889

 The degree to which doctors think tensions between doctors and patients (Low)

  Moderate

0.823

0.433–1.567

  High

0.654

0.297–1.440

  Constant

5.930

 

Step-9

 County (Dingyuan)

  Weiyuan

0.597

0.346–1.031

  Huining

0.468

0.281–0.777

  Yilong

1.752

1.034–2.969

  Normal heath (Good)

0.545

0.305–0.974

  Department (Paediatrics)

0.173

0.092–0.324

  Day of the week of admission (Saturday- Sunday)

0.690

0.465–1.024

 Disease category (Respiratory disease)

  Digestive disease

1.305

0.728–2.339

  Injury and poisoning

0.401

0.165–0.970

  Conditions originating in perinatal period

0.215

0.104–0.446

  Infectious Diseases

1.058

0.539–2.077

  Symptoms and signs

0.536

0.206–1.396

  Circulatory disease

1.219

0.335–4.438

  Others

0.553

0.279–1.098

 LOS, (days) (Less than 5)

  5–8

0.642

0.440–0.936

  More than 9 days

0.501

0.266–0.945

 The degree to which doctors believe they can understand the patient’s feelings (Low)

  Moderate

0.697

0.446–1.091

  High

2.302

0.862–6.149

  Constant

6.694

 

Based on the logistic regression analysis, the major determinants of inappropriate admissions of children to county hospitals included county, normal health status, treating department, disease LOS and the doctor’s self-evaluation on the understanding about the degree of the patient’s feelings. With Dingyuan County as the control group, the possibility of inappropriate admission in Weiyuan (OR = 0.597) and Huining (OR = 0.468) was significantly low. The children with poorer normal health were more likely to have appropriate admission (OR = 0.545) than the children with good health. The children hospitalised in other departments had lower inappropriate hospitalisation rate than those in paediatric department (OR = 0.173). Compared with the children with respiratory diseases, children with certain conditions originating from perinatal period had a lower likelihood of inappropriate admissions (OR = 0.215). Moreover, the children with LOS of 5–8 days (OR = 0.642) and 9 days or more (OR = 0.501) or whose doctor believed that he/she could understand the patient’s feelings moderately (OR = 0.697) had the lower risk of inappropriate admissions than those others.

Discussion

Inappropriate admissions of children in county hospitals in rural China

In 2017, the rate of inappropriate admissions of children aged 0–14 years in Chinese county hospitals was 61.35%, which was higher than the rate in other countries such as 40.7% in Kuwait (2012), 29% in Canada (1993) and 23% in Sweden (2004) [13, 20, 21]. Based on the previous statistics, the differences in inappropriate admission rates were due to the differences in the specific age groups of children in each study and the differences in health service systems among these countries. Firstly, China has not yet adopted a mandatory system of primary care, so patients have high autonomy in the choice of institutions for medical treatment [23]. Secondly, China is implementing family doctor contracting services, which usually means that a service team composed of township hospitals and village clinic doctors should provide basic public health services and medical guidance to rural residents to improve their health behaviors and to clarify medical care [24]. However, most of the primary medical institutions in China focus on the provision of basic public health services projects rather than guiding patients to seek medical service reasonably. This easily leads patients to select a relatively high-quality county hospital for treatment, rather than choosing the primary medical institution that also be capable to diagnose and treat the disease.

The 61.35% rate of children’s inappropriate admission in this study is higher than that in previous (2013). This change is due to the difference between the policy environments of each study time and the children’s characteristics. For one thing, changes in policy environments may lead to an increase in the rate of inappropriate admissions through changes in the interest-driven mechanism of medical institutions. For another, children have vulnerabilities, and their diseases differ from those of other populations [25]. Risk aversion refers to the strategy of taking the initiative to abandon or change measures to avoid the risks when the possibility of risk loss is high. Therefore, when children’s diseases symptoms are mainly characterized by long-term cold, fever, diarrhoea and abdominal pain, the parents tend to have their children hospitalised. Moreover, because relations between doctors and patients are more strained than before. Doctors will consider that parents are more sensitive to the treatment mood of children, that is, out of concern for children, parents are more anxious when their child is sick, and that the instability of outpatient infusion treatment, i.e. the side effects of infusion treatment are great. They may admit children who do not need hospitalisation. This phenomenon also increases the possibility of inappropriate admissions.

Characteristics of children who were hospitalised inappropriately

The characteristics including gender, disease, treating department, admission in the emergency, the day of the week of admission and LOS in the hospital were consistent with those in the previous research results [1323]. Except for gender, the day of the week of admission, educational background of doctors, doctors’ view on their decision-making power and their understanding of patients’ feelings, the other variables had remarkable differences in the appropriateness of hospitalisation of the children. In the present study, the rate of inappropriate admission of 0- to 1-year old (infant stage) is low, which occurs because infants are likely to be hospitalised for preterm birth, congenital problems and infectious diseases [16]. Zhang Yan et al. pointed out that the NRCMS reimbursement design directly determines the choice of medical service and leads to the patient’s moral hazard. In this study, however, there is no correlation between obtaining medical insurance compensation and rationality of children’s admission [22, 26]. Previous studies also showed that when inpatient and outpatient costs were similar, the patients decided to hospitalise [27]. Therefore, the low cost of hospitalisation for children, in certain degree, can explain the relationship between medical compensation and children’s inappropriate admissions.

Determinants of Children’s patients who were hospitalised inappropriately

County, normal health status, department, disease, LOS and the degree to which doctors believe they can understand the patient’s feelings significantly affect the appropriateness of the children’s hospitalisation in county hospitals in rural China (Table 5). International experience shows that the mode of medical insurance payment determines the mode of operation of medical providers, thereby affecting the inappropriate admissions [2830]. Therefore, the differences of NRCMS payment methods in the investigated areas led to the discrepancies among county hospitals. In this study, the payment method in Dingyuan and Yilong is the global budget, which emphasises reducing the inappropriate services through total amount control. This may cause the county hospital to inhale a large number of patients who should be hospitalised in the township hospital since the county hospital is the centre of the rural medical system. The payment method in Weiyuan and Huining is payment for the single disease, which emphasises the reduction of inappropriate inducement by controlling single diseases. However, there may be doctors who decompose hospitalised patients with comorbidities, resulting in inappropriate admissions. Therefore, the medical insurance department should increase supervision and scientifically promote the reform of medical insurance fund payment.

Because of lacking the mastery of medical expertise, children with poorer normal health status are less prone to inappropriate admissions. On the one hand, when children who rarely get sick suddenly become ill, their parents will have excessive care, which may result in excessive demand for children’s inpatient services [8]. On the other hand, some children who are not in good normal health had experienced medical treatments. Parents of these children have an increased understanding of reasonable treatment methods, thus reducing the generation of inappropriate services. As a result, we can reduce the occurrence of inappropriate admissions by strengthening the management of children’s health and guiding parents to seek correct medical service. Consistent with most studies, the treating department has an effect on inappropriate admissions [31]. Paediatric departments are likely to have inappropriate admissions due to the internal management of hospitals. The management problems are reflected in the admission criteria and the incentive mechanism. For one thing, most of the children hospitalised in other departments are surgical patients; hence, their needs for hospitalisation are easy to generate. For another, given that the assessment of doctors is linked to the number of admissions, the doctor’s personal salary is linked to the business volume, and the admission criteria are not unified. Under the background of information asymmetry between doctors and patients, doctors are prone to induce demand and thus affect hospitalisation [3234]. Therefore, we should pay attention to the management of paediatric departments and define the admission criteria for future management. Disease to inappropriate admissions is consistent with the previous research results. The main diseases of children are common diseases, such as bronchopneumonia and upper respiratory tract infection [6]. Most of these diseases have not reached the standards of admission; hence, the rate of inappropriate admission is high. Meanwhile, the outpatient department has different treatments and control levels for different system diseases. For example, cases originated from the perinatal period and child nursing-sensitive situations are not well controlled in the outpatient department. Hospitalisation is more appropriate than outpatient care under these circumstances [35]. The inpatient’s LOS affects the occurrence of inappropriate admissions. Accordingly, the inappropriate admission rate can be reduced by controlling the first diagnosis at township hospitals or community-based medical institutions.

Limitations

The shortcomings of this study are as follows: Firstly, this study is a cross-sectional study due to the limited investigation time. A panel data structure for the children admitted inappropriately is impossible to establish. The conclusions may not be comprehensive enough. Secondly, the international standard of Paediatrics Appropriateness Evaluation Protocol was established for the appropriateness of children’s admission, but to judge whether or not these standards are applicable to county hospitals in rural China is impossible. This study takes RAEP to evaluate the hospitalisation records of children in county hospitals in China, so there may be deviations in the criteria for different populations. Thirdly, the content of the doctor’s survey is not rich enough, and further research is needed in the future.

Conclusions

According to RAEP, the incidence of inappropriate admission of children to county hospitals in Chinese rural areas is high. This high incidence is directly related to the weak level of primary care services in the health service system, the initiative requirements of the children’s admission decision makers, the interests of the medical institutions and doctors. This study found that the government can control inappropriate admissions of children from the following aspects: 1) Improve the rural health service system. The inappropriate admissions of children can be controlled by improving children’s disease diagnosis and treatment in township hospitals and the level of primary medical treatment and two-way referrals. 2) Strengthen the leading role of medical insurance. Firstly, we should integrate the interests of medical service providers in the reformation and promotion of the mode of payment. Secondly, the role of medical insurance in the admission supervision of medical institutions should be strengthened. The regulatory content includes a clear admission standard. 3) Reinforce the health management of children. The primary medical staff can guide the parents’ effective medical treatment by educating the children’s guardians on the prevention and treatment of children’s common diseases to reduce the inappropriate admission rate.

Notes

Abbreviations

LOS: 

Length of hospital stay

NRCMS: 

New rural cooperative medical system

RAEP: 

Rural appropriateness evaluation protocol

Declarations

Acknowledgements

The authors thank the Health and Family Planning Commission of Weiyuan county, Gansu province, for their willingness to provide us the data.

Funding

This work was supported by the National Natural Science Foundation of China (NO. 71473096). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Contact information: chenyingchun@hust.edu.cn.

Authors’ contributions

S-H.L. and Y.Z. and Y-C.C. contributed to the conception and design of the project; S-H.L. and H-M.L and J-J.C. contributed to the analysis and interpretation of the data; D.S. and X-M.H. and Q.Y. contributed to the data acquisition and provided statistical analysis support; S-H.L. and Y.Z. drafted the article. S-H.L. and Y.Z. and D.J. revise the manuscript All authors supplied critical revisions to the manuscript and gave final approval of the version to be published.

Ethics approval and consent to participate

The research methods and investigation tools in this study were approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (IORG No: IORG0003571). The patient information was anonymized and deidentified before the analysis. The informed consent was obtained from all participants in written.

Consent for publication

Not applicable.

Competing interests

The authors declare there are no competing interests.

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Authors’ Affiliations

(1)
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
(2)
Research center for Rural Health Services, Hubei Province Key Research Institute of Humanities and Social Sciences, Wuhan, 430030, Hubei, China

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© The Author(s). 2019

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